{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:LMKONQ4SFNFAZR3Q564MRE4JZC","short_pith_number":"pith:LMKONQ4S","schema_version":"1.0","canonical_sha256":"5b14e6c3922b4a0cc770efb8c89389c8a490a8494f25a6c7f1b0cba29f9613d6","source":{"kind":"arxiv","id":"2103.16953","version":2},"attestation_state":"computed","paper":{"title":"Mitigating Bias in Algorithmic Systems -- A Fish-Eye View","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"AlanHartman, Avital Shulner Tal, Fausto Giunchiglia, Jahna Otterbacher, Kalia Orphanou, Khuyagbaatar Batsuren, Styliani Kleanthous, Tsvi Kuflik, Veronika Bogina","submitted_at":"2021-03-31T10:14:28Z","abstract_excerpt":"Mitigating bias in algorithmic systems is a critical issue drawing attention across communities within the information and computer sciences. Given the complexity of the problem and the involvement of multiple stakeholders -- including developers, end-users, and third parties -- there is a need to understand the landscape of the sources of bias, and the solutions being proposed to address them, from a broad, cross-domain perspective. This survey provides a \"fish-eye view,\" examining approaches across four areas of research. The literature describes three steps toward a comprehensive treatment "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2103.16953","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2021-03-31T10:14:28Z","cross_cats_sorted":[],"title_canon_sha256":"3cfefa1d233d119ec79985e480aceddf4d27c2f7974b819a1ca098db12576fae","abstract_canon_sha256":"7344dd426991a408954dd1ba8952c0dd530e62fd5e69471642a95678b5001954"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:58:15.323232Z","signature_b64":"LX4KYNaB7DOpSk+ZkIHQmMw/qAxl+t95Af2NXzNZBkubTD4LAvwIX/3SifjLv4i4srU+eJyZD1/YAZsAUr4+Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b14e6c3922b4a0cc770efb8c89389c8a490a8494f25a6c7f1b0cba29f9613d6","last_reissued_at":"2026-07-05T03:58:15.322743Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:58:15.322743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mitigating Bias in Algorithmic Systems -- A Fish-Eye View","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"AlanHartman, Avital Shulner Tal, Fausto Giunchiglia, Jahna Otterbacher, Kalia Orphanou, Khuyagbaatar Batsuren, Styliani Kleanthous, Tsvi Kuflik, Veronika Bogina","submitted_at":"2021-03-31T10:14:28Z","abstract_excerpt":"Mitigating bias in algorithmic systems is a critical issue drawing attention across communities within the information and computer sciences. Given the complexity of the problem and the involvement of multiple stakeholders -- including developers, end-users, and third parties -- there is a need to understand the landscape of the sources of bias, and the solutions being proposed to address them, from a broad, cross-domain perspective. This survey provides a \"fish-eye view,\" examining approaches across four areas of research. The literature describes three steps toward a comprehensive treatment "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.16953","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/2103.16953/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2103.16953","created_at":"2026-07-05T03:58:15.322802+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.16953v2","created_at":"2026-07-05T03:58:15.322802+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.16953","created_at":"2026-07-05T03:58:15.322802+00:00"},{"alias_kind":"pith_short_12","alias_value":"LMKONQ4SFNFA","created_at":"2026-07-05T03:58:15.322802+00:00"},{"alias_kind":"pith_short_16","alias_value":"LMKONQ4SFNFAZR3Q","created_at":"2026-07-05T03:58:15.322802+00:00"},{"alias_kind":"pith_short_8","alias_value":"LMKONQ4S","created_at":"2026-07-05T03:58:15.322802+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LMKONQ4SFNFAZR3Q564MRE4JZC","json":"https://pith.science/pith/LMKONQ4SFNFAZR3Q564MRE4JZC.json","graph_json":"https://pith.science/api/pith-number/LMKONQ4SFNFAZR3Q564MRE4JZC/graph.json","events_json":"https://pith.science/api/pith-number/LMKONQ4SFNFAZR3Q564MRE4JZC/events.json","paper":"https://pith.science/paper/LMKONQ4S"},"agent_actions":{"view_html":"https://pith.science/pith/LMKONQ4SFNFAZR3Q564MRE4JZC","download_json":"https://pith.science/pith/LMKONQ4SFNFAZR3Q564MRE4JZC.json","view_paper":"https://pith.science/paper/LMKONQ4S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.16953&json=true","fetch_graph":"https://pith.science/api/pith-number/LMKONQ4SFNFAZR3Q564MRE4JZC/graph.json","fetch_events":"https://pith.science/api/pith-number/LMKONQ4SFNFAZR3Q564MRE4JZC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LMKONQ4SFNFAZR3Q564MRE4JZC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LMKONQ4SFNFAZR3Q564MRE4JZC/action/storage_attestation","attest_author":"https://pith.science/pith/LMKONQ4SFNFAZR3Q564MRE4JZC/action/author_attestation","sign_citation":"https://pith.science/pith/LMKONQ4SFNFAZR3Q564MRE4JZC/action/citation_signature","submit_replication":"https://pith.science/pith/LMKONQ4SFNFAZR3Q564MRE4JZC/action/replication_record"}},"created_at":"2026-07-05T03:58:15.322802+00:00","updated_at":"2026-07-05T03:58:15.322802+00:00"}