{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HXOVNOF55KVB624A6FVBWYRJVB","short_pith_number":"pith:HXOVNOF5","canonical_record":{"source":{"id":"1910.02720","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-10-07T10:58:08Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"be05b44614b29ef41100e979e5172042f454a4333b7a5b140a112cab1e21e2ba","abstract_canon_sha256":"fde791a60ccaadde6e66177bef61d59d0f3b0f470675d89c93906171728f71df"},"schema_version":"1.0"},"canonical_sha256":"3ddd56b8bdeaaa1f6b80f16a1b6229a87d3c251860d8cb201a0d9a1fb11bfb10","source":{"kind":"arxiv","id":"1910.02720","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.02720","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"arxiv_version","alias_value":"1910.02720v2","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.02720","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"pith_short_12","alias_value":"HXOVNOF55KVB","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"HXOVNOF55KVB624A","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"HXOVNOF5","created_at":"2026-07-05T02:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HXOVNOF55KVB624A6FVBWYRJVB","target":"record","payload":{"canonical_record":{"source":{"id":"1910.02720","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-10-07T10:58:08Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"be05b44614b29ef41100e979e5172042f454a4333b7a5b140a112cab1e21e2ba","abstract_canon_sha256":"fde791a60ccaadde6e66177bef61d59d0f3b0f470675d89c93906171728f71df"},"schema_version":"1.0"},"canonical_sha256":"3ddd56b8bdeaaa1f6b80f16a1b6229a87d3c251860d8cb201a0d9a1fb11bfb10","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:33:15.695550Z","signature_b64":"MPT+8bbnfdAhZZvHdMs0stxpliDEEIHEdAxrET2XGSzBtHOaZsQaR6NVnsdJrYtjy7GfVU+LOkwI2xebzeL2Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ddd56b8bdeaaa1f6b80f16a1b6229a87d3c251860d8cb201a0d9a1fb11bfb10","last_reissued_at":"2026-07-05T02:33:15.695033Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:33:15.695033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.02720","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:33:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4/jgmPsvgRDKKM/s3Hxg24HaNbsmVnEiigdEttZXf1q1ajTAH5kllCZF+hNJFWxmCQ9v6mhH98OBhJHQR1cLDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:14:36.676666Z"},"content_sha256":"f38ee8837404cec4a7d1c21451cf1264efd404e03c445ceb64d7ca1ebe54a570","schema_version":"1.0","event_id":"sha256:f38ee8837404cec4a7d1c21451cf1264efd404e03c445ceb64d7ca1ebe54a570"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HXOVNOF55KVB624A6FVBWYRJVB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Meta-Learning Deep Energy-Based Memory Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"stat.ML","authors_text":"Jack W Rae, Sergey Bartunov, Simon Osindero, Timothy P Lillicrap","submitted_at":"2019-10-07T10:58:08Z","abstract_excerpt":"We study the problem of learning associative memory -- a system which is able to retrieve a remembered pattern based on its distorted or incomplete version. Attractor networks provide a sound model of associative memory: patterns are stored as attractors of the network dynamics and associative retrieval is performed by running the dynamics starting from a query pattern until it converges to an attractor. In such models the dynamics are often implemented as an optimization procedure that minimizes an energy function, such as in the classical Hopfield network. In general it is difficult to deriv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.02720","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1910.02720/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:33:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FqA4DtchCZ9DHvaIKrkq7E7rqoWaTiYVFtVyGrybUOx8exJ0oj0uHEZBD2nyg0GcQ1ybWV+uWdqK3nL2XLiKDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:14:36.677271Z"},"content_sha256":"c74b78371ede01d21be845c792f56edd7568c86060b4ae5b25dfb7441f0b6100","schema_version":"1.0","event_id":"sha256:c74b78371ede01d21be845c792f56edd7568c86060b4ae5b25dfb7441f0b6100"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HXOVNOF55KVB624A6FVBWYRJVB/bundle.json","state_url":"https://pith.science/pith/HXOVNOF55KVB624A6FVBWYRJVB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HXOVNOF55KVB624A6FVBWYRJVB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T06:14:36Z","links":{"resolver":"https://pith.science/pith/HXOVNOF55KVB624A6FVBWYRJVB","bundle":"https://pith.science/pith/HXOVNOF55KVB624A6FVBWYRJVB/bundle.json","state":"https://pith.science/pith/HXOVNOF55KVB624A6FVBWYRJVB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HXOVNOF55KVB624A6FVBWYRJVB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HXOVNOF55KVB624A6FVBWYRJVB","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":"fde791a60ccaadde6e66177bef61d59d0f3b0f470675d89c93906171728f71df","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-10-07T10:58:08Z","title_canon_sha256":"be05b44614b29ef41100e979e5172042f454a4333b7a5b140a112cab1e21e2ba"},"schema_version":"1.0","source":{"id":"1910.02720","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.02720","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"arxiv_version","alias_value":"1910.02720v2","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.02720","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"pith_short_12","alias_value":"HXOVNOF55KVB","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"HXOVNOF55KVB624A","created_at":"2026-07-05T02:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"HXOVNOF5","created_at":"2026-07-05T02:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:c74b78371ede01d21be845c792f56edd7568c86060b4ae5b25dfb7441f0b6100","target":"graph","created_at":"2026-07-05T02:33:15Z","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/1910.02720/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study the problem of learning associative memory -- a system which is able to retrieve a remembered pattern based on its distorted or incomplete version. Attractor networks provide a sound model of associative memory: patterns are stored as attractors of the network dynamics and associative retrieval is performed by running the dynamics starting from a query pattern until it converges to an attractor. In such models the dynamics are often implemented as an optimization procedure that minimizes an energy function, such as in the classical Hopfield network. In general it is difficult to deriv","authors_text":"Jack W Rae, Sergey Bartunov, Simon Osindero, Timothy P Lillicrap","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-10-07T10:58:08Z","title":"Meta-Learning Deep Energy-Based Memory Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.02720","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:f38ee8837404cec4a7d1c21451cf1264efd404e03c445ceb64d7ca1ebe54a570","target":"record","created_at":"2026-07-05T02:33:15Z","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":"fde791a60ccaadde6e66177bef61d59d0f3b0f470675d89c93906171728f71df","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-10-07T10:58:08Z","title_canon_sha256":"be05b44614b29ef41100e979e5172042f454a4333b7a5b140a112cab1e21e2ba"},"schema_version":"1.0","source":{"id":"1910.02720","kind":"arxiv","version":2}},"canonical_sha256":"3ddd56b8bdeaaa1f6b80f16a1b6229a87d3c251860d8cb201a0d9a1fb11bfb10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ddd56b8bdeaaa1f6b80f16a1b6229a87d3c251860d8cb201a0d9a1fb11bfb10","first_computed_at":"2026-07-05T02:33:15.695033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:33:15.695033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MPT+8bbnfdAhZZvHdMs0stxpliDEEIHEdAxrET2XGSzBtHOaZsQaR6NVnsdJrYtjy7GfVU+LOkwI2xebzeL2Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:33:15.695550Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.02720","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f38ee8837404cec4a7d1c21451cf1264efd404e03c445ceb64d7ca1ebe54a570","sha256:c74b78371ede01d21be845c792f56edd7568c86060b4ae5b25dfb7441f0b6100"],"state_sha256":"21544ba860bd801594c614d44c08739faf9bbb918f57af7e0068b891218b52ea"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gn+Iepm+TfBfB58x7TgMSEqIisuN0ZqVzHxXKkexDSDUK7FIzqpHCs/dzl0RCxYveYo+Yf7EGyGFhuQUMkQSBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T06:14:36.683377Z","bundle_sha256":"e5e918c5bc64814f9d0423f9eb83e1c119a75549f64d602821f4694f741a27f5"}}