{"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/scalelayer","entry":"ScaleLayer","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":5,"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":5,"n_samples_fingerprinted":3,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":5,"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":"2501.18283","paper":"/paper/random-feature-representation-boosting","title":"Random Feature Representation Boosting","date":"2025-01-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"nikitazozoulenko/random-feature-representation-boosting","path":"models/random_feature_representation_boosting.py","file_url":"https://github.com/nikitazozoulenko/random-feature-representation-boosting/blob/HEAD/models/random_feature_representation_boosting.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c2d5f18425eeec9d","mcp_get_code":{"code_sha256":"c2d5f18425eeec9d"}},{"arxiv_id":"2307.08941","paper":"/paper/ntk-approximating-mlp-fusion-for-efficient","title":"MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language Models","date":"2023-07-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"weitianxin/mlp_fusion","path":"switch/switch_transformers/modeling_switch_transformers.py","file_url":"https://github.com/weitianxin/mlp_fusion/blob/HEAD/switch/switch_transformers/modeling_switch_transformers.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"77ecf773c5c9651a","mcp_get_code":{"code_sha256":"77ecf773c5c9651a"}},{"arxiv_id":"2304.09856","paper":"/paper/lipsformer-introducing-lipschitz-continuity","title":"LipsFormer: Introducing Lipschitz Continuity to Vision Transformers","date":"2023-04-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"idea-research/lipsformer","path":"models/lipsformer_swin.py","file_url":"https://github.com/idea-research/lipsformer/blob/HEAD/models/lipsformer_swin.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":"1b5b3985105da5c3","mcp_get_code":{"code_sha256":"1b5b3985105da5c3"}},{"arxiv_id":"2205.15242","paper":"/paper/re-parameterizing-your-optimizers-rather-than","title":"Re-parameterizing Your Optimizers rather than Architectures","date":"2022-05-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dingxiaoh/repoptimizers","path":"repoptimizer/repoptvgg_impl.py","file_url":"https://github.com/dingxiaoh/repoptimizers/blob/HEAD/repoptimizer/repoptvgg_impl.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3599b9e1a7349fea","mcp_get_code":{"code_sha256":"3599b9e1a7349fea"}},{"arxiv_id":"2204.02574","paper":"/paper/focalclick-towards-practical-interactive","title":"FocalClick: Towards Practical Interactive Image Segmentation","date":"2022-04-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"XavierCHEN34/ClickSEG","path":"isegm/model/is_hrnet_model.py","file_url":"https://github.com/XavierCHEN34/ClickSEG/blob/HEAD/isegm/model/is_hrnet_model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"7c22256846b5a788","mcp_get_code":{"code_sha256":"7c22256846b5a788"}}]}