{"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/mlpblock-2","entry":"MlpBlock","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":17,"n_samples_ran":14,"n_samples_fingerprinted":1,"n_places":17,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"ran":13,"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":"2411.08706","paper":"/paper/searching-latent-program-spaces","title":"Searching Latent Program Spaces","date":"2024-11-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"clement-bonnet/lpn","path":"src/models/lpn.py","file_url":"https://github.com/clement-bonnet/lpn/blob/HEAD/src/models/lpn.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":"105ac46cb40d3715","mcp_get_code":{"code_sha256":"105ac46cb40d3715"}},{"arxiv_id":"2305.07011","paper":"/paper/region-aware-pretraining-for-open-vocabulary","title":"Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers","date":"2023-05-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"google-research/google-research","path":"moe_mtl/modeling/vit.py","file_url":"https://github.com/google-research/google-research/blob/HEAD/moe_mtl/modeling/vit.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"6d80bcd9c94bd100","mcp_get_code":{"code_sha256":"6d80bcd9c94bd100"}},{"arxiv_id":"2210.10864","paper":"/paper/cluster-and-aggregate-face-recognition-with","title":"Cluster and Aggregate: Face Recognition with Large Probe Set","date":"2022-10-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mk-minchul/caface","path":"caface/nets/transformer/cluster_transformer.py","file_url":"https://github.com/mk-minchul/caface/blob/HEAD/caface/nets/transformer/cluster_transformer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"90214f9e6210c7ae","mcp_get_code":{"code_sha256":"90214f9e6210c7ae"}},{"arxiv_id":"2207.00499","paper":"/paper/motionmixer-mlp-based-3d-human-body-pose","title":"MotionMixer: MLP-based 3D Human Body Pose Forecasting","date":"2022-07-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"MotionMLP/MotionMixer","path":"amass/mlp_mixer.py","file_url":"https://github.com/MotionMLP/MotionMixer/blob/HEAD/amass/mlp_mixer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"1832a97025924dd6","mcp_get_code":{"code_sha256":"1832a97025924dd6"}},{"arxiv_id":"2201.02973","paper":"/paper/maxim-multi-axis-mlp-for-image-processing","title":"MAXIM: Multi-Axis MLP for Image Processing","date":"2022-01-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"google-research/maxim","path":"maxim/models/maxim.py","file_url":"https://github.com/google-research/maxim/blob/HEAD/maxim/models/maxim.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":"e60caa8706cbaa5e","mcp_get_code":{"code_sha256":"e60caa8706cbaa5e"}},{"arxiv_id":"2201.02973","paper":"/paper/maxim-multi-axis-mlp-for-image-processing","title":"MAXIM: Multi-Axis MLP for Image Processing","date":"2022-01-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sayakpaul/maxim-tf","path":"maxim/maxim.py","file_url":"https://github.com/sayakpaul/maxim-tf/blob/HEAD/maxim/maxim.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"4cbc099a6c833993","mcp_get_code":{"code_sha256":"4cbc099a6c833993"}},{"arxiv_id":"2105.01601","paper":"/paper/mlp-mixer-an-all-mlp-architecture-for-vision","title":"MLP-Mixer: An all-MLP Architecture for Vision","date":"2021-05-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jankrepl/mildlyoverfitted","path":"github_adventures/mixer/ours.py","file_url":"https://github.com/jankrepl/mildlyoverfitted/blob/HEAD/github_adventures/mixer/ours.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c387d8e5f1eaad56","mcp_get_code":{"code_sha256":"c387d8e5f1eaad56"}},{"arxiv_id":"2105.01601","paper":"/paper/mlp-mixer-an-all-mlp-architecture-for-vision","title":"MLP-Mixer: An all-MLP Architecture for Vision","date":"2021-05-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xmu-xiaoma666/MLP-Mixer-pytorch","path":"mlp_mixer.py","file_url":"https://github.com/xmu-xiaoma666/MLP-Mixer-pytorch/blob/HEAD/mlp_mixer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"d85267acb9961574","mcp_get_code":{"code_sha256":"d85267acb9961574"}},{"arxiv_id":"2105.01601","paper":"/paper/mlp-mixer-an-all-mlp-architecture-for-vision","title":"MLP-Mixer: An all-MLP Architecture for Vision","date":"2021-05-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"asarigun/MixerGANsformer","path":"models.py","file_url":"https://github.com/asarigun/MixerGANsformer/blob/HEAD/models.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"248fcdb26a7dd4f9","mcp_get_code":{"code_sha256":"248fcdb26a7dd4f9"}},{"arxiv_id":"2105.01601","paper":"/paper/mlp-mixer-an-all-mlp-architecture-for-vision","title":"MLP-Mixer: An all-MLP Architecture for Vision","date":"2021-05-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Benjamin-Etheredge/mlp-mixer-keras","path":"mlp_mixer_keras/mlp_mixer.py","file_url":"https://github.com/Benjamin-Etheredge/mlp-mixer-keras/blob/HEAD/mlp_mixer_keras/mlp_mixer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"439d67350ed50934","mcp_get_code":{"code_sha256":"439d67350ed50934"}},{"arxiv_id":"2105.01601","paper":"/paper/mlp-mixer-an-all-mlp-architecture-for-vision","title":"MLP-Mixer: An all-MLP Architecture for Vision","date":"2021-05-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ttt496/VisionTransformer","path":"vit_jax/models_mixer.py","file_url":"https://github.com/ttt496/VisionTransformer/blob/HEAD/vit_jax/models_mixer.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":"86da625eed7c63d1","mcp_get_code":{"code_sha256":"86da625eed7c63d1"}},{"arxiv_id":"2105.01601","paper":"/paper/mlp-mixer-an-all-mlp-architecture-for-vision","title":"MLP-Mixer: An all-MLP Architecture for Vision","date":"2021-05-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jeonsworld/MLP-Mixer-Pytorch","path":"models/modeling.py","file_url":"https://github.com/jeonsworld/MLP-Mixer-Pytorch/blob/HEAD/models/modeling.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"959b386a50475b8e","mcp_get_code":{"code_sha256":"959b386a50475b8e"}},{"arxiv_id":"2103.00112","paper":"/paper/transformer-in-transformer","title":"Transformer in Transformer","date":"2021-02-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"NZ99/transformer_in_transformer_flax","path":"transformer_in_transformer_flax/tnt.py","file_url":"https://github.com/NZ99/transformer_in_transformer_flax/blob/HEAD/transformer_in_transformer_flax/tnt.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0f86fae86e577e92","mcp_get_code":{"code_sha256":"0f86fae86e577e92"}},{"arxiv_id":"2102.12122","paper":"/paper/pyramid-vision-transformer-a-versatile","title":"Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions","date":"2021-02-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"microsoft/vision-longformer","path":"src/models/msvit.py","file_url":"https://github.com/microsoft/vision-longformer/blob/HEAD/src/models/msvit.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0440cd3acf07c3c4","mcp_get_code":{"code_sha256":"0440cd3acf07c3c4"}},{"arxiv_id":"2010.11929","paper":"/paper/an-image-is-worth-16x16-words-transformers-1","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","date":"2020-10-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"asyml/vision-transformer-pytorch","path":"src/model.py","file_url":"https://github.com/asyml/vision-transformer-pytorch/blob/HEAD/src/model.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":"211b9690042c26c5","mcp_get_code":{"code_sha256":"211b9690042c26c5"}},{"arxiv_id":"2010.11929","paper":"/paper/an-image-is-worth-16x16-words-transformers-1","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","date":"2020-10-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"google-research/vision_transformer","path":"vit_jax/models_vit.py","file_url":"https://github.com/google-research/vision_transformer/blob/HEAD/vit_jax/models_vit.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":"8ce4cd665a6aa6ba","mcp_get_code":{"code_sha256":"8ce4cd665a6aa6ba"}},{"arxiv_id":"2010.11929","paper":"/paper/an-image-is-worth-16x16-words-transformers-1","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","date":"2020-10-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ttt496/VisionTransformer","path":"vit_jax/models.py","file_url":"https://github.com/ttt496/VisionTransformer/blob/HEAD/vit_jax/models.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":"655ad1b00df17771","mcp_get_code":{"code_sha256":"655ad1b00df17771"}}]}