{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EIJYQPAVNPN65KC53WJ5RZBB6Y","short_pith_number":"pith:EIJYQPAV","canonical_record":{"source":{"id":"2509.01444","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-09-01T12:58:43Z","cross_cats_sorted":[],"title_canon_sha256":"ca50a105cdf2577581656fa39c8d2bf94f642cf747a47402867001a303482972","abstract_canon_sha256":"c10ec83bbbb2d5e28eafc0cfa46f53a3109cd65e5b4735ad7b49f58f5f8aa823"},"schema_version":"1.0"},"canonical_sha256":"2213883c156bdbeea85ddd93d8e421f617d8cbb8b55e2c6c00d0450a015e5e83","source":{"kind":"arxiv","id":"2509.01444","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01444","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01444v1","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01444","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"pith_short_12","alias_value":"EIJYQPAVNPN6","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"pith_short_16","alias_value":"EIJYQPAVNPN65KC5","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"pith_short_8","alias_value":"EIJYQPAV","created_at":"2026-07-05T12:03:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EIJYQPAVNPN65KC53WJ5RZBB6Y","target":"record","payload":{"canonical_record":{"source":{"id":"2509.01444","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-09-01T12:58:43Z","cross_cats_sorted":[],"title_canon_sha256":"ca50a105cdf2577581656fa39c8d2bf94f642cf747a47402867001a303482972","abstract_canon_sha256":"c10ec83bbbb2d5e28eafc0cfa46f53a3109cd65e5b4735ad7b49f58f5f8aa823"},"schema_version":"1.0"},"canonical_sha256":"2213883c156bdbeea85ddd93d8e421f617d8cbb8b55e2c6c00d0450a015e5e83","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:03:01.181877Z","signature_b64":"6ayXnbPKmYCNKc9nRoK6ayfH1Zti6oqCg49w7iuiegIJrEt4zQUmX7NFpw6arOIYDW8bztTGyu1oIWHbOVrQCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2213883c156bdbeea85ddd93d8e421f617d8cbb8b55e2c6c00d0450a015e5e83","last_reissued_at":"2026-07-05T12:03:01.181333Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:03:01.181333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.01444","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":"2026-07-05T12:03:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ewaiiG3LT+w2PXWiHxkbiqPBpbjuENdndUOY8eLrBJpz7Fd9SM/O1vz7tev9uUysnOshEQ1t29FjOTTYxjBsBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:18:10.147631Z"},"content_sha256":"9254dc62d136fd225e69e8f6193d56d87640313b41bc995f7f25e00c04106964","schema_version":"1.0","event_id":"sha256:9254dc62d136fd225e69e8f6193d56d87640313b41bc995f7f25e00c04106964"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EIJYQPAVNPN65KC53WJ5RZBB6Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Strata-Sword: A Hierarchical Safety Evaluation towards LLMs based on Reasoning Complexity of Jailbreak Instructions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Chang Liu, Cheng Wei, Fengxiang Wang, Hui Xue, Jialing Tao, Jiexi Liu, Qing Guo, Ranjie Duan, Ruoxi Cheng, Shiji Zhao, Xiaojun Jia, Xingxing Wei, Yong Xie","submitted_at":"2025-09-01T12:58:43Z","abstract_excerpt":"Large language models (LLMs) have gained widespread recognition for their superior comprehension and have been deployed across numerous domains. Building on Chain-of-Thought (CoT) ideology, Large Reasoning models (LRMs) further exhibit strong reasoning skills, enabling them to infer user intent more accurately and respond appropriately. However, both LLMs and LRMs face the potential safety risks under jailbreak attacks, which raise concerns about their safety capabilities. Current safety evaluation methods often focus on the content dimensions, or simply aggregate different attack methods, lac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01444","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/2509.01444/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":"2026-07-05T12:03:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FJKnL+3yPR4zXJHEHhLn8gBrV4VmjJLKz5RkNCXUrmXBbaaJD7MWJRDyjeLfKf+8CN6CMnu9DQOO+baleg9jAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:18:10.148233Z"},"content_sha256":"4024f218f7e5ccdbad17caf19006ad01d3cd1e232cae8f312606e7498d6916e1","schema_version":"1.0","event_id":"sha256:4024f218f7e5ccdbad17caf19006ad01d3cd1e232cae8f312606e7498d6916e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EIJYQPAVNPN65KC53WJ5RZBB6Y/bundle.json","state_url":"https://pith.science/pith/EIJYQPAVNPN65KC53WJ5RZBB6Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EIJYQPAVNPN65KC53WJ5RZBB6Y/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":"2026-08-10T04:18:10Z","links":{"resolver":"https://pith.science/pith/EIJYQPAVNPN65KC53WJ5RZBB6Y","bundle":"https://pith.science/pith/EIJYQPAVNPN65KC53WJ5RZBB6Y/bundle.json","state":"https://pith.science/pith/EIJYQPAVNPN65KC53WJ5RZBB6Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EIJYQPAVNPN65KC53WJ5RZBB6Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EIJYQPAVNPN65KC53WJ5RZBB6Y","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":"c10ec83bbbb2d5e28eafc0cfa46f53a3109cd65e5b4735ad7b49f58f5f8aa823","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-09-01T12:58:43Z","title_canon_sha256":"ca50a105cdf2577581656fa39c8d2bf94f642cf747a47402867001a303482972"},"schema_version":"1.0","source":{"id":"2509.01444","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01444","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01444v1","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01444","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"pith_short_12","alias_value":"EIJYQPAVNPN6","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"pith_short_16","alias_value":"EIJYQPAVNPN65KC5","created_at":"2026-07-05T12:03:01Z"},{"alias_kind":"pith_short_8","alias_value":"EIJYQPAV","created_at":"2026-07-05T12:03:01Z"}],"graph_snapshots":[{"event_id":"sha256:4024f218f7e5ccdbad17caf19006ad01d3cd1e232cae8f312606e7498d6916e1","target":"graph","created_at":"2026-07-05T12:03:01Z","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/2509.01444/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have gained widespread recognition for their superior comprehension and have been deployed across numerous domains. Building on Chain-of-Thought (CoT) ideology, Large Reasoning models (LRMs) further exhibit strong reasoning skills, enabling them to infer user intent more accurately and respond appropriately. However, both LLMs and LRMs face the potential safety risks under jailbreak attacks, which raise concerns about their safety capabilities. Current safety evaluation methods often focus on the content dimensions, or simply aggregate different attack methods, lac","authors_text":"Chang Liu, Cheng Wei, Fengxiang Wang, Hui Xue, Jialing Tao, Jiexi Liu, Qing Guo, Ranjie Duan, Ruoxi Cheng, Shiji Zhao, Xiaojun Jia, Xingxing Wei, Yong Xie","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-09-01T12:58:43Z","title":"Strata-Sword: A Hierarchical Safety Evaluation towards LLMs based on Reasoning Complexity of Jailbreak Instructions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01444","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":"sha256:9254dc62d136fd225e69e8f6193d56d87640313b41bc995f7f25e00c04106964","target":"record","created_at":"2026-07-05T12:03:01Z","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":"c10ec83bbbb2d5e28eafc0cfa46f53a3109cd65e5b4735ad7b49f58f5f8aa823","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-09-01T12:58:43Z","title_canon_sha256":"ca50a105cdf2577581656fa39c8d2bf94f642cf747a47402867001a303482972"},"schema_version":"1.0","source":{"id":"2509.01444","kind":"arxiv","version":1}},"canonical_sha256":"2213883c156bdbeea85ddd93d8e421f617d8cbb8b55e2c6c00d0450a015e5e83","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2213883c156bdbeea85ddd93d8e421f617d8cbb8b55e2c6c00d0450a015e5e83","first_computed_at":"2026-07-05T12:03:01.181333Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:01.181333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6ayXnbPKmYCNKc9nRoK6ayfH1Zti6oqCg49w7iuiegIJrEt4zQUmX7NFpw6arOIYDW8bztTGyu1oIWHbOVrQCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:01.181877Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.01444","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9254dc62d136fd225e69e8f6193d56d87640313b41bc995f7f25e00c04106964","sha256:4024f218f7e5ccdbad17caf19006ad01d3cd1e232cae8f312606e7498d6916e1"],"state_sha256":"89098daffdb91899ea24c801ca533ef139a32bb7bf12d01a42c20c5f35ac9ae7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x5Jrpc4f7k0L6PgfOnl3LqikIplW40qFnAKPimlpD4NiYltcoXV2thr40rplgu+fx7SIFclJL6KGoZs+Wwh1Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T04:18:10.154606Z","bundle_sha256":"b16e954f81f3c0382282dc80e2e9aae2fd85707012f89dd5aac474ee1a42c24b"}}