{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NWUGK6D5MABEUTF5CIRUAWTJGW","short_pith_number":"pith:NWUGK6D5","canonical_record":{"source":{"id":"2310.09624","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-14T17:10:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"6661b6abac40266967b3fb862787366b91639c3efdff8e196ee5d247074c4479","abstract_canon_sha256":"440049255b90638f578cbbebbbe31b9c2629edefa6848691ef6dfde5a2ced5ac"},"schema_version":"1.0"},"canonical_sha256":"6da865787d60024a4cbd1223405a69358ac72ba4aeed1b8f12324ae58c35a7c9","source":{"kind":"arxiv","id":"2310.09624","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.09624","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"arxiv_version","alias_value":"2310.09624v2","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.09624","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"pith_short_12","alias_value":"NWUGK6D5MABE","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"pith_short_16","alias_value":"NWUGK6D5MABEUTF5","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"pith_short_8","alias_value":"NWUGK6D5","created_at":"2026-07-05T07:11:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NWUGK6D5MABEUTF5CIRUAWTJGW","target":"record","payload":{"canonical_record":{"source":{"id":"2310.09624","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-14T17:10:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"6661b6abac40266967b3fb862787366b91639c3efdff8e196ee5d247074c4479","abstract_canon_sha256":"440049255b90638f578cbbebbbe31b9c2629edefa6848691ef6dfde5a2ced5ac"},"schema_version":"1.0"},"canonical_sha256":"6da865787d60024a4cbd1223405a69358ac72ba4aeed1b8f12324ae58c35a7c9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:11:36.847820Z","signature_b64":"XmXtMuipiDkMYNTEA6FZbq+/WomgYplin/7H4EQt+Qn57cUvxDeqXBEKCojp+dSreJLjdBwgZ6GcKXQ/RGbFBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6da865787d60024a4cbd1223405a69358ac72ba4aeed1b8f12324ae58c35a7c9","last_reissued_at":"2026-07-05T07:11:36.847335Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:11:36.847335Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.09624","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:11:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6ngmE1QuVua3EQh9d97ZRswcTL2T4KRyEpkMfeqDAjm12VysYo73TmRWk4poCgBgU9Ll7QbqGLyym0ShtcemCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:40:48.758360Z"},"content_sha256":"37f8744897aeb3cba21b9128f9f362f09546bb91b51014e221a26b2f1d92451c","schema_version":"1.0","event_id":"sha256:37f8744897aeb3cba21b9128f9f362f09546bb91b51014e221a26b2f1d92451c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NWUGK6D5MABEUTF5CIRUAWTJGW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Alex Mei, Sharon Levy, William Yang Wang","submitted_at":"2023-10-14T17:10:28Z","abstract_excerpt":"As large language models are integrated into society, robustness toward a suite of prompts is increasingly important to maintain reliability in a high-variance environment.Robustness evaluations must comprehensively encapsulate the various settings in which a user may invoke an intelligent system. This paper proposes ASSERT, Automated Safety Scenario Red Teaming, consisting of three methods -- semantically aligned augmentation, target bootstrapping, and adversarial knowledge injection. For robust safety evaluation, we apply these methods in the critical domain of AI safety to algorithmically g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.09624","kind":"arxiv","version":2},"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/2310.09624/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":"2026-07-05T07:11:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"isgJY5/2dIq1TUYODdAALjxpOwMym4a5tdRL5KUkroi/B9l/72/9CPvio7SYG9rqSna4q5IYoWg9ZDhvyIqiAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:40:48.758943Z"},"content_sha256":"ba380dc89a34a4673ddb1edbb14df3d05ed014dfe434bdd7f0284471c57aa4ec","schema_version":"1.0","event_id":"sha256:ba380dc89a34a4673ddb1edbb14df3d05ed014dfe434bdd7f0284471c57aa4ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NWUGK6D5MABEUTF5CIRUAWTJGW/bundle.json","state_url":"https://pith.science/pith/NWUGK6D5MABEUTF5CIRUAWTJGW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NWUGK6D5MABEUTF5CIRUAWTJGW/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":"2026-08-07T12:40:48Z","links":{"resolver":"https://pith.science/pith/NWUGK6D5MABEUTF5CIRUAWTJGW","bundle":"https://pith.science/pith/NWUGK6D5MABEUTF5CIRUAWTJGW/bundle.json","state":"https://pith.science/pith/NWUGK6D5MABEUTF5CIRUAWTJGW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NWUGK6D5MABEUTF5CIRUAWTJGW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NWUGK6D5MABEUTF5CIRUAWTJGW","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":"440049255b90638f578cbbebbbe31b9c2629edefa6848691ef6dfde5a2ced5ac","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-14T17:10:28Z","title_canon_sha256":"6661b6abac40266967b3fb862787366b91639c3efdff8e196ee5d247074c4479"},"schema_version":"1.0","source":{"id":"2310.09624","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.09624","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"arxiv_version","alias_value":"2310.09624v2","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.09624","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"pith_short_12","alias_value":"NWUGK6D5MABE","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"pith_short_16","alias_value":"NWUGK6D5MABEUTF5","created_at":"2026-07-05T07:11:36Z"},{"alias_kind":"pith_short_8","alias_value":"NWUGK6D5","created_at":"2026-07-05T07:11:36Z"}],"graph_snapshots":[{"event_id":"sha256:ba380dc89a34a4673ddb1edbb14df3d05ed014dfe434bdd7f0284471c57aa4ec","target":"graph","created_at":"2026-07-05T07:11:36Z","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/2310.09624/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As large language models are integrated into society, robustness toward a suite of prompts is increasingly important to maintain reliability in a high-variance environment.Robustness evaluations must comprehensively encapsulate the various settings in which a user may invoke an intelligent system. This paper proposes ASSERT, Automated Safety Scenario Red Teaming, consisting of three methods -- semantically aligned augmentation, target bootstrapping, and adversarial knowledge injection. For robust safety evaluation, we apply these methods in the critical domain of AI safety to algorithmically g","authors_text":"Alex Mei, Sharon Levy, William Yang Wang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-14T17:10:28Z","title":"ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.09624","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":"sha256:37f8744897aeb3cba21b9128f9f362f09546bb91b51014e221a26b2f1d92451c","target":"record","created_at":"2026-07-05T07:11:36Z","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":"440049255b90638f578cbbebbbe31b9c2629edefa6848691ef6dfde5a2ced5ac","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-14T17:10:28Z","title_canon_sha256":"6661b6abac40266967b3fb862787366b91639c3efdff8e196ee5d247074c4479"},"schema_version":"1.0","source":{"id":"2310.09624","kind":"arxiv","version":2}},"canonical_sha256":"6da865787d60024a4cbd1223405a69358ac72ba4aeed1b8f12324ae58c35a7c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6da865787d60024a4cbd1223405a69358ac72ba4aeed1b8f12324ae58c35a7c9","first_computed_at":"2026-07-05T07:11:36.847335Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:11:36.847335Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XmXtMuipiDkMYNTEA6FZbq+/WomgYplin/7H4EQt+Qn57cUvxDeqXBEKCojp+dSreJLjdBwgZ6GcKXQ/RGbFBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:11:36.847820Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.09624","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37f8744897aeb3cba21b9128f9f362f09546bb91b51014e221a26b2f1d92451c","sha256:ba380dc89a34a4673ddb1edbb14df3d05ed014dfe434bdd7f0284471c57aa4ec"],"state_sha256":"822de3a9b3550f064201b91cd80091759cead5838b61af5044ee3a4f2e7c8c84"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"32wPtD7UFY/Me5/INDfNDkRwD3wmFpnfBBvR4hTSSeRJMXt9s6Q4iVZHp/l78DC8L2hDiUiijS1cFGw3K3TnBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:40:48.769529Z","bundle_sha256":"90915e173298566c30870c2c7fffd1a43e4b109ec06b6d162fb8dbfb7b957369"}}