{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PMTSRNFZHY7ZY6EF2G4SECS2LF","short_pith_number":"pith:PMTSRNFZ","canonical_record":{"source":{"id":"2505.17147","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-22T08:22:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6c2c9198ac2af62bfea04fbff76c5bdcf923973e3bcea206782edef89ba109d9","abstract_canon_sha256":"4b1522d48a4c019bfb4aff6a2ad7b6602bcb7d3503c7d32fdac1bc23daceb47b"},"schema_version":"1.0"},"canonical_sha256":"7b2728b4b93e3f9c7885d1b9220a5a594fbc854525d5f79450e9b21698dfed56","source":{"kind":"arxiv","id":"2505.17147","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17147","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17147v1","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17147","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_12","alias_value":"PMTSRNFZHY7Z","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_16","alias_value":"PMTSRNFZHY7ZY6EF","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_8","alias_value":"PMTSRNFZ","created_at":"2026-07-05T11:07:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PMTSRNFZHY7ZY6EF2G4SECS2LF","target":"record","payload":{"canonical_record":{"source":{"id":"2505.17147","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-22T08:22:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6c2c9198ac2af62bfea04fbff76c5bdcf923973e3bcea206782edef89ba109d9","abstract_canon_sha256":"4b1522d48a4c019bfb4aff6a2ad7b6602bcb7d3503c7d32fdac1bc23daceb47b"},"schema_version":"1.0"},"canonical_sha256":"7b2728b4b93e3f9c7885d1b9220a5a594fbc854525d5f79450e9b21698dfed56","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:47.831273Z","signature_b64":"Iug/tF0tnCi9Ky2bPxb2Knth/gP224sEswXJvKh30k1HF6xedC9znTc43W+0BREDSvycMUY8mCVOYBIOabvPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b2728b4b93e3f9c7885d1b9220a5a594fbc854525d5f79450e9b21698dfed56","last_reissued_at":"2026-07-05T11:07:47.830794Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:47.830794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.17147","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":"2026-07-05T11:07:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hD2amBRkEPypvl1jfRSrUhKXBaSzkmvq4jN5uRdZbtEflxKsFykJef5oujFtTcB9nxgbnHphen7TfOM1hhT2BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:25:36.055410Z"},"content_sha256":"25062b1af8a478d47e11ab48870917cf3cc0dce0d00feab5164f905d459535a9","schema_version":"1.0","event_id":"sha256:25062b1af8a478d47e11ab48870917cf3cc0dce0d00feab5164f905d459535a9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PMTSRNFZHY7ZY6EF2G4SECS2LF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Daojing He, Jing Li, Jun Yu, Min Zhang, Weiyang Guo, Wenya Wang, Yu Li","submitted_at":"2025-05-22T08:22:57Z","abstract_excerpt":"The proliferation of jailbreak attacks against large language models (LLMs) highlights the need for robust security measures. However, in multi-round dialogues, malicious intentions may be hidden in interactions, leading LLMs to be more prone to produce harmful responses. In this paper, we propose the \\textbf{M}ulti-\\textbf{T}urn \\textbf{S}afety \\textbf{A}lignment (\\ourapproach) framework, to address the challenge of securing LLMs in multi-round interactions. It consists of two stages: In the thought-guided attack learning stage, the red-team model learns about thought-guided multi-round jailb"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17147","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/2505.17147/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":"2026-07-05T11:07:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WeEDa72UvD5GKsP2eigQgG15zEvLv6k5dDyJKrmjeJDj57vHcRvmdnwh2Zyor5I3JiD6nELmCl2t87Z4HTbFAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:25:36.056244Z"},"content_sha256":"58338a5ec9dc3fd9522db19ba7cf5fe28e090e735f6fba713bce5544cea3892d","schema_version":"1.0","event_id":"sha256:58338a5ec9dc3fd9522db19ba7cf5fe28e090e735f6fba713bce5544cea3892d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PMTSRNFZHY7ZY6EF2G4SECS2LF/bundle.json","state_url":"https://pith.science/pith/PMTSRNFZHY7ZY6EF2G4SECS2LF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PMTSRNFZHY7ZY6EF2G4SECS2LF/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":"2026-08-07T21:25:36Z","links":{"resolver":"https://pith.science/pith/PMTSRNFZHY7ZY6EF2G4SECS2LF","bundle":"https://pith.science/pith/PMTSRNFZHY7ZY6EF2G4SECS2LF/bundle.json","state":"https://pith.science/pith/PMTSRNFZHY7ZY6EF2G4SECS2LF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PMTSRNFZHY7ZY6EF2G4SECS2LF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PMTSRNFZHY7ZY6EF2G4SECS2LF","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":"4b1522d48a4c019bfb4aff6a2ad7b6602bcb7d3503c7d32fdac1bc23daceb47b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-22T08:22:57Z","title_canon_sha256":"6c2c9198ac2af62bfea04fbff76c5bdcf923973e3bcea206782edef89ba109d9"},"schema_version":"1.0","source":{"id":"2505.17147","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17147","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17147v1","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17147","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_12","alias_value":"PMTSRNFZHY7Z","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_16","alias_value":"PMTSRNFZHY7ZY6EF","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_8","alias_value":"PMTSRNFZ","created_at":"2026-07-05T11:07:47Z"}],"graph_snapshots":[{"event_id":"sha256:58338a5ec9dc3fd9522db19ba7cf5fe28e090e735f6fba713bce5544cea3892d","target":"graph","created_at":"2026-07-05T11:07:47Z","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/2505.17147/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The proliferation of jailbreak attacks against large language models (LLMs) highlights the need for robust security measures. However, in multi-round dialogues, malicious intentions may be hidden in interactions, leading LLMs to be more prone to produce harmful responses. In this paper, we propose the \\textbf{M}ulti-\\textbf{T}urn \\textbf{S}afety \\textbf{A}lignment (\\ourapproach) framework, to address the challenge of securing LLMs in multi-round interactions. It consists of two stages: In the thought-guided attack learning stage, the red-team model learns about thought-guided multi-round jailb","authors_text":"Daojing He, Jing Li, Jun Yu, Min Zhang, Weiyang Guo, Wenya Wang, Yu Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-22T08:22:57Z","title":"MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17147","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":"sha256:25062b1af8a478d47e11ab48870917cf3cc0dce0d00feab5164f905d459535a9","target":"record","created_at":"2026-07-05T11:07:47Z","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":"4b1522d48a4c019bfb4aff6a2ad7b6602bcb7d3503c7d32fdac1bc23daceb47b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-22T08:22:57Z","title_canon_sha256":"6c2c9198ac2af62bfea04fbff76c5bdcf923973e3bcea206782edef89ba109d9"},"schema_version":"1.0","source":{"id":"2505.17147","kind":"arxiv","version":1}},"canonical_sha256":"7b2728b4b93e3f9c7885d1b9220a5a594fbc854525d5f79450e9b21698dfed56","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b2728b4b93e3f9c7885d1b9220a5a594fbc854525d5f79450e9b21698dfed56","first_computed_at":"2026-07-05T11:07:47.830794Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:47.830794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Iug/tF0tnCi9Ky2bPxb2Knth/gP224sEswXJvKh30k1HF6xedC9znTc43W+0BREDSvycMUY8mCVOYBIOabvPDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:47.831273Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.17147","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25062b1af8a478d47e11ab48870917cf3cc0dce0d00feab5164f905d459535a9","sha256:58338a5ec9dc3fd9522db19ba7cf5fe28e090e735f6fba713bce5544cea3892d"],"state_sha256":"75446505b2c8a769292d56933c659e4618a886eb110c7b41f0cb30558dba400a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jqYLy3c0tRK/ZXRzZWqB+8rtgAUCw2QKSFz72DHHVub1iSuF/g9+GSEbCJzQpR2XvoUja3J24nusFRa0u3LUDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:25:36.066324Z","bundle_sha256":"771d5a09612947284e60fcc4b88e2c747f46d64b1cc758754d210c427e129716"}}