{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:XWX4T45K3MITRZQIXXHMD3CHCV","short_pith_number":"pith:XWX4T45K","schema_version":"1.0","canonical_sha256":"bdafc9f3aadb1138e608bdcec1ec471540011d8e3a5234fa18d86d161a5b9fcb","source":{"kind":"arxiv","id":"2606.17398","version":1},"attestation_state":"computed","paper":{"title":"SoK: AI-Augmented Binary Reversing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.SE"],"primary_cat":"cs.CR","authors_text":"Dokyung Song, Hyungjoon Koo, Kexin Pei, Shakhzod Yuldoshkhujaev, Yiyue Zhang, Yujeong Kwon","submitted_at":"2026-06-16T01:14:49Z","abstract_excerpt":"Binary reversing is fundamental to software understanding, vulnerability discovery, malware investigation, and firmware auditing. However, it remains inherently challenging due to the irreversible loss of semantic information during compilation. Recent advances in machine learning, large language models (LLMs), and agentic AI systems have accelerated the adoption of AI-augmented binary reversing. Yet, the resulting body of work has become increasingly fragmented across reversing domains, artifact representations, learning approaches, and evaluation practices. This paper presents the first comp"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.17398","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2026-06-16T01:14:49Z","cross_cats_sorted":["cs.AI","cs.SE"],"title_canon_sha256":"198c3d52b30b8930722283afd3aebbd3d727b79265ef1a05321b40c6874c51f9","abstract_canon_sha256":"1668ef787fe05ddabef0821c6ae7b178aa4dc7d4b4797ca018d47a7c46b8fe0a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:11.868944Z","signature_b64":"LyQmCdu2d56RLJhDXcW3UiQeMcIOOGQy8iJum7l1HSG7bl6E4iT0Oz6gf8kliYXrn9GKz/BpRRgZJDEKpOgXCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bdafc9f3aadb1138e608bdcec1ec471540011d8e3a5234fa18d86d161a5b9fcb","last_reissued_at":"2026-06-19T16:10:11.868604Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:11.868604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SoK: AI-Augmented Binary Reversing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.SE"],"primary_cat":"cs.CR","authors_text":"Dokyung Song, Hyungjoon Koo, Kexin Pei, Shakhzod Yuldoshkhujaev, Yiyue Zhang, Yujeong Kwon","submitted_at":"2026-06-16T01:14:49Z","abstract_excerpt":"Binary reversing is fundamental to software understanding, vulnerability discovery, malware investigation, and firmware auditing. However, it remains inherently challenging due to the irreversible loss of semantic information during compilation. Recent advances in machine learning, large language models (LLMs), and agentic AI systems have accelerated the adoption of AI-augmented binary reversing. Yet, the resulting body of work has become increasingly fragmented across reversing domains, artifact representations, learning approaches, and evaluation practices. This paper presents the first comp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17398","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/2606.17398/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.17398","created_at":"2026-06-19T16:10:11.868659+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.17398v1","created_at":"2026-06-19T16:10:11.868659+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17398","created_at":"2026-06-19T16:10:11.868659+00:00"},{"alias_kind":"pith_short_12","alias_value":"XWX4T45K3MIT","created_at":"2026-06-19T16:10:11.868659+00:00"},{"alias_kind":"pith_short_16","alias_value":"XWX4T45K3MITRZQI","created_at":"2026-06-19T16:10:11.868659+00:00"},{"alias_kind":"pith_short_8","alias_value":"XWX4T45K","created_at":"2026-06-19T16:10:11.868659+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XWX4T45K3MITRZQIXXHMD3CHCV","json":"https://pith.science/pith/XWX4T45K3MITRZQIXXHMD3CHCV.json","graph_json":"https://pith.science/api/pith-number/XWX4T45K3MITRZQIXXHMD3CHCV/graph.json","events_json":"https://pith.science/api/pith-number/XWX4T45K3MITRZQIXXHMD3CHCV/events.json","paper":"https://pith.science/paper/XWX4T45K"},"agent_actions":{"view_html":"https://pith.science/pith/XWX4T45K3MITRZQIXXHMD3CHCV","download_json":"https://pith.science/pith/XWX4T45K3MITRZQIXXHMD3CHCV.json","view_paper":"https://pith.science/paper/XWX4T45K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.17398&json=true","fetch_graph":"https://pith.science/api/pith-number/XWX4T45K3MITRZQIXXHMD3CHCV/graph.json","fetch_events":"https://pith.science/api/pith-number/XWX4T45K3MITRZQIXXHMD3CHCV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XWX4T45K3MITRZQIXXHMD3CHCV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XWX4T45K3MITRZQIXXHMD3CHCV/action/storage_attestation","attest_author":"https://pith.science/pith/XWX4T45K3MITRZQIXXHMD3CHCV/action/author_attestation","sign_citation":"https://pith.science/pith/XWX4T45K3MITRZQIXXHMD3CHCV/action/citation_signature","submit_replication":"https://pith.science/pith/XWX4T45K3MITRZQIXXHMD3CHCV/action/replication_record"}},"created_at":"2026-06-19T16:10:11.868659+00:00","updated_at":"2026-06-19T16:10:11.868659+00:00"}