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repro-provably-data-driven-lagrangian-relaxation-for-mixed-integer-linear-programming

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code
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outputs
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packaged_replay
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pages
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source
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.gitattributes

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BUNDLE_SHA256SUMS.txt

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EVIDENCE_MATRIX.json

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README.md

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SOURCE_PIN.txt

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bucket-icon.svg

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build_manifest.py

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claims.json

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index.html

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logbook.css

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logbook.js

77.3 kB
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logbook.json

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official_claims.json

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outputs_ufm_results.json

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Claim 5: train the deep linear UFM and compute the exact Hessian spectrum (was source-reported); outlier count equals K^2 at K=2,3,4 across depths 2-3 3 months ago
paper_v1.txt

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paper_v3.txt

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poster_embed.html

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reproduce.py

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requirements.txt

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trackio-logo-light.png

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xet

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trackio-logo.png

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trackio-wordmark-dark.png

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validate_evidence.py

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