36 lines
3.0 KiB
Plaintext
36 lines
3.0 KiB
Plaintext
7d1e0ddfdb4426ffb927d1dd39ad1cbeda1f01d6de737eb72432676d022f4f08 .gitignore
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8fce6bfb274756dc0c26bf8d04a351375207af97edf5d17a99858d5fc953235b README.md
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c3ae05270d76ec205da3bb7bece26663a612f2e608836af25eee96c66270eeaf configs/ablations.csv
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8346e5ca6fae19e5dfb441e5a35fb3da3a99a034f03c465dc5f0714ef9a0cce2 data/README.md
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3009fbc801c20c5a2d9b4f5b8a80cb65888b8b969b501d47cf8f18ea0d2a4f66 docs/README.md
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19ec2160d5dc910147671c3ce678cd89fa60d8382b16cb1c5cb830fbc58ddc0b docs/experiment_plan.md
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51897c6ba5a98e2790eec4b9d440aa64644064c42501bd14d01efbc32e3fc550 docs/literature_review.md
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f071ca15394dea34339784af23cece8acdc4320a2773d5b9969632bf997c93b7 docs/manuscript_outline.md
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6cece4721ad443ddb35e2c9ab24ff2cd3a5607e3bc06101e299c0aef3cc15f5b docs/mathematical_analysis.md
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a0eb226ec5aedc768f3e827a112d4a09b9491af0c9a73ed431e9257414f1709e docs/novelty_matrix.md
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c5c803a06c5f0e8b9e220cf5e4dd79e018d881c006420ab6d03806d5b8c9901e docs/research_decision.md
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fdef315212cacc1b77cc940ff3fadd137c3648d84bb76795472eeb7f4218d587 docs/research_log.md
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7641c6789c27309cf8ef00eacd417e01bf7a1683a5c7bdbaeb6b290896088aa2 evidence/papers.json
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bf1ce5f0924d4c5e93455cc4a5bb7c39b6730aa629cf339182f960011f58a80d evidence/upstream_audit.md
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d909687f70245e3fc3c9811271359f9ab827057ae3a7a6245f6d26ead7ef4d56 irstd/__init__.py
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4775281f0e897fa22dd6b1697f8d6673e63aa6e3746ff5e058ae93d2860ca140 irstd/core.py
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6c6fd77673d18f97271e9b2d6b3548ba1c477ba67ddbc53d80d507e7ae4e0879 irstd/data.py
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ea405b291820d076b09285d3940eb20bc3348ca64eeff5b89dfa76f81cb5f1a8 irstd/models.py
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48c8ebe01079642883c2b64ff1bc05771192b419ea3caec73db91aede4776322 pyproject.toml
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f793676a40e71a12c2d9066d4f2e342bf5d920a971a725519c00ed500c4231ed requirements-core.txt
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aea3df914eb73b204f3461b373e0b33cab0e2d58d31200b7f40c29a6614e1e02 requirements-training.txt
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3522b07838f6b3327e5f2253f251113139fd2608cb741554a98361a386f7ea9a results/README.md
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9728844a980ca8598b75c3f347a08d51a1c8996ba855876f6b53a879e57cbf2a results/environment.json
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7d6f7bd3315bb0498c2801551bd64272deea801a49c88444431de13c713b4837 results/math_checks.json
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0348ac8f5b1daa5915ac86771242ec540146ab89cfc771216f5e7bcb90b510f3 results/unit_tests.txt
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08f8a6b3c180aa8ad5778b05fa1708f328c8c24ff40888fdd70ac397f16ddd96 scripts/audit_data.py
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8302aa0cf43cc221f513384187b10bcddfaa8ba8d67d3e9ad1f7cdc3aef79267 scripts/benchmark.py
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3bf43e8595702b3c0b5f31912cd8db9752a1bccb9c58d4a814460a7d73eb8364 scripts/check_math.py
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f0aeff4d7cf7ba9c8d5fc11d3887b46e3d013b428a0363ea31e0b76f9281f219 scripts/evaluate.py
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44198107c3843b3c58ac12a744060cd4284299e920c33945e8f4d60a7c2619e7 scripts/predict.py
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7f8ec19c8e0f502b0e4bab4670f5e94ead9fe46b7b34cba3d7250c5eadb347d4 scripts/train.py
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934ef3746f5768c67aceb81ff69e8ba15ff78f38726b28117c5487c2f6dc6951 scripts/train_gate.py
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51e77d35a9baff1ec4f12dcf45f113725db9e3e479e5abd22c695546269fcb1b tests/test_core.py
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1b4858d3e6ff6fac6e59dfc0772abbec98ff7b8c48a24807471687b64d6593d9 tests/test_pipeline.py
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be0b12fa539f73d4576f664a82400fe320665ed3be872660c03618dcc99a2d5a tests/test_torch.py
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