{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NK5JWO4PWSREKB5U2HNE63NNSV","short_pith_number":"pith:NK5JWO4P","canonical_record":{"source":{"id":"2407.10794","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T15:13:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3867b193e45b42511b6b36ffe274fd3e60d7aabaf56a59767a7b97a0178b3c00","abstract_canon_sha256":"b307ccbd4e9a6cd91b5dbd96d1132cff82d025f59c88dd90a1a0b340407b49fd"},"schema_version":"1.0"},"canonical_sha256":"6aba9b3b8fb4a24507b4d1da4f6dad955d97fc354fe8d02d7f8d076429ca2d4f","source":{"kind":"arxiv","id":"2407.10794","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.10794","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"arxiv_version","alias_value":"2407.10794v1","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.10794","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"pith_short_12","alias_value":"NK5JWO4PWSRE","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"pith_short_16","alias_value":"NK5JWO4PWSREKB5U","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"pith_short_8","alias_value":"NK5JWO4P","created_at":"2026-07-05T08:44:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NK5JWO4PWSREKB5U2HNE63NNSV","target":"record","payload":{"canonical_record":{"source":{"id":"2407.10794","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T15:13:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3867b193e45b42511b6b36ffe274fd3e60d7aabaf56a59767a7b97a0178b3c00","abstract_canon_sha256":"b307ccbd4e9a6cd91b5dbd96d1132cff82d025f59c88dd90a1a0b340407b49fd"},"schema_version":"1.0"},"canonical_sha256":"6aba9b3b8fb4a24507b4d1da4f6dad955d97fc354fe8d02d7f8d076429ca2d4f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:44:04.162715Z","signature_b64":"PSUzFtZowjxibrPXj/VvMUj0ikH8PZ0v9b8JcqHYN8cUO0MjEqH2guHB993dF72z6mMl3jT86eGQXEGcVw32BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6aba9b3b8fb4a24507b4d1da4f6dad955d97fc354fe8d02d7f8d076429ca2d4f","last_reissued_at":"2026-07-05T08:44:04.162224Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:44:04.162224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.10794","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:44:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xkNevESY2nPtX+ADNrRA+v3OPUP+Kvhi9RHqiBYVIS8q7yusXNeV3zpjollykoYIr8tcxj+8f8QX40Snl14PAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:29:40.100211Z"},"content_sha256":"b15f7d9cf7f87871dc78f71fd57090ae0134b11dfa341bcd33c1e8a9d93f6d27","schema_version":"1.0","event_id":"sha256:b15f7d9cf7f87871dc78f71fd57090ae0134b11dfa341bcd33c1e8a9d93f6d27"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NK5JWO4PWSREKB5U2HNE63NNSV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Aosong Feng, Boming Yang, Freddy Lecue, Irene Li, Jinghui Lu, Rui Yang, Sixun Ouyang, Tianwei She, Yuang Jiang","submitted_at":"2024-07-15T15:13:49Z","abstract_excerpt":"Knowledge graphs (KGs) are crucial in the field of artificial intelligence and are widely applied in downstream tasks, such as enhancing Question Answering (QA) systems. The construction of KGs typically requires significant effort from domain experts. Recently, Large Language Models (LLMs) have been used for knowledge graph construction (KGC), however, most existing approaches focus on a local perspective, extracting knowledge triplets from individual sentences or documents. In this work, we introduce Graphusion, a zero-shot KGC framework from free text. The core fusion module provides a glob"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.10794","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2407.10794/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:44:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0RBRLYlnr/01ljNFm1EukfT/G3QGL1xUBvO6wRxzF4tmFaN/CToy0oZYsDrkTBitGYK3CIbTzqH5KpA0rmzCAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:29:40.101058Z"},"content_sha256":"6078a8e9667238b2f2d5e5866059d4e4ce2137cd93c7c3ce8a9edd8e212115a0","schema_version":"1.0","event_id":"sha256:6078a8e9667238b2f2d5e5866059d4e4ce2137cd93c7c3ce8a9edd8e212115a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NK5JWO4PWSREKB5U2HNE63NNSV/bundle.json","state_url":"https://pith.science/pith/NK5JWO4PWSREKB5U2HNE63NNSV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NK5JWO4PWSREKB5U2HNE63NNSV/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-03T15:29:40Z","links":{"resolver":"https://pith.science/pith/NK5JWO4PWSREKB5U2HNE63NNSV","bundle":"https://pith.science/pith/NK5JWO4PWSREKB5U2HNE63NNSV/bundle.json","state":"https://pith.science/pith/NK5JWO4PWSREKB5U2HNE63NNSV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NK5JWO4PWSREKB5U2HNE63NNSV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NK5JWO4PWSREKB5U2HNE63NNSV","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":"b307ccbd4e9a6cd91b5dbd96d1132cff82d025f59c88dd90a1a0b340407b49fd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T15:13:49Z","title_canon_sha256":"3867b193e45b42511b6b36ffe274fd3e60d7aabaf56a59767a7b97a0178b3c00"},"schema_version":"1.0","source":{"id":"2407.10794","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.10794","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"arxiv_version","alias_value":"2407.10794v1","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.10794","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"pith_short_12","alias_value":"NK5JWO4PWSRE","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"pith_short_16","alias_value":"NK5JWO4PWSREKB5U","created_at":"2026-07-05T08:44:04Z"},{"alias_kind":"pith_short_8","alias_value":"NK5JWO4P","created_at":"2026-07-05T08:44:04Z"}],"graph_snapshots":[{"event_id":"sha256:6078a8e9667238b2f2d5e5866059d4e4ce2137cd93c7c3ce8a9edd8e212115a0","target":"graph","created_at":"2026-07-05T08:44:04Z","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/2407.10794/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge graphs (KGs) are crucial in the field of artificial intelligence and are widely applied in downstream tasks, such as enhancing Question Answering (QA) systems. The construction of KGs typically requires significant effort from domain experts. Recently, Large Language Models (LLMs) have been used for knowledge graph construction (KGC), however, most existing approaches focus on a local perspective, extracting knowledge triplets from individual sentences or documents. In this work, we introduce Graphusion, a zero-shot KGC framework from free text. The core fusion module provides a glob","authors_text":"Aosong Feng, Boming Yang, Freddy Lecue, Irene Li, Jinghui Lu, Rui Yang, Sixun Ouyang, Tianwei She, Yuang Jiang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T15:13:49Z","title":"Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.10794","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:b15f7d9cf7f87871dc78f71fd57090ae0134b11dfa341bcd33c1e8a9d93f6d27","target":"record","created_at":"2026-07-05T08:44:04Z","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":"b307ccbd4e9a6cd91b5dbd96d1132cff82d025f59c88dd90a1a0b340407b49fd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T15:13:49Z","title_canon_sha256":"3867b193e45b42511b6b36ffe274fd3e60d7aabaf56a59767a7b97a0178b3c00"},"schema_version":"1.0","source":{"id":"2407.10794","kind":"arxiv","version":1}},"canonical_sha256":"6aba9b3b8fb4a24507b4d1da4f6dad955d97fc354fe8d02d7f8d076429ca2d4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6aba9b3b8fb4a24507b4d1da4f6dad955d97fc354fe8d02d7f8d076429ca2d4f","first_computed_at":"2026-07-05T08:44:04.162224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:44:04.162224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PSUzFtZowjxibrPXj/VvMUj0ikH8PZ0v9b8JcqHYN8cUO0MjEqH2guHB993dF72z6mMl3jT86eGQXEGcVw32BA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:44:04.162715Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.10794","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b15f7d9cf7f87871dc78f71fd57090ae0134b11dfa341bcd33c1e8a9d93f6d27","sha256:6078a8e9667238b2f2d5e5866059d4e4ce2137cd93c7c3ce8a9edd8e212115a0"],"state_sha256":"08e17038bac22d08790239e854bc5b1cd9ebc7717862aeffe679482080ef9b28"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vjfUOykAU8zBH4wqCjwo8y1YfiYTKsfrI4pnkDeqM09QYKx76cwQaBCQn2HhJlwXx2C3BBs+/RTwGPGZUHPaCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:29:40.161579Z","bundle_sha256":"402b6ab0d52e42b1d90ba9150e411493b1a3f6b6445f37dce8ee405b2ac9a556"}}