{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:O4XU24S6U7Y6HARF56223VI3AP","short_pith_number":"pith:O4XU24S6","schema_version":"1.0","canonical_sha256":"772f4d725ea7f1e38225efb5add51b03e08552be1408d76a51be096ef4411ed9","source":{"kind":"arxiv","id":"2009.14795","version":2},"attestation_state":"computed","paper":{"title":"Explaining AI as an Exploratory Process: The Peircean Abduction Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Robert R. Hoffman, Shane T. Mueller, William J. Clancey","submitted_at":"2020-09-30T17:10:37Z","abstract_excerpt":"Current discussions of \"Explainable AI\" (XAI) do not much consider the role of abduction in explanatory reasoning (see Mueller, et al., 2018). It might be worthwhile to pursue this, to develop intelligent systems that allow for the observation and analysis of abductive reasoning and the assessment of abductive reasoning as a learnable skill. Abductive inference has been defined in many ways. For example, it has been defined as the achievement of insight. Most often abduction is taken as a single, punctuated act of syllogistic reasoning, like making a deductive or inductive inference from given"},"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":"2009.14795","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-09-30T17:10:37Z","cross_cats_sorted":[],"title_canon_sha256":"170d65babf2ed920fea90bd5d82633523f97b91622f4cb7256e444d4d8849721","abstract_canon_sha256":"cf8d26a67ddfa35256592a702cd67148546ccde4fe3043184ec9a191a3f57683"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:39:39.230589Z","signature_b64":"Ac74HovuGCcBcBIrEdcQR3yPaOiT0PqccNdTixMHX7DGnGdlzLAjE5wmDv+VsS1AsFyDMdAUuG4SF19nlA+4Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"772f4d725ea7f1e38225efb5add51b03e08552be1408d76a51be096ef4411ed9","last_reissued_at":"2026-07-05T01:39:39.230243Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:39:39.230243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Explaining AI as an Exploratory Process: The Peircean Abduction Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Robert R. Hoffman, Shane T. Mueller, William J. Clancey","submitted_at":"2020-09-30T17:10:37Z","abstract_excerpt":"Current discussions of \"Explainable AI\" (XAI) do not much consider the role of abduction in explanatory reasoning (see Mueller, et al., 2018). It might be worthwhile to pursue this, to develop intelligent systems that allow for the observation and analysis of abductive reasoning and the assessment of abductive reasoning as a learnable skill. Abductive inference has been defined in many ways. For example, it has been defined as the achievement of insight. Most often abduction is taken as a single, punctuated act of syllogistic reasoning, like making a deductive or inductive inference from given"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.14795","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/2009.14795/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":"2009.14795","created_at":"2026-07-05T01:39:39.230296+00:00"},{"alias_kind":"arxiv_version","alias_value":"2009.14795v2","created_at":"2026-07-05T01:39:39.230296+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.14795","created_at":"2026-07-05T01:39:39.230296+00:00"},{"alias_kind":"pith_short_12","alias_value":"O4XU24S6U7Y6","created_at":"2026-07-05T01:39:39.230296+00:00"},{"alias_kind":"pith_short_16","alias_value":"O4XU24S6U7Y6HARF","created_at":"2026-07-05T01:39:39.230296+00:00"},{"alias_kind":"pith_short_8","alias_value":"O4XU24S6","created_at":"2026-07-05T01:39:39.230296+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/O4XU24S6U7Y6HARF56223VI3AP","json":"https://pith.science/pith/O4XU24S6U7Y6HARF56223VI3AP.json","graph_json":"https://pith.science/api/pith-number/O4XU24S6U7Y6HARF56223VI3AP/graph.json","events_json":"https://pith.science/api/pith-number/O4XU24S6U7Y6HARF56223VI3AP/events.json","paper":"https://pith.science/paper/O4XU24S6"},"agent_actions":{"view_html":"https://pith.science/pith/O4XU24S6U7Y6HARF56223VI3AP","download_json":"https://pith.science/pith/O4XU24S6U7Y6HARF56223VI3AP.json","view_paper":"https://pith.science/paper/O4XU24S6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2009.14795&json=true","fetch_graph":"https://pith.science/api/pith-number/O4XU24S6U7Y6HARF56223VI3AP/graph.json","fetch_events":"https://pith.science/api/pith-number/O4XU24S6U7Y6HARF56223VI3AP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O4XU24S6U7Y6HARF56223VI3AP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O4XU24S6U7Y6HARF56223VI3AP/action/storage_attestation","attest_author":"https://pith.science/pith/O4XU24S6U7Y6HARF56223VI3AP/action/author_attestation","sign_citation":"https://pith.science/pith/O4XU24S6U7Y6HARF56223VI3AP/action/citation_signature","submit_replication":"https://pith.science/pith/O4XU24S6U7Y6HARF56223VI3AP/action/replication_record"}},"created_at":"2026-07-05T01:39:39.230296+00:00","updated_at":"2026-07-05T01:39:39.230296+00:00"}