{"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/params-to-string","entry":"params_to_string","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":1,"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":1,"n_samples_fingerprinted":1,"n_places":10,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"ran":0,"unverified":7},"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":"2301.11929","paper":"/paper/training-full-spike-neural-networks-via","title":"Training Full Spike Neural Networks via Auxiliary Accumulation Pathway","date":"2023-01-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"iCGY96/syops-counter","path":"syops/utils.py","file_url":"https://github.com/iCGY96/syops-counter/blob/HEAD/syops/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"dc5ee8c0a918c502","mcp_get_code":{"code_sha256":"dc5ee8c0a918c502"}},{"arxiv_id":"2212.00968","paper":"/paper/uiu-net-u-net-in-u-net-for-infrared-small","title":"UIU-Net: U-Net in U-Net for Infrared Small Object Detection","date":"2022-12-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"danfenghong/ieee_tip_uiu-net","path":"compute_cost.py","file_url":"https://github.com/danfenghong/ieee_tip_uiu-net/blob/HEAD/compute_cost.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":"ddea91f7dddc66e6","mcp_get_code":{"code_sha256":"ddea91f7dddc66e6"}},{"arxiv_id":"2210.05144","paper":"/paper/mixture-of-attention-heads-selecting","title":"Mixture of Attention Heads: Selecting Attention Heads Per Token","date":"2022-10-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sovrasov/flops-counter.pytorch","path":"ptflops/utils.py","file_url":"https://github.com/sovrasov/flops-counter.pytorch/blob/HEAD/ptflops/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"492162380895ff7c","mcp_get_code":{"code_sha256":"492162380895ff7c"}},{"arxiv_id":"2204.08680","paper":"/paper/not-all-tokens-are-equal-human-centric-visual","title":"Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer","date":"2022-04-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zengwang430521/tcformer","path":"tcformer_module/custom_flops_counter.py","file_url":"https://github.com/zengwang430521/tcformer/blob/HEAD/tcformer_module/custom_flops_counter.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":"e0247439ad10578e","mcp_get_code":{"code_sha256":"e0247439ad10578e"}},{"arxiv_id":"2112.13635","paper":"/paper/adaptivepose-human-parts-as-adaptive-points","title":"AdaptivePose: Human Parts as Adaptive Points","date":"2021-12-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"buptxyb666/AdaptivePose","path":"src/flops_counter.py","file_url":"https://github.com/buptxyb666/AdaptivePose/blob/HEAD/src/flops_counter.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"7871d7537549b915","mcp_get_code":{"code_sha256":"7871d7537549b915"}},{"arxiv_id":"2106.10823","paper":"/paper/3d-object-detection-for-autonomous-driving-a","title":"3D Object Detection for Autonomous Driving: A Survey","date":"2021-06-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"rui-qian/SoTA-3D-Object-Detection","path":"code/flops_counter.py","file_url":"https://github.com/rui-qian/SoTA-3D-Object-Detection/blob/HEAD/code/flops_counter.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"ea639239a6791074","mcp_get_code":{"code_sha256":"ea639239a6791074"}},{"arxiv_id":"2104.05707","paper":"/paper/localvit-bringing-locality-to-vision","title":"LocalViT: Bringing Locality to Vision Transformers","date":"2021-04-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ofsoundof/LocalViT","path":"flops_counter.py","file_url":"https://github.com/ofsoundof/LocalViT/blob/HEAD/flops_counter.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"ddea91f7dddc66e6","mcp_get_code":{"code_sha256":"ddea91f7dddc66e6"}},{"arxiv_id":"2004.09576","paper":"/paper/lsq-improving-low-bit-quantization-through","title":"LSQ+: Improving low-bit quantization through learnable offsets and better initialization","date":"2020-04-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yashbhalgat/QualcommAI-MicroNet-submission-MixNet","path":"lsq_quantizer/flops_counter.py","file_url":"https://github.com/yashbhalgat/QualcommAI-MicroNet-submission-MixNet/blob/HEAD/lsq_quantizer/flops_counter.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":false,"code_sha256_prefix":"4c52df27c25660c5","mcp_get_code":{"code_sha256":"4c52df27c25660c5"}},{"arxiv_id":"1902.08570","paper":"/paper/particlenet-jet-tagging-via-particle-clouds","title":"ParticleNet: Jet Tagging via Particle Clouds","date":"2019-02-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hqucms/weaver-core","path":"weaver/utils/flops_counter.py","file_url":"https://github.com/hqucms/weaver-core/blob/HEAD/weaver/utils/flops_counter.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"44f6804749deb60e","mcp_get_code":{"code_sha256":"44f6804749deb60e"}},{"arxiv_id":"aaai_28394","paper":null,"title":"arXiv:aaai_28394","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"iam-nacl/DTMFormer","path":"utils/flops_counter.py","file_url":"https://github.com/iam-nacl/DTMFormer/blob/HEAD/utils/flops_counter.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"ddea91f7dddc66e6","mcp_get_code":{"code_sha256":"ddea91f7dddc66e6"}}]}