{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XDCQYWKMJUM2CLJQDO64GX2C2Y","short_pith_number":"pith:XDCQYWKM","canonical_record":{"source":{"id":"2410.05766","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-10-08T07:46:35Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"b401eb490f6cde40903c59f1b94f0ba631ee037d130b2db0e474b3dc77f2a068","abstract_canon_sha256":"9a7d1b14dceceae54698862da973acee41ac464d0f3cfc9692d594f31679d9d6"},"schema_version":"1.0"},"canonical_sha256":"b8c50c594c4d19a12d301bbdc35f42d635e4cd34890feac267cb3bceb861e630","source":{"kind":"arxiv","id":"2410.05766","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.05766","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"arxiv_version","alias_value":"2410.05766v1","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.05766","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"pith_short_12","alias_value":"XDCQYWKMJUM2","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"pith_short_16","alias_value":"XDCQYWKMJUM2CLJQ","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"pith_short_8","alias_value":"XDCQYWKM","created_at":"2026-07-05T09:17:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XDCQYWKMJUM2CLJQDO64GX2C2Y","target":"record","payload":{"canonical_record":{"source":{"id":"2410.05766","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-10-08T07:46:35Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"b401eb490f6cde40903c59f1b94f0ba631ee037d130b2db0e474b3dc77f2a068","abstract_canon_sha256":"9a7d1b14dceceae54698862da973acee41ac464d0f3cfc9692d594f31679d9d6"},"schema_version":"1.0"},"canonical_sha256":"b8c50c594c4d19a12d301bbdc35f42d635e4cd34890feac267cb3bceb861e630","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:17:24.445076Z","signature_b64":"AkyScSjHqNzwlofLu5pul2NvYDY2gmJgMzpwxObtERrhfJy56cqFdg0XUDp+OhRcR41tphOg12Wr2Y+FwoDgAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b8c50c594c4d19a12d301bbdc35f42d635e4cd34890feac267cb3bceb861e630","last_reissued_at":"2026-07-05T09:17:24.444603Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:17:24.444603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.05766","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":"2026-07-05T09:17:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qNIonD1SiAnZuFiSZkWsfMFqgJ+6uw4keZD22Po1JXSN543gfAoFsokRLNeEB5U/zLN0TEozD1baEx/6QpcJDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:24:04.773341Z"},"content_sha256":"d8cd605820e1696b462174cc9cc4d0795f83a58a20770f36839fa7e391927b69","schema_version":"1.0","event_id":"sha256:d8cd605820e1696b462174cc9cc4d0795f83a58a20770f36839fa7e391927b69"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XDCQYWKMJUM2CLJQDO64GX2C2Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.CR","authors_text":"Christoph Treude, Tiantian Wang, Xiaohong Su, Yuan Jiang, Yujian Zhang","submitted_at":"2024-10-08T07:46:35Z","abstract_excerpt":"The emergence of pre-trained model-based vulnerability detection methods has significantly advanced the field of automated vulnerability detection. However, these methods still face several challenges, such as difficulty in learning effective feature representations of statements for fine-grained predictions and struggling to process overly long code sequences. To address these issues, this study introduces StagedVulBERT, a novel vulnerability detection framework that leverages a pre-trained code language model and employs a coarse-to-fine strategy. The key innovation and contribution of our r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.05766","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/2410.05766/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":"2026-07-05T09:17:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"50Yn3AinE9m6OI+AmiFDvTl8T0dg//A9oltZU4jABaFvlHmWBwLmdhvoZxLewmY/UaS2UF0LUK5sCUNjQBqVDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:24:04.773714Z"},"content_sha256":"11bfc77c47f9a44b2f7ea4cf0aff3128716700ffeecf216dfd1440fa18582ea1","schema_version":"1.0","event_id":"sha256:11bfc77c47f9a44b2f7ea4cf0aff3128716700ffeecf216dfd1440fa18582ea1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XDCQYWKMJUM2CLJQDO64GX2C2Y/bundle.json","state_url":"https://pith.science/pith/XDCQYWKMJUM2CLJQDO64GX2C2Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XDCQYWKMJUM2CLJQDO64GX2C2Y/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":"2026-07-07T14:24:04Z","links":{"resolver":"https://pith.science/pith/XDCQYWKMJUM2CLJQDO64GX2C2Y","bundle":"https://pith.science/pith/XDCQYWKMJUM2CLJQDO64GX2C2Y/bundle.json","state":"https://pith.science/pith/XDCQYWKMJUM2CLJQDO64GX2C2Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XDCQYWKMJUM2CLJQDO64GX2C2Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XDCQYWKMJUM2CLJQDO64GX2C2Y","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":"9a7d1b14dceceae54698862da973acee41ac464d0f3cfc9692d594f31679d9d6","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-10-08T07:46:35Z","title_canon_sha256":"b401eb490f6cde40903c59f1b94f0ba631ee037d130b2db0e474b3dc77f2a068"},"schema_version":"1.0","source":{"id":"2410.05766","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.05766","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"arxiv_version","alias_value":"2410.05766v1","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.05766","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"pith_short_12","alias_value":"XDCQYWKMJUM2","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"pith_short_16","alias_value":"XDCQYWKMJUM2CLJQ","created_at":"2026-07-05T09:17:24Z"},{"alias_kind":"pith_short_8","alias_value":"XDCQYWKM","created_at":"2026-07-05T09:17:24Z"}],"graph_snapshots":[{"event_id":"sha256:11bfc77c47f9a44b2f7ea4cf0aff3128716700ffeecf216dfd1440fa18582ea1","target":"graph","created_at":"2026-07-05T09:17:24Z","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/2410.05766/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of pre-trained model-based vulnerability detection methods has significantly advanced the field of automated vulnerability detection. However, these methods still face several challenges, such as difficulty in learning effective feature representations of statements for fine-grained predictions and struggling to process overly long code sequences. To address these issues, this study introduces StagedVulBERT, a novel vulnerability detection framework that leverages a pre-trained code language model and employs a coarse-to-fine strategy. The key innovation and contribution of our r","authors_text":"Christoph Treude, Tiantian Wang, Xiaohong Su, Yuan Jiang, Yujian Zhang","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-10-08T07:46:35Z","title":"StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.05766","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:d8cd605820e1696b462174cc9cc4d0795f83a58a20770f36839fa7e391927b69","target":"record","created_at":"2026-07-05T09:17:24Z","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":"9a7d1b14dceceae54698862da973acee41ac464d0f3cfc9692d594f31679d9d6","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-10-08T07:46:35Z","title_canon_sha256":"b401eb490f6cde40903c59f1b94f0ba631ee037d130b2db0e474b3dc77f2a068"},"schema_version":"1.0","source":{"id":"2410.05766","kind":"arxiv","version":1}},"canonical_sha256":"b8c50c594c4d19a12d301bbdc35f42d635e4cd34890feac267cb3bceb861e630","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b8c50c594c4d19a12d301bbdc35f42d635e4cd34890feac267cb3bceb861e630","first_computed_at":"2026-07-05T09:17:24.444603Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:17:24.444603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AkyScSjHqNzwlofLu5pul2NvYDY2gmJgMzpwxObtERrhfJy56cqFdg0XUDp+OhRcR41tphOg12Wr2Y+FwoDgAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:17:24.445076Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.05766","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8cd605820e1696b462174cc9cc4d0795f83a58a20770f36839fa7e391927b69","sha256:11bfc77c47f9a44b2f7ea4cf0aff3128716700ffeecf216dfd1440fa18582ea1"],"state_sha256":"ed0273e98cfe9ec1fc08d1b494fa2e12e15bc9725f191897e4569c76e4addbea"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lmw3Dqb65fZx/BcY7mxT4BAKtMFb6Ct8jYjycqvKZkwHEqyFCKCuN9H6inFQKqA8GmqMn3hYs1tw3f2axGpVDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T14:24:04.775788Z","bundle_sha256":"6c8734d9625f7ae82412aa8b70aa30d923d0f811becfb413555438e65a131f75"}}