{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DGVAMAMHBHNJJ2DMG32LKLULHO","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":"7083329f234aeb33a4e8641c29a3f086db55111bbdd05af89c8aeee94557aeef","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T06:27:27Z","title_canon_sha256":"c303fababe8b3cb96d1847acb1b948240921511f886086594f583868741f6a7d"},"schema_version":"1.0","source":{"id":"2607.01764","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01764","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01764v1","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01764","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"pith_short_12","alias_value":"DGVAMAMHBHNJ","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"pith_short_16","alias_value":"DGVAMAMHBHNJJ2DM","created_at":"2026-07-03T01:17:28Z"},{"alias_kind":"pith_short_8","alias_value":"DGVAMAMH","created_at":"2026-07-03T01:17:28Z"}],"graph_snapshots":[{"event_id":"sha256:ea68df094ba7ec0f489a313dc842103f0062f655b9d24e35a6984abb7e4150eb","target":"graph","created_at":"2026-07-03T01:17:28Z","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/2607.01764/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Repository-level vulnerability reproduction is a demanding software engineering (SE) task: an agent must inspect a codebase, infer the input grammar that reaches a vulnerable path, construct a proof-of-conceptv(PoC), and verify that the crash disappears on the patched build. Recent LLM agents can often execute these steps when the approach is correct, yet they still fail by choosing the wrong strategy. This paper argues that strategy, rather than the full action trajectory, is the right learning unit for such SE agents: it is compact enough to optimize, concrete enough to guide execution, and ","authors_text":"Dong Huang, Luu Anh Tuan, Mingzhe Du, Renyang Liu, See-kiong Ng, Tianyi Wu, Zhijiang Guo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T06:27:27Z","title":"Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01764","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":"sha256:28bf5d7e9b263fdc0977454f7d8aa0db10eb525b0f550504a8e71f8a5e028595","target":"record","created_at":"2026-07-03T01:17:28Z","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":"7083329f234aeb33a4e8641c29a3f086db55111bbdd05af89c8aeee94557aeef","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T06:27:27Z","title_canon_sha256":"c303fababe8b3cb96d1847acb1b948240921511f886086594f583868741f6a7d"},"schema_version":"1.0","source":{"id":"2607.01764","kind":"arxiv","version":1}},"canonical_sha256":"19aa06018709da94e86c36f4b52e8b3bb8f7d6f80bb8b9ac9e6e816b87109795","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19aa06018709da94e86c36f4b52e8b3bb8f7d6f80bb8b9ac9e6e816b87109795","first_computed_at":"2026-07-03T01:17:28.855909Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:28.855909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KioAhuvF6nxvbCE39x3g97n3PsfewlvZ2+vMXbJFMJZ5DjdeJnJFvzMfClPlFY8y1cNHaMNaTibXfR3zqJm4DA==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:28.856356Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01764","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:28bf5d7e9b263fdc0977454f7d8aa0db10eb525b0f550504a8e71f8a5e028595","sha256:ea68df094ba7ec0f489a313dc842103f0062f655b9d24e35a6984abb7e4150eb"],"state_sha256":"f8565d2dbcaef67f1833b9d4fa9f07cfdc16ae53b8baff7353444614ba66c010"}