{
  "schema_version": 1,
  "intended_visibility": "protected",
  "source_repository": "https://github.com/ChTauchmann/hessian-recipes",
  "source_commit": "7716f3c7a92b413ded73723683820f69016de9ad",
  "source_sha256": {
    ".dockerignore": "ce215befbcd6c37b2587aa4122496bb2e3ba1777d393c8265d6678f76e802d29",
    ".gitignore": "efcc3f834c427f8476a42b2c911e01dbcd3a954b1ef5d1a418a37d1a1ba097da",
    "MANIFEST.in": "a08dfe08f0fb4166fd137c5fde86ff678d2521334a9cb340b75403bb6378b5c9",
    "README.md": "1b7c5a52cdd4a235a9c3a921078937dade91f7c02286dbc85bdbe375b68c5dec",
    "benchmarks/README.md": "f50a08220256245535aedd8f228faffbde95899da649252d42c3e1ee234ed8d1",
    "benchmarks/reasoning_reliability/data.jsonl": "fe294af00937e0c757f54c37f8aaf125501d71c98424f58d07f4e77f01e08cf0",
    "benchmarks/reasoning_reliability/predictions-candidate.jsonl": "d1f59e31ebce94f32584ce7d0c0316da1947888a28f01f398300923f443bedde",
    "benchmarks/reasoning_reliability/predictions.jsonl": "cff4fb2f78c64219d58738b19fae80bfd06dc20ac95242f0b9a583c6a2aed6e9",
    "benchmarks/reasoning_reliability/spec-candidate.json": "8ea53e37b7ea3ff18aba6cf5419fbcbc0925fe7f34389c152ff0fff2c880ef66",
    "benchmarks/reasoning_reliability/spec.json": "cae40898441efdb3cdbda3ca7e9950ab138efbc0baca0523ae3767bbeba12bca",
    "benchmarks/tool_workflow_reliability/data.jsonl": "e47196fe3b3ec3d3de48e916035640fa111a990074e242351df42a78f8978749",
    "benchmarks/tool_workflow_reliability/predictions-candidate.jsonl": "1869775da3b2f0d30d0a8b440ae56585f0e07695d55f9dc823ab3a230b33bb7e",
    "benchmarks/tool_workflow_reliability/predictions.jsonl": "d7fb91c114cf2932f6e95ac858b3453afbb72dd0fd0047c91f276fbe970a2acd",
    "benchmarks/tool_workflow_reliability/spec-candidate.json": "a021d237401797bbbe698c5cdb83fe169a476acbfa7d64c8430cd3ceda4dc252",
    "benchmarks/tool_workflow_reliability/spec.json": "8f848fbed28c606338d4fc145c48c4240a549b1836c99f651977e65192d91c69",
    "cluster/determined/german-qwen-agent-rl-shell.yaml": "2a5b70a8558022151c365351962420623c0b4c75fbf2f2ad90495e3ba4f5c40a",
    "cluster/determined/german-qwen-openenv-command.yaml": "dc3433d97428cd5aef7a1767621d6473ec66939ee7872dd2ae7500e6b1aecbf5",
    "cluster/determined/german-qwen-shell.yaml": "e1f65e920e85cddbf60f7834e800e2af30041b325849bc2506d2070962b31e40",
    "cluster/determined/jaif-cpu-command.yaml": "3488245150710e0de98c89a9ef999401367756ed7246e48b5bfa1610c97df389",
    "cluster/determined/jaif-managed-cpu.yaml": "cccb8ff6eea1e1093c0d329fd6663fe49f2525f296c433d62dc27b775499b39d",
    "cluster/determined/jaif-managed-openenv.yaml": "5f9977f06c6c49f15b7ca04626dd20e32e12e93db78488645088e630c994d8ec",
    "cluster/determined/jaif-managed-qualification-openenv.yaml": "58a0908aa88faa23967adcd5d2edc2e9e2f32bf5afd38b9b162d58d0ad5cbdd6",
    "cluster/determined/jaif-managed-qualification.yaml": "84e6226783807db485362f67c7c231bd7023cfd1783a068ece0da22e34ba651f",
    "cluster/determined/jaif-managed-training.yaml": "103e1710ca882b4b53567c98f699cfbaebc4f5cdf7cad9fac03bdf9b57e240c9",
    "cluster/determined/jaif-shell.yaml": "6fc95b0e3bf855da5fab64f1dd27ff345675f0f50a66c0569a9a78e120c3c2c4",
    "containers/Dockerfile": "7b3bea6296d279597849ab2bab867f6e8de19c43b3d37413b1eee8763c1e4fba",
    "docs/README.md": "cf9d532ad58212db63daf24e3780dd299817d26542ab5561f3e942dda5e6364c",
    "docs/agent-gyms-validation.json": "0105267ff56d1144c4d2adf924ea2a92a1b896c453526d73a28bbd8f69200668",
    "docs/agent-gyms.md": "542eb7d7eca2bd4d1eda3ca0c8e690c3130de8c9ca8b42786f0642f2f6fabba4",
    "docs/agent-harness.md": "9002670e73a3d10cba417ae584d689a120a4a4a4ce59d80b014cc877e93bd0b9",
    "docs/architecture.md": "8938c824cf34447b4d4eaff643d952c041dd8f4b96867389f64a75dcee2d5ddd",
    "docs/benchmark-designs.md": "0f44e2fc5cb4e154349c2f7db612de7957212d27e62830ce43250ff74ae3f835",
    "docs/domains.md": "812cdea04e4026f12cec97ebe6293f12a8d507a1e274a335d3c522ae8260223f",
    "docs/environment-frameworks.md": "2e14920be4d9b254d9a8d26900573c4207f166f17ccb87ff5f411da911196a04",
    "docs/evaluation.md": "1d3d0d73b37e26f118ab96204512904436bc3467dde19452a3daae14107bf420",
    "docs/huggingface-publication.json": "0fe253d1ae63f6f43867deafd82aab88d2cb32699798ea0c8fea9cca1e17a7d1",
    "docs/huggingface-ui-validation.json": "dcc59504420c0072b197f89114d74960b581b23f02ab246f646ac1abae6f3e34",
    "docs/jaif-jobs.md": "08d1f4dd3910c924eb9ed3161f538b13f81c1c80cca70a91944eea2518ae1f97",
    "docs/nemo-gym-stress-validation.json": "669b0396256d58a57f622781ff21e01446d41696696e4b18708da8c507e273cf",
    "docs/openenv-validation.json": "d553199eed4d315be03ebf95db61e7a139647de31a5db528bb1907a72979bb87",
    "docs/operations.md": "499506dbd354bf965a60f4988ee0572725f7b25e8780d3cccdfc541d2ed5b775",
    "docs/programme-status.md": "24e66dcd563c5cc8db0e440442c84aebd42256856cae7f03001e6aa34245d364",
    "docs/related-work.md": "afc6829439144d7015f669b08a8c49adc5b785f1022d3df645444bc3abb7a28e",
    "docs/releases.md": "239fb467d3c550539756f4db010e08f79cc1c590fe0e715f94d3391bb7384cb3",
    "docs/roadmap.md": "54d1e232abfab7b8ef056f89f1688229f647753b104313680b7c6c297653a39e",
    "docs/training.md": "b44120ff40e9ac8d37137ac8296fcbd74d5f8f7a10c5ad5fa34f01bbd958243d",
    "docs/use-cases/german-agent-rl-results.json": "0c0614f8e10315703fc54e22b1b3e5b4f99acc4f92a78b51b50c4ab1ba45fa51",
    "docs/use-cases/german-agent-rl-results.md": "3ec97be42c1cd6e9728028f00c861020c9ad652f6cc5eed8ce37fafeb2ab3683",
    "docs/use-cases/german-agent-rl.md": "c40a75f0f74f2fa38487e95567bc9b060a9687276fb3d14d8fef26d8c00968d2",
    "docs/use-cases/german-nemo-long-run.md": "b57367c5784a5b2306d4789554f363dd15403560e66d4ffcb779d3405aa1d8de",
    "docs/use-cases/german-openenv-comparison.md": "8c40be32e8adb13c3c19d14d94402fb136756acf708aa73fcc6540daa02119da",
    "docs/use-cases/german-reasoning-results.json": "9be0e46b31ba3c6f810c63dffa9f9819feffd1266c981b8b59558f29e308c1cf",
    "docs/use-cases/german-reasoning-results.md": "49292523882ff1486584f264197b5ee0904cb47a8492f209ff3cbcca3100dc47",
    "docs/use-cases/german-reasoning.md": "8a48cc0f7443a18cd20955547db81746ad35cd5bba46645fdd35233a7406c870",
    "docs/validation.json": "305c2a13c231d458b99c02b1db3cab90cdb7021c8b734e223247cc38811aae73",
    "docs/validation.md": "764513391ecd4aa0b52643b4ff0ad7925810e13c3b3fff5c363941d617757eab",
    "examples/agent_gyms/nemo_gym_client_smoke.py": "43fe727a055083ec24e998c9826a14917a6541a630c17162031bdcbdca8d8613",
    "examples/agent_gyms/nemo_gym_server.py": "8cc9ad8efc50cea8af2ec7f4fce868e73bf449fc6c820a530281a15bce14dcf5",
    "examples/agent_gyms/nemo_gym_smoke.py": "371b632f05d885409cf7c2f216d8f534c7e18a5e53d1e1ca891bd2376a745097",
    "examples/agent_gyms/nemo_gym_stress.py": "12af94d8d89913370edd6df3f94640fc47249c270b0a12f0d32381ca3fefcd39",
    "examples/agent_gyms/openenv_server.py": "8d909fb7a6f24d5265a127e448712d33f6f3f6147f32704aad0786d71af8e2fc",
    "examples/agent_gyms/openenv_smoke.py": "903a686b773e15714c1173468eb4f0af3e5b119598b17ec2ba88bb678dfd9d38",
    "examples/agent_gyms/verifiers_environment.py": "259c15b3b10d51c5cc63176865df3471e9f0f26f824b7063739f6a18b7fb3fa2",
    "examples/agent_gyms/verifiers_smoke.py": "d59a011e57bf516ebf58bbd5a4834bad1835e0739e90cc774d876641626df199",
    "examples/agent_harness.py": "0c852a82e1c85e3ebc641bf9c79e1572c355212868c4e78d5f7cbf6a0556e4c8",
    "examples/agent_lightning/hessian_lightning_harness.py": "bbdec718f9e1fd777bc88308ac972ea464ad501434dd84a260f7eb39b977db6c",
    "examples/agent_lightning/launch.py": "a05913ebb73ffa52ca77e06814d6be01051746b4cd7bc8e304a44cf896a2ee41",
    "examples/agent_lightning/train.py": "9a74ba25cad340ecd730f86b56e92803358a0d5670f1e95b9efd256d7a845d32",
    "examples/evaluation_cpu_smoke.py": "5cb87036d41041c2d7d13516b7beffeb8b3d916c086e8d64d73631b1547204fd",
    "examples/german-reasoning/DATA.md": "b8636772cc2e874aeae45314d029e22b9952e07e13a17bd5e8822f030d9527ee",
    "examples/german-reasoning/report.py": "d9739c007ed1e5d3d3fe44df070b02c20b2bf7bb15f01520949cef8502092772",
    "examples/huggingface/README.md": "d7ef013c1889cbb2098938d7d2c0bf85916e7fa940eac9f8650f11b7660d795f",
    "examples/huggingface/RUN.md": "cfcf130e2178600d0e1d4914c3fbc1561ede0ba4f31e5f75f9f6219a2daab4b3",
    "examples/huggingface/brand/OFL-Poppins.txt": "6be04893d770899a015649c7aa3b582f871b272f8747a92b78b17c3e5c8b2573",
    "examples/huggingface/brand/Poppins-Bold.woff2": "d83ab9cc7335a68b7e86a1aeebf6626ea6027c63d28d898bf66aaaf43d3197a3",
    "examples/huggingface/brand/Poppins-Light.woff2": "fb1ca56684a87b209f611ce83431f6e79b38fa48191074f3a4dba5962798db06",
    "examples/huggingface/brand/Poppins-Regular.woff2": "efb99a75559353bdd76adff36eb32002df26da19e4a8e46a240b29f3fb02d39b",
    "examples/huggingface/brand/Poppins-SemiBold.woff2": "f5bbc8913d08cdcbfe526e3680418a1d4f881298a0fe9caa96242601c0f3f760",
    "examples/huggingface/brand/favicon-32x32.png": "d432f22b36d8a316c2ba6dbc9462dcb549f8659b70014eb23925650c7e1750fd",
    "examples/huggingface/brand/hessian-ai-logo.svg": "0f72a98a23b9b4664e955ab293e7ef8f8d6aa9caf8a051725c36e062d6d4aa4e",
    "examples/huggingface/brand/jaif-logo.png": "7dc0fac57d6aa1688f83a485ec86cefb9a8d2d8db36205fc0e13bc1e8371296d",
    "examples/huggingface/brand/jaif-provenance.json": "8df8290a4dfe7c763cefe4ce1bb79b13501441bce0e853b7afce1bdfcc4cefd9",
    "examples/huggingface/brand/provenance.json": "2da7aabd4fe8ceeb206eeb0eb4287436c0bd67d006b01a03244e378df7fecfba",
    "examples/huggingface/brand/safari-pinned-tab.svg": "edcf2a7e598c9cabc1daea4e11dc908b0b5aa3ee02ce2f4c33374fb15047593b",
    "examples/training/cpu_smoke.py": "d8cfac90d854a0fb198588255c401b544bb4d0d4eea24cdbc3f5fc97d35d2b6e",
    "examples/training/prompts.jsonl": "feaa18027fd6713e7a7a7ba93bdecd4ef3f322ed965cbb3d44173fd2d2b49d87",
    "examples/training/sft.jsonl": "71a69750bfa00230c9cc03416e422db2432f626743609eefa5b8e7f63ff4e5ed",
    "examples/training/teacher_sequences.jsonl": "f412cb1139ea1bf9cdfad258c4c0272d524dbd4c956a5424be07182378d5900b",
    "pyproject.toml": "c5f465c86f881b3d9d45f2e69ba903de7bb961ca062d638ab7dac96b597a0bd8",
    "recipes/agent-lightning.json": "b89d5b53e8ec0d39134e8850163f338a602ac878d486c33ef7fe6f4f29e3a770",
    "recipes/reasoning-grpo.json": "35b9f59f5a9981b76ffe3449747d795b2755b940062066fd15ad1fd6fde2e052",
    "recipes/reasoning-sft.json": "7dd91ce90b0cd1e4ac260d03ea75d295878b2aa046b18ad601259626397772e3",
    "recipes/teacher-generation.json": "b6d7414510c5ebdb1ce55c076c59d2bc70caf03d7e13dd681a53b2bbb820baee",
    "requirements/german-qwen-agent-rl-cu126.txt": "cfe26c01c8285d0f0143d346ae452106bdd9daff770b16217f5c4d1509d9a9ad",
    "requirements/german-qwen-cu126.txt": "6c370f2af93b47cac4478f83f86a3649ba12be89ca31c50fb4e4e3ae13d575f3",
    "requirements/german-qwen-managed-cu126.txt": "97c133b20462e09b2e60b8747a52044cdff9f598224e8a5fa400ead4e3e5d342",
    "requirements/inspect.txt": "d7273a4b3c03e34c44eec650486479528e4568e1066e1d6313c4263f202889f1",
    "requirements/nemo-gym.txt": "c205cf9633a8941b87d5f79eb2bdd76f435654ccca27de363241034875209bc9",
    "requirements/openenv.txt": "f4cb825a3a7d44ad677f47753e28e316bd38d96c8f89646798ba71ffd7279cdb",
    "requirements/training-cpu.txt": "9b7e7593362b18d27a133815924ba69e5eb0d56be1385f10a74bab606eb050b5",
    "requirements/verifiers.txt": "9a7f6a621e968df076ee4d058a680c13ad9d6e08c0444c6aaacdbc802fb9d194",
    "scripts/gpu-preflight.py": "042027005a51d9605b1eee155c3c8b51d1d04b1cf723e79e03b3e6dcd142e526",
    "scripts/run-german-qwen.sh": "7e296a59a4166f5355f6bc7f2f4018b6c74cb5c63eee707e29b7fb3684c45130",
    "scripts/run-nemo-long-queued.py": "e1d8630fe5376a1f13dfa71aabc9033cebda12c37c93f94439411d8e9b24b92f",
    "scripts/run-openenv-after-nemo.py": "93f227c4d5f7f25367ea1663d98d11affc09dd00309e542f95c0820ddc50fc4a",
    "scripts/slurm-train.sbatch": "714aec680728fe30b8ad68fb7f5595617383c88832edc2462e8fbd2fa9403346",
    "src/hessian_recipes/__init__.py": "789c960cdc4eca10e9b04ed4a66bdcb59f4c7236778ae6ba139277fa8c655ac7",
    "src/hessian_recipes/__main__.py": "935a1c1166b0c1ea35a82256345000bf2c73ded718d77773bc27a71ecce28f7d",
    "src/hessian_recipes/agent_rl_evaluation.py": "82438c4b183fb99a4c68983a60004c986975a372ec1c8ec0d1d61696d4806b52",
    "src/hessian_recipes/agent_rl_pilot.py": "45ea9ca59623d0aab1302e9da274f57f440c7a6b6757e8e46829944356da91a6",
    "src/hessian_recipes/agent_rl_report.py": "cd42fee673a4cbbc004952b08ab0bcc93d6786b171bf2bd0003e1e4a6aafc924",
    "src/hessian_recipes/agent_rl_tasks.py": "b62f23111b55f1c12d48364521b5799e19b6c716514200a79db1b8d553b13bda",
    "src/hessian_recipes/agent_rl_training.py": "356c807a6a05a7218aae4eb929792bd8b03442e8a1684ca7863c53f8ff70b2e1",
    "src/hessian_recipes/budget_lineage.py": "10813a4780b73eaf2d2ed7beda0930e928588425a7042b1f56b729cfe2c60973",
    "src/hessian_recipes/checkpoints.py": "9a3c384b1b5cdbc96986fd4d03a668cf13fd7b5237bceba185f2eb693f11ce8c",
    "src/hessian_recipes/cli.py": "c1408af82d3c5f69625f8c73621c04bda3139ea35e8a3cda4ae930d66f06524e",
    "src/hessian_recipes/distillation.py": "c71707023998274b422a7d416a0c91d14803ee6ef85031f63e3eab163e2b5f5e",
    "src/hessian_recipes/evaluation.py": "b4f5434c4164125a78e8b1745a35a065a91961b9f93a70c21f9ea3bf7ab9797a",
    "src/hessian_recipes/german_data.py": "7823f390e5898fdf991033ed3e00c6582e17a2eb5c825f467a45f0f7418ccb99",
    "src/hessian_recipes/german_pilot.py": "9ea8bf9a589f67f3d23f7434ff9388be1f1d188ea28495605f72d5f98c99027c",
    "src/hessian_recipes/german_report.py": "86c838dd5ce7f9eb6d96374c3e3919924f7b61bc87445c83f39705634308bb61",
    "src/hessian_recipes/gym_client.py": "6371e637cdb80cfad5a56f3670079e8c24abbc9b10631ce3d13a3f228fca5166",
    "src/hessian_recipes/gym_experiment.py": "1b8453d0fb6b3cce5b3009de9156ded6983db2a2fb900124f6f77f5331e6eaf4",
    "src/hessian_recipes/gym_experiment_evaluation.py": "94ae148ede98863a487d7bafc7cb09c3d2ebaf50cd21a1cf91d49d2c1ea9535f",
    "src/hessian_recipes/gym_training.py": "c57964e6c9977c09228d9470de281925b4686761fc55b10a5c5d645e71a354a4",
    "src/hessian_recipes/gym_training_long.py": "98c7d0ded9fd46126821331d1f97e750ca15140d1e2da01ce6bd3371bf9a58e4",
    "src/hessian_recipes/hf_recipe_hub.py": "ae20d01b4fa2f6d5b3117c169c1108bb709421b4fb3bb1a7a084f9454139d24c",
    "src/hessian_recipes/hub_content.py": "816a664eb21589b426a8fa5080ba665c3e1a0d2071b78b1dd53916703d7abaca",
    "src/hessian_recipes/hub_deploy.py": "c30058270a97f2a7c662a57be45c2210ae87832ce74ed16d46e284f507b3979b",
    "src/hessian_recipes/hub_theme.py": "b206fb1b09c3570eb0fdaa9e86109211d9721de4216f3f697b5d235dc46c8307",
    "src/hessian_recipes/inspect_tasks.py": "ac13e9e91474c80e7d6fae5e7b8bbf32b2f85c7ae63140daea4a02d0b21d930b",
    "src/hessian_recipes/managed_training.py": "ee027a38888c032cc20b7deab1bc63a3b69b3f6a89f3e7b535dda9897cba7a71",
    "src/hessian_recipes/managed_trial.py": "3ac4c9e0bd9fecbffba926f824447fe959e1a68e96f3e6fdf0e56b4a422c759b",
    "src/hessian_recipes/openenv_client.py": "68e96371b524a95a8a16404739e802f245183fb02c4507192a4df3b11d381bf0",
    "src/hessian_recipes/openenv_experiment.py": "948ca23681b43fb1d0c8549a36ec4fdf3a35d39f7c934f3a7df7a933730a01d1",
    "src/hessian_recipes/openenv_training.py": "2ca82c14ad15209974fdd961d37c92c289b58e79bef64c2f78c6ea8f19d107b4",
    "src/hessian_recipes/releases.py": "2a402248e9a092614bf38e022002d661c6adc89c07c092c884a7efa8d0c43d5d",
    "src/hessian_recipes/training.py": "529b40d87092ce91103fc58197ee29b8381bf449334d83a6dd04e4d2cf6b6148",
    "src/hessian_recipes/trajectories.py": "58444e77707284835840f3766f3faa1034d6a8e1dc08705b288690e7e9b6892f",
    "templates/huggingface/dataset-card.md": "683c5cd3e0807bf8147c9b9ba6f041a32d973f486420595a7b672b428605b2c8",
    "templates/huggingface/model-card.md": "dafdc91d02ea544b2055d8445b81d97754d09b679255cebe7a94214c771004d3",
    "templates/huggingface/organization.md": "334b7acaceb7b96d21fe7cfb26681759fdcf045fbf1816eba9010cb61b39cd58",
    "tests/test_agent_lightning.py": "a06e17b7d90a9efbeeb834e933b8fc8287ca9ce31a95d3dd5cc88d833285374e",
    "tests/test_agent_rl_evaluation.py": "a28f505b5225b9a88ff1e277a40ba67d5eb041f61a5b7fd1f97fddfb38035616",
    "tests/test_agent_rl_pilot.py": "38097cb84789b04928faa4a8ca476b7965da64403e1c09eae076b838458cb7d2",
    "tests/test_agent_rl_report.py": "e55d55b8a181bb96b21e2f1ec59165c36036312cb03c3f1a4b4bc489749ffe34",
    "tests/test_agent_rl_tasks.py": "9f0a8f8ece423c3444f248b8803991dc4d6b73444fdfaf7e1ad56333772caefd",
    "tests/test_agent_rl_training.py": "59999cc688ec2d4db1b86763b25632b6b5f8930fd619e37d9e7c7757d9dac214",
    "tests/test_bounded_qwen_parser.py": "38680962d4065c918b8cb408200432ed0d0163a011b69aefda80b69d88171470",
    "tests/test_budget_lineage.py": "749349a2404e074d4d45edf27a46529a3d7ad9664b1f567b6b5e0d1c9106b955",
    "tests/test_checkpoints.py": "1f570bca003e363de79b7757b3edae2844f926223802f50e038c25ed95b26153",
    "tests/test_cli.py": "32e1fcd895f1f4c0fe2810a78c36800ac0a713509ce1704680a3354b53979651",
    "tests/test_distillation.py": "f528c90950d14815e33b567854f84133edb2c915eee32d71134881a7e22e21c1",
    "tests/test_evaluation.py": "90eb4301e2e306a7c348e52a65ffa4df8c710040cbd20f509276181af5e62f0b",
    "tests/test_german_data.py": "66edec18107652604c8d6d598bb166af343bfb6fcf1360808690f7414776cb17",
    "tests/test_german_pilot.py": "4d8a7636866edac562df6823e9f14bc0c92b9f570187b8bbf705cbc169d2aff0",
    "tests/test_german_report.py": "8e796b5c9503af5d49b7ad560def592e6a01ba6d29a381f187e88865a2ad84ce",
    "tests/test_gym_client.py": "53eb519f2fe61eb080d26393337b4a8e8d0dd3bb3504162ec80960c2caafd467",
    "tests/test_gym_experiment.py": "6eed744b7f8bff8ea1fed64a5a40920ec4a3cf85682cab5e2ee65475c11fe178",
    "tests/test_gym_experiment_evaluation.py": "2a8039866fb6a0d3428f208427d7656c39c63d1aabdacdba358ef94e2ec46380",
    "tests/test_gym_recipe_stress.py": "e334b765dd726a176f0cf000452ef2a14977b335165a6912a8570dfe11fb5c89",
    "tests/test_gym_training.py": "1bb0f29f4cee5d19c1ce0bc75814f8d10faca22f47b7ec47340d2bf04dfbdf9d",
    "tests/test_gym_training_long.py": "d7fb7e9899bc27b7c45df4492830a00d542c20d9ef0993af02cb04f933ac43e9",
    "tests/test_hf_recipe_hub.py": "b014709e3668ec220b4ec5784af211c5450d40fde50b1cc9b30e831f2b3fa475",
    "tests/test_hub_deploy.py": "31b8f2d5768ea6e49da3316495c9ba4235d8199b89b9aad19a7cbdfe7ac303f0",
    "tests/test_inspect_tasks.py": "5f136a1fcb5c771f01fb805d376ae209daa7e46af294a4f2594904d80c695da3",
    "tests/test_managed_engine_hooks.py": "6ff393aa44c9e85d9398c3882c41b952a7ef4abee19d1567675c984f974f7c4e",
    "tests/test_managed_training.py": "81bc4e7da33d5d68c7ea742e709f8d9d47c205130708fab55f1281775f765f9a",
    "tests/test_managed_trial.py": "2d34f327c3c13e86c5676abcd246986b8796ab7aadf814a4fbf1e3dfbeb0a2e0",
    "tests/test_nemo_queue_launcher.py": "36d753e48b1d00f5ace40c447b3f65c322c5234de6baaa5689afc2d80bf772b6",
    "tests/test_openenv_client.py": "b1aae78c54a35aa1454ec01988d3108cc3c0961086385228acde5ea538334721",
    "tests/test_openenv_experiment.py": "5446b7dc43530f0e08794088140500a6082ae21a1b29bdc5fae910104193d1cf",
    "tests/test_openenv_queue.py": "d6052b0ad7aa5022a7a06bf1c93adcc422ef299946c04db46ccd17e7581c25e7",
    "tests/test_openenv_server.py": "2d2bdbf8993fbe67c0e104d04e4782bb58cbdba6fc28033fa9b4925523f89bb5",
    "tests/test_openenv_training.py": "0c1a0b1e38f750b248b41a08b158dd05f0bcf8718b8c1258835ed381055a398e",
    "tests/test_parser_engine_runtime_identity.py": "acd03cf5799fc6c6af0e026e4f1d7d5ef25afab0b73f34ae0e177c8fa18ae85d",
    "tests/test_releases.py": "5f7aad6f4c0f7577c9fa9788fffb517c6b2bfe3c0919e2491ea2dab0b8988879",
    "tests/test_sampled_token_history.py": "dd7ea044d044096634e1f73f4422d75055f6a6ffa0c11a4db4d820caa802bca4",
    "tests/test_training.py": "04568621b0ccb275d258762966001eb26795c28eb3068986ae86b05ad51241b6",
    "tests/test_trajectories.py": "a322d10b16c0c11cba912cbea085b74ec64450b69c77aedf6da6a9df0df9beae",
    "tests/test_verifiers_gym.py": "32e648d21898b64729d5dfe83e73487c9a14d73d1599cf2533b72cb46c95138f"
  },
  "source_snapshot_note": "Exact bytes are bound by source_sha256; HEAD is the history reference.",
  "uncommitted_source_paths": [],
  "files_sha256": {
    "README.md": "3219b32708bfc181b4ec6fa098dadb274e5794ebef5218ba15ad6e7887a0280f",
    "assets/brand/OFL-Poppins.txt": "6be04893d770899a015649c7aa3b582f871b272f8747a92b78b17c3e5c8b2573",
    "assets/brand/Poppins-Bold.woff2": "d83ab9cc7335a68b7e86a1aeebf6626ea6027c63d28d898bf66aaaf43d3197a3",
    "assets/brand/Poppins-Light.woff2": "fb1ca56684a87b209f611ce83431f6e79b38fa48191074f3a4dba5962798db06",
    "assets/brand/Poppins-Regular.woff2": "efb99a75559353bdd76adff36eb32002df26da19e4a8e46a240b29f3fb02d39b",
    "assets/brand/Poppins-SemiBold.woff2": "f5bbc8913d08cdcbfe526e3680418a1d4f881298a0fe9caa96242601c0f3f760",
    "assets/brand/favicon-32x32.png": "d432f22b36d8a316c2ba6dbc9462dcb549f8659b70014eb23925650c7e1750fd",
    "assets/brand/hessian-ai-logo.svg": "0f72a98a23b9b4664e955ab293e7ef8f8d6aa9caf8a051725c36e062d6d4aa4e",
    "assets/brand/jaif-logo.png": "7dc0fac57d6aa1688f83a485ec86cefb9a8d2d8db36205fc0e13bc1e8371296d",
    "assets/brand/jaif-provenance.json": "8df8290a4dfe7c763cefe4ce1bb79b13501441bce0e853b7afce1bdfcc4cefd9",
    "assets/brand/provenance.json": "2da7aabd4fe8ceeb206eeb0eb4287436c0bd67d006b01a03244e378df7fecfba",
    "assets/brand/safari-pinned-tab.svg": "edcf2a7e598c9cabc1daea4e11dc908b0b5aa3ee02ce2f4c33374fb15047593b",
    "assets/site.css": "b18e6bca0d7e8124203e594d50784a8dc6f1cff4d59515328827bf46ba8531e0",
    "assets/site.js": "e1766e572164235bc44f8d2b39feee09d28dcbbf34f54ea4d66c6669b18accec",
    "index.html": "aaf1c5b3d1b6460dca428583147556cbdb2356bed16184586bbee32da1b85e7d",
    "pages/README.html": "af29c9df61fce70bb024e61dddbdfd0a1adf9ecdf2022fb5078f4204a5474c57",
    "pages/benchmarks--README.html": "c5892550093db68281d59f6c35348f35bb24696ab57b3f129eed6aeaa25c8e35",
    "pages/docs--README.html": "bcf62af683d7bbd81634810239f65d0677215e6a923f278cea23af81887b1361",
    "pages/docs--agent-gyms.html": "69a7d63d489a4552e42d59dba4048b4b31544e60df07ef7e88ca016e6fb2c4d1",
    "pages/docs--agent-harness.html": "a3511d34a3c0493206167d74ad58dddea215e3c139c5083ba2618df980985985",
    "pages/docs--architecture.html": "eefd8f9147afdc30f71d7b59c218700f43777cc4c7d0991e6fcf9b34021caf34",
    "pages/docs--benchmark-designs.html": "ca04b792e1803f84f3a3de1f0516ffacfae305cd6557a25a5c4b900d679a1525",
    "pages/docs--domains.html": "8180548ea1df53661b98ace57bd06086549295fd4c98cfd9db1d59c6b5f80b50",
    "pages/docs--environment-frameworks.html": "8eaa5ce02b12601fe54efb228f428ae7b5d8cc37cab9acd17af0d9e97ba806f9",
    "pages/docs--evaluation.html": "64c382f8d2e333dd73c1b9043616fa6dbad201edb01b2d22730c9eacb7ad1d6d",
    "pages/docs--jaif-jobs.html": "330b99befe53e2c8f04e5cf4d00354614bf61b2266f42511ed8642e9746041c5",
    "pages/docs--operations.html": "154dc030dd747e21834b24fd557c6e316c947810863aa823062fffed8e658e1b",
    "pages/docs--programme-status.html": "19d38bf3e801ebccc0ad3b22fbe9b14a4febb87ab536e3e943f2ab7b56de82cc",
    "pages/docs--related-work.html": "e73fcbe34d61451106e75b0ff75ae9233016bf22a4e2b582ef2740eb7b35cae5",
    "pages/docs--releases.html": "37d8b55fca965adb83791c84bc4dc40d6f997aed6297047563cf842797f9ac13",
    "pages/docs--roadmap.html": "a25815e0283e4979e29add2b9867bbcdbc9642bdbd7d26b52bfcf5f32ef5d687",
    "pages/docs--training.html": "e9e0b2f165a807dc116e36ca1538a281cc25e108d2fcd37dafc0d8bfa9e9d9e6",
    "pages/docs--use-cases--german-agent-rl-results.html": "39d123efcbb3a965e0f9fbe59d27eee0276c6d25a65eb6f88e202d650282f425",
    "pages/docs--use-cases--german-agent-rl.html": "a26ff172c4b754d2ee21df15b4c4b0747305b7cb16b03c457a32f65603a68de0",
    "pages/docs--use-cases--german-nemo-long-run.html": "ffbfd23be449a372129ede04f5f3265bf75f02866f10fdea5f33ba49631bc888",
    "pages/docs--use-cases--german-openenv-comparison.html": "16b8daa84db0bad5b1449850761980b15c3df327bf051f478767ec0e46aee203",
    "pages/docs--use-cases--german-reasoning-results.html": "10502fe1153d9ab0ac4858102f1d9384228d5be8acec2200d7ed739631f2c8fa",
    "pages/docs--use-cases--german-reasoning.html": "612c3692a811f6c1d63fcab42f5d3c4d1bff29f5c9915408412863be66c32d39",
    "pages/docs--validation.html": "845ead9182f189d6d6b84a956132139cf3f5c36a9c3657fe255004320597463e",
    "pages/examples--german-reasoning--DATA.html": "1f5c8d7f3570970b428929ea136f8b5312a2ad415e1aea509f93b5d0b9df8dac",
    "pages/examples--huggingface--README.html": "cf545f1a25b57fc82d68845b1aad72c15407b3db87781335a7b88877c017480a",
    "pages/examples--huggingface--RUN.html": "0f1e08327fb801d16bbda17ad8d6ccfda73b7d9effe566ba4c199b797b206051",
    "pages/templates--huggingface--dataset-card.html": "daa19f738f8e2d238b0717688e9106d5ad5932b4086a54c02c71b3b035d2dbf4",
    "pages/templates--huggingface--model-card.html": "6e7ec5acf7afb32afe38d7182b54822ba73adba5a5afb3455b5bd2ff81728baf",
    "pages/templates--huggingface--organization.html": "ef8dfe62b990b5945561e9278cc10b01d59a5bcacb130d8867b7ccab7545e601",
    "source-index.html": "bb67d78ae8f38bbedc5d98a134bc75657ded28fdba2b35c9161350d3dfdca01c",
    "sources/.dockerignore": "ce215befbcd6c37b2587aa4122496bb2e3ba1777d393c8265d6678f76e802d29",
    "sources/.gitignore": "efcc3f834c427f8476a42b2c911e01dbcd3a954b1ef5d1a418a37d1a1ba097da",
    "sources/MANIFEST.in": "a08dfe08f0fb4166fd137c5fde86ff678d2521334a9cb340b75403bb6378b5c9",
    "sources/README.md": "1b7c5a52cdd4a235a9c3a921078937dade91f7c02286dbc85bdbe375b68c5dec",
    "sources/benchmarks/README.md": "f50a08220256245535aedd8f228faffbde95899da649252d42c3e1ee234ed8d1",
    "sources/benchmarks/reasoning_reliability/data.jsonl": "fe294af00937e0c757f54c37f8aaf125501d71c98424f58d07f4e77f01e08cf0",
    "sources/benchmarks/reasoning_reliability/predictions-candidate.jsonl": "d1f59e31ebce94f32584ce7d0c0316da1947888a28f01f398300923f443bedde",
    "sources/benchmarks/reasoning_reliability/predictions.jsonl": "cff4fb2f78c64219d58738b19fae80bfd06dc20ac95242f0b9a583c6a2aed6e9",
    "sources/benchmarks/reasoning_reliability/spec-candidate.json": "8ea53e37b7ea3ff18aba6cf5419fbcbc0925fe7f34389c152ff0fff2c880ef66",
    "sources/benchmarks/reasoning_reliability/spec.json": "cae40898441efdb3cdbda3ca7e9950ab138efbc0baca0523ae3767bbeba12bca",
    "sources/benchmarks/tool_workflow_reliability/data.jsonl": "e47196fe3b3ec3d3de48e916035640fa111a990074e242351df42a78f8978749",
    "sources/benchmarks/tool_workflow_reliability/predictions-candidate.jsonl": "1869775da3b2f0d30d0a8b440ae56585f0e07695d55f9dc823ab3a230b33bb7e",
    "sources/benchmarks/tool_workflow_reliability/predictions.jsonl": "d7fb91c114cf2932f6e95ac858b3453afbb72dd0fd0047c91f276fbe970a2acd",
    "sources/benchmarks/tool_workflow_reliability/spec-candidate.json": "a021d237401797bbbe698c5cdb83fe169a476acbfa7d64c8430cd3ceda4dc252",
    "sources/benchmarks/tool_workflow_reliability/spec.json": "8f848fbed28c606338d4fc145c48c4240a549b1836c99f651977e65192d91c69",
    "sources/cluster/determined/german-qwen-agent-rl-shell.yaml": "2a5b70a8558022151c365351962420623c0b4c75fbf2f2ad90495e3ba4f5c40a",
    "sources/cluster/determined/german-qwen-openenv-command.yaml": "dc3433d97428cd5aef7a1767621d6473ec66939ee7872dd2ae7500e6b1aecbf5",
    "sources/cluster/determined/german-qwen-shell.yaml": "e1f65e920e85cddbf60f7834e800e2af30041b325849bc2506d2070962b31e40",
    "sources/cluster/determined/jaif-cpu-command.yaml": "3488245150710e0de98c89a9ef999401367756ed7246e48b5bfa1610c97df389",
    "sources/cluster/determined/jaif-managed-cpu.yaml": "cccb8ff6eea1e1093c0d329fd6663fe49f2525f296c433d62dc27b775499b39d",
    "sources/cluster/determined/jaif-managed-openenv.yaml": "5f9977f06c6c49f15b7ca04626dd20e32e12e93db78488645088e630c994d8ec",
    "sources/cluster/determined/jaif-managed-qualification-openenv.yaml": "58a0908aa88faa23967adcd5d2edc2e9e2f32bf5afd38b9b162d58d0ad5cbdd6",
    "sources/cluster/determined/jaif-managed-qualification.yaml": "84e6226783807db485362f67c7c231bd7023cfd1783a068ece0da22e34ba651f",
    "sources/cluster/determined/jaif-managed-training.yaml": "103e1710ca882b4b53567c98f699cfbaebc4f5cdf7cad9fac03bdf9b57e240c9",
    "sources/cluster/determined/jaif-shell.yaml": "6fc95b0e3bf855da5fab64f1dd27ff345675f0f50a66c0569a9a78e120c3c2c4",
    "sources/containers/Dockerfile": "7b3bea6296d279597849ab2bab867f6e8de19c43b3d37413b1eee8763c1e4fba",
    "sources/docs/README.md": "cf9d532ad58212db63daf24e3780dd299817d26542ab5561f3e942dda5e6364c",
    "sources/docs/agent-gyms-validation.json": "0105267ff56d1144c4d2adf924ea2a92a1b896c453526d73a28bbd8f69200668",
    "sources/docs/agent-gyms.md": "542eb7d7eca2bd4d1eda3ca0c8e690c3130de8c9ca8b42786f0642f2f6fabba4",
    "sources/docs/agent-harness.md": "9002670e73a3d10cba417ae584d689a120a4a4a4ce59d80b014cc877e93bd0b9",
    "sources/docs/architecture.md": "8938c824cf34447b4d4eaff643d952c041dd8f4b96867389f64a75dcee2d5ddd",
    "sources/docs/benchmark-designs.md": "0f44e2fc5cb4e154349c2f7db612de7957212d27e62830ce43250ff74ae3f835",
    "sources/docs/domains.md": "812cdea04e4026f12cec97ebe6293f12a8d507a1e274a335d3c522ae8260223f",
    "sources/docs/environment-frameworks.md": "2e14920be4d9b254d9a8d26900573c4207f166f17ccb87ff5f411da911196a04",
    "sources/docs/evaluation.md": "1d3d0d73b37e26f118ab96204512904436bc3467dde19452a3daae14107bf420",
    "sources/docs/huggingface-publication.json": "0fe253d1ae63f6f43867deafd82aab88d2cb32699798ea0c8fea9cca1e17a7d1",
    "sources/docs/huggingface-ui-validation.json": "dcc59504420c0072b197f89114d74960b581b23f02ab246f646ac1abae6f3e34",
    "sources/docs/jaif-jobs.md": "08d1f4dd3910c924eb9ed3161f538b13f81c1c80cca70a91944eea2518ae1f97",
    "sources/docs/nemo-gym-stress-validation.json": "669b0396256d58a57f622781ff21e01446d41696696e4b18708da8c507e273cf",
    "sources/docs/openenv-validation.json": "d553199eed4d315be03ebf95db61e7a139647de31a5db528bb1907a72979bb87",
    "sources/docs/operations.md": "499506dbd354bf965a60f4988ee0572725f7b25e8780d3cccdfc541d2ed5b775",
    "sources/docs/programme-status.md": "24e66dcd563c5cc8db0e440442c84aebd42256856cae7f03001e6aa34245d364",
    "sources/docs/related-work.md": "afc6829439144d7015f669b08a8c49adc5b785f1022d3df645444bc3abb7a28e",
    "sources/docs/releases.md": "239fb467d3c550539756f4db010e08f79cc1c590fe0e715f94d3391bb7384cb3",
    "sources/docs/roadmap.md": "54d1e232abfab7b8ef056f89f1688229f647753b104313680b7c6c297653a39e",
    "sources/docs/training.md": "b44120ff40e9ac8d37137ac8296fcbd74d5f8f7a10c5ad5fa34f01bbd958243d",
    "sources/docs/use-cases/german-agent-rl-results.json": "0c0614f8e10315703fc54e22b1b3e5b4f99acc4f92a78b51b50c4ab1ba45fa51",
    "sources/docs/use-cases/german-agent-rl-results.md": "3ec97be42c1cd6e9728028f00c861020c9ad652f6cc5eed8ce37fafeb2ab3683",
    "sources/docs/use-cases/german-agent-rl.md": "c40a75f0f74f2fa38487e95567bc9b060a9687276fb3d14d8fef26d8c00968d2",
    "sources/docs/use-cases/german-nemo-long-run.md": "b57367c5784a5b2306d4789554f363dd15403560e66d4ffcb779d3405aa1d8de",
    "sources/docs/use-cases/german-openenv-comparison.md": "8c40be32e8adb13c3c19d14d94402fb136756acf708aa73fcc6540daa02119da",
    "sources/docs/use-cases/german-reasoning-results.json": "9be0e46b31ba3c6f810c63dffa9f9819feffd1266c981b8b59558f29e308c1cf",
    "sources/docs/use-cases/german-reasoning-results.md": "49292523882ff1486584f264197b5ee0904cb47a8492f209ff3cbcca3100dc47",
    "sources/docs/use-cases/german-reasoning.md": "8a48cc0f7443a18cd20955547db81746ad35cd5bba46645fdd35233a7406c870",
    "sources/docs/validation.json": "305c2a13c231d458b99c02b1db3cab90cdb7021c8b734e223247cc38811aae73",
    "sources/docs/validation.md": "764513391ecd4aa0b52643b4ff0ad7925810e13c3b3fff5c363941d617757eab",
    "sources/examples/agent_gyms/nemo_gym_client_smoke.py": "43fe727a055083ec24e998c9826a14917a6541a630c17162031bdcbdca8d8613",
    "sources/examples/agent_gyms/nemo_gym_server.py": "8cc9ad8efc50cea8af2ec7f4fce868e73bf449fc6c820a530281a15bce14dcf5",
    "sources/examples/agent_gyms/nemo_gym_smoke.py": "371b632f05d885409cf7c2f216d8f534c7e18a5e53d1e1ca891bd2376a745097",
    "sources/examples/agent_gyms/nemo_gym_stress.py": "12af94d8d89913370edd6df3f94640fc47249c270b0a12f0d32381ca3fefcd39",
    "sources/examples/agent_gyms/openenv_server.py": "8d909fb7a6f24d5265a127e448712d33f6f3f6147f32704aad0786d71af8e2fc",
    "sources/examples/agent_gyms/openenv_smoke.py": "903a686b773e15714c1173468eb4f0af3e5b119598b17ec2ba88bb678dfd9d38",
    "sources/examples/agent_gyms/verifiers_environment.py": "259c15b3b10d51c5cc63176865df3471e9f0f26f824b7063739f6a18b7fb3fa2",
    "sources/examples/agent_gyms/verifiers_smoke.py": "d59a011e57bf516ebf58bbd5a4834bad1835e0739e90cc774d876641626df199",
    "sources/examples/agent_harness.py": "0c852a82e1c85e3ebc641bf9c79e1572c355212868c4e78d5f7cbf6a0556e4c8",
    "sources/examples/agent_lightning/hessian_lightning_harness.py": "bbdec718f9e1fd777bc88308ac972ea464ad501434dd84a260f7eb39b977db6c",
    "sources/examples/agent_lightning/launch.py": "a05913ebb73ffa52ca77e06814d6be01051746b4cd7bc8e304a44cf896a2ee41",
    "sources/examples/agent_lightning/train.py": "9a74ba25cad340ecd730f86b56e92803358a0d5670f1e95b9efd256d7a845d32",
    "sources/examples/evaluation_cpu_smoke.py": "5cb87036d41041c2d7d13516b7beffeb8b3d916c086e8d64d73631b1547204fd",
    "sources/examples/german-reasoning/DATA.md": "b8636772cc2e874aeae45314d029e22b9952e07e13a17bd5e8822f030d9527ee",
    "sources/examples/german-reasoning/report.py": "d9739c007ed1e5d3d3fe44df070b02c20b2bf7bb15f01520949cef8502092772",
    "sources/examples/huggingface/README.md": "d7ef013c1889cbb2098938d7d2c0bf85916e7fa940eac9f8650f11b7660d795f",
    "sources/examples/huggingface/RUN.md": "cfcf130e2178600d0e1d4914c3fbc1561ede0ba4f31e5f75f9f6219a2daab4b3",
    "sources/examples/huggingface/brand/OFL-Poppins.txt": "6be04893d770899a015649c7aa3b582f871b272f8747a92b78b17c3e5c8b2573",
    "sources/examples/huggingface/brand/Poppins-Bold.woff2": "d83ab9cc7335a68b7e86a1aeebf6626ea6027c63d28d898bf66aaaf43d3197a3",
    "sources/examples/huggingface/brand/Poppins-Light.woff2": "fb1ca56684a87b209f611ce83431f6e79b38fa48191074f3a4dba5962798db06",
    "sources/examples/huggingface/brand/Poppins-Regular.woff2": "efb99a75559353bdd76adff36eb32002df26da19e4a8e46a240b29f3fb02d39b",
    "sources/examples/huggingface/brand/Poppins-SemiBold.woff2": "f5bbc8913d08cdcbfe526e3680418a1d4f881298a0fe9caa96242601c0f3f760",
    "sources/examples/huggingface/brand/favicon-32x32.png": "d432f22b36d8a316c2ba6dbc9462dcb549f8659b70014eb23925650c7e1750fd",
    "sources/examples/huggingface/brand/hessian-ai-logo.svg": "0f72a98a23b9b4664e955ab293e7ef8f8d6aa9caf8a051725c36e062d6d4aa4e",
    "sources/examples/huggingface/brand/jaif-logo.png": "7dc0fac57d6aa1688f83a485ec86cefb9a8d2d8db36205fc0e13bc1e8371296d",
    "sources/examples/huggingface/brand/jaif-provenance.json": "8df8290a4dfe7c763cefe4ce1bb79b13501441bce0e853b7afce1bdfcc4cefd9",
    "sources/examples/huggingface/brand/provenance.json": "2da7aabd4fe8ceeb206eeb0eb4287436c0bd67d006b01a03244e378df7fecfba",
    "sources/examples/huggingface/brand/safari-pinned-tab.svg": "edcf2a7e598c9cabc1daea4e11dc908b0b5aa3ee02ce2f4c33374fb15047593b",
    "sources/examples/training/cpu_smoke.py": "d8cfac90d854a0fb198588255c401b544bb4d0d4eea24cdbc3f5fc97d35d2b6e",
    "sources/examples/training/prompts.jsonl": "feaa18027fd6713e7a7a7ba93bdecd4ef3f322ed965cbb3d44173fd2d2b49d87",
    "sources/examples/training/sft.jsonl": "71a69750bfa00230c9cc03416e422db2432f626743609eefa5b8e7f63ff4e5ed",
    "sources/examples/training/teacher_sequences.jsonl": "f412cb1139ea1bf9cdfad258c4c0272d524dbd4c956a5424be07182378d5900b",
    "sources/pyproject.toml": "c5f465c86f881b3d9d45f2e69ba903de7bb961ca062d638ab7dac96b597a0bd8",
    "sources/recipes/agent-lightning.json": "b89d5b53e8ec0d39134e8850163f338a602ac878d486c33ef7fe6f4f29e3a770",
    "sources/recipes/reasoning-grpo.json": "35b9f59f5a9981b76ffe3449747d795b2755b940062066fd15ad1fd6fde2e052",
    "sources/recipes/reasoning-sft.json": "7dd91ce90b0cd1e4ac260d03ea75d295878b2aa046b18ad601259626397772e3",
    "sources/recipes/teacher-generation.json": "b6d7414510c5ebdb1ce55c076c59d2bc70caf03d7e13dd681a53b2bbb820baee",
    "sources/requirements/german-qwen-agent-rl-cu126.txt": "cfe26c01c8285d0f0143d346ae452106bdd9daff770b16217f5c4d1509d9a9ad",
    "sources/requirements/german-qwen-cu126.txt": "6c370f2af93b47cac4478f83f86a3649ba12be89ca31c50fb4e4e3ae13d575f3",
    "sources/requirements/german-qwen-managed-cu126.txt": "97c133b20462e09b2e60b8747a52044cdff9f598224e8a5fa400ead4e3e5d342",
    "sources/requirements/inspect.txt": "d7273a4b3c03e34c44eec650486479528e4568e1066e1d6313c4263f202889f1",
    "sources/requirements/nemo-gym.txt": "c205cf9633a8941b87d5f79eb2bdd76f435654ccca27de363241034875209bc9",
    "sources/requirements/openenv.txt": "f4cb825a3a7d44ad677f47753e28e316bd38d96c8f89646798ba71ffd7279cdb",
    "sources/requirements/training-cpu.txt": "9b7e7593362b18d27a133815924ba69e5eb0d56be1385f10a74bab606eb050b5",
    "sources/requirements/verifiers.txt": "9a7f6a621e968df076ee4d058a680c13ad9d6e08c0444c6aaacdbc802fb9d194",
    "sources/scripts/gpu-preflight.py": "042027005a51d9605b1eee155c3c8b51d1d04b1cf723e79e03b3e6dcd142e526",
    "sources/scripts/run-german-qwen.sh": "7e296a59a4166f5355f6bc7f2f4018b6c74cb5c63eee707e29b7fb3684c45130",
    "sources/scripts/run-nemo-long-queued.py": "e1d8630fe5376a1f13dfa71aabc9033cebda12c37c93f94439411d8e9b24b92f",
    "sources/scripts/run-openenv-after-nemo.py": "93f227c4d5f7f25367ea1663d98d11affc09dd00309e542f95c0820ddc50fc4a",
    "sources/scripts/slurm-train.sbatch": "714aec680728fe30b8ad68fb7f5595617383c88832edc2462e8fbd2fa9403346",
    "sources/src/hessian_recipes/__init__.py": "789c960cdc4eca10e9b04ed4a66bdcb59f4c7236778ae6ba139277fa8c655ac7",
    "sources/src/hessian_recipes/__main__.py": "935a1c1166b0c1ea35a82256345000bf2c73ded718d77773bc27a71ecce28f7d",
    "sources/src/hessian_recipes/agent_rl_evaluation.py": "82438c4b183fb99a4c68983a60004c986975a372ec1c8ec0d1d61696d4806b52",
    "sources/src/hessian_recipes/agent_rl_pilot.py": "45ea9ca59623d0aab1302e9da274f57f440c7a6b6757e8e46829944356da91a6",
    "sources/src/hessian_recipes/agent_rl_report.py": "cd42fee673a4cbbc004952b08ab0bcc93d6786b171bf2bd0003e1e4a6aafc924",
    "sources/src/hessian_recipes/agent_rl_tasks.py": "b62f23111b55f1c12d48364521b5799e19b6c716514200a79db1b8d553b13bda",
    "sources/src/hessian_recipes/agent_rl_training.py": "356c807a6a05a7218aae4eb929792bd8b03442e8a1684ca7863c53f8ff70b2e1",
    "sources/src/hessian_recipes/budget_lineage.py": "10813a4780b73eaf2d2ed7beda0930e928588425a7042b1f56b729cfe2c60973",
    "sources/src/hessian_recipes/checkpoints.py": "9a3c384b1b5cdbc96986fd4d03a668cf13fd7b5237bceba185f2eb693f11ce8c",
    "sources/src/hessian_recipes/cli.py": "c1408af82d3c5f69625f8c73621c04bda3139ea35e8a3cda4ae930d66f06524e",
    "sources/src/hessian_recipes/distillation.py": "c71707023998274b422a7d416a0c91d14803ee6ef85031f63e3eab163e2b5f5e",
    "sources/src/hessian_recipes/evaluation.py": "b4f5434c4164125a78e8b1745a35a065a91961b9f93a70c21f9ea3bf7ab9797a",
    "sources/src/hessian_recipes/german_data.py": "7823f390e5898fdf991033ed3e00c6582e17a2eb5c825f467a45f0f7418ccb99",
    "sources/src/hessian_recipes/german_pilot.py": "9ea8bf9a589f67f3d23f7434ff9388be1f1d188ea28495605f72d5f98c99027c",
    "sources/src/hessian_recipes/german_report.py": "86c838dd5ce7f9eb6d96374c3e3919924f7b61bc87445c83f39705634308bb61",
    "sources/src/hessian_recipes/gym_client.py": "6371e637cdb80cfad5a56f3670079e8c24abbc9b10631ce3d13a3f228fca5166",
    "sources/src/hessian_recipes/gym_experiment.py": "1b8453d0fb6b3cce5b3009de9156ded6983db2a2fb900124f6f77f5331e6eaf4",
    "sources/src/hessian_recipes/gym_experiment_evaluation.py": "94ae148ede98863a487d7bafc7cb09c3d2ebaf50cd21a1cf91d49d2c1ea9535f",
    "sources/src/hessian_recipes/gym_training.py": "c57964e6c9977c09228d9470de281925b4686761fc55b10a5c5d645e71a354a4",
    "sources/src/hessian_recipes/gym_training_long.py": "98c7d0ded9fd46126821331d1f97e750ca15140d1e2da01ce6bd3371bf9a58e4",
    "sources/src/hessian_recipes/hf_recipe_hub.py": "ae20d01b4fa2f6d5b3117c169c1108bb709421b4fb3bb1a7a084f9454139d24c",
    "sources/src/hessian_recipes/hub_content.py": "816a664eb21589b426a8fa5080ba665c3e1a0d2071b78b1dd53916703d7abaca",
    "sources/src/hessian_recipes/hub_deploy.py": "c30058270a97f2a7c662a57be45c2210ae87832ce74ed16d46e284f507b3979b",
    "sources/src/hessian_recipes/hub_theme.py": "b206fb1b09c3570eb0fdaa9e86109211d9721de4216f3f697b5d235dc46c8307",
    "sources/src/hessian_recipes/inspect_tasks.py": "ac13e9e91474c80e7d6fae5e7b8bbf32b2f85c7ae63140daea4a02d0b21d930b",
    "sources/src/hessian_recipes/managed_training.py": "ee027a38888c032cc20b7deab1bc63a3b69b3f6a89f3e7b535dda9897cba7a71",
    "sources/src/hessian_recipes/managed_trial.py": "3ac4c9e0bd9fecbffba926f824447fe959e1a68e96f3e6fdf0e56b4a422c759b",
    "sources/src/hessian_recipes/openenv_client.py": "68e96371b524a95a8a16404739e802f245183fb02c4507192a4df3b11d381bf0",
    "sources/src/hessian_recipes/openenv_experiment.py": "948ca23681b43fb1d0c8549a36ec4fdf3a35d39f7c934f3a7df7a933730a01d1",
    "sources/src/hessian_recipes/openenv_training.py": "2ca82c14ad15209974fdd961d37c92c289b58e79bef64c2f78c6ea8f19d107b4",
    "sources/src/hessian_recipes/releases.py": "2a402248e9a092614bf38e022002d661c6adc89c07c092c884a7efa8d0c43d5d",
    "sources/src/hessian_recipes/training.py": "529b40d87092ce91103fc58197ee29b8381bf449334d83a6dd04e4d2cf6b6148",
    "sources/src/hessian_recipes/trajectories.py": "58444e77707284835840f3766f3faa1034d6a8e1dc08705b288690e7e9b6892f",
    "sources/templates/huggingface/dataset-card.md": "683c5cd3e0807bf8147c9b9ba6f041a32d973f486420595a7b672b428605b2c8",
    "sources/templates/huggingface/model-card.md": "dafdc91d02ea544b2055d8445b81d97754d09b679255cebe7a94214c771004d3",
    "sources/templates/huggingface/organization.md": "334b7acaceb7b96d21fe7cfb26681759fdcf045fbf1816eba9010cb61b39cd58",
    "sources/tests/test_agent_lightning.py": "a06e17b7d90a9efbeeb834e933b8fc8287ca9ce31a95d3dd5cc88d833285374e",
    "sources/tests/test_agent_rl_evaluation.py": "a28f505b5225b9a88ff1e277a40ba67d5eb041f61a5b7fd1f97fddfb38035616",
    "sources/tests/test_agent_rl_pilot.py": "38097cb84789b04928faa4a8ca476b7965da64403e1c09eae076b838458cb7d2",
    "sources/tests/test_agent_rl_report.py": "e55d55b8a181bb96b21e2f1ec59165c36036312cb03c3f1a4b4bc489749ffe34",
    "sources/tests/test_agent_rl_tasks.py": "9f0a8f8ece423c3444f248b8803991dc4d6b73444fdfaf7e1ad56333772caefd",
    "sources/tests/test_agent_rl_training.py": "59999cc688ec2d4db1b86763b25632b6b5f8930fd619e37d9e7c7757d9dac214",
    "sources/tests/test_bounded_qwen_parser.py": "38680962d4065c918b8cb408200432ed0d0163a011b69aefda80b69d88171470",
    "sources/tests/test_budget_lineage.py": "749349a2404e074d4d45edf27a46529a3d7ad9664b1f567b6b5e0d1c9106b955",
    "sources/tests/test_checkpoints.py": "1f570bca003e363de79b7757b3edae2844f926223802f50e038c25ed95b26153",
    "sources/tests/test_cli.py": "32e1fcd895f1f4c0fe2810a78c36800ac0a713509ce1704680a3354b53979651",
    "sources/tests/test_distillation.py": "f528c90950d14815e33b567854f84133edb2c915eee32d71134881a7e22e21c1",
    "sources/tests/test_evaluation.py": "90eb4301e2e306a7c348e52a65ffa4df8c710040cbd20f509276181af5e62f0b",
    "sources/tests/test_german_data.py": "66edec18107652604c8d6d598bb166af343bfb6fcf1360808690f7414776cb17",
    "sources/tests/test_german_pilot.py": "4d8a7636866edac562df6823e9f14bc0c92b9f570187b8bbf705cbc169d2aff0",
    "sources/tests/test_german_report.py": "8e796b5c9503af5d49b7ad560def592e6a01ba6d29a381f187e88865a2ad84ce",
    "sources/tests/test_gym_client.py": "53eb519f2fe61eb080d26393337b4a8e8d0dd3bb3504162ec80960c2caafd467",
    "sources/tests/test_gym_experiment.py": "6eed744b7f8bff8ea1fed64a5a40920ec4a3cf85682cab5e2ee65475c11fe178",
    "sources/tests/test_gym_experiment_evaluation.py": "2a8039866fb6a0d3428f208427d7656c39c63d1aabdacdba358ef94e2ec46380",
    "sources/tests/test_gym_recipe_stress.py": "e334b765dd726a176f0cf000452ef2a14977b335165a6912a8570dfe11fb5c89",
    "sources/tests/test_gym_training.py": "1bb0f29f4cee5d19c1ce0bc75814f8d10faca22f47b7ec47340d2bf04dfbdf9d",
    "sources/tests/test_gym_training_long.py": "d7fb7e9899bc27b7c45df4492830a00d542c20d9ef0993af02cb04f933ac43e9",
    "sources/tests/test_hf_recipe_hub.py": "b014709e3668ec220b4ec5784af211c5450d40fde50b1cc9b30e831f2b3fa475",
    "sources/tests/test_hub_deploy.py": "31b8f2d5768ea6e49da3316495c9ba4235d8199b89b9aad19a7cbdfe7ac303f0",
    "sources/tests/test_inspect_tasks.py": "5f136a1fcb5c771f01fb805d376ae209daa7e46af294a4f2594904d80c695da3",
    "sources/tests/test_managed_engine_hooks.py": "6ff393aa44c9e85d9398c3882c41b952a7ef4abee19d1567675c984f974f7c4e",
    "sources/tests/test_managed_training.py": "81bc4e7da33d5d68c7ea742e709f8d9d47c205130708fab55f1281775f765f9a",
    "sources/tests/test_managed_trial.py": "2d34f327c3c13e86c5676abcd246986b8796ab7aadf814a4fbf1e3dfbeb0a2e0",
    "sources/tests/test_nemo_queue_launcher.py": "36d753e48b1d00f5ace40c447b3f65c322c5234de6baaa5689afc2d80bf772b6",
    "sources/tests/test_openenv_client.py": "b1aae78c54a35aa1454ec01988d3108cc3c0961086385228acde5ea538334721",
    "sources/tests/test_openenv_experiment.py": "5446b7dc43530f0e08794088140500a6082ae21a1b29bdc5fae910104193d1cf",
    "sources/tests/test_openenv_queue.py": "d6052b0ad7aa5022a7a06bf1c93adcc422ef299946c04db46ccd17e7581c25e7",
    "sources/tests/test_openenv_server.py": "2d2bdbf8993fbe67c0e104d04e4782bb58cbdba6fc28033fa9b4925523f89bb5",
    "sources/tests/test_openenv_training.py": "0c1a0b1e38f750b248b41a08b158dd05f0bcf8718b8c1258835ed381055a398e",
    "sources/tests/test_parser_engine_runtime_identity.py": "acd03cf5799fc6c6af0e026e4f1d7d5ef25afab0b73f34ae0e177c8fa18ae85d",
    "sources/tests/test_releases.py": "5f7aad6f4c0f7577c9fa9788fffb517c6b2bfe3c0919e2491ea2dab0b8988879",
    "sources/tests/test_sampled_token_history.py": "dd7ea044d044096634e1f73f4422d75055f6a6ffa0c11a4db4d820caa802bca4",
    "sources/tests/test_training.py": "04568621b0ccb275d258762966001eb26795c28eb3068986ae86b05ad51241b6",
    "sources/tests/test_trajectories.py": "a322d10b16c0c11cba912cbea085b74ec64450b69c77aedf6da6a9df0df9beae",
    "sources/tests/test_verifiers_gym.py": "32e648d21898b64729d5dfe83e73487c9a14d73d1599cf2533b72cb46c95138f"
  },
  "recipe_count": 11,
  "page_count": 32,
  "source_file_count": 181,
  "source_bytes": 2307222,
  "long_experiment_status": "No new long-run outcomes included in this source snapshot.",
  "contains_weights_or_raw_runs": false,
  "included_data": "Only small git-tracked authored development fixtures; no downloaded training/evaluation data.",
  "link_validation": {
    "html_documents": 32,
    "local_links_checked": 1853,
    "broken_local_links": 0
  }
}
