{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:P6JDLBXRMPUUPUU67FT4TQMV5A","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":"895f718fe96e20f89ba8fe6cdef09d54a430ab23cd5275cedc157a5118c7ec5c","cross_cats_sorted":["cs.AI","cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-01-23T21:11:44Z","title_canon_sha256":"68c64625098e4c3e0f9861e23ba68aad397489da91f2706c1494fc9d10f2bec6"},"schema_version":"1.0","source":{"id":"2601.17178","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.17178","created_at":"2026-06-23T03:13:53Z"},{"alias_kind":"arxiv_version","alias_value":"2601.17178v2","created_at":"2026-06-23T03:13:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.17178","created_at":"2026-06-23T03:13:53Z"},{"alias_kind":"pith_short_12","alias_value":"P6JDLBXRMPUU","created_at":"2026-06-23T03:13:53Z"},{"alias_kind":"pith_short_16","alias_value":"P6JDLBXRMPUUPUU6","created_at":"2026-06-23T03:13:53Z"},{"alias_kind":"pith_short_8","alias_value":"P6JDLBXR","created_at":"2026-06-23T03:13:53Z"}],"graph_snapshots":[{"event_id":"sha256:bf4d2231a46708da61c14b13209268d75c25ff30597fd98b03279d94d02cda4b","target":"graph","created_at":"2026-06-23T03:13:53Z","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/2601.17178/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hardware Trojans (HTs) remain a critical threat because learning-based detectors often overfit to narrow trigger/payload patterns and small, stylized benchmarks. We introduce TrojanGYM, an agentic, LLM-driven framework that automatically curates HT insertions to expose detector blind spots while preserving design correctness. Given high-level HT specifications, a suite of cooperating LLM agents (instantiated with GPT-4, LLaMA-3.3-70B, and Gemini-2.5Pro) proposes and refines RTL modifications that realize diverse triggers and payloads without impacting normal functionality. TrojanGYM implements","authors_text":"Akashdeep Saha, Johann Knechtel, Minghao Shao, Muhammad Shafique, Ozgur Sinanoglu, Ramesh Karri, Saideep Sreekumar, Weihua Xiao, Zeng Wang","cross_cats":["cs.AI","cs.AR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-01-23T21:11:44Z","title":"TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan Insertion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.17178","kind":"arxiv","version":2},"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":"sha256:597f9bb5ba010378cdedda44013979bf346d5c0bea883740e10e0d93c144987f","target":"record","created_at":"2026-06-23T03:13:53Z","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":"895f718fe96e20f89ba8fe6cdef09d54a430ab23cd5275cedc157a5118c7ec5c","cross_cats_sorted":["cs.AI","cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-01-23T21:11:44Z","title_canon_sha256":"68c64625098e4c3e0f9861e23ba68aad397489da91f2706c1494fc9d10f2bec6"},"schema_version":"1.0","source":{"id":"2601.17178","kind":"arxiv","version":2}},"canonical_sha256":"7f923586f163e947d29ef967c9c195e807dd6dc785ab64dc8212b65beb86aa3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f923586f163e947d29ef967c9c195e807dd6dc785ab64dc8212b65beb86aa3d","first_computed_at":"2026-06-23T03:13:53.507008Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T03:13:53.507008Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"obMXKj7EVyPhH0spT92BWUYcsBXs2g72MxeqP/c0mpbRnVKWVVsGjbOkxNQcsUiVm3d+ub79QrhgIR3+LSskDA==","signature_status":"signed_v1","signed_at":"2026-06-23T03:13:53.507553Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.17178","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:597f9bb5ba010378cdedda44013979bf346d5c0bea883740e10e0d93c144987f","sha256:bf4d2231a46708da61c14b13209268d75c25ff30597fd98b03279d94d02cda4b"],"state_sha256":"5a89edc8043d53446b7dad2924b3bb3a0d4c4fb8136196f17ccdd836711d24c2"}