{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:URX7T3DZLY7VZL6XTQFHPR2BIQ","short_pith_number":"pith:URX7T3DZ","canonical_record":{"source":{"id":"2409.15729","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2024-09-24T04:23:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"766cc2c7c5e75888f1867504068d23b86db1075bc6337609ecd769c9d37b0626","abstract_canon_sha256":"2fb5f8248ad88084d98e05734210070911970ba2333dd4bca6b4eb08ebeb2644"},"schema_version":"1.0"},"canonical_sha256":"a46ff9ec795e3f5cafd79c0a77c7414429d7b52dfdb1d3ffa9a52c2c60253b54","source":{"kind":"arxiv","id":"2409.15729","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15729","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15729v2","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15729","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"pith_short_12","alias_value":"URX7T3DZLY7V","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"pith_short_16","alias_value":"URX7T3DZLY7VZL6X","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"pith_short_8","alias_value":"URX7T3DZ","created_at":"2026-07-05T10:24:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:URX7T3DZLY7VZL6XTQFHPR2BIQ","target":"record","payload":{"canonical_record":{"source":{"id":"2409.15729","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2024-09-24T04:23:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"766cc2c7c5e75888f1867504068d23b86db1075bc6337609ecd769c9d37b0626","abstract_canon_sha256":"2fb5f8248ad88084d98e05734210070911970ba2333dd4bca6b4eb08ebeb2644"},"schema_version":"1.0"},"canonical_sha256":"a46ff9ec795e3f5cafd79c0a77c7414429d7b52dfdb1d3ffa9a52c2c60253b54","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:24:25.628192Z","signature_b64":"cc4hNrRcBX/fh8mTyv0P8JJWCeJvIJzeU1YWQcXucqWnZ3pxbs7nhSytrTIJmq26eEw+XC1kMOJXyBIN3Gc5CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a46ff9ec795e3f5cafd79c0a77c7414429d7b52dfdb1d3ffa9a52c2c60253b54","last_reissued_at":"2026-07-05T10:24:25.627105Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:24:25.627105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.15729","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":"2026-07-05T10:24:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yyea+c68kd9/cgEvJk0gX2LDoa+NOo5A8dMMX5aA9qBFHWHxmdncHKMn9U2i2pPaJfgs79/3XpX6kB7L7x+tCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:53:40.172032Z"},"content_sha256":"a8f4f012b6c09697c0c78bc8af37a539aa86bcfbaf109a445609e0b026cf8f2e","schema_version":"1.0","event_id":"sha256:a8f4f012b6c09697c0c78bc8af37a539aa86bcfbaf109a445609e0b026cf8f2e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:URX7T3DZLY7VZL6XTQFHPR2BIQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sequential Learning in the Dense Associative Memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NE","authors_text":"Anthony Robins, Hayden McAlister, Lech Szymanski","submitted_at":"2024-09-24T04:23:00Z","abstract_excerpt":"Sequential learning involves learning tasks in a sequence, and proves challenging for most neural networks. Biological neural networks regularly conquer the sequential learning challenge and are even capable of transferring knowledge both forward and backwards between tasks. Artificial neural networks often totally fail to transfer performance between tasks, and regularly suffer from degraded performance or catastrophic forgetting on previous tasks. Models of associative memory have been used to investigate the discrepancy between biological and artificial neural networks due to their biologic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15729","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/2409.15729/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":"2026-07-05T10:24:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H2UCKTRrN8tnkDYW3XoUQE9RlQV9DF1yf7qqMxXlOS2r/+DCrwEfBg2BgqlS0wiWUoH7XdihRBoHTriKaRceAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:53:40.172547Z"},"content_sha256":"2a9f33e17bedde64f5101c3fbf880dac76e7d3d3de9cda1e0f79bb89eedb8348","schema_version":"1.0","event_id":"sha256:2a9f33e17bedde64f5101c3fbf880dac76e7d3d3de9cda1e0f79bb89eedb8348"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/URX7T3DZLY7VZL6XTQFHPR2BIQ/bundle.json","state_url":"https://pith.science/pith/URX7T3DZLY7VZL6XTQFHPR2BIQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/URX7T3DZLY7VZL6XTQFHPR2BIQ/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":"2026-08-10T00:53:40Z","links":{"resolver":"https://pith.science/pith/URX7T3DZLY7VZL6XTQFHPR2BIQ","bundle":"https://pith.science/pith/URX7T3DZLY7VZL6XTQFHPR2BIQ/bundle.json","state":"https://pith.science/pith/URX7T3DZLY7VZL6XTQFHPR2BIQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/URX7T3DZLY7VZL6XTQFHPR2BIQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:URX7T3DZLY7VZL6XTQFHPR2BIQ","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":"2fb5f8248ad88084d98e05734210070911970ba2333dd4bca6b4eb08ebeb2644","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2024-09-24T04:23:00Z","title_canon_sha256":"766cc2c7c5e75888f1867504068d23b86db1075bc6337609ecd769c9d37b0626"},"schema_version":"1.0","source":{"id":"2409.15729","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15729","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15729v2","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15729","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"pith_short_12","alias_value":"URX7T3DZLY7V","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"pith_short_16","alias_value":"URX7T3DZLY7VZL6X","created_at":"2026-07-05T10:24:25Z"},{"alias_kind":"pith_short_8","alias_value":"URX7T3DZ","created_at":"2026-07-05T10:24:25Z"}],"graph_snapshots":[{"event_id":"sha256:2a9f33e17bedde64f5101c3fbf880dac76e7d3d3de9cda1e0f79bb89eedb8348","target":"graph","created_at":"2026-07-05T10:24:25Z","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/2409.15729/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sequential learning involves learning tasks in a sequence, and proves challenging for most neural networks. Biological neural networks regularly conquer the sequential learning challenge and are even capable of transferring knowledge both forward and backwards between tasks. Artificial neural networks often totally fail to transfer performance between tasks, and regularly suffer from degraded performance or catastrophic forgetting on previous tasks. Models of associative memory have been used to investigate the discrepancy between biological and artificial neural networks due to their biologic","authors_text":"Anthony Robins, Hayden McAlister, Lech Szymanski","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2024-09-24T04:23:00Z","title":"Sequential Learning in the Dense Associative Memory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15729","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:a8f4f012b6c09697c0c78bc8af37a539aa86bcfbaf109a445609e0b026cf8f2e","target":"record","created_at":"2026-07-05T10:24:25Z","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":"2fb5f8248ad88084d98e05734210070911970ba2333dd4bca6b4eb08ebeb2644","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2024-09-24T04:23:00Z","title_canon_sha256":"766cc2c7c5e75888f1867504068d23b86db1075bc6337609ecd769c9d37b0626"},"schema_version":"1.0","source":{"id":"2409.15729","kind":"arxiv","version":2}},"canonical_sha256":"a46ff9ec795e3f5cafd79c0a77c7414429d7b52dfdb1d3ffa9a52c2c60253b54","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a46ff9ec795e3f5cafd79c0a77c7414429d7b52dfdb1d3ffa9a52c2c60253b54","first_computed_at":"2026-07-05T10:24:25.627105Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:24:25.627105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cc4hNrRcBX/fh8mTyv0P8JJWCeJvIJzeU1YWQcXucqWnZ3pxbs7nhSytrTIJmq26eEw+XC1kMOJXyBIN3Gc5CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:24:25.628192Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.15729","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8f4f012b6c09697c0c78bc8af37a539aa86bcfbaf109a445609e0b026cf8f2e","sha256:2a9f33e17bedde64f5101c3fbf880dac76e7d3d3de9cda1e0f79bb89eedb8348"],"state_sha256":"457dc11c96ac1b79912c28f5ea14a42e08333f03e0010ba9ca57675416510a65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aOZguJ6s0BXxUqoFqYNUbcQA0xZ8HGENRtXCIwYXkEoZHq0IKTgIWLRi92Wk06YTn5uzVrMhyqZQBGlfxy65AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T00:53:40.176081Z","bundle_sha256":"68f86ce3689c3125012d5c8cfc291949f6884054a0f90f1a5a8f45613c44603c"}}