{"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-ax","entry":"get_ax","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":5,"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":6,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":8,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":5},"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":"2605.20735","paper":"/paper/arxiv-2605-20735","title":"Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition","date":null,"month_inferred_from_arxiv_id":"2026-05","title_source":"syntology","repo":"CVRL/PBM","path":"pipeline_from_file.py","file_url":"https://github.com/CVRL/PBM/blob/HEAD/pipeline_from_file.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-2-Clause","inline_ok":true,"code_sha256_prefix":"e0532d01052a38df","mcp_get_code":{"code_sha256":"e0532d01052a38df"}},{"arxiv_id":"2212.10305","paper":"/paper/which-pixel-to-annotate-a-label-efficient","title":"Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework","date":"2022-12-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lhaof/nuseg","path":"pseudo_label/pseudo_label.py","file_url":"https://github.com/lhaof/nuseg/blob/HEAD/pseudo_label/pseudo_label.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e0532d01052a38df","mcp_get_code":{"code_sha256":"e0532d01052a38df"}},{"arxiv_id":"2104.06403","paper":"/paper/lite-hrnet-a-lightweight-high-resolution","title":"Lite-HRNet: A Lightweight High-Resolution Network","date":"2021-04-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xiuyu0000/papers_with_examples","path":"maskrcnn/src/infer.py","file_url":"https://github.com/xiuyu0000/papers_with_examples/blob/HEAD/maskrcnn/src/infer.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":"46bf80043a90eddf","mcp_get_code":{"code_sha256":"46bf80043a90eddf"}},{"arxiv_id":"2002.09576","paper":"/paper/unmask-adversarial-detection-and-defense","title":"UnMask: Adversarial Detection and Defense Through Robust Feature Alignment","date":"2020-02-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"safreita1/unmask","path":"extract_features.py","file_url":"https://github.com/safreita1/unmask/blob/HEAD/extract_features.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"217810b770db68cd","mcp_get_code":{"code_sha256":"217810b770db68cd"}},{"arxiv_id":"1703.06870","paper":"/paper/mask-r-cnn","title":"Mask R-CNN","date":"2017-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"itsasimiqbal/SeBRe","path":"visualize.py","file_url":"https://github.com/itsasimiqbal/SeBRe/blob/HEAD/visualize.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e0532d01052a38df","mcp_get_code":{"code_sha256":"e0532d01052a38df"}},{"arxiv_id":"1703.06870","paper":"/paper/mask-r-cnn","title":"Mask R-CNN","date":"2017-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"RituYadav92/Radar-RGB-Attentive-Multimodal-Object-Detection","path":"Radar_RGB_Camera_Object_Detection/coco/nucoco.py","file_url":"https://github.com/RituYadav92/Radar-RGB-Attentive-Multimodal-Object-Detection/blob/HEAD/Radar_RGB_Camera_Object_Detection/coco/nucoco.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"41b8f24cef813f2d","mcp_get_code":{"code_sha256":"41b8f24cef813f2d"}},{"arxiv_id":"1703.06870","paper":"/paper/mask-r-cnn","title":"Mask R-CNN","date":"2017-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hellohaozheng/maskrcnn-mindspore","path":"infer.py","file_url":"https://github.com/hellohaozheng/maskrcnn-mindspore/blob/HEAD/infer.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":"9bac464cd3083481","mcp_get_code":{"code_sha256":"9bac464cd3083481"}},{"arxiv_id":"1703.06870","paper":"/paper/mask-r-cnn","title":"Mask R-CNN","date":"2017-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jremillard/images-to-osm","path":"train_shapes.py","file_url":"https://github.com/jremillard/images-to-osm/blob/HEAD/train_shapes.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8cfb49cfabce52c6","mcp_get_code":{"code_sha256":"8cfb49cfabce52c6"}}]}