{"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/log-transform","entry":"log_transform","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":6,"n_papers_ran":2,"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":5,"n_samples_ran":2,"n_samples_fingerprinted":2,"n_places":6,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"ran":1,"unverified":3},"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":"2608.10045","paper":"/paper/arxiv-2608-10045","title":"Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons","date":null,"month_inferred_from_arxiv_id":"2026-08","title_source":"syntology","repo":"lucasmaystre/choix","path":"choix/utils.py","file_url":"https://github.com/lucasmaystre/choix/blob/HEAD/choix/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"377421ed6ea117a3","mcp_get_code":{"code_sha256":"377421ed6ea117a3"}},{"arxiv_id":"2410.18959","paper":"/paper/context-is-key-a-benchmark-for-forecasting","title":"Context is Key: A Benchmark for Forecasting with Essential Textual Information","date":"2024-10-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ServiceNow/context-is-key-forecasting","path":"cik_benchmark/memorization_mitigation.py","file_url":"https://github.com/ServiceNow/context-is-key-forecasting/blob/HEAD/cik_benchmark/memorization_mitigation.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":"2b233630527d15be","mcp_get_code":{"code_sha256":"2b233630527d15be"}},{"arxiv_id":"2410.11247","paper":"/paper/a-unified-framework-for-forward-and-inverse","title":"A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations","date":"2024-10-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"kgml-lab/generalized-forward-inverse-framework-for-dl4si","path":"evaluate/evaluate_zero_shot_forward_models.py","file_url":"https://github.com/kgml-lab/generalized-forward-inverse-framework-for-dl4si/blob/HEAD/evaluate/evaluate_zero_shot_forward_models.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"813f3d46555f9c6e","mcp_get_code":{"code_sha256":"813f3d46555f9c6e"}},{"arxiv_id":"2301.13510","paper":"/paper/monocular-scene-reconstruction-with-3d-sdf","title":"3D Former: Monocular Scene Reconstruction with 3D SDF Transformers","date":"2023-01-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"alibaba-damo-academy/former3d","path":"former3d/utils.py","file_url":"https://github.com/alibaba-damo-academy/former3d/blob/HEAD/former3d/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":false,"code_sha256_prefix":"067cd91ea5bf39ff","mcp_get_code":{"code_sha256":"067cd91ea5bf39ff"}},{"arxiv_id":"2112.00236","paper":"/paper/vortx-volumetric-3d-reconstruction-with","title":"VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion","date":"2021-12-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"noahstier/vortx","path":"vortx/utils.py","file_url":"https://github.com/noahstier/vortx/blob/HEAD/vortx/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"067cd91ea5bf39ff","mcp_get_code":{"code_sha256":"067cd91ea5bf39ff"}},{"arxiv_id":"2003.10432","paper":"/paper/atlas-end-to-end-3d-scene-reconstruction-from","title":"Atlas: End-to-End 3D Scene Reconstruction from Posed Images","date":"2020-03-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"magicleap/Atlas","path":"atlas/heads3d.py","file_url":"https://github.com/magicleap/Atlas/blob/HEAD/atlas/heads3d.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":"cc965a768c8eb8cb","mcp_get_code":{"code_sha256":"cc965a768c8eb8cb"}}]}