{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ITGFXD5K5ZR2ZRAWKZI4DWAODD","short_pith_number":"pith:ITGFXD5K","canonical_record":{"source":{"id":"2311.13158","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-11-22T04:43:16Z","cross_cats_sorted":[],"title_canon_sha256":"0c1e0f48654da5871058f7451515f4265fc08a49b183a85f13a1e150aa2fe712","abstract_canon_sha256":"f0a67685b6b340f44dcfea2d118422b93897ea72c1e1fd50cd067857091761ed"},"schema_version":"1.0"},"canonical_sha256":"44cc5b8faaee63acc4165651c1d80e18d458d75dc5fddb82ac51196ee19be3d7","source":{"kind":"arxiv","id":"2311.13158","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.13158","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"arxiv_version","alias_value":"2311.13158v3","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.13158","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"pith_short_12","alias_value":"ITGFXD5K5ZR2","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"pith_short_16","alias_value":"ITGFXD5K5ZR2ZRAW","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"pith_short_8","alias_value":"ITGFXD5K","created_at":"2026-07-05T07:34:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ITGFXD5K5ZR2ZRAWKZI4DWAODD","target":"record","payload":{"canonical_record":{"source":{"id":"2311.13158","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-11-22T04:43:16Z","cross_cats_sorted":[],"title_canon_sha256":"0c1e0f48654da5871058f7451515f4265fc08a49b183a85f13a1e150aa2fe712","abstract_canon_sha256":"f0a67685b6b340f44dcfea2d118422b93897ea72c1e1fd50cd067857091761ed"},"schema_version":"1.0"},"canonical_sha256":"44cc5b8faaee63acc4165651c1d80e18d458d75dc5fddb82ac51196ee19be3d7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:34:52.587593Z","signature_b64":"3qjVQ8CXgs5vIpcsif0OLT6f/Ri+4nGBF89Nap3TrLoRqeOh4UJI/WUmi3AkKT4f0wCKtdYprfboP1b43e/1Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44cc5b8faaee63acc4165651c1d80e18d458d75dc5fddb82ac51196ee19be3d7","last_reissued_at":"2026-07-05T07:34:52.587172Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:34:52.587172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.13158","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:34:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"axoA1++76EuAobRK4HTIBuzAV4QLJuR+kD6qsy6C8/J4RV22W2F3pe6iFVE4QMv0KBoJI1IzwSbhKg35jzQtBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:39:09.939600Z"},"content_sha256":"88114a3de36a70506b171c964ec08d6090947d92e72322a0853dbce185d40695","schema_version":"1.0","event_id":"sha256:88114a3de36a70506b171c964ec08d6090947d92e72322a0853dbce185d40695"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ITGFXD5K5ZR2ZRAWKZI4DWAODD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Boming Xia, Liming Zhu, Qinghua Lu, Sung Une Lee, Yue Liu, Zhenchang Xing","submitted_at":"2023-11-22T04:43:16Z","abstract_excerpt":"Artificial Intelligence (AI), particularly through the advent of large-scale generative AI (GenAI) models such as Large Language Models (LLMs), has become a transformative element in contemporary technology. While these models have unlocked new possibilities, they simultaneously present significant challenges, such as concerns over data privacy and the propensity to generate misleading or fabricated content. Current frameworks for Responsible AI (RAI) often fall short in providing the granular guidance necessary for tangible application, especially for Accountability-a principle that is pivota"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.13158","kind":"arxiv","version":3},"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/2311.13158/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":"2026-07-05T07:34:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uG4KtrxZbI3r1773fLC3SIAs+/kJeQm64c4w0QwwkrEZ/jJPzAidDQYLA7Q4LzDBP0Ry8O3myi1/HQ6/MfX/Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:39:09.940114Z"},"content_sha256":"caeff1c4295aad293bdc681338b7770d66b088cf4dbe5a8bb0846f85e3f31641","schema_version":"1.0","event_id":"sha256:caeff1c4295aad293bdc681338b7770d66b088cf4dbe5a8bb0846f85e3f31641"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ITGFXD5K5ZR2ZRAWKZI4DWAODD/bundle.json","state_url":"https://pith.science/pith/ITGFXD5K5ZR2ZRAWKZI4DWAODD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ITGFXD5K5ZR2ZRAWKZI4DWAODD/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":"2026-08-08T09:39:09Z","links":{"resolver":"https://pith.science/pith/ITGFXD5K5ZR2ZRAWKZI4DWAODD","bundle":"https://pith.science/pith/ITGFXD5K5ZR2ZRAWKZI4DWAODD/bundle.json","state":"https://pith.science/pith/ITGFXD5K5ZR2ZRAWKZI4DWAODD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ITGFXD5K5ZR2ZRAWKZI4DWAODD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ITGFXD5K5ZR2ZRAWKZI4DWAODD","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":"f0a67685b6b340f44dcfea2d118422b93897ea72c1e1fd50cd067857091761ed","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-11-22T04:43:16Z","title_canon_sha256":"0c1e0f48654da5871058f7451515f4265fc08a49b183a85f13a1e150aa2fe712"},"schema_version":"1.0","source":{"id":"2311.13158","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.13158","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"arxiv_version","alias_value":"2311.13158v3","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.13158","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"pith_short_12","alias_value":"ITGFXD5K5ZR2","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"pith_short_16","alias_value":"ITGFXD5K5ZR2ZRAW","created_at":"2026-07-05T07:34:52Z"},{"alias_kind":"pith_short_8","alias_value":"ITGFXD5K","created_at":"2026-07-05T07:34:52Z"}],"graph_snapshots":[{"event_id":"sha256:caeff1c4295aad293bdc681338b7770d66b088cf4dbe5a8bb0846f85e3f31641","target":"graph","created_at":"2026-07-05T07:34:52Z","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/2311.13158/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial Intelligence (AI), particularly through the advent of large-scale generative AI (GenAI) models such as Large Language Models (LLMs), has become a transformative element in contemporary technology. While these models have unlocked new possibilities, they simultaneously present significant challenges, such as concerns over data privacy and the propensity to generate misleading or fabricated content. Current frameworks for Responsible AI (RAI) often fall short in providing the granular guidance necessary for tangible application, especially for Accountability-a principle that is pivota","authors_text":"Boming Xia, Liming Zhu, Qinghua Lu, Sung Une Lee, Yue Liu, Zhenchang Xing","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-11-22T04:43:16Z","title":"Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.13158","kind":"arxiv","version":3},"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":"sha256:88114a3de36a70506b171c964ec08d6090947d92e72322a0853dbce185d40695","target":"record","created_at":"2026-07-05T07:34:52Z","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":"f0a67685b6b340f44dcfea2d118422b93897ea72c1e1fd50cd067857091761ed","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-11-22T04:43:16Z","title_canon_sha256":"0c1e0f48654da5871058f7451515f4265fc08a49b183a85f13a1e150aa2fe712"},"schema_version":"1.0","source":{"id":"2311.13158","kind":"arxiv","version":3}},"canonical_sha256":"44cc5b8faaee63acc4165651c1d80e18d458d75dc5fddb82ac51196ee19be3d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44cc5b8faaee63acc4165651c1d80e18d458d75dc5fddb82ac51196ee19be3d7","first_computed_at":"2026-07-05T07:34:52.587172Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:34:52.587172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3qjVQ8CXgs5vIpcsif0OLT6f/Ri+4nGBF89Nap3TrLoRqeOh4UJI/WUmi3AkKT4f0wCKtdYprfboP1b43e/1Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:34:52.587593Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.13158","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88114a3de36a70506b171c964ec08d6090947d92e72322a0853dbce185d40695","sha256:caeff1c4295aad293bdc681338b7770d66b088cf4dbe5a8bb0846f85e3f31641"],"state_sha256":"7a7926e292c777191ebd9eb3ba9f08f0351bab008906fa1f3ae8ead68741a1e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"enx2Rtaps2F7NysIZ3FHizNC02RMlcqEmgEx2mRMIj+owrN+qyQjm2dBVtOgJkjrAzN/hQFf73gO931DOCoKCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:39:09.944179Z","bundle_sha256":"0ea163cd421045323ecbc9fce85020589106abd698e18d649b8952e366320ec1"}}