{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DPY3UK65ISKOKITIDSP36D2BZ2","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":"8c9dbd3ad0df73b3624b5bb590c0f49d1b036f4b27f71e0f0a9c92abadc0c340","cross_cats_sorted":["cs.HC","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T22:44:53Z","title_canon_sha256":"38196e36c46ca2fdc4ecbfe75c38bbd7f30f171a3448fcb16809b45a24092e99"},"schema_version":"1.0","source":{"id":"2406.17963","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17963","created_at":"2026-07-05T08:37:38Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17963v2","created_at":"2026-07-05T08:37:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17963","created_at":"2026-07-05T08:37:38Z"},{"alias_kind":"pith_short_12","alias_value":"DPY3UK65ISKO","created_at":"2026-07-05T08:37:38Z"},{"alias_kind":"pith_short_16","alias_value":"DPY3UK65ISKOKITI","created_at":"2026-07-05T08:37:38Z"},{"alias_kind":"pith_short_8","alias_value":"DPY3UK65","created_at":"2026-07-05T08:37:38Z"}],"graph_snapshots":[{"event_id":"sha256:db8cb22b35137fae0f28bf2b50c1ac9a2d63e80603c9b68e4d495fe91ee38256","target":"graph","created_at":"2026-07-05T08:37:38Z","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/2406.17963/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We developed DyGETViz, a novel framework for effectively visualizing dynamic graphs (DGs) that are ubiquitous across diverse real-world systems. This framework leverages recent advancements in discrete-time dynamic graph (DTDG) models to adeptly handle the temporal dynamics inherent in dynamic graphs. DyGETViz effectively captures both micro- and macro-level structural shifts within these graphs, offering a robust method for representing complex and massive dynamic graphs. The application of DyGETViz extends to a diverse array of domains, including ethology, epidemiology, finance, genetics, li","authors_text":"Ajay Divakaran, Andrew Zhao, Meng Ye, Srijan Kumar, Yeon-Chang Lee, Yiqiao Jin","cross_cats":["cs.HC","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T22:44:53Z","title":"Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17963","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":"sha256:6443a707ba7b1343b6d258b9194f666e6505bc7f48805bb93b71c327e0f3763b","target":"record","created_at":"2026-07-05T08:37:38Z","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":"8c9dbd3ad0df73b3624b5bb590c0f49d1b036f4b27f71e0f0a9c92abadc0c340","cross_cats_sorted":["cs.HC","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T22:44:53Z","title_canon_sha256":"38196e36c46ca2fdc4ecbfe75c38bbd7f30f171a3448fcb16809b45a24092e99"},"schema_version":"1.0","source":{"id":"2406.17963","kind":"arxiv","version":2}},"canonical_sha256":"1bf1ba2bdd4494e522681c9fbf0f41cea6eee37c467e67d77a719844c3d69926","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bf1ba2bdd4494e522681c9fbf0f41cea6eee37c467e67d77a719844c3d69926","first_computed_at":"2026-07-05T08:37:38.945528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:37:38.945528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qDcVvUQhZ33yfyhvzJWvZBqBj2Mo1FWBk+4lOOTkM2TxV9hz1r5KkxjZWTkH5GWX5EH+xNbMprsE7MkwHie3Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:37:38.945980Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.17963","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6443a707ba7b1343b6d258b9194f666e6505bc7f48805bb93b71c327e0f3763b","sha256:db8cb22b35137fae0f28bf2b50c1ac9a2d63e80603c9b68e4d495fe91ee38256"],"state_sha256":"904ef16739d3578b7b30b469a22acd158efe01755e0ddfe36bfbd7ef0ada89f5"}