{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LQW7MOI7GEH6PPWXV27TCW2ANA","short_pith_number":"pith:LQW7MOI7","canonical_record":{"source":{"id":"2504.12545","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2025-04-17T00:13:04Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"1958a30d69c5e12baf21dc29d9e6f48a6fae149b1ddce7b803032ede0e0e5c43","abstract_canon_sha256":"5891761568bf75c4549b241acdfdacc8cb02db3e3cddcee6915d22e1cbccb2a5"},"schema_version":"1.0"},"canonical_sha256":"5c2df6391f310fe7bed7aebf315b406814355f734c686887c3499f417ae1ca95","source":{"kind":"arxiv","id":"2504.12545","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.12545","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"arxiv_version","alias_value":"2504.12545v1","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.12545","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"pith_short_12","alias_value":"LQW7MOI7GEH6","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"pith_short_16","alias_value":"LQW7MOI7GEH6PPWX","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"pith_short_8","alias_value":"LQW7MOI7","created_at":"2026-07-05T10:50:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LQW7MOI7GEH6PPWXV27TCW2ANA","target":"record","payload":{"canonical_record":{"source":{"id":"2504.12545","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2025-04-17T00:13:04Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"1958a30d69c5e12baf21dc29d9e6f48a6fae149b1ddce7b803032ede0e0e5c43","abstract_canon_sha256":"5891761568bf75c4549b241acdfdacc8cb02db3e3cddcee6915d22e1cbccb2a5"},"schema_version":"1.0"},"canonical_sha256":"5c2df6391f310fe7bed7aebf315b406814355f734c686887c3499f417ae1ca95","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:50:18.154172Z","signature_b64":"t9fvAjTXNFU72r+2ipVFGxinCCXu3t54bicAmNhMX4T1OfrY1uBCPbt/H5eE9lwHz9qJzDrqiI0v1wVinU21Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c2df6391f310fe7bed7aebf315b406814355f734c686887c3499f417ae1ca95","last_reissued_at":"2026-07-05T10:50:18.153642Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:50:18.153642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.12545","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":"2026-07-05T10:50:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZjvyESa6fEQZEsyHoM4fBtCWO/SHxfqirrvfNmiEKvHvHABjzwjHgh3JMR8v+smbB5mQH5sKGlSGcgxZgoOhCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:29:40.088527Z"},"content_sha256":"bed607d4eaa4b2fb5318ac1a58526a725dba5112a5c9bf5f0d8b610af93cbe5c","schema_version":"1.0","event_id":"sha256:bed607d4eaa4b2fb5318ac1a58526a725dba5112a5c9bf5f0d8b610af93cbe5c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LQW7MOI7GEH6PPWXV27TCW2ANA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CY","authors_text":"Afsana Nasrin, Benign John Ihugba, Lijun Qian, Ling Wu, Lin Li, Xishuang Dong","submitted_at":"2025-04-17T00:13:04Z","abstract_excerpt":"Mass-shooting events pose a significant challenge to public safety, generating large volumes of unstructured textual data that hinder effective investigations and the formulation of public policy. Despite the urgency, few prior studies have effectively automated the extraction of key information from these events to support legal and investigative efforts. This paper presented the first dataset designed for knowledge acquisition on mass-shooting events through the application of named entity recognition (NER) techniques. It focuses on identifying key entities such as offenders, victims, locati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.12545","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/2504.12545/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":"2026-07-05T10:50:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nGydW3XEMgxwGwq0lihyPeOSJSv67xEEXFHzGmyb9T6thwJJ3+nT5eI6eDxRCC5+andCnBwmkd0wPpv0q5d0CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:29:40.089036Z"},"content_sha256":"28808ce4e9dff9a27d96abedeaee3cf88c4785779f5b0660a7355d3412012eaa","schema_version":"1.0","event_id":"sha256:28808ce4e9dff9a27d96abedeaee3cf88c4785779f5b0660a7355d3412012eaa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LQW7MOI7GEH6PPWXV27TCW2ANA/bundle.json","state_url":"https://pith.science/pith/LQW7MOI7GEH6PPWXV27TCW2ANA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LQW7MOI7GEH6PPWXV27TCW2ANA/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":"2026-08-10T23:29:40Z","links":{"resolver":"https://pith.science/pith/LQW7MOI7GEH6PPWXV27TCW2ANA","bundle":"https://pith.science/pith/LQW7MOI7GEH6PPWXV27TCW2ANA/bundle.json","state":"https://pith.science/pith/LQW7MOI7GEH6PPWXV27TCW2ANA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LQW7MOI7GEH6PPWXV27TCW2ANA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LQW7MOI7GEH6PPWXV27TCW2ANA","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":"5891761568bf75c4549b241acdfdacc8cb02db3e3cddcee6915d22e1cbccb2a5","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2025-04-17T00:13:04Z","title_canon_sha256":"1958a30d69c5e12baf21dc29d9e6f48a6fae149b1ddce7b803032ede0e0e5c43"},"schema_version":"1.0","source":{"id":"2504.12545","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.12545","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"arxiv_version","alias_value":"2504.12545v1","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.12545","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"pith_short_12","alias_value":"LQW7MOI7GEH6","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"pith_short_16","alias_value":"LQW7MOI7GEH6PPWX","created_at":"2026-07-05T10:50:18Z"},{"alias_kind":"pith_short_8","alias_value":"LQW7MOI7","created_at":"2026-07-05T10:50:18Z"}],"graph_snapshots":[{"event_id":"sha256:28808ce4e9dff9a27d96abedeaee3cf88c4785779f5b0660a7355d3412012eaa","target":"graph","created_at":"2026-07-05T10:50:18Z","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/2504.12545/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mass-shooting events pose a significant challenge to public safety, generating large volumes of unstructured textual data that hinder effective investigations and the formulation of public policy. Despite the urgency, few prior studies have effectively automated the extraction of key information from these events to support legal and investigative efforts. This paper presented the first dataset designed for knowledge acquisition on mass-shooting events through the application of named entity recognition (NER) techniques. It focuses on identifying key entities such as offenders, victims, locati","authors_text":"Afsana Nasrin, Benign John Ihugba, Lijun Qian, Ling Wu, Lin Li, Xishuang Dong","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2025-04-17T00:13:04Z","title":"Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.12545","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:bed607d4eaa4b2fb5318ac1a58526a725dba5112a5c9bf5f0d8b610af93cbe5c","target":"record","created_at":"2026-07-05T10:50:18Z","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":"5891761568bf75c4549b241acdfdacc8cb02db3e3cddcee6915d22e1cbccb2a5","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2025-04-17T00:13:04Z","title_canon_sha256":"1958a30d69c5e12baf21dc29d9e6f48a6fae149b1ddce7b803032ede0e0e5c43"},"schema_version":"1.0","source":{"id":"2504.12545","kind":"arxiv","version":1}},"canonical_sha256":"5c2df6391f310fe7bed7aebf315b406814355f734c686887c3499f417ae1ca95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c2df6391f310fe7bed7aebf315b406814355f734c686887c3499f417ae1ca95","first_computed_at":"2026-07-05T10:50:18.153642Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:18.153642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t9fvAjTXNFU72r+2ipVFGxinCCXu3t54bicAmNhMX4T1OfrY1uBCPbt/H5eE9lwHz9qJzDrqiI0v1wVinU21Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:18.154172Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.12545","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bed607d4eaa4b2fb5318ac1a58526a725dba5112a5c9bf5f0d8b610af93cbe5c","sha256:28808ce4e9dff9a27d96abedeaee3cf88c4785779f5b0660a7355d3412012eaa"],"state_sha256":"577da7c6b978e0e5b787a352c54effbdc815519e3cc80acd9cde5762ce89403e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z59iHYfm/ryeilVwe2CbQoW/+vG+8plLQHs+dot+pyo5O1XN8XJOfuuR4OGTo4ZzM96iRS2eJCYJGNYXj24oCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T23:29:40.092640Z","bundle_sha256":"eb73fa1a319088eca28cd960a2265cc4119e938ca64a1c8926a8c7afe3e508da"}}