{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:P2XAB4YYQLPPAZUR7NEMY6PGNH","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":"3b5cbf8208221da5754e9ea16f1db9810d9ddb69fb76d9ed9da7fc4e07caffed","cross_cats_sorted":["cond-mat.dis-nn","cs.CV","q-bio.NC","stat.ML"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-14T18:51:22Z","title_canon_sha256":"86b46738f77ec8c41da0d2ea2b81d009ee6648bc171dddbb2d26d602af8bfeef"},"schema_version":"1.0","source":{"id":"2302.07253","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.07253","created_at":"2026-07-05T07:07:36Z"},{"alias_kind":"arxiv_version","alias_value":"2302.07253v2","created_at":"2026-07-05T07:07:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.07253","created_at":"2026-07-05T07:07:36Z"},{"alias_kind":"pith_short_12","alias_value":"P2XAB4YYQLPP","created_at":"2026-07-05T07:07:36Z"},{"alias_kind":"pith_short_16","alias_value":"P2XAB4YYQLPPAZUR","created_at":"2026-07-05T07:07:36Z"},{"alias_kind":"pith_short_8","alias_value":"P2XAB4YY","created_at":"2026-07-05T07:07:36Z"}],"graph_snapshots":[{"event_id":"sha256:b34e140d2b751cbd56332b6c791c20fb1f28ba12651f2bf3d1bef87512dda5d8","target":"graph","created_at":"2026-07-05T07:07:36Z","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/2302.07253/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Our work combines aspects of three promising paradigms in machine learning, namely, attention mechanism, energy-based models, and associative memory. Attention is the power-house driving modern deep learning successes, but it lacks clear theoretical foundations. Energy-based models allow a principled approach to discriminative and generative tasks, but the design of the energy functional is not straightforward. At the same time, Dense Associative Memory models or Modern Hopfield Networks have a well-established theoretical foundation, and allow an intuitive design of the energy function. We pr","authors_text":"Bao Pham, Benjamin Hoover, Dmitry Krotov, Duen Horng Chau, Hendrik Strobelt, Mohammed J. Zaki, Rameswar Panda, Yuchen Liang","cross_cats":["cond-mat.dis-nn","cs.CV","q-bio.NC","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-14T18:51:22Z","title":"Energy Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.07253","kind":"arxiv","version":2},"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":"sha256:38554199d65c89985e6ef8a8be1abca9b21827ca91473b83b3df7565e1eee5ea","target":"record","created_at":"2026-07-05T07:07:36Z","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":"3b5cbf8208221da5754e9ea16f1db9810d9ddb69fb76d9ed9da7fc4e07caffed","cross_cats_sorted":["cond-mat.dis-nn","cs.CV","q-bio.NC","stat.ML"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-14T18:51:22Z","title_canon_sha256":"86b46738f77ec8c41da0d2ea2b81d009ee6648bc171dddbb2d26d602af8bfeef"},"schema_version":"1.0","source":{"id":"2302.07253","kind":"arxiv","version":2}},"canonical_sha256":"7eae00f31882def06691fb48cc79e669d6dcf7f10fb3140565b727de402b4b63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7eae00f31882def06691fb48cc79e669d6dcf7f10fb3140565b727de402b4b63","first_computed_at":"2026-07-05T07:07:36.773968Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:07:36.773968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/mRKldCW0HRnrUPnbPIo5wND1VMcFWnRtOv7Xu9vsaPRYvLob4iOwW12B1u4Q2Hg0tJM2YmIPB35tIyeJjRQCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:07:36.774505Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.07253","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38554199d65c89985e6ef8a8be1abca9b21827ca91473b83b3df7565e1eee5ea","sha256:b34e140d2b751cbd56332b6c791c20fb1f28ba12651f2bf3d1bef87512dda5d8"],"state_sha256":"2274be4726ba25306c32d0310a3b27452f6d7eb3f7538a653cbe84feb8ea5e4c"}