{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/is-package-available","entry":"is_package_available","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":7,"n_papers_ran":4,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":4,"n_samples_ran":2,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":2,"unverified":2},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2606.30821","paper":"/paper/arxiv-2606-30821","title":"Mind the Residual Gap: Probabilistic Downscaling under Real-World Bias","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"NVIDIA/physicsnemo","path":"physicsnemo/core/version_check.py","file_url":"https://github.com/NVIDIA/physicsnemo/blob/HEAD/physicsnemo/core/version_check.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"56856245bca5162a","mcp_get_code":{"code_sha256":"56856245bca5162a"}},{"arxiv_id":"2602.01649","paper":"/paper/arxiv-2602-01649","title":"Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning","date":null,"month_inferred_from_arxiv_id":"2026-02","title_source":"syntology","repo":"EvolvingLMMs-Lab/lmms-eval","path":"lmms_eval/imports.py","file_url":"https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/HEAD/lmms_eval/imports.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"4baf9c8d86f47526","mcp_get_code":{"code_sha256":"4baf9c8d86f47526"}},{"arxiv_id":"2404.15159","paper":"/paper/mixlora-enhancing-large-language-models-fine","title":"MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts","date":"2024-04-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"TUDB-Labs/MixLoRA","path":"mixlora/utils.py","file_url":"https://github.com/TUDB-Labs/MixLoRA/blob/HEAD/mixlora/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"45a78242fc74dcd9","mcp_get_code":{"code_sha256":"45a78242fc74dcd9"}},{"arxiv_id":"2404.11753","paper":"/paper/virtual-foundry-graphnet-for-metal-sintering","title":"Virtual Foundry Graphnet for Metal Sintering Deformation Prediction","date":"2024-04-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"NVIDIA/modulus","path":"physicsnemo/core/version_check.py","file_url":"https://github.com/NVIDIA/modulus/blob/HEAD/physicsnemo/core/version_check.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"56856245bca5162a","mcp_get_code":{"code_sha256":"56856245bca5162a"}},{"arxiv_id":"2404.05768","paper":"/paper/streamlining-ocean-dynamics-modeling-with","title":"Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach","date":"2024-04-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"nvidia/modulus","path":"physicsnemo/core/version_check.py","file_url":"https://github.com/nvidia/modulus/blob/HEAD/physicsnemo/core/version_check.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"56856245bca5162a","mcp_get_code":{"code_sha256":"56856245bca5162a"}},{"arxiv_id":"2403.13786","paper":"/paper/chain-of-interaction-enhancing-large-language","title":"Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts","date":"2024-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"trust-nlp/coi-psychotherapy","path":"src/llmtuner/extras/packages.py","file_url":"https://github.com/trust-nlp/coi-psychotherapy/blob/HEAD/src/llmtuner/extras/packages.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"2e71330e34fbbfd7","mcp_get_code":{"code_sha256":"2e71330e34fbbfd7"}},{"arxiv_id":"2303.18223","paper":"/paper/a-survey-of-large-language-models","title":"A Survey of Large Language Models","date":"2023-03-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xusenlinzy/api-for-open-llm","path":"api/adapter/patcher.py","file_url":"https://github.com/xusenlinzy/api-for-open-llm/blob/HEAD/api/adapter/patcher.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"2e71330e34fbbfd7","mcp_get_code":{"code_sha256":"2e71330e34fbbfd7"}}]}