{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OYZCPGHHURY4I2RB7QNJZNP5PX","short_pith_number":"pith:OYZCPGHH","canonical_record":{"source":{"id":"2309.13933","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2023-09-25T08:04:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b24fd0020d06effeb09b8c6cd3fea8230f5bc0399e382bb9af77793f65c88ad9","abstract_canon_sha256":"fa5baa0d649608e7c257a13168e5313628e168e67cd3fda7771edc77581c7831"},"schema_version":"1.0"},"canonical_sha256":"76322798e7a471c46a21fc1a9cb5fd7df544d0a1282319e1442b5ecfc09145af","source":{"kind":"arxiv","id":"2309.13933","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.13933","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"arxiv_version","alias_value":"2309.13933v4","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.13933","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"pith_short_12","alias_value":"OYZCPGHHURY4","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"pith_short_16","alias_value":"OYZCPGHHURY4I2RB","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"pith_short_8","alias_value":"OYZCPGHH","created_at":"2026-07-05T11:28:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OYZCPGHHURY4I2RB7QNJZNP5PX","target":"record","payload":{"canonical_record":{"source":{"id":"2309.13933","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2023-09-25T08:04:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b24fd0020d06effeb09b8c6cd3fea8230f5bc0399e382bb9af77793f65c88ad9","abstract_canon_sha256":"fa5baa0d649608e7c257a13168e5313628e168e67cd3fda7771edc77581c7831"},"schema_version":"1.0"},"canonical_sha256":"76322798e7a471c46a21fc1a9cb5fd7df544d0a1282319e1442b5ecfc09145af","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:09.114037Z","signature_b64":"B/XUQEdJRscmRV366FTaWxeZxLhlKasTkbbt3iSzqygw9AxaoPRWNdv2Ngz1j1N/8twURPMCACHeUiAttJ0VDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"76322798e7a471c46a21fc1a9cb5fd7df544d0a1282319e1442b5ecfc09145af","last_reissued_at":"2026-07-05T11:28:09.113536Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:09.113536Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.13933","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:28:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"txXuEEQWpKiwngXtVC4fR9IDA7eXeJROI20/mHan3jmqWVm6b9ZN+k4sniTAaKngnaRqz7l00H9dRP6ikOFkBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T11:16:08.141102Z"},"content_sha256":"56dfc094b1bb580e32fe27e64e44083d9a4884f92b585d5648e018a7f2226316","schema_version":"1.0","event_id":"sha256:56dfc094b1bb580e32fe27e64e44083d9a4884f92b585d5648e018a7f2226316"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OYZCPGHHURY4I2RB7QNJZNP5PX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Alessandro Fabris, Asia J. Biega, David Graus, Frederik Zuiderveen Borgesius, Jorge Saldivar, Matthew J. Dennis, Nina Baranowska, Philipp Hacker","submitted_at":"2023-09-25T08:04:18Z","abstract_excerpt":"Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and structural inequalities. Unfortunately, most work in this space provides partial treatment, often constrained by two competing narratives, optimistically focused on replacing biased recruiter decisions or pessimistically pointing to the automation of discrimination. Whether, and more importantly what types of, algorithmic hiring can be less biased and more beneficial to society than low-tech alternatives currently rema"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.13933","kind":"arxiv","version":4},"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/2309.13933/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":"2026-07-05T11:28:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TeDEQNJVmj+BOsIdfdVz21h8Wnw1PXvr1bFLQ8i4lVZ0RBLEN1nJrTMMKXTbVukzjGN1hXfGjrGYbDmb15hACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T11:16:08.141664Z"},"content_sha256":"be0d9d8627690d62dc6aa210b1889253ed7afca7cd79bdbb0041679e2407a2dd","schema_version":"1.0","event_id":"sha256:be0d9d8627690d62dc6aa210b1889253ed7afca7cd79bdbb0041679e2407a2dd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OYZCPGHHURY4I2RB7QNJZNP5PX/bundle.json","state_url":"https://pith.science/pith/OYZCPGHHURY4I2RB7QNJZNP5PX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OYZCPGHHURY4I2RB7QNJZNP5PX/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":"2026-08-07T11:16:08Z","links":{"resolver":"https://pith.science/pith/OYZCPGHHURY4I2RB7QNJZNP5PX","bundle":"https://pith.science/pith/OYZCPGHHURY4I2RB7QNJZNP5PX/bundle.json","state":"https://pith.science/pith/OYZCPGHHURY4I2RB7QNJZNP5PX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OYZCPGHHURY4I2RB7QNJZNP5PX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OYZCPGHHURY4I2RB7QNJZNP5PX","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":"fa5baa0d649608e7c257a13168e5313628e168e67cd3fda7771edc77581c7831","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2023-09-25T08:04:18Z","title_canon_sha256":"b24fd0020d06effeb09b8c6cd3fea8230f5bc0399e382bb9af77793f65c88ad9"},"schema_version":"1.0","source":{"id":"2309.13933","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.13933","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"arxiv_version","alias_value":"2309.13933v4","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.13933","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"pith_short_12","alias_value":"OYZCPGHHURY4","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"pith_short_16","alias_value":"OYZCPGHHURY4I2RB","created_at":"2026-07-05T11:28:09Z"},{"alias_kind":"pith_short_8","alias_value":"OYZCPGHH","created_at":"2026-07-05T11:28:09Z"}],"graph_snapshots":[{"event_id":"sha256:be0d9d8627690d62dc6aa210b1889253ed7afca7cd79bdbb0041679e2407a2dd","target":"graph","created_at":"2026-07-05T11:28:09Z","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/2309.13933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and structural inequalities. Unfortunately, most work in this space provides partial treatment, often constrained by two competing narratives, optimistically focused on replacing biased recruiter decisions or pessimistically pointing to the automation of discrimination. Whether, and more importantly what types of, algorithmic hiring can be less biased and more beneficial to society than low-tech alternatives currently rema","authors_text":"Alessandro Fabris, Asia J. Biega, David Graus, Frederik Zuiderveen Borgesius, Jorge Saldivar, Matthew J. Dennis, Nina Baranowska, Philipp Hacker","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2023-09-25T08:04:18Z","title":"Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.13933","kind":"arxiv","version":4},"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":"sha256:56dfc094b1bb580e32fe27e64e44083d9a4884f92b585d5648e018a7f2226316","target":"record","created_at":"2026-07-05T11:28:09Z","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":"fa5baa0d649608e7c257a13168e5313628e168e67cd3fda7771edc77581c7831","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2023-09-25T08:04:18Z","title_canon_sha256":"b24fd0020d06effeb09b8c6cd3fea8230f5bc0399e382bb9af77793f65c88ad9"},"schema_version":"1.0","source":{"id":"2309.13933","kind":"arxiv","version":4}},"canonical_sha256":"76322798e7a471c46a21fc1a9cb5fd7df544d0a1282319e1442b5ecfc09145af","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76322798e7a471c46a21fc1a9cb5fd7df544d0a1282319e1442b5ecfc09145af","first_computed_at":"2026-07-05T11:28:09.113536Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:09.113536Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B/XUQEdJRscmRV366FTaWxeZxLhlKasTkbbt3iSzqygw9AxaoPRWNdv2Ngz1j1N/8twURPMCACHeUiAttJ0VDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:09.114037Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.13933","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56dfc094b1bb580e32fe27e64e44083d9a4884f92b585d5648e018a7f2226316","sha256:be0d9d8627690d62dc6aa210b1889253ed7afca7cd79bdbb0041679e2407a2dd"],"state_sha256":"5a8e7d593e529556b75fa5a7d86a36a753adf6622ef4eb49bbe29ec27676178d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HAk9MRqfgmfI3SJgrIUKeHUc6BO3JuolFEiqEwHECnKwxiSG+2QP4fv/rE9KoYNM71ozw0k/zYzvov54MBcjBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T11:16:08.145520Z","bundle_sha256":"4b954fa61a5b8ca6bdbe2e024cb0847e92efd2f1e2455957e17f93914d90ea1d"}}