{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4JHHTFFMTSIHOQSUYU7KZYETCE","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":"79cef747c43d1b59cdcb4fad75b31c3b6fc88942c5ede2e3fa5946f64d926de0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T06:47:08Z","title_canon_sha256":"46b8c04e650b51b224babffe1b8e330d3ebfe5134c61a21fba5ecda7076c7596"},"schema_version":"1.0","source":{"id":"2605.29453","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29453","created_at":"2026-05-29T01:05:40Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29453v1","created_at":"2026-05-29T01:05:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29453","created_at":"2026-05-29T01:05:40Z"},{"alias_kind":"pith_short_12","alias_value":"4JHHTFFMTSIH","created_at":"2026-05-29T01:05:40Z"},{"alias_kind":"pith_short_16","alias_value":"4JHHTFFMTSIHOQSU","created_at":"2026-05-29T01:05:40Z"},{"alias_kind":"pith_short_8","alias_value":"4JHHTFFM","created_at":"2026-05-29T01:05:40Z"}],"graph_snapshots":[{"event_id":"sha256:0556cce166358a8d6267e64f9530f11d6b4fabb028cf93eded6579fe77d344e8","target":"graph","created_at":"2026-05-29T01:05:40Z","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/2605.29453/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Representation learning on dynamic graphs requires capturing complex dependencies that evolve across both time and structure. Existing approaches typically adopt fixed temporal decay schemes or predetermined structural propagation depths, limiting their ability to generalize across graphs with diverse interaction frequencies and topological characteristics. We propose Dual-Scale Retentive Dynamics (DSRD), a unified framework that maintains a retentive representation state encoding both temporal memory and structural context. DSRD introduces two key components: (i) a retentive state with dual-s","authors_text":"Ciprian Doru Giurcaneanu, Guoping Hu, Jinqing Yang, Mengjia Wu, Qian Chang, Runsong Jia, Xia Li, Xiufeng Cheng, Yi Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T06:47:08Z","title":"Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29453","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":"sha256:3df6cc70d9bdcdf85476c7356073a93ecddfd522562d11bf94c99278999c7d5c","target":"record","created_at":"2026-05-29T01:05:40Z","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":"79cef747c43d1b59cdcb4fad75b31c3b6fc88942c5ede2e3fa5946f64d926de0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T06:47:08Z","title_canon_sha256":"46b8c04e650b51b224babffe1b8e330d3ebfe5134c61a21fba5ecda7076c7596"},"schema_version":"1.0","source":{"id":"2605.29453","kind":"arxiv","version":1}},"canonical_sha256":"e24e7994ac9c90774254c53eace093111627a7b0c6a6671622d81052d267f984","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e24e7994ac9c90774254c53eace093111627a7b0c6a6671622d81052d267f984","first_computed_at":"2026-05-29T01:05:40.136637Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:05:40.136637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o1/9jDUaxnIoXDpRHRxtGhYO0xGfebpi9hLPErW8F2qCSrmNKNPWD2pUWi86rU4wHYShUWLkl+iwI+ojXXEdDw==","signature_status":"signed_v1","signed_at":"2026-05-29T01:05:40.137365Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.29453","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3df6cc70d9bdcdf85476c7356073a93ecddfd522562d11bf94c99278999c7d5c","sha256:0556cce166358a8d6267e64f9530f11d6b4fabb028cf93eded6579fe77d344e8"],"state_sha256":"d15a7d7c9411306bde0edec10e152b95293d9d7916647e5f346980c4a57782f1"}