{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JRXI77TTAMLZEA2THFFPSDUAHC","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":"8f90fc3118ff81db45934ebd5bcb8f695f5e490a901533f158b01060316ecd6e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-29T10:41:03Z","title_canon_sha256":"0b15c1c585e70c06ef7c141e8d83d13f99bf15e5a7d4cb0a2fd31f1c05f0cb2f"},"schema_version":"1.0","source":{"id":"2510.25370","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.25370","created_at":"2026-07-09T01:19:48Z"},{"alias_kind":"arxiv_version","alias_value":"2510.25370v2","created_at":"2026-07-09T01:19:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.25370","created_at":"2026-07-09T01:19:48Z"},{"alias_kind":"pith_short_12","alias_value":"JRXI77TTAMLZ","created_at":"2026-07-09T01:19:48Z"},{"alias_kind":"pith_short_16","alias_value":"JRXI77TTAMLZEA2T","created_at":"2026-07-09T01:19:48Z"},{"alias_kind":"pith_short_8","alias_value":"JRXI77TT","created_at":"2026-07-09T01:19:48Z"}],"graph_snapshots":[{"event_id":"sha256:d7e6536b1d6a52b11693337a5a2648e80037a86abaaa535738d6a4d408effe56","target":"graph","created_at":"2026-07-09T01:19:48Z","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/2510.25370/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Forecasting transformative technologies remains a critical but challenging task, particularly in fast-evolving domains such as Information and Communication Technologies (ICTs). Traditional expert-based methods struggle to keep pace with short innovation cycles and ambiguous early-stage terminology. In this work, we propose a novel, data-driven pipeline to monitor the emergence of transformative technologies by identifying patterns of technological convergence.\n  Our approach leverages advances in Large Language Models (LLMs) to extract semantic triples from unstructured text and construct a l","authors_text":"Alain Mermoud, Alexander Sternfeld, Andrei Kucharavy, Dimitri Percia David, Julian Jang-Jaccard, Nathan Monnet","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-29T10:41:03Z","title":"Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.25370","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":"sha256:90c4c12f10ab0c0c2810554433b8ffe607f82924f0cc885cce6216ac724bee8a","target":"record","created_at":"2026-07-09T01:19:48Z","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":"8f90fc3118ff81db45934ebd5bcb8f695f5e490a901533f158b01060316ecd6e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-29T10:41:03Z","title_canon_sha256":"0b15c1c585e70c06ef7c141e8d83d13f99bf15e5a7d4cb0a2fd31f1c05f0cb2f"},"schema_version":"1.0","source":{"id":"2510.25370","kind":"arxiv","version":2}},"canonical_sha256":"4c6e8ffe730317920353394af90e8038a6df138c20b98ae4dde4ec8ee83a3440","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c6e8ffe730317920353394af90e8038a6df138c20b98ae4dde4ec8ee83a3440","first_computed_at":"2026-07-09T01:19:48.554644Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-09T01:19:48.554644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8spq9XPXz0khsSCzqnKgfbwyphvA0oMXugvy/vGyl9ZGSAaVp6TjAcCsjSYRvZrrTxJ1nZGQboeAxDBFlxIiAA==","signature_status":"signed_v1","signed_at":"2026-07-09T01:19:48.555087Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.25370","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90c4c12f10ab0c0c2810554433b8ffe607f82924f0cc885cce6216ac724bee8a","sha256:d7e6536b1d6a52b11693337a5a2648e80037a86abaaa535738d6a4d408effe56"],"state_sha256":"fd4aa94f4fd7ff9d1448541e196037dc3d59c2a5d22153c20cf711d30826c6fc"}