{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:O3ROXXMZMBBHH7G27UP5Z2NYNN","short_pith_number":"pith:O3ROXXMZ","canonical_record":{"source":{"id":"2608.10194","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-08-10T20:12:40Z","cross_cats_sorted":[],"title_canon_sha256":"76ebc6c6cc3030c64191f09ddba579f31e7bbdfdf22f2c9832c25b09b3e5897b","abstract_canon_sha256":"289816a338890e4dd594cc22a7409b9b685f5fb049d00d8e7d9b3c4e986e3da7"},"schema_version":"1.0"},"canonical_sha256":"76e2ebdd99604273fcdafd1fdce9b86b7a4e8ac9c67d153d6162fec0c1510d9b","source":{"kind":"arxiv","id":"2608.10194","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.10194","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"arxiv_version","alias_value":"2608.10194v1","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10194","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"pith_short_12","alias_value":"O3ROXXMZMBBH","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"pith_short_16","alias_value":"O3ROXXMZMBBHH7G2","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"pith_short_8","alias_value":"O3ROXXMZ","created_at":"2026-08-12T00:23:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:O3ROXXMZMBBHH7G27UP5Z2NYNN","target":"record","payload":{"canonical_record":{"source":{"id":"2608.10194","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-08-10T20:12:40Z","cross_cats_sorted":[],"title_canon_sha256":"76ebc6c6cc3030c64191f09ddba579f31e7bbdfdf22f2c9832c25b09b3e5897b","abstract_canon_sha256":"289816a338890e4dd594cc22a7409b9b685f5fb049d00d8e7d9b3c4e986e3da7"},"schema_version":"1.0"},"canonical_sha256":"76e2ebdd99604273fcdafd1fdce9b86b7a4e8ac9c67d153d6162fec0c1510d9b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-12T00:23:01.225867Z","signature_b64":"BramPulk7YOReRuhvUwKt8nzYZoMXNd5ASHRUatp5nRU/rK1nlUJj/Dqsj/fKTzyXsYlEKNNm+ULm1tMLOe9Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"76e2ebdd99604273fcdafd1fdce9b86b7a4e8ac9c67d153d6162fec0c1510d9b","last_reissued_at":"2026-08-12T00:23:01.224095Z","signature_status":"signed_v1","first_computed_at":"2026-08-12T00:23:01.224095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.10194","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":"2026-08-12T00:23:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5rN9HhLMl9VAbzqx1WnNXrKL7NMVmYogPb+8GwbR+zE0MHxMW9hDI/u689F6sMtC5DRFcu6IpVcXwt1vOm78CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T20:50:32.535301Z"},"content_sha256":"2ff8ca01397ede600b4c56a9b51ba16ff0225f3939a276790243f312d609c66a","schema_version":"1.0","event_id":"sha256:2ff8ca01397ede600b4c56a9b51ba16ff0225f3939a276790243f312d609c66a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:O3ROXXMZMBBHH7G27UP5Z2NYNN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Abigail Z. Jacobs, Emanuel Moss, Emma Harvey, Hauke Sandhaus, Mona Sloane","submitted_at":"2026-08-10T20:12:40Z","abstract_excerpt":"Humans are increasingly expected to interact with AI systems that observe and make inferences about them - but do these systems actually work? A standard approach to answering this question is AI auditing. Conducting an AI audit requires identifying how a system behaves (i.e., determining what types of inputs to audit it with and then observing and documenting actual system behavior) and contrasting that with how a system should behave (i.e., determining what the nominal outputs of a system should look like). We argue that this is best done through a contextual audit, which we introduce as a m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10194","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/2608.10194/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":"2026-08-12T00:23:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RUzS8ddpKVgZu9xhgQ8PB7KXJCswKjKCr6IZeGqbNAhcmIFUigOgYg6qC8U6O38G5HiDhypPSe7q7m2/gSHKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T20:50:32.536305Z"},"content_sha256":"c14c1c71715f2ffd3e59a6c7c44b5b96c0abb9d5920d07176bcfd59aa39e1bc2","schema_version":"1.0","event_id":"sha256:c14c1c71715f2ffd3e59a6c7c44b5b96c0abb9d5920d07176bcfd59aa39e1bc2"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:O3ROXXMZMBBHH7G27UP5Z2NYNN","target":"integrity","payload":{"note":"Identifier '10.1162/99608f92.fc14bf' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Uses and. Harvard Data Science Review , author =. doi:10.1162/99608f92.fc14bf","arxiv_id":"2608.10194","detector":"doi_compliance","evidence":{"doi":"10.1162/99608f92.fc14bf","arxiv_id":null,"ref_index":126,"raw_excerpt":"Uses and. Harvard Data Science Review , author =. doi:10.1162/99608f92.fc14bf","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":126,"audited_at":"2026-08-14T04:19:50.287429Z","event_type":"pith.integrity.v1","detected_doi":"10.1162/99608f92.fc14bf","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"f85d535157f4501c5aca1c2399f15ceb9d1a4418e48d0f3cb0ca935350a31bca","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19433,"payload_sha256":"3a162f1d8ba3d7c3bf88fd806e825f12cfa263a94630f522961dad1aa39bef7f","signature_b64":"V3FLYvzXaa0UvcT35HLgh/ubjxVD3ZgYYBAfERFTTuKjNSnxz3xXjT4He6krKuGXZc1OU5QW9YhkjHPXooNfAQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T04:23:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/FbLvBuctnuBglJDMvfzNEGn53UV583iNZNXUXZC8EN2hBOqcc7atGw6UQ0qikLHy7QBAYkh4EnUV5Nj1qKeCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T20:50:32.543147Z"},"content_sha256":"d4e0453f4edcb784391ce0d0ed3858198325af0ffc8e6862f4644c727ea87f96","schema_version":"1.0","event_id":"sha256:d4e0453f4edcb784391ce0d0ed3858198325af0ffc8e6862f4644c727ea87f96"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O3ROXXMZMBBHH7G27UP5Z2NYNN/bundle.json","state_url":"https://pith.science/pith/O3ROXXMZMBBHH7G27UP5Z2NYNN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O3ROXXMZMBBHH7G27UP5Z2NYNN/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":"2026-08-16T20:50:32Z","links":{"resolver":"https://pith.science/pith/O3ROXXMZMBBHH7G27UP5Z2NYNN","bundle":"https://pith.science/pith/O3ROXXMZMBBHH7G27UP5Z2NYNN/bundle.json","state":"https://pith.science/pith/O3ROXXMZMBBHH7G27UP5Z2NYNN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O3ROXXMZMBBHH7G27UP5Z2NYNN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:O3ROXXMZMBBHH7G27UP5Z2NYNN","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"289816a338890e4dd594cc22a7409b9b685f5fb049d00d8e7d9b3c4e986e3da7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-08-10T20:12:40Z","title_canon_sha256":"76ebc6c6cc3030c64191f09ddba579f31e7bbdfdf22f2c9832c25b09b3e5897b"},"schema_version":"1.0","source":{"id":"2608.10194","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.10194","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"arxiv_version","alias_value":"2608.10194v1","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10194","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"pith_short_12","alias_value":"O3ROXXMZMBBH","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"pith_short_16","alias_value":"O3ROXXMZMBBHH7G2","created_at":"2026-08-12T00:23:01Z"},{"alias_kind":"pith_short_8","alias_value":"O3ROXXMZ","created_at":"2026-08-12T00:23:01Z"}],"graph_snapshots":[{"event_id":"sha256:c14c1c71715f2ffd3e59a6c7c44b5b96c0abb9d5920d07176bcfd59aa39e1bc2","target":"graph","created_at":"2026-08-12T00:23:01Z","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/2608.10194/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Humans are increasingly expected to interact with AI systems that observe and make inferences about them - but do these systems actually work? A standard approach to answering this question is AI auditing. Conducting an AI audit requires identifying how a system behaves (i.e., determining what types of inputs to audit it with and then observing and documenting actual system behavior) and contrasting that with how a system should behave (i.e., determining what the nominal outputs of a system should look like). We argue that this is best done through a contextual audit, which we introduce as a m","authors_text":"Abigail Z. Jacobs, Emanuel Moss, Emma Harvey, Hauke Sandhaus, Mona Sloane","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-08-10T20:12:40Z","title":"Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10194","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":"sha256:2ff8ca01397ede600b4c56a9b51ba16ff0225f3939a276790243f312d609c66a","target":"record","created_at":"2026-08-12T00:23:01Z","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":"289816a338890e4dd594cc22a7409b9b685f5fb049d00d8e7d9b3c4e986e3da7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-08-10T20:12:40Z","title_canon_sha256":"76ebc6c6cc3030c64191f09ddba579f31e7bbdfdf22f2c9832c25b09b3e5897b"},"schema_version":"1.0","source":{"id":"2608.10194","kind":"arxiv","version":1}},"canonical_sha256":"76e2ebdd99604273fcdafd1fdce9b86b7a4e8ac9c67d153d6162fec0c1510d9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76e2ebdd99604273fcdafd1fdce9b86b7a4e8ac9c67d153d6162fec0c1510d9b","first_computed_at":"2026-08-12T00:23:01.224095Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-12T00:23:01.224095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BramPulk7YOReRuhvUwKt8nzYZoMXNd5ASHRUatp5nRU/rK1nlUJj/Dqsj/fKTzyXsYlEKNNm+ULm1tMLOe9Ag==","signature_status":"signed_v1","signed_at":"2026-08-12T00:23:01.225867Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.10194","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ff8ca01397ede600b4c56a9b51ba16ff0225f3939a276790243f312d609c66a","sha256:c14c1c71715f2ffd3e59a6c7c44b5b96c0abb9d5920d07176bcfd59aa39e1bc2","sha256:d4e0453f4edcb784391ce0d0ed3858198325af0ffc8e6862f4644c727ea87f96"],"state_sha256":"1357b8ce9f910c593848b3ab9d0fff8de3ecae4bc7291b1443788f7af32d12fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U18pBvISlf0JyABfZ0EIyLUT2cMvICkkcCtMITGRg72JRWBy5dkQxY5N6+LM1Bg7/aouH9uotQ+eV4tm4sWgCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T20:50:32.554296Z","bundle_sha256":"fd460e05ad528dfcc593a9784b642a53fab9d3b13efe28b0787d798f9161c498"}}