{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DYYTTHVJF7K5IEJHWZMZFLLGP5","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":"705beb731dcd3307383785d8afef8b410cb52d76b9b2b5e46ac714b273947968","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-03-24T14:04:11Z","title_canon_sha256":"fd67d36b77b681afee8e91d804482181879ccaebda4862d08bb5a77a179c93e4"},"schema_version":"1.0","source":{"id":"2603.23231","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.23231","created_at":"2026-05-20T00:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"2603.23231v2","created_at":"2026-05-20T00:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.23231","created_at":"2026-05-20T00:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"DYYTTHVJF7K5","created_at":"2026-05-20T00:04:29Z"},{"alias_kind":"pith_short_16","alias_value":"DYYTTHVJF7K5IEJH","created_at":"2026-05-20T00:04:29Z"},{"alias_kind":"pith_short_8","alias_value":"DYYTTHVJ","created_at":"2026-05-20T00:04:29Z"}],"graph_snapshots":[{"event_id":"sha256:f7cc0b1b5d249432c2759fc1b7e26205a315b22a6beb81aee6998f920594462a","target":"graph","created_at":"2026-05-20T00:04:29Z","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/2603.23231/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Empowering large language models with long-term memory is crucial for building agents that adapt to users' evolving needs. Existing evaluations of this capability typically interleave preference-related dialogues with irrelevant conversations, reducing the task to needle-in-a-haystack retrieval while ignoring relationships between events driving user preference evolution. Such settings overlook a fundamental characteristic of real-world personalization: preferences emerge gradually and accumulate across interactions within noisy contexts. To bridge this gap, we introduce PERMA, a benchmark des","authors_text":"Bo Tang, Chao Zhang, Derong Xu, Enhong Chen, Feiyu Xiong, Haotian Zhang, Jia Li, Junda Lin, Junyi Zhu, Long Shu, Shuochen Liu, Tong Xu, Yuhao Chen, Zhiyu Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-03-24T14:04:11Z","title":"PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.23231","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":"sha256:7779dc5885bb5892175107020dfc3f1ef21b61ec647cca8e262444b2edd0b663","target":"record","created_at":"2026-05-20T00:04:29Z","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":"705beb731dcd3307383785d8afef8b410cb52d76b9b2b5e46ac714b273947968","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-03-24T14:04:11Z","title_canon_sha256":"fd67d36b77b681afee8e91d804482181879ccaebda4862d08bb5a77a179c93e4"},"schema_version":"1.0","source":{"id":"2603.23231","kind":"arxiv","version":2}},"canonical_sha256":"1e31399ea92fd5d41127b65992ad667f505cafce739752e632f0cdd5e45435c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e31399ea92fd5d41127b65992ad667f505cafce739752e632f0cdd5e45435c6","first_computed_at":"2026-05-20T00:04:29.854680Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:04:29.854680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nCLS1aGp9dD27fDL/V5nQ6OzaNbiE0pAY0pBFT5ykdZobQBIIMa3008zxtOm9D67zndFQ0XWzuYcHgfHVUvZCw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:04:29.855539Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.23231","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7779dc5885bb5892175107020dfc3f1ef21b61ec647cca8e262444b2edd0b663","sha256:f7cc0b1b5d249432c2759fc1b7e26205a315b22a6beb81aee6998f920594462a"],"state_sha256":"f8713d4baf3fcbf47a55020268b53e4527364eb62a52e5d17d828632d978c67d"}