{"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-boundary","entry":"get_boundary","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":3,"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":0,"n_places":6,"n_places_pointer_only":3,"by_status":{"ran_honours":1,"ran_violates":0,"ran_draft_wrong":0,"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":"2506.08997","paper":"/paper/sdtagnet-leveraging-text-annotated-navigation","title":"SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction","date":"2025-06-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"immel-f/sdtagnet","path":"tools/sdtagnet/custom_av2_map_converter.py","file_url":"https://github.com/immel-f/sdtagnet/blob/HEAD/tools/sdtagnet/custom_av2_map_converter.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":"21eea016ec73c758","mcp_get_code":{"code_sha256":"21eea016ec73c758"}},{"arxiv_id":"2411.10316","paper":"/paper/m3tr-generalist-hd-map-construction-with","title":"M3TR: A Generalist Model for Real-World HD Map Completion","date":"2024-11-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"code_sha256_prefix":"21eea016ec73c758","mcp_get_code":{"code_sha256":"21eea016ec73c758"}},{"arxiv_id":"2107.10064","paper":"/paper/few-shots-is-all-you-need-a-progressive-few","title":"Few Shots Are All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwritten Text Recognition","date":"2021-07-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dali92002/htrbymatching","path":"generate_data.py","file_url":"https://github.com/dali92002/htrbymatching/blob/HEAD/generate_data.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e1b2b778016dbd2b","mcp_get_code":{"code_sha256":"e1b2b778016dbd2b"}},{"arxiv_id":"2106.10031","paper":"/paper/learning-and-meshing-from-deep-implicit","title":"Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching","date":"2021-06-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Karbo123/AnalyticMesh","path":"backend/utils.py","file_url":"https://github.com/Karbo123/AnalyticMesh/blob/HEAD/backend/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"91a6e2cf69cf86d7","mcp_get_code":{"code_sha256":"91a6e2cf69cf86d7"}},{"arxiv_id":"2103.16562","paper":"/paper/boundary-iou-improving-object-centric-image","title":"Boundary IoU: Improving Object-Centric Image Segmentation Evaluation","date":"2021-03-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mfp0610/semantic-segmentaion","path":"evaluation.py","file_url":"https://github.com/mfp0610/semantic-segmentaion/blob/HEAD/evaluation.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"515b9d599c1b543d","mcp_get_code":{"code_sha256":"515b9d599c1b543d"}},{"arxiv_id":"1909.00321","paper":"/paper/deep-mesh-reconstruction-from-single-rgb","title":"Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks","date":"2019-09-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jnypan/TMNet","path":"auxiliary/utils.py","file_url":"https://github.com/jnypan/TMNet/blob/HEAD/auxiliary/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"9d5264bafe7d0d6d","mcp_get_code":{"code_sha256":"9d5264bafe7d0d6d"}}]}