{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NQODJN7APIEK22UZPITFNBQ2QN","short_pith_number":"pith:NQODJN7A","canonical_record":{"source":{"id":"2607.19292","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-07-21T17:02:37Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"fcf12f71b3f15f32970bcc4b9267a6cdeb59032298a1f4cb9f71732b0b3c6d1f","abstract_canon_sha256":"6766b42b836a95bb85b27e66ccaa14a0d164f71d9ed7787b66cb65f9e33e8efe"},"schema_version":"1.0"},"canonical_sha256":"6c1c34b7e07a08ad6a997a2656861a8345b39b3585f114cfdacc4b97e054ebde","source":{"kind":"arxiv","id":"2607.19292","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.19292","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.19292v1","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.19292","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"pith_short_12","alias_value":"NQODJN7APIEK","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"pith_short_16","alias_value":"NQODJN7APIEK22UZ","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"pith_short_8","alias_value":"NQODJN7A","created_at":"2026-07-22T01:24:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NQODJN7APIEK22UZPITFNBQ2QN","target":"record","payload":{"canonical_record":{"source":{"id":"2607.19292","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-07-21T17:02:37Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"fcf12f71b3f15f32970bcc4b9267a6cdeb59032298a1f4cb9f71732b0b3c6d1f","abstract_canon_sha256":"6766b42b836a95bb85b27e66ccaa14a0d164f71d9ed7787b66cb65f9e33e8efe"},"schema_version":"1.0"},"canonical_sha256":"6c1c34b7e07a08ad6a997a2656861a8345b39b3585f114cfdacc4b97e054ebde","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-22T01:24:18.576606Z","signature_b64":"5OzopVhWiW9ny5Hg7mnAqMGkmL7xJvO6IxVoGwHxSWshYS5/9BS78lDkJDEZxrH/dK9pr0dznG8P5oxAHjzoDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c1c34b7e07a08ad6a997a2656861a8345b39b3585f114cfdacc4b97e054ebde","last_reissued_at":"2026-07-22T01:24:18.575674Z","signature_status":"signed_v1","first_computed_at":"2026-07-22T01:24:18.575674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.19292","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":"2026-07-22T01:24:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QYET7OfjucUJ9WVRQf2FjrJQx849pX5UDChGnvM49cjFcmB2iVux0ZIs9ZsDj8xdsP09+5k3SQftoXlE0mgaAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:03:09.126921Z"},"content_sha256":"ef98412bccabe81bf144e33071424a8f654155a279560711d50e641430c83f78","schema_version":"1.0","event_id":"sha256:ef98412bccabe81bf144e33071424a8f654155a279560711d50e641430c83f78"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NQODJN7APIEK22UZPITFNBQ2QN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CY","authors_text":"Enkelejda Kasneci, Gjergji Kasneci","submitted_at":"2026-07-21T17:02:37Z","abstract_excerpt":"Current AI safety discourse still focuses disproportionately on visible failures, including obvious harms, dramatic misuse, and hypothetical catastrophic scenarios. That focus is incomplete. In deployed systems, many of the most consequential failures are quieter: plausible rather than spectacular, distributed across components rather than localized in a single output, and normalized by workflows before they are recognized as hazards. We argue that a central safety challenge in modern AI systems is increasingly not only whether a model emits a harmful response, but whether the broader socio-te"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.19292","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/2607.19292/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":"2026-07-22T01:24:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7n677BSeN5dFTCI8VAOP02bLu8B3DLs4NMAG+EM4r0BmaTkjp5MK9AlQm+cK8tThh/ZTTTHz0WOm1h52M+aSDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:03:09.127450Z"},"content_sha256":"9ab217387f4a8608214d10cee24fcafbe14d3a5bf5e4ad99407de9a4f9077a44","schema_version":"1.0","event_id":"sha256:9ab217387f4a8608214d10cee24fcafbe14d3a5bf5e4ad99407de9a4f9077a44"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:NQODJN7APIEK22UZPITFNBQ2QN","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/s11023-022-09611-z) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Alfrink, K., Keller, I., Kortuem, G., & Doorn, N. (2023). Contestable AI by design: Towards a framework.Minds and Machines,33(4), 613–639. https://doi.org/10.1007/s11023-022- 09611-z","arxiv_id":"2607.19292","detector":"doi_compliance","evidence":{"ref_index":3,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/s11023-022-","reconstructed_doi":"10.1007/s11023-022-09611-z"},"severity":"advisory","ref_index":3,"audited_at":"2026-08-01T13:00:02.109581Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/s11023-022-09611-z","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"4f65d21b9f4fde58af47d8845daf48e0dd9e3014ae4ae700b4eca809d8a121ef","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":15840,"payload_sha256":"33ab62dfdbce14ae783bef57b8764887850686a1235e6fc2c278dbab9d0ed1fe","signature_b64":"ZjM6RwIa6/uJrk/FCZC9VNQrXVMZ5wTg+rN3Zs/vU1fFRX6FO/snEUk76wkXRRJCBlycLHMBzQdHXIHxJ2Q7Dg==","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":"2026-08-01T13:04:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wGcAjMw74eNgKqKbQmqc/xhv90clU58gkZXQQtAOBPJ2HLShujJHemDfryI7tbG3hHmH8cGNsV2k6Hqnm9dcDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:03:09.130243Z"},"content_sha256":"912f8f3f4284c0bbb80b7e77d2c85a1db4d528824c7578670d164330372adb8b","schema_version":"1.0","event_id":"sha256:912f8f3f4284c0bbb80b7e77d2c85a1db4d528824c7578670d164330372adb8b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NQODJN7APIEK22UZPITFNBQ2QN/bundle.json","state_url":"https://pith.science/pith/NQODJN7APIEK22UZPITFNBQ2QN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NQODJN7APIEK22UZPITFNBQ2QN/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":"2026-08-04T10:03:09Z","links":{"resolver":"https://pith.science/pith/NQODJN7APIEK22UZPITFNBQ2QN","bundle":"https://pith.science/pith/NQODJN7APIEK22UZPITFNBQ2QN/bundle.json","state":"https://pith.science/pith/NQODJN7APIEK22UZPITFNBQ2QN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NQODJN7APIEK22UZPITFNBQ2QN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NQODJN7APIEK22UZPITFNBQ2QN","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":"6766b42b836a95bb85b27e66ccaa14a0d164f71d9ed7787b66cb65f9e33e8efe","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-07-21T17:02:37Z","title_canon_sha256":"fcf12f71b3f15f32970bcc4b9267a6cdeb59032298a1f4cb9f71732b0b3c6d1f"},"schema_version":"1.0","source":{"id":"2607.19292","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.19292","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.19292v1","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.19292","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"pith_short_12","alias_value":"NQODJN7APIEK","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"pith_short_16","alias_value":"NQODJN7APIEK22UZ","created_at":"2026-07-22T01:24:18Z"},{"alias_kind":"pith_short_8","alias_value":"NQODJN7A","created_at":"2026-07-22T01:24:18Z"}],"graph_snapshots":[{"event_id":"sha256:9ab217387f4a8608214d10cee24fcafbe14d3a5bf5e4ad99407de9a4f9077a44","target":"graph","created_at":"2026-07-22T01:24:18Z","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/2607.19292/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current AI safety discourse still focuses disproportionately on visible failures, including obvious harms, dramatic misuse, and hypothetical catastrophic scenarios. That focus is incomplete. In deployed systems, many of the most consequential failures are quieter: plausible rather than spectacular, distributed across components rather than localized in a single output, and normalized by workflows before they are recognized as hazards. We argue that a central safety challenge in modern AI systems is increasingly not only whether a model emits a harmful response, but whether the broader socio-te","authors_text":"Enkelejda Kasneci, Gjergji Kasneci","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-07-21T17:02:37Z","title":"The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.19292","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:ef98412bccabe81bf144e33071424a8f654155a279560711d50e641430c83f78","target":"record","created_at":"2026-07-22T01:24:18Z","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":"6766b42b836a95bb85b27e66ccaa14a0d164f71d9ed7787b66cb65f9e33e8efe","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-07-21T17:02:37Z","title_canon_sha256":"fcf12f71b3f15f32970bcc4b9267a6cdeb59032298a1f4cb9f71732b0b3c6d1f"},"schema_version":"1.0","source":{"id":"2607.19292","kind":"arxiv","version":1}},"canonical_sha256":"6c1c34b7e07a08ad6a997a2656861a8345b39b3585f114cfdacc4b97e054ebde","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6c1c34b7e07a08ad6a997a2656861a8345b39b3585f114cfdacc4b97e054ebde","first_computed_at":"2026-07-22T01:24:18.575674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-22T01:24:18.575674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5OzopVhWiW9ny5Hg7mnAqMGkmL7xJvO6IxVoGwHxSWshYS5/9BS78lDkJDEZxrH/dK9pr0dznG8P5oxAHjzoDg==","signature_status":"signed_v1","signed_at":"2026-07-22T01:24:18.576606Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.19292","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef98412bccabe81bf144e33071424a8f654155a279560711d50e641430c83f78","sha256:9ab217387f4a8608214d10cee24fcafbe14d3a5bf5e4ad99407de9a4f9077a44","sha256:912f8f3f4284c0bbb80b7e77d2c85a1db4d528824c7578670d164330372adb8b"],"state_sha256":"20b0202f9ef1da405496ffcfbe63df0c0e5beddc8022e8f1d6941ad502a476db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uOoMYNYLMz+flI/rGFbEA4iQLVkQFQ8IRrpAHQVx2dl04QlX5i3u82DZXZ5ajwnGKJn14Uhx70fbJxUOXI4NBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T10:03:09.132547Z","bundle_sha256":"e4a2c7eff16bfc1b0cb9779df456686fa44dc89bdcbcbd73f48557951716abfd"}}