{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3UCCTKWZNB3CFSRMURG7XGPCXL","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":"e22d4d93d9729311ec3e7b41429dc1ad5c1f000a52ae3c63f2c661e8016c1885","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-03-31T06:18:30Z","title_canon_sha256":"a56c6d9c3d3ff587589496917568144f41de35bc5c71086ffa13b58880e33e45"},"schema_version":"1.0","source":{"id":"2404.00573","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.00573","created_at":"2026-07-05T08:02:53Z"},{"alias_kind":"arxiv_version","alias_value":"2404.00573v1","created_at":"2026-07-05T08:02:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.00573","created_at":"2026-07-05T08:02:53Z"},{"alias_kind":"pith_short_12","alias_value":"3UCCTKWZNB3C","created_at":"2026-07-05T08:02:53Z"},{"alias_kind":"pith_short_16","alias_value":"3UCCTKWZNB3CFSRM","created_at":"2026-07-05T08:02:53Z"},{"alias_kind":"pith_short_8","alias_value":"3UCCTKWZ","created_at":"2026-07-05T08:02:53Z"}],"graph_snapshots":[{"event_id":"sha256:70038812f43766919d7dabef2e3f9b04e94b527e00569109813711e11e9e71c9","target":"graph","created_at":"2026-07-05T08:02:53Z","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/2404.00573/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this study, we propose a novel human-like memory architecture designed for enhancing the cognitive abilities of large language model based dialogue agents. Our proposed architecture enables agents to autonomously recall memories necessary for response generation, effectively addressing a limitation in the temporal cognition of LLMs. We adopt the human memory cue recall as a trigger for accurate and efficient memory recall. Moreover, we developed a mathematical model that dynamically quantifies memory consolidation, considering factors such as contextual relevance, elapsed time, and recall f","authors_text":"Haruki Tamoto, Homei Miyashita, Yuki Hou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-03-31T06:18:30Z","title":"\"My agent understands me better\": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.00573","kind":"arxiv","version":1},"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:e2d61b0f518a5856c5abb380257628549aee2b337c81f7e03470c39a887ad917","target":"record","created_at":"2026-07-05T08:02:53Z","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":"e22d4d93d9729311ec3e7b41429dc1ad5c1f000a52ae3c63f2c661e8016c1885","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-03-31T06:18:30Z","title_canon_sha256":"a56c6d9c3d3ff587589496917568144f41de35bc5c71086ffa13b58880e33e45"},"schema_version":"1.0","source":{"id":"2404.00573","kind":"arxiv","version":1}},"canonical_sha256":"dd0429aad9687622ca2ca44dfb99e2baef22230995109386efc6562f03dce0d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd0429aad9687622ca2ca44dfb99e2baef22230995109386efc6562f03dce0d7","first_computed_at":"2026-07-05T08:02:53.726147Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:02:53.726147Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e717ytxdGP+7lJDmpyhJUFBKkjQ5Lnk78UmbGNNoFtiHubc09onjaqxz61PMNcqnXIhquON1Ej+xAKgPtgJbBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:02:53.726781Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.00573","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2d61b0f518a5856c5abb380257628549aee2b337c81f7e03470c39a887ad917","sha256:70038812f43766919d7dabef2e3f9b04e94b527e00569109813711e11e9e71c9"],"state_sha256":"ced6aad9f02a74ec6cd9c98ef9e8426e533826ea5034d54c0121c09adda8d7bb"}