{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IHYTBMQ65SW2OBNHBF27IN3YHB","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":"d62186e4ef5e9f7ce18a462eb374a413646505f1ec8108227581fe2a84810428","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-27T14:09:57Z","title_canon_sha256":"32bcecc7386659b9f11462477b5283bf2e419ce8acf95e878ec48300cdb7eeff"},"schema_version":"1.0","source":{"id":"2606.28933","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28933","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28933v1","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28933","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"pith_short_12","alias_value":"IHYTBMQ65SW2","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"pith_short_16","alias_value":"IHYTBMQ65SW2OBNH","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"pith_short_8","alias_value":"IHYTBMQ6","created_at":"2026-06-30T01:17:46Z"}],"graph_snapshots":[{"event_id":"sha256:8018a1b58ba97f1bdf8d715e342dc66eb8be7baa0c52e128e473812247fdeb75","target":"graph","created_at":"2026-06-30T01:17:46Z","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/2606.28933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Venture capital (VC) investment decisions face distinct challenges, such as multi-source heterogeneous data, non-stationary time series, and the demand for explainable predictions in high-stakes, low-data settings. To overcome these issues, we introduce \\textbf{FinInvest-GTCN}, a Graph-Temporal-Causal Network that redefines the task from content recommendation to quantitative risk-return assessment. This architecture combines a relational graph encoder to capture the investment ecosystem's topology, a multi-scale temporal fusion module to handle long-term dependencies and non-stationarity, and","authors_text":"Haoyu Zhang, Junyan Tan, Minghao Wang, Yifan Li, Zihan Chen","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-27T14:09:57Z","title":"FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28933","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":"sha256:44f2a9f5ae91b887f3175eead0830d8cf1fcc1e5477478fcbe8ac82c6a468366","target":"record","created_at":"2026-06-30T01:17:46Z","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":"d62186e4ef5e9f7ce18a462eb374a413646505f1ec8108227581fe2a84810428","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-27T14:09:57Z","title_canon_sha256":"32bcecc7386659b9f11462477b5283bf2e419ce8acf95e878ec48300cdb7eeff"},"schema_version":"1.0","source":{"id":"2606.28933","kind":"arxiv","version":1}},"canonical_sha256":"41f130b21eecada705a70975f4377838740bb53990fd15553ab8747bbed649a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41f130b21eecada705a70975f4377838740bb53990fd15553ab8747bbed649a5","first_computed_at":"2026-06-30T01:17:46.059772Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:17:46.059772Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AvMGcECzQMSS5m2KDC8md6Lz8lJtcMUpTnAZhiG6aK9bjhuJoosuIWoD1h3Ek8c3BD9RIaXj4mcJppNcgIgcAQ==","signature_status":"signed_v1","signed_at":"2026-06-30T01:17:46.060263Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.28933","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44f2a9f5ae91b887f3175eead0830d8cf1fcc1e5477478fcbe8ac82c6a468366","sha256:8018a1b58ba97f1bdf8d715e342dc66eb8be7baa0c52e128e473812247fdeb75"],"state_sha256":"a341939f170060663fff5829d8e65780157614674eb570830302abab9d9fe1cf"}