{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:PSIO4FEHIIFA2RWYNRN7SV5VUU","short_pith_number":"pith:PSIO4FEH","canonical_record":{"source":{"id":"2303.09999","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2023-03-17T14:20:34Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"5acc3dc72479f366e7349a61178e1e8317d69b3dd4b7f1ecbdf1af5d22a1ce92","abstract_canon_sha256":"28b71412eea5c2e67c2275df9eaece520a614b6b0ece9fb877734a1b8d0c2e48"},"schema_version":"1.0"},"canonical_sha256":"7c90ee1487420a0d46d86c5bf957b5a5173a0043f1445c05b44ad454a6411777","source":{"kind":"arxiv","id":"2303.09999","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.09999","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"arxiv_version","alias_value":"2303.09999v2","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.09999","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"pith_short_12","alias_value":"PSIO4FEHIIFA","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"pith_short_16","alias_value":"PSIO4FEHIIFA2RWY","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"pith_short_8","alias_value":"PSIO4FEH","created_at":"2026-07-05T06:48:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:PSIO4FEHIIFA2RWYNRN7SV5VUU","target":"record","payload":{"canonical_record":{"source":{"id":"2303.09999","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2023-03-17T14:20:34Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"5acc3dc72479f366e7349a61178e1e8317d69b3dd4b7f1ecbdf1af5d22a1ce92","abstract_canon_sha256":"28b71412eea5c2e67c2275df9eaece520a614b6b0ece9fb877734a1b8d0c2e48"},"schema_version":"1.0"},"canonical_sha256":"7c90ee1487420a0d46d86c5bf957b5a5173a0043f1445c05b44ad454a6411777","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:48:47.700026Z","signature_b64":"UOo+4rPgH9ZGqujHNwYsWkRn2ZNdWYDXtrF3nJpuZRfDd71z540o61VQIfOW01GyJZDDANk6UOzCY6nKZC8iAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c90ee1487420a0d46d86c5bf957b5a5173a0043f1445c05b44ad454a6411777","last_reissued_at":"2026-07-05T06:48:47.699482Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:48:47.699482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.09999","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:48:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nmihQNYGTT3I0oAiYjnZys1evNmrsFrDIa7Z+2iVgPxCkNHNvy5ybphkPpnXoaup/TG/C0/Up7TV8n51rFSXBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T22:24:15.902989Z"},"content_sha256":"e6ff0aa22b4a8efe69a8fb491e00cd70ff403e810f0bf2b2a964f341bf710099","schema_version":"1.0","event_id":"sha256:e6ff0aa22b4a8efe69a8fb491e00cd70ff403e810f0bf2b2a964f341bf710099"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:PSIO4FEHIIFA2RWYNRN7SV5VUU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.IR","authors_text":"Francesco Marchiori, Mauro Conti, Nino Vincenzo Verde","submitted_at":"2023-03-17T14:20:34Z","abstract_excerpt":"The automatic extraction of information from Cyber Threat Intelligence (CTI) reports is crucial in risk management. The increased frequency of the publications of these reports has led researchers to develop new systems for automatically recovering different types of entities and relations from textual data. Most state-of-the-art models leverage Natural Language Processing (NLP) techniques, which perform greatly in extracting a few types of entities at a time but cannot detect heterogeneous data or their relations. Furthermore, several paradigms, such as STIX, have become de facto standards in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.09999","kind":"arxiv","version":2},"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/2303.09999/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":"2026-07-05T06:48:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Amip3Ki/kMuBJd1wJ1Um7ikc0N2TTwIm4pXPzTZ4d3I2FiSE5XUlLNVzVwPLE/5E8vych147Rg28vRO8ToBDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T22:24:15.903521Z"},"content_sha256":"41bfb86c49a08eaa22c66e1c65970f4b8908ef683d51fb62d360f29b086c1efc","schema_version":"1.0","event_id":"sha256:41bfb86c49a08eaa22c66e1c65970f4b8908ef683d51fb62d360f29b086c1efc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PSIO4FEHIIFA2RWYNRN7SV5VUU/bundle.json","state_url":"https://pith.science/pith/PSIO4FEHIIFA2RWYNRN7SV5VUU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PSIO4FEHIIFA2RWYNRN7SV5VUU/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":"2026-08-16T22:24:15Z","links":{"resolver":"https://pith.science/pith/PSIO4FEHIIFA2RWYNRN7SV5VUU","bundle":"https://pith.science/pith/PSIO4FEHIIFA2RWYNRN7SV5VUU/bundle.json","state":"https://pith.science/pith/PSIO4FEHIIFA2RWYNRN7SV5VUU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PSIO4FEHIIFA2RWYNRN7SV5VUU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PSIO4FEHIIFA2RWYNRN7SV5VUU","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":"28b71412eea5c2e67c2275df9eaece520a614b6b0ece9fb877734a1b8d0c2e48","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2023-03-17T14:20:34Z","title_canon_sha256":"5acc3dc72479f366e7349a61178e1e8317d69b3dd4b7f1ecbdf1af5d22a1ce92"},"schema_version":"1.0","source":{"id":"2303.09999","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.09999","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"arxiv_version","alias_value":"2303.09999v2","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.09999","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"pith_short_12","alias_value":"PSIO4FEHIIFA","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"pith_short_16","alias_value":"PSIO4FEHIIFA2RWY","created_at":"2026-07-05T06:48:47Z"},{"alias_kind":"pith_short_8","alias_value":"PSIO4FEH","created_at":"2026-07-05T06:48:47Z"}],"graph_snapshots":[{"event_id":"sha256:41bfb86c49a08eaa22c66e1c65970f4b8908ef683d51fb62d360f29b086c1efc","target":"graph","created_at":"2026-07-05T06:48:47Z","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/2303.09999/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The automatic extraction of information from Cyber Threat Intelligence (CTI) reports is crucial in risk management. The increased frequency of the publications of these reports has led researchers to develop new systems for automatically recovering different types of entities and relations from textual data. Most state-of-the-art models leverage Natural Language Processing (NLP) techniques, which perform greatly in extracting a few types of entities at a time but cannot detect heterogeneous data or their relations. Furthermore, several paradigms, such as STIX, have become de facto standards in","authors_text":"Francesco Marchiori, Mauro Conti, Nino Vincenzo Verde","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2023-03-17T14:20:34Z","title":"STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.09999","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:e6ff0aa22b4a8efe69a8fb491e00cd70ff403e810f0bf2b2a964f341bf710099","target":"record","created_at":"2026-07-05T06:48:47Z","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":"28b71412eea5c2e67c2275df9eaece520a614b6b0ece9fb877734a1b8d0c2e48","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2023-03-17T14:20:34Z","title_canon_sha256":"5acc3dc72479f366e7349a61178e1e8317d69b3dd4b7f1ecbdf1af5d22a1ce92"},"schema_version":"1.0","source":{"id":"2303.09999","kind":"arxiv","version":2}},"canonical_sha256":"7c90ee1487420a0d46d86c5bf957b5a5173a0043f1445c05b44ad454a6411777","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c90ee1487420a0d46d86c5bf957b5a5173a0043f1445c05b44ad454a6411777","first_computed_at":"2026-07-05T06:48:47.699482Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:48:47.699482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UOo+4rPgH9ZGqujHNwYsWkRn2ZNdWYDXtrF3nJpuZRfDd71z540o61VQIfOW01GyJZDDANk6UOzCY6nKZC8iAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:48:47.700026Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.09999","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6ff0aa22b4a8efe69a8fb491e00cd70ff403e810f0bf2b2a964f341bf710099","sha256:41bfb86c49a08eaa22c66e1c65970f4b8908ef683d51fb62d360f29b086c1efc"],"state_sha256":"217c1fce6fe4f62195b52b918efdb676b4d43248a46d44620eda52474448dd5f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PxMGy8Go076U8cExOhNjYSnSGabEWj8MFVo5vRJ/M+3bhrbkwIoO2T+JMeoklWha3Abu56UkgrCf7ij9cPJ5Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T22:24:15.907407Z","bundle_sha256":"f7648bda667f40415c7f48544d1efb836e9869015ae318c132e40d561d0f912a"}}