{"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/get-num-lines","entry":"get_num_lines","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":10,"n_papers_ran":10,"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":3,"n_samples_ran":3,"n_samples_fingerprinted":0,"n_places":10,"n_places_pointer_only":6,"by_status":{"ran_honours":2,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":0},"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":"2404.03635","paper":"/paper/wordepth-variational-language-prior-for","title":"WorDepth: Variational Language Prior for Monocular Depth Estimation","date":"2024-04-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"adonis-galaxy/wordepth","path":"src/utils.py","file_url":"https://github.com/adonis-galaxy/wordepth/blob/HEAD/src/utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"050c56fb7282eb88","mcp_get_code":{"code_sha256":"050c56fb7282eb88"}},{"arxiv_id":"2311.07166","paper":"/paper/nddepth-normal-distance-assisted-monocular-1","title":"NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion","date":"2023-11-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ShuweiShao/NDDepth","path":"Estimation/nddepth/utils.py","file_url":"https://github.com/ShuweiShao/NDDepth/blob/HEAD/Estimation/nddepth/utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"050c56fb7282eb88","mcp_get_code":{"code_sha256":"050c56fb7282eb88"}},{"arxiv_id":"2310.15171","paper":"/paper/robodepth-robust-out-of-distribution-depth-1","title":"RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions","date":"2023-10-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cleinc/bts","path":"pytorch/bts_eval.py","file_url":"https://github.com/cleinc/bts/blob/HEAD/pytorch/bts_eval.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"code_sha256_prefix":"050c56fb7282eb88","mcp_get_code":{"code_sha256":"050c56fb7282eb88"}},{"arxiv_id":"2309.14137","paper":"/paper/iebins-iterative-elastic-bins-for-monocular-1","title":"IEBins: Iterative Elastic Bins for Monocular Depth Estimation","date":"2023-09-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ShuweiShao/IEBins","path":"iebins/utils.py","file_url":"https://github.com/ShuweiShao/IEBins/blob/HEAD/iebins/utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"050c56fb7282eb88","mcp_get_code":{"code_sha256":"050c56fb7282eb88"}},{"arxiv_id":"2307.14878","paper":"/paper/mesed-a-multi-modal-entity-set-expansion","title":"MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities","date":"2023-07-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"thukelab/mesed","path":"utils.py","file_url":"https://github.com/thukelab/mesed/blob/HEAD/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"3690cb61cec179c0","mcp_get_code":{"code_sha256":"3690cb61cec179c0"}},{"arxiv_id":"2302.08149","paper":"/paper/urcdc-depth-uncertainty-rectified-cross","title":"URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation","date":"2023-02-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shuweishao/urcdc-depth","path":"urcdc/utils.py","file_url":"https://github.com/shuweishao/urcdc-depth/blob/HEAD/urcdc/utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"050c56fb7282eb88","mcp_get_code":{"code_sha256":"050c56fb7282eb88"}},{"arxiv_id":"2210.09071","paper":"/paper/attention-attention-everywhere-monocular","title":"Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention","date":"2022-10-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ashutosh1807/pixelformer","path":"pixelformer/utils.py","file_url":"https://github.com/ashutosh1807/pixelformer/blob/HEAD/pixelformer/utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":false,"code_sha256_prefix":"050c56fb7282eb88","mcp_get_code":{"code_sha256":"050c56fb7282eb88"}},{"arxiv_id":"2203.01502","paper":"/paper/new-crfs-neural-window-fully-connected-crfs-1","title":"NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation","date":"2022-03-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"aliyun/NeWCRFs","path":"newcrfs/utils.py","file_url":"https://github.com/aliyun/NeWCRFs/blob/HEAD/newcrfs/utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":false,"code_sha256_prefix":"050c56fb7282eb88","mcp_get_code":{"code_sha256":"050c56fb7282eb88"}},{"arxiv_id":"1908.09716","paper":"/paper/uniblock-scoring-and-filtering-corpus-with","title":"uniblock: Scoring and Filtering Corpus with Unicode Block Information","date":"2019-08-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ringoreality/uniblock","path":"uniblock/uniblock.py","file_url":"https://github.com/ringoreality/uniblock/blob/HEAD/uniblock/uniblock.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2265f41ad4ea9315","mcp_get_code":{"code_sha256":"2265f41ad4ea9315"}},{"arxiv_id":"1907.10326","paper":"/paper/from-big-to-small-multi-scale-local-planar","title":"From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation","date":"2019-07-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"northeastsquare/bts","path":"bts_test.py","file_url":"https://github.com/northeastsquare/bts/blob/HEAD/bts_test.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"code_sha256_prefix":"050c56fb7282eb88","mcp_get_code":{"code_sha256":"050c56fb7282eb88"}}]}