{"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-points","entry":"get_points","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":9,"n_papers_ran":8,"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":8,"n_samples_ran":7,"n_samples_fingerprinted":2,"n_places":9,"n_places_pointer_only":2,"by_status":{"ran_honours":2,"ran_violates":1,"ran_draft_wrong":1,"ran_fixture":0,"ran":3,"unverified":1},"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":"2405.14860","paper":"/paper/not-all-language-model-features-are-linear","title":"Not All Language Model Features Are Linear","date":"2024-05-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"joshengels/multidimensionalfeatures","path":"intervention/intervene_in_middle_of_circle.py","file_url":"https://github.com/joshengels/multidimensionalfeatures/blob/HEAD/intervention/intervene_in_middle_of_circle.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"dc43373d010228a4","mcp_get_code":{"code_sha256":"dc43373d010228a4"}},{"arxiv_id":"2402.01434","paper":"/paper/conditioning-non-linear-and-infinite","title":"Conditioning non-linear and infinite-dimensional diffusion processes","date":"2024-02-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"libbylbaker/infsdebridge","path":"sdebridge/data_processing.py","file_url":"https://github.com/libbylbaker/infsdebridge/blob/HEAD/sdebridge/data_processing.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"44e7cea7f38739b2","mcp_get_code":{"code_sha256":"44e7cea7f38739b2"}},{"arxiv_id":"2308.09098","paper":"/paper/imgeonet-image-induced-geometry-aware-voxel","title":"ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection","date":"2023-08-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ttaoREtw/ImGeoNet","path":"mmdetection3d/mmdet3d/models/detectors/imgeonet.py","file_url":"https://github.com/ttaoREtw/ImGeoNet/blob/HEAD/mmdetection3d/mmdet3d/models/detectors/imgeonet.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b4ba32634504fe10","mcp_get_code":{"code_sha256":"b4ba32634504fe10"}},{"arxiv_id":"2308.07732","paper":"/paper/unitr-a-unified-and-efficient-multi-modal","title":"UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation","date":"2023-08-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"haiyang-w/unitr","path":"pcdet/models/model_utils/unitr_utils.py","file_url":"https://github.com/haiyang-w/unitr/blob/HEAD/pcdet/models/model_utils/unitr_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":"9350ff1cc4c3a89f","mcp_get_code":{"code_sha256":"9350ff1cc4c3a89f"}},{"arxiv_id":"2305.05797","paper":"/paper/fully-bayesian-vib-deepssm","title":"Fully Bayesian VIB-DeepSSM","date":"2023-05-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jadie1/bvib-deepssm","path":"SS_loaders.py","file_url":"https://github.com/jadie1/bvib-deepssm/blob/HEAD/SS_loaders.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":"1e8865ed7791d658","mcp_get_code":{"code_sha256":"1e8865ed7791d658"}},{"arxiv_id":"2303.05101","paper":"/paper/scalable-stochastic-gradient-riemannian","title":"Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics","date":"2023-03-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ksnxr/ssgrldndm","path":"geodesics/sampling.py","file_url":"https://github.com/ksnxr/ssgrldndm/blob/HEAD/geodesics/sampling.py","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"45d7a56b417b8c0a","mcp_get_code":{"code_sha256":"45d7a56b417b8c0a"}},{"arxiv_id":"2106.01178","paper":"/paper/imvoxelnet-image-to-voxels-projection-for","title":"ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection","date":"2021-06-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"chetanmreddy/voxelnet_chetan","path":"mmdet3d/models/detectors/imvoxelnet.py","file_url":"https://github.com/chetanmreddy/voxelnet_chetan/blob/HEAD/mmdet3d/models/detectors/imvoxelnet.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b4ba32634504fe10","mcp_get_code":{"code_sha256":"b4ba32634504fe10"}},{"arxiv_id":"2006.09102","paper":"/paper/ucsg-net-unsupervised-discovering-of","title":"UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree","date":"2020-06-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"kacperkan/ucsgnet","path":"ucsgnet/generators/generate_edge_data_from_point.py","file_url":"https://github.com/kacperkan/ucsgnet/blob/HEAD/ucsgnet/generators/generate_edge_data_from_point.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3ebafac58ce4e2a7","mcp_get_code":{"code_sha256":"3ebafac58ce4e2a7"}},{"arxiv_id":"1505.08082","paper":"/paper/learning-to-count-with-deep-object-features","title":"Learning to count with deep object features","date":"2015-05-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fomorians/counting-mnist","path":"counting_mnist/create_dataset.py","file_url":"https://github.com/fomorians/counting-mnist/blob/HEAD/counting_mnist/create_dataset.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0025dc0823d9dce0","mcp_get_code":{"code_sha256":"0025dc0823d9dce0"}}]}