{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:S3CTCAHHFERRI4NTXS6PPT6QUL","short_pith_number":"pith:S3CTCAHH","schema_version":"1.0","canonical_sha256":"96c53100e729231471b3bcbcf7cfd0a2d2c5320d2a2590a2eb907a8ab8955764","source":{"kind":"arxiv","id":"2012.07179","version":1},"attestation_state":"computed","paper":{"title":"Explanation from Specification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Gy\\\"orgy Tur\\'an, Harish Naik","submitted_at":"2020-12-13T23:27:48Z","abstract_excerpt":"Explainable components in XAI algorithms often come from a familiar set of models, such as linear models or decision trees. We formulate an approach where the type of explanation produced is guided by a specification. Specifications are elicited from the user, possibly using interaction with the user and contributions from other areas. Areas where a specification could be obtained include forensic, medical, and scientific applications. Providing a menu of possible types of specifications in an area is an exploratory knowledge representation and reasoning task for the algorithm designer, aiming"},"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":"2012.07179","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-12-13T23:27:48Z","cross_cats_sorted":["cs.AI","cs.HC","stat.ML"],"title_canon_sha256":"f9e2c1f048920a2cf089843b9050762cefb5debe8e7c164255f3cbd5f1fdafd0","abstract_canon_sha256":"3a727cc898d6386b133bc6d2a3794e3709dde2bbf8712f077ee5399e97cf1009"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:59:18.022982Z","signature_b64":"miHdRH286PtxBK0euJcNNUzTkMpc7/aQfUkukajlny1mPeKTQNfereTKpJ8wpt/K3UNEE173xvcmLPSN/6z2DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96c53100e729231471b3bcbcf7cfd0a2d2c5320d2a2590a2eb907a8ab8955764","last_reissued_at":"2026-07-05T01:59:18.022636Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:59:18.022636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Explanation from Specification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Gy\\\"orgy Tur\\'an, Harish Naik","submitted_at":"2020-12-13T23:27:48Z","abstract_excerpt":"Explainable components in XAI algorithms often come from a familiar set of models, such as linear models or decision trees. We formulate an approach where the type of explanation produced is guided by a specification. Specifications are elicited from the user, possibly using interaction with the user and contributions from other areas. Areas where a specification could be obtained include forensic, medical, and scientific applications. Providing a menu of possible types of specifications in an area is an exploratory knowledge representation and reasoning task for the algorithm designer, aiming"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.07179","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/2012.07179/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":"2012.07179","created_at":"2026-07-05T01:59:18.022688+00:00"},{"alias_kind":"arxiv_version","alias_value":"2012.07179v1","created_at":"2026-07-05T01:59:18.022688+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.07179","created_at":"2026-07-05T01:59:18.022688+00:00"},{"alias_kind":"pith_short_12","alias_value":"S3CTCAHHFERR","created_at":"2026-07-05T01:59:18.022688+00:00"},{"alias_kind":"pith_short_16","alias_value":"S3CTCAHHFERRI4NT","created_at":"2026-07-05T01:59:18.022688+00:00"},{"alias_kind":"pith_short_8","alias_value":"S3CTCAHH","created_at":"2026-07-05T01:59:18.022688+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/S3CTCAHHFERRI4NTXS6PPT6QUL","json":"https://pith.science/pith/S3CTCAHHFERRI4NTXS6PPT6QUL.json","graph_json":"https://pith.science/api/pith-number/S3CTCAHHFERRI4NTXS6PPT6QUL/graph.json","events_json":"https://pith.science/api/pith-number/S3CTCAHHFERRI4NTXS6PPT6QUL/events.json","paper":"https://pith.science/paper/S3CTCAHH"},"agent_actions":{"view_html":"https://pith.science/pith/S3CTCAHHFERRI4NTXS6PPT6QUL","download_json":"https://pith.science/pith/S3CTCAHHFERRI4NTXS6PPT6QUL.json","view_paper":"https://pith.science/paper/S3CTCAHH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2012.07179&json=true","fetch_graph":"https://pith.science/api/pith-number/S3CTCAHHFERRI4NTXS6PPT6QUL/graph.json","fetch_events":"https://pith.science/api/pith-number/S3CTCAHHFERRI4NTXS6PPT6QUL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/S3CTCAHHFERRI4NTXS6PPT6QUL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/S3CTCAHHFERRI4NTXS6PPT6QUL/action/storage_attestation","attest_author":"https://pith.science/pith/S3CTCAHHFERRI4NTXS6PPT6QUL/action/author_attestation","sign_citation":"https://pith.science/pith/S3CTCAHHFERRI4NTXS6PPT6QUL/action/citation_signature","submit_replication":"https://pith.science/pith/S3CTCAHHFERRI4NTXS6PPT6QUL/action/replication_record"}},"created_at":"2026-07-05T01:59:18.022688+00:00","updated_at":"2026-07-05T01:59:18.022688+00:00"}