{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:T3RNEQJZDEBG2ZX5AVN3T4VRR3","short_pith_number":"pith:T3RNEQJZ","schema_version":"1.0","canonical_sha256":"9ee2d2413919026d66fd055bb9f2b18ef4383a0da7155eb22801a912ebb30c72","source":{"kind":"arxiv","id":"1611.07443","version":1},"attestation_state":"computed","paper":{"title":"Mapping chemical performance on molecular structures using locally interpretable explanations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.chem-ph"],"primary_cat":"stat.ML","authors_text":"Anthe George, Corey M. Hudson, Leanne S. Whitmore","submitted_at":"2016-11-22T18:14:45Z","abstract_excerpt":"In this work, we present an application of Locally Interpretable Machine-Agnostic Explanations to 2-D chemical structures. Using this framework we are able to provide a structural interpretation for an existing black-box model for classifying biologically produced fuel compounds with regard to Research Octane Number. This method of \"painting\" locally interpretable explanations onto 2-D chemical structures replicates the chemical intuition of synthetic chemists, allowing researchers in the field to directly accept, reject, inform and evaluate decisions underlying inscrutably complex quantitativ"},"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":"1611.07443","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2016-11-22T18:14:45Z","cross_cats_sorted":["physics.chem-ph"],"title_canon_sha256":"7828bcedbc31e380ec2eaa5c210220428e83ca02514f44ac5ea8e5186692fb12","abstract_canon_sha256":"baeb106fb265f66b471e7bfd98f066fa67c57b8d4263a8d4fa7f2ca48c4202ae"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:57:20.110179Z","signature_b64":"XZUsBLT+aVYcfVzvvIh2wSZ6F/QsO3Q9sesFdnksodNrfWkZG+hWEygsmk9kXvQ+nn4TifqObYOm5EeFYvQgDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ee2d2413919026d66fd055bb9f2b18ef4383a0da7155eb22801a912ebb30c72","last_reissued_at":"2026-05-18T00:57:20.109688Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:57:20.109688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mapping chemical performance on molecular structures using locally interpretable explanations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.chem-ph"],"primary_cat":"stat.ML","authors_text":"Anthe George, Corey M. Hudson, Leanne S. Whitmore","submitted_at":"2016-11-22T18:14:45Z","abstract_excerpt":"In this work, we present an application of Locally Interpretable Machine-Agnostic Explanations to 2-D chemical structures. Using this framework we are able to provide a structural interpretation for an existing black-box model for classifying biologically produced fuel compounds with regard to Research Octane Number. This method of \"painting\" locally interpretable explanations onto 2-D chemical structures replicates the chemical intuition of synthetic chemists, allowing researchers in the field to directly accept, reject, inform and evaluate decisions underlying inscrutably complex quantitativ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.07443","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":""},"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":"1611.07443","created_at":"2026-05-18T00:57:20.109753+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.07443v1","created_at":"2026-05-18T00:57:20.109753+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.07443","created_at":"2026-05-18T00:57:20.109753+00:00"},{"alias_kind":"pith_short_12","alias_value":"T3RNEQJZDEBG","created_at":"2026-05-18T12:30:44.179134+00:00"},{"alias_kind":"pith_short_16","alias_value":"T3RNEQJZDEBG2ZX5","created_at":"2026-05-18T12:30:44.179134+00:00"},{"alias_kind":"pith_short_8","alias_value":"T3RNEQJZ","created_at":"2026-05-18T12:30:44.179134+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/T3RNEQJZDEBG2ZX5AVN3T4VRR3","json":"https://pith.science/pith/T3RNEQJZDEBG2ZX5AVN3T4VRR3.json","graph_json":"https://pith.science/api/pith-number/T3RNEQJZDEBG2ZX5AVN3T4VRR3/graph.json","events_json":"https://pith.science/api/pith-number/T3RNEQJZDEBG2ZX5AVN3T4VRR3/events.json","paper":"https://pith.science/paper/T3RNEQJZ"},"agent_actions":{"view_html":"https://pith.science/pith/T3RNEQJZDEBG2ZX5AVN3T4VRR3","download_json":"https://pith.science/pith/T3RNEQJZDEBG2ZX5AVN3T4VRR3.json","view_paper":"https://pith.science/paper/T3RNEQJZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.07443&json=true","fetch_graph":"https://pith.science/api/pith-number/T3RNEQJZDEBG2ZX5AVN3T4VRR3/graph.json","fetch_events":"https://pith.science/api/pith-number/T3RNEQJZDEBG2ZX5AVN3T4VRR3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T3RNEQJZDEBG2ZX5AVN3T4VRR3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T3RNEQJZDEBG2ZX5AVN3T4VRR3/action/storage_attestation","attest_author":"https://pith.science/pith/T3RNEQJZDEBG2ZX5AVN3T4VRR3/action/author_attestation","sign_citation":"https://pith.science/pith/T3RNEQJZDEBG2ZX5AVN3T4VRR3/action/citation_signature","submit_replication":"https://pith.science/pith/T3RNEQJZDEBG2ZX5AVN3T4VRR3/action/replication_record"}},"created_at":"2026-05-18T00:57:20.109753+00:00","updated_at":"2026-05-18T00:57:20.109753+00:00"}