{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VNBMQQPWAETPMLMNR34JRPR3X6","short_pith_number":"pith:VNBMQQPW","canonical_record":{"source":{"id":"2507.22371","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-07-30T04:28:00Z","cross_cats_sorted":["cs.AI","cs.SE"],"title_canon_sha256":"1fde86d5d2174f71739a68b40e29c177b886e3ccd6899998de4fd3701d397de8","abstract_canon_sha256":"a7d2b055f2c800c6e768d084e0699d5e5b57a9ff356662a786c589144deb310d"},"schema_version":"1.0"},"canonical_sha256":"ab42c841f60126f62d8d8ef898be3bbf853075afe8384ff11480c0681d63f8df","source":{"kind":"arxiv","id":"2507.22371","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22371","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22371v1","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22371","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"pith_short_12","alias_value":"VNBMQQPWAETP","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"pith_short_16","alias_value":"VNBMQQPWAETPMLMN","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"pith_short_8","alias_value":"VNBMQQPW","created_at":"2026-07-05T11:45:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VNBMQQPWAETPMLMNR34JRPR3X6","target":"record","payload":{"canonical_record":{"source":{"id":"2507.22371","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-07-30T04:28:00Z","cross_cats_sorted":["cs.AI","cs.SE"],"title_canon_sha256":"1fde86d5d2174f71739a68b40e29c177b886e3ccd6899998de4fd3701d397de8","abstract_canon_sha256":"a7d2b055f2c800c6e768d084e0699d5e5b57a9ff356662a786c589144deb310d"},"schema_version":"1.0"},"canonical_sha256":"ab42c841f60126f62d8d8ef898be3bbf853075afe8384ff11480c0681d63f8df","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:45:40.410728Z","signature_b64":"pdBzNEkaIMsu2dewM40uvR5S4j6c7UU6utWMiRQlVsmcFFUHr+gy+EDX4KZm5jq+yhWyTFjqhslJ45tWMNakBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ab42c841f60126f62d8d8ef898be3bbf853075afe8384ff11480c0681d63f8df","last_reissued_at":"2026-07-05T11:45:40.410250Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:45:40.410250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.22371","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":"2026-07-05T11:45:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vUqhtatXAlSzaMMEkRStn9mZjPYadt0U/TiSY2GW7ddPVDaNrXrEcNCaKL1G7geyPrV5pZjuJxYSCQTe03sVBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:17:38.077329Z"},"content_sha256":"084dcebc26735fc047bf5edeb263dd4344bc8e370ae4b13ecdbaa9c0e3f9bbd0","schema_version":"1.0","event_id":"sha256:084dcebc26735fc047bf5edeb263dd4344bc8e370ae4b13ecdbaa9c0e3f9bbd0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VNBMQQPWAETPMLMNR34JRPR3X6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.SE"],"primary_cat":"cs.CR","authors_text":"Chenjie Shen, Fengjun Zhang, Jiajia Ma, Jingyuan Zhang, Junyi Lu, Lei Yu, Li Yang, Shiqi Cheng, Zhirong Huang","submitted_at":"2025-07-30T04:28:00Z","abstract_excerpt":"With the increasing security issues in blockchain, smart contract vulnerability detection has become a research focus. Existing vulnerability detection methods have their limitations: 1) Static analysis methods struggle with complex scenarios. 2) Methods based on specialized pre-trained models perform well on specific datasets but have limited generalization capabilities. In contrast, general-purpose Large Language Models (LLMs) demonstrate impressive ability in adapting to new vulnerability patterns. However, they often underperform on specific vulnerability types compared to methods based on"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22371","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/2507.22371/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":"2026-07-05T11:45:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2MI3+RaBLfgwmBpfWjWekoafCwROtYy2Wdh3gf+biKzhpFlzYJqluqRby9xfmixJoBbAdyXc9uA9UvJDv9wbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:17:38.077873Z"},"content_sha256":"1c46c2e663e37a175b5479ac64bb782356c188aa9b30263c4ecf493565f1b11a","schema_version":"1.0","event_id":"sha256:1c46c2e663e37a175b5479ac64bb782356c188aa9b30263c4ecf493565f1b11a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VNBMQQPWAETPMLMNR34JRPR3X6/bundle.json","state_url":"https://pith.science/pith/VNBMQQPWAETPMLMNR34JRPR3X6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VNBMQQPWAETPMLMNR34JRPR3X6/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":"2026-08-07T19:17:38Z","links":{"resolver":"https://pith.science/pith/VNBMQQPWAETPMLMNR34JRPR3X6","bundle":"https://pith.science/pith/VNBMQQPWAETPMLMNR34JRPR3X6/bundle.json","state":"https://pith.science/pith/VNBMQQPWAETPMLMNR34JRPR3X6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VNBMQQPWAETPMLMNR34JRPR3X6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VNBMQQPWAETPMLMNR34JRPR3X6","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":"a7d2b055f2c800c6e768d084e0699d5e5b57a9ff356662a786c589144deb310d","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-07-30T04:28:00Z","title_canon_sha256":"1fde86d5d2174f71739a68b40e29c177b886e3ccd6899998de4fd3701d397de8"},"schema_version":"1.0","source":{"id":"2507.22371","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22371","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22371v1","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22371","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"pith_short_12","alias_value":"VNBMQQPWAETP","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"pith_short_16","alias_value":"VNBMQQPWAETPMLMN","created_at":"2026-07-05T11:45:40Z"},{"alias_kind":"pith_short_8","alias_value":"VNBMQQPW","created_at":"2026-07-05T11:45:40Z"}],"graph_snapshots":[{"event_id":"sha256:1c46c2e663e37a175b5479ac64bb782356c188aa9b30263c4ecf493565f1b11a","target":"graph","created_at":"2026-07-05T11:45:40Z","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/2507.22371/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the increasing security issues in blockchain, smart contract vulnerability detection has become a research focus. Existing vulnerability detection methods have their limitations: 1) Static analysis methods struggle with complex scenarios. 2) Methods based on specialized pre-trained models perform well on specific datasets but have limited generalization capabilities. In contrast, general-purpose Large Language Models (LLMs) demonstrate impressive ability in adapting to new vulnerability patterns. However, they often underperform on specific vulnerability types compared to methods based on","authors_text":"Chenjie Shen, Fengjun Zhang, Jiajia Ma, Jingyuan Zhang, Junyi Lu, Lei Yu, Li Yang, Shiqi Cheng, Zhirong Huang","cross_cats":["cs.AI","cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-07-30T04:28:00Z","title":"SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22371","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":"sha256:084dcebc26735fc047bf5edeb263dd4344bc8e370ae4b13ecdbaa9c0e3f9bbd0","target":"record","created_at":"2026-07-05T11:45:40Z","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":"a7d2b055f2c800c6e768d084e0699d5e5b57a9ff356662a786c589144deb310d","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-07-30T04:28:00Z","title_canon_sha256":"1fde86d5d2174f71739a68b40e29c177b886e3ccd6899998de4fd3701d397de8"},"schema_version":"1.0","source":{"id":"2507.22371","kind":"arxiv","version":1}},"canonical_sha256":"ab42c841f60126f62d8d8ef898be3bbf853075afe8384ff11480c0681d63f8df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ab42c841f60126f62d8d8ef898be3bbf853075afe8384ff11480c0681d63f8df","first_computed_at":"2026-07-05T11:45:40.410250Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:45:40.410250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pdBzNEkaIMsu2dewM40uvR5S4j6c7UU6utWMiRQlVsmcFFUHr+gy+EDX4KZm5jq+yhWyTFjqhslJ45tWMNakBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:45:40.410728Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.22371","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:084dcebc26735fc047bf5edeb263dd4344bc8e370ae4b13ecdbaa9c0e3f9bbd0","sha256:1c46c2e663e37a175b5479ac64bb782356c188aa9b30263c4ecf493565f1b11a"],"state_sha256":"12f64e4331ab2dc1158e903fb3359c696e316472f74709d739da560822db502e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M9cQhIFNDhIeR3qsWMjjP2muQc8ejXyLtu3CAOoi4uuQF8jea+0VPMSOlWsOAW0KY6yoUlWaTo9IA5V4p2oaDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T19:17:38.083069Z","bundle_sha256":"3a86da6ef5d66e3d088c7e3836952d1e9b901d8502de61db17153a07bcaed296"}}