{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NY7F2D2LU55OXI76BFS5KRPQR2","short_pith_number":"pith:NY7F2D2L","canonical_record":{"source":{"id":"2504.15585","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-22T05:02:49Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"d5dc61c7495c53cc9374901a158ecf770eb4716f1fa689c441f944209829a6f6","abstract_canon_sha256":"cf3c65baeb70e3fc6588cb6896419ad1a3fd192a690792e3ca173a62436f44fe"},"schema_version":"1.0"},"canonical_sha256":"6e3e5d0f4ba77aeba3fe0965d545f08e8eb9727da8fb25e06e688ccd3b47a3c2","source":{"kind":"arxiv","id":"2504.15585","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15585","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15585v4","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15585","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"pith_short_12","alias_value":"NY7F2D2LU55O","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"pith_short_16","alias_value":"NY7F2D2LU55OXI76","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"pith_short_8","alias_value":"NY7F2D2L","created_at":"2026-07-05T11:18:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NY7F2D2LU55OXI76BFS5KRPQR2","target":"record","payload":{"canonical_record":{"source":{"id":"2504.15585","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-22T05:02:49Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"d5dc61c7495c53cc9374901a158ecf770eb4716f1fa689c441f944209829a6f6","abstract_canon_sha256":"cf3c65baeb70e3fc6588cb6896419ad1a3fd192a690792e3ca173a62436f44fe"},"schema_version":"1.0"},"canonical_sha256":"6e3e5d0f4ba77aeba3fe0965d545f08e8eb9727da8fb25e06e688ccd3b47a3c2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:20.954884Z","signature_b64":"5k81be8qnfLh3riHgFuYowgXLUlgjay/lEmnxokriCiQ24Bw4+YA0pVSNYCsyvPCXfImUEUlzZWgEW9kEvL5CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e3e5d0f4ba77aeba3fe0965d545f08e8eb9727da8fb25e06e688ccd3b47a3c2","last_reissued_at":"2026-07-05T11:18:20.954243Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:20.954243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.15585","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:18:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oF5cWp2fYUpCuqO4ow6dlnmkK1PL7Ixtq3HUWM0rg3LYFSvBDQrqnN/3vpJvaVRHQXTimsv/cuNbPbbRKY5QCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T01:57:37.905151Z"},"content_sha256":"66465471fda31d70895d15417d9a1a669db417088298e6b7ca0eb10a0e7b6adf","schema_version":"1.0","event_id":"sha256:66465471fda31d70895d15417d9a1a669db417088298e6b7ca0eb10a0e7b6adf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NY7F2D2LU55OXI76BFS5KRPQR2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.CR","authors_text":"Bhavya Kailkhura, Bo An, Chenghao Li, Chengwei Liu, Chenlong Yin, Chongye Guo, Cong Wu, Dacheng Tao, Donghai Hong, Dongrui Liu, Dongxia Wang, Fanci Meng, Fan Zhang, Felix Juefei-Xu, Guancheng Wan, Guibin Zhang, Guowen Xu, Hanjun Luo, Haolang Lu, Hao Wu, Heng Chang, Hongwei Li, Hui Xiong, Jen-tse Huang, Jiahao Wu, Jiaheng Zhang, Jiaming Ji, Jiawei Li, Jie Zhang, Jindong Gu, Jing Chen, Jingyi Wang, Jinhu Fu, Joey Tianyi Zhou, Junfeng Fang, Junlin Wu, Jun Sun, Junyuan Mao, Kai Wang, Ke Tang, Kun Wang, Lei Bai, Liang Lin, Liang Pang, Lingjuan Lyu, Luu Anh Tuan, Miao Yu, Minghe Wang, Mohit Bansal, Ningyu Zhang, Philip S. Yu, Qiankun Li, Qing Guo, Qing Li, Qingsong Wen, Qiufeng Wang, Shicheng Xu, Shiqian Zhao, Shirui Pan, Tianlin Li, Tianlong Chen, Tianwei Zhang, Weifei Jin, Weisong Sun, Wei Wang, Wenjie Qu, Wenke Huang, Wenxuan Wang, Wenyuan Xu, Xiang Wang, Xiaofeng Wang, Xiaojun Jia, Xiaolong Jin, Xiao Wang, Xinfeng Li, Xingjun Ma, Xinye Cao, Xinyu Deng, Xinyun Zhou, Xuming Hu, Yalan Qin, Yang Liu, Yanhui Li, Yanwei Yue, Yaodong Yang, Yibo Yan, Yi Ding, Yifan Jiang, Yifan Zhang, Yihao Huang, Yiming Li, Yingxin Lai, Yi Yu, Yizhou Sun, Yue Liu, Yufei Guo, Yu-Gang Jiang, Yuval Elovici, Yu Wang, Zhaoxin Fan, Zhenhong Zhou, Zhihao Xu, Zitong Yu","submitted_at":"2025-04-22T05:02:49Z","abstract_excerpt":"The remarkable success of Large Language Models (LLMs) has illuminated a promising pathway toward achieving Artificial General Intelligence for both academic and industrial communities, owing to their unprecedented performance across various applications. As LLMs continue to gain prominence in both research and commercial domains, their security and safety implications have become a growing concern, not only for researchers and corporations but also for every nation. Currently, existing surveys on LLM safety primarily focus on specific stages of the LLM lifecycle, e.g., deployment phase or fin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15585","kind":"arxiv","version":4},"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/2504.15585/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":"2026-07-05T11:18:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kPbrLeFNHT/b3SlOyP5tOSI8zGloPD1iDQxhBycRMQvukUC9bRqYAXZZaTKqog+6bOKiS2tZshsi2fL3+KTzBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T01:57:37.905759Z"},"content_sha256":"daab4f7193f4543305ad78c722611f578f2a28e5243172c1adfcaa90d1e19089","schema_version":"1.0","event_id":"sha256:daab4f7193f4543305ad78c722611f578f2a28e5243172c1adfcaa90d1e19089"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NY7F2D2LU55OXI76BFS5KRPQR2/bundle.json","state_url":"https://pith.science/pith/NY7F2D2LU55OXI76BFS5KRPQR2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NY7F2D2LU55OXI76BFS5KRPQR2/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":"2026-08-02T01:57:37Z","links":{"resolver":"https://pith.science/pith/NY7F2D2LU55OXI76BFS5KRPQR2","bundle":"https://pith.science/pith/NY7F2D2LU55OXI76BFS5KRPQR2/bundle.json","state":"https://pith.science/pith/NY7F2D2LU55OXI76BFS5KRPQR2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NY7F2D2LU55OXI76BFS5KRPQR2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NY7F2D2LU55OXI76BFS5KRPQR2","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":"cf3c65baeb70e3fc6588cb6896419ad1a3fd192a690792e3ca173a62436f44fe","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-22T05:02:49Z","title_canon_sha256":"d5dc61c7495c53cc9374901a158ecf770eb4716f1fa689c441f944209829a6f6"},"schema_version":"1.0","source":{"id":"2504.15585","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15585","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15585v4","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15585","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"pith_short_12","alias_value":"NY7F2D2LU55O","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"pith_short_16","alias_value":"NY7F2D2LU55OXI76","created_at":"2026-07-05T11:18:20Z"},{"alias_kind":"pith_short_8","alias_value":"NY7F2D2L","created_at":"2026-07-05T11:18:20Z"}],"graph_snapshots":[{"event_id":"sha256:daab4f7193f4543305ad78c722611f578f2a28e5243172c1adfcaa90d1e19089","target":"graph","created_at":"2026-07-05T11:18:20Z","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/2504.15585/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The remarkable success of Large Language Models (LLMs) has illuminated a promising pathway toward achieving Artificial General Intelligence for both academic and industrial communities, owing to their unprecedented performance across various applications. As LLMs continue to gain prominence in both research and commercial domains, their security and safety implications have become a growing concern, not only for researchers and corporations but also for every nation. Currently, existing surveys on LLM safety primarily focus on specific stages of the LLM lifecycle, e.g., deployment phase or fin","authors_text":"Bhavya Kailkhura, Bo An, Chenghao Li, Chengwei Liu, Chenlong Yin, Chongye Guo, Cong Wu, Dacheng Tao, Donghai Hong, Dongrui Liu, Dongxia Wang, Fanci Meng, Fan Zhang, Felix Juefei-Xu, Guancheng Wan, Guibin Zhang, Guowen Xu, Hanjun Luo, Haolang Lu, Hao Wu, Heng Chang, Hongwei Li, Hui Xiong, Jen-tse Huang, Jiahao Wu, Jiaheng Zhang, Jiaming Ji, Jiawei Li, Jie Zhang, Jindong Gu, Jing Chen, Jingyi Wang, Jinhu Fu, Joey Tianyi Zhou, Junfeng Fang, Junlin Wu, Jun Sun, Junyuan Mao, Kai Wang, Ke Tang, Kun Wang, Lei Bai, Liang Lin, Liang Pang, Lingjuan Lyu, Luu Anh Tuan, Miao Yu, Minghe Wang, Mohit Bansal, Ningyu Zhang, Philip S. Yu, Qiankun Li, Qing Guo, Qing Li, Qingsong Wen, Qiufeng Wang, Shicheng Xu, Shiqian Zhao, Shirui Pan, Tianlin Li, Tianlong Chen, Tianwei Zhang, Weifei Jin, Weisong Sun, Wei Wang, Wenjie Qu, Wenke Huang, Wenxuan Wang, Wenyuan Xu, Xiang Wang, Xiaofeng Wang, Xiaojun Jia, Xiaolong Jin, Xiao Wang, Xinfeng Li, Xingjun Ma, Xinye Cao, Xinyu Deng, Xinyun Zhou, Xuming Hu, Yalan Qin, Yang Liu, Yanhui Li, Yanwei Yue, Yaodong Yang, Yibo Yan, Yi Ding, Yifan Jiang, Yifan Zhang, Yihao Huang, Yiming Li, Yingxin Lai, Yi Yu, Yizhou Sun, Yue Liu, Yufei Guo, Yu-Gang Jiang, Yuval Elovici, Yu Wang, Zhaoxin Fan, Zhenhong Zhou, Zhihao Xu, Zitong Yu","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-22T05:02:49Z","title":"A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15585","kind":"arxiv","version":4},"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":"sha256:66465471fda31d70895d15417d9a1a669db417088298e6b7ca0eb10a0e7b6adf","target":"record","created_at":"2026-07-05T11:18:20Z","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":"cf3c65baeb70e3fc6588cb6896419ad1a3fd192a690792e3ca173a62436f44fe","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-22T05:02:49Z","title_canon_sha256":"d5dc61c7495c53cc9374901a158ecf770eb4716f1fa689c441f944209829a6f6"},"schema_version":"1.0","source":{"id":"2504.15585","kind":"arxiv","version":4}},"canonical_sha256":"6e3e5d0f4ba77aeba3fe0965d545f08e8eb9727da8fb25e06e688ccd3b47a3c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e3e5d0f4ba77aeba3fe0965d545f08e8eb9727da8fb25e06e688ccd3b47a3c2","first_computed_at":"2026-07-05T11:18:20.954243Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:20.954243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5k81be8qnfLh3riHgFuYowgXLUlgjay/lEmnxokriCiQ24Bw4+YA0pVSNYCsyvPCXfImUEUlzZWgEW9kEvL5CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:20.954884Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.15585","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66465471fda31d70895d15417d9a1a669db417088298e6b7ca0eb10a0e7b6adf","sha256:daab4f7193f4543305ad78c722611f578f2a28e5243172c1adfcaa90d1e19089"],"state_sha256":"adb3ce96be12fd48e5936c6a4eec340c9923b962f8a4edf77131610223f0442a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pICWTfB6DLOk2F4CnOaIg2nDfDL6dpiEYpKngaoTQr4XMP97L19Ke20uvKciSIuX/D/icmdyHULbhKarlcjiCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T01:57:37.909977Z","bundle_sha256":"1d56750c556c6a73c7838a024aa51b4e5f83c6ac1d091129777232f9a583994a"}}