{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:7HFPD5DW7PGNBSW5JDTSKB73ST","short_pith_number":"pith:7HFPD5DW","schema_version":"1.0","canonical_sha256":"f9caf1f476fbccd0cadd48e72507fb94e19ec352f63c7a6c691d3a01e375610c","source":{"kind":"arxiv","id":"1608.08015","version":1},"attestation_state":"computed","paper":{"title":"Event Selection Rules to Compute Explanations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Charles Prud'homme, Narendra Jussien, Xavier Lorca","submitted_at":"2016-08-29T12:07:04Z","abstract_excerpt":"Explanations have been introduced in the previous century. Their interest in reducing the search space is no longer questioned. Yet, their efficient implementation into CSP solver is still a challenge. In this paper, we introduce ESeR, an Event Selection Rules algorithm that filters events generated during propagation. This dynamic selection enables an efficient computation of explanations for intelligent backtracking al- gorithms. We show the effectiveness of our approach on the instances of the last three MiniZinc challenges"},"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":"1608.08015","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-08-29T12:07:04Z","cross_cats_sorted":[],"title_canon_sha256":"eb59918ae9f602faffa407c791ef1d5690dbf30e4a33b43c5909914935d5cddd","abstract_canon_sha256":"fa9aec5137751ccdb5609195c8b2406f0133de63c1c0ca2083e76bea5f65317b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:07:49.346559Z","signature_b64":"TdPCr36V6lU/BaPrEOPgFrTSLgWjd8ux6PfXl4PRG71bKlVhDPiQE/Z55ZTcFHzO1axp2l0MjCjxCLAKrAHKBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9caf1f476fbccd0cadd48e72507fb94e19ec352f63c7a6c691d3a01e375610c","last_reissued_at":"2026-05-18T01:07:49.345720Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:07:49.345720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Event Selection Rules to Compute Explanations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Charles Prud'homme, Narendra Jussien, Xavier Lorca","submitted_at":"2016-08-29T12:07:04Z","abstract_excerpt":"Explanations have been introduced in the previous century. Their interest in reducing the search space is no longer questioned. Yet, their efficient implementation into CSP solver is still a challenge. In this paper, we introduce ESeR, an Event Selection Rules algorithm that filters events generated during propagation. This dynamic selection enables an efficient computation of explanations for intelligent backtracking al- gorithms. We show the effectiveness of our approach on the instances of the last three MiniZinc challenges"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.08015","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":"1608.08015","created_at":"2026-05-18T01:07:49.345838+00:00"},{"alias_kind":"arxiv_version","alias_value":"1608.08015v1","created_at":"2026-05-18T01:07:49.345838+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.08015","created_at":"2026-05-18T01:07:49.345838+00:00"},{"alias_kind":"pith_short_12","alias_value":"7HFPD5DW7PGN","created_at":"2026-05-18T12:30:04.600751+00:00"},{"alias_kind":"pith_short_16","alias_value":"7HFPD5DW7PGNBSW5","created_at":"2026-05-18T12:30:04.600751+00:00"},{"alias_kind":"pith_short_8","alias_value":"7HFPD5DW","created_at":"2026-05-18T12:30:04.600751+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/7HFPD5DW7PGNBSW5JDTSKB73ST","json":"https://pith.science/pith/7HFPD5DW7PGNBSW5JDTSKB73ST.json","graph_json":"https://pith.science/api/pith-number/7HFPD5DW7PGNBSW5JDTSKB73ST/graph.json","events_json":"https://pith.science/api/pith-number/7HFPD5DW7PGNBSW5JDTSKB73ST/events.json","paper":"https://pith.science/paper/7HFPD5DW"},"agent_actions":{"view_html":"https://pith.science/pith/7HFPD5DW7PGNBSW5JDTSKB73ST","download_json":"https://pith.science/pith/7HFPD5DW7PGNBSW5JDTSKB73ST.json","view_paper":"https://pith.science/paper/7HFPD5DW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1608.08015&json=true","fetch_graph":"https://pith.science/api/pith-number/7HFPD5DW7PGNBSW5JDTSKB73ST/graph.json","fetch_events":"https://pith.science/api/pith-number/7HFPD5DW7PGNBSW5JDTSKB73ST/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7HFPD5DW7PGNBSW5JDTSKB73ST/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7HFPD5DW7PGNBSW5JDTSKB73ST/action/storage_attestation","attest_author":"https://pith.science/pith/7HFPD5DW7PGNBSW5JDTSKB73ST/action/author_attestation","sign_citation":"https://pith.science/pith/7HFPD5DW7PGNBSW5JDTSKB73ST/action/citation_signature","submit_replication":"https://pith.science/pith/7HFPD5DW7PGNBSW5JDTSKB73ST/action/replication_record"}},"created_at":"2026-05-18T01:07:49.345838+00:00","updated_at":"2026-05-18T01:07:49.345838+00:00"}