{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DHWWIFQUT2PGDLI6DALMK64JCE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"22cceab2cf0e9d46398981d9cea9f2976bbc288d608e6b56aaa1ae1777960f2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-23T15:55:44Z","title_canon_sha256":"0e7ec7a327f3e845a1a99f8d4afadbb868738900f8a8a81dfe88d7beb553d335"},"schema_version":"1.0","source":{"id":"2306.13575","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.13575","created_at":"2026-07-05T06:56:34Z"},{"alias_kind":"arxiv_version","alias_value":"2306.13575v3","created_at":"2026-07-05T06:56:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.13575","created_at":"2026-07-05T06:56:34Z"},{"alias_kind":"pith_short_12","alias_value":"DHWWIFQUT2PG","created_at":"2026-07-05T06:56:34Z"},{"alias_kind":"pith_short_16","alias_value":"DHWWIFQUT2PGDLI6","created_at":"2026-07-05T06:56:34Z"},{"alias_kind":"pith_short_8","alias_value":"DHWWIFQU","created_at":"2026-07-05T06:56:34Z"}],"graph_snapshots":[{"event_id":"sha256:c55a5cac46b8eedba3374f6e2aa9d1581cedc48e51c7e708d70e3c8d4829239a","target":"graph","created_at":"2026-07-05T06:56:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2306.13575/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work we revisit the most fundamental building block in deep learning, the multi-layer perceptron (MLP), and study the limits of its performance on vision tasks. Empirical insights into MLPs are important for multiple reasons. (1) Given the recent narrative \"less inductive bias is better\", popularized due to transformers eclipsing convolutional models, it is natural to explore the limits of this hypothesis. To that end, MLPs offer an ideal test bed, as they lack any vision-specific inductive bias. (2) MLPs have almost exclusively been the main protagonist in the deep learning theory lit","authors_text":"Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-23T15:55:44Z","title":"Scaling MLPs: A Tale of Inductive Bias"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.13575","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f7edcd2ff5d85d0c397dd33de265945148c31afdbad9be079bfdd613a845000f","target":"record","created_at":"2026-07-05T06:56:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"22cceab2cf0e9d46398981d9cea9f2976bbc288d608e6b56aaa1ae1777960f2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-23T15:55:44Z","title_canon_sha256":"0e7ec7a327f3e845a1a99f8d4afadbb868738900f8a8a81dfe88d7beb553d335"},"schema_version":"1.0","source":{"id":"2306.13575","kind":"arxiv","version":3}},"canonical_sha256":"19ed6416149e9e61ad1e1816c57b891131e6d810a57ee1833cc6e93a5493daa0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19ed6416149e9e61ad1e1816c57b891131e6d810a57ee1833cc6e93a5493daa0","first_computed_at":"2026-07-05T06:56:34.844427Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:56:34.844427Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9ie6HoIFjt6jjry0T0WWTR0HcI36HIa/mYjzQvNFE/4XGeDkdNbFMT/MSmnUTlN73SMxZJmYC6zMRU1HjGdoCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:56:34.844940Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.13575","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7edcd2ff5d85d0c397dd33de265945148c31afdbad9be079bfdd613a845000f","sha256:c55a5cac46b8eedba3374f6e2aa9d1581cedc48e51c7e708d70e3c8d4829239a"],"state_sha256":"f7a950e16e810ed2bdcaf1d66aae834ff81e305dcf90b2b660c52cbe326eb0b6"}