{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NLIXYAB7UNQSEZYPMPV7SY6MSD","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":"0358dd65dfc35af21942897976966977e9f35e6e7555a31f6c021c624f045064","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-30T09:05:46Z","title_canon_sha256":"97f1d2ac47bf02ce24e6c1b8f977afee21b46b0cd910b596ca47c5a3895ead71"},"schema_version":"1.0","source":{"id":"2607.27891","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27891","created_at":"2026-07-31T01:34:37Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27891v1","created_at":"2026-07-31T01:34:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27891","created_at":"2026-07-31T01:34:37Z"},{"alias_kind":"pith_short_12","alias_value":"NLIXYAB7UNQS","created_at":"2026-07-31T01:34:37Z"},{"alias_kind":"pith_short_16","alias_value":"NLIXYAB7UNQSEZYP","created_at":"2026-07-31T01:34:37Z"},{"alias_kind":"pith_short_8","alias_value":"NLIXYAB7","created_at":"2026-07-31T01:34:37Z"}],"graph_snapshots":[{"event_id":"sha256:ed7b39ec681a11a8f5efd4abbc7d1d7920c8a10c200087b1811d34db5fa78d02","target":"graph","created_at":"2026-07-31T01:34:37Z","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/2607.27891/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Temporal graph learning is commonly organized around the evolution of node states or the encoding of interaction histories. We study an underexplored, operator-centric question: should the graph propagation mechanism itself evolve over time? We introduce Dynamic Spectral Filtering (DSF), which represents propagation at snapshot t by a Chebyshev polynomial filter with vector-valued, time-dependent coefficients. DSF explicitly treats these compact multi-order coefficients as recurrent temporal states. A recurrent branch proposes updates, while multiplicative global and order-specific gates regul","authors_text":"Yan Kong","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-30T09:05:46Z","title":"Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27891","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:d7d819b8becbdf64bc8c2430eed0b59436e16cb8eb345cd5ef4312204077b7f3","target":"record","created_at":"2026-07-31T01:34:37Z","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":"0358dd65dfc35af21942897976966977e9f35e6e7555a31f6c021c624f045064","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-30T09:05:46Z","title_canon_sha256":"97f1d2ac47bf02ce24e6c1b8f977afee21b46b0cd910b596ca47c5a3895ead71"},"schema_version":"1.0","source":{"id":"2607.27891","kind":"arxiv","version":1}},"canonical_sha256":"6ad17c003fa36122670f63ebf963cc90f5396583c8ca9a39bb772143701af8d7","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ad17c003fa36122670f63ebf963cc90f5396583c8ca9a39bb772143701af8d7","first_computed_at":"2026-07-31T01:34:37.566442Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:34:37.566442Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27891","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7d819b8becbdf64bc8c2430eed0b59436e16cb8eb345cd5ef4312204077b7f3","sha256:ed7b39ec681a11a8f5efd4abbc7d1d7920c8a10c200087b1811d34db5fa78d02"],"state_sha256":"6972936852a7b140eca9857c7331ad8000997acab3d09a5a90c340bc49390989"}