{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FUENUVMTYCYXYFGQBMW4JSDPTK","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":"f04e8011a1cc5395346b0887a82bdcf8f50b325bd25e94e2177a05bcb1e0fe28","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-07-29T11:32:23Z","title_canon_sha256":"d171acf09a54e0321b2a319708a59e827debf2646d7c05badd9af3be5e0c4d0a"},"schema_version":"1.0","source":{"id":"2607.26791","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.26791","created_at":"2026-07-30T01:22:20Z"},{"alias_kind":"arxiv_version","alias_value":"2607.26791v1","created_at":"2026-07-30T01:22:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.26791","created_at":"2026-07-30T01:22:20Z"},{"alias_kind":"pith_short_12","alias_value":"FUENUVMTYCYX","created_at":"2026-07-30T01:22:20Z"},{"alias_kind":"pith_short_16","alias_value":"FUENUVMTYCYXYFGQ","created_at":"2026-07-30T01:22:20Z"},{"alias_kind":"pith_short_8","alias_value":"FUENUVMT","created_at":"2026-07-30T01:22:20Z"}],"graph_snapshots":[{"event_id":"sha256:541efd123234de7f790beee0d1f506d1235e256c0c61e610997370e49929a4a7","target":"graph","created_at":"2026-07-30T01:22:20Z","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/2607.26791/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Model (LLM) agents are increasingly adopted in real-world security operations with access to host artifacts and command-line interfaces (CLIs), making it critical to thoroughly assess their security capabilities. However, existing cybersecurity benchmarks focus on pre-compromise settings where agents are placed in a clean and idealized environment before an attack occurs. This leaves the post-compromise setting underexplored. To address this gap, we introduce SecRespond, the first benchmark for evaluating LLM agents on the post-compromise incident-response workflow. Given a fore","authors_text":"Boli Chen, Jinwei Huang, Lehan Wang, Pengjun Xie, Ruixue Ding, Shuo Wang, Tao Lei, Xiaomeng Li, Xin Ouyang, Zhendong Liu","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-07-29T11:32:23Z","title":"SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.26791","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":"sha256:4c36a3ac17215e2a0b6f1760b19f32c27b47e75d70cc7ebedb404bb88095506f","target":"record","created_at":"2026-07-30T01:22:20Z","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":"f04e8011a1cc5395346b0887a82bdcf8f50b325bd25e94e2177a05bcb1e0fe28","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-07-29T11:32:23Z","title_canon_sha256":"d171acf09a54e0321b2a319708a59e827debf2646d7c05badd9af3be5e0c4d0a"},"schema_version":"1.0","source":{"id":"2607.26791","kind":"arxiv","version":1}},"canonical_sha256":"2d08da5593c0b17c14d00b2dc4c86f9aacfee65fe75a551e2642e459a502c5c9","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d08da5593c0b17c14d00b2dc4c86f9aacfee65fe75a551e2642e459a502c5c9","first_computed_at":"2026-07-30T01:22:20.156448Z","kind":"pith_receipt","last_reissued_at":"2026-07-30T01:22:20.156448Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.26791","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c36a3ac17215e2a0b6f1760b19f32c27b47e75d70cc7ebedb404bb88095506f","sha256:541efd123234de7f790beee0d1f506d1235e256c0c61e610997370e49929a4a7"],"state_sha256":"442ba93b852279c40cd46c18a51239c9627febe1e9239b6f32bc7a3263d19edb"}