{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TBRJJM2GLYC3QPUBMC6LE2W5PM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a1df7623c5e4330110a61d3625544bf75cc8f56f0b630bc841ec3ea560eaf2fb","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-30T03:37:00Z","title_canon_sha256":"069dede018068b5a885b15867bb178658b2a0ffd2b27a3d2988d761119c227aa"},"schema_version":"1.0","source":{"id":"2107.14417","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.14417","created_at":"2026-07-05T03:10:41Z"},{"alias_kind":"arxiv_version","alias_value":"2107.14417v2","created_at":"2026-07-05T03:10:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.14417","created_at":"2026-07-05T03:10:41Z"},{"alias_kind":"pith_short_12","alias_value":"TBRJJM2GLYC3","created_at":"2026-07-05T03:10:41Z"},{"alias_kind":"pith_short_16","alias_value":"TBRJJM2GLYC3QPUB","created_at":"2026-07-05T03:10:41Z"},{"alias_kind":"pith_short_8","alias_value":"TBRJJM2G","created_at":"2026-07-05T03:10:41Z"}],"graph_snapshots":[{"event_id":"sha256:786ee8eb16b71316d2f5bcc8ffbf1ea325109902bf91be7a2f3cd2c3c1d4a6b5","target":"graph","created_at":"2026-07-05T03:10:41Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2107.14417/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the discipline has evolved, research in machine learning has been focused more and more on creating more powerful neural networks, without regard for the interpretability of these networks. Such \"black-box models\" yield state-of-the-art results, but we cannot understand why they make a particular decision or prediction. Sometimes this is acceptable, but often it is not. We propose a novel architecture, Regression Networks, which combines the power of neural networks with the understandability of regression analysis. While some methods for combining these exist in the literature, our archite","authors_text":"David L. Dowe, Lachlan O'Neill, Nader Chmait, Satya Borgohain, Simon Angus","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-30T03:37:00Z","title":"Creating Powerful and Interpretable Models with Regression Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.14417","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:afbafe56d046c517796a5e4f7ff2a6ece2135618b7baa2c542e6871180b411b8","target":"record","created_at":"2026-07-05T03:10:41Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a1df7623c5e4330110a61d3625544bf75cc8f56f0b630bc841ec3ea560eaf2fb","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-30T03:37:00Z","title_canon_sha256":"069dede018068b5a885b15867bb178658b2a0ffd2b27a3d2988d761119c227aa"},"schema_version":"1.0","source":{"id":"2107.14417","kind":"arxiv","version":2}},"canonical_sha256":"986294b3465e05b83e8160bcb26add7b363349816f5c39c8393f4804d7733e5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"986294b3465e05b83e8160bcb26add7b363349816f5c39c8393f4804d7733e5f","first_computed_at":"2026-07-05T03:10:41.363799Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:10:41.363799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LKP49MPkfgAfGNQ4C65V8sUhxkM1xcQZ4L/SGlLTMjA8g7zV7Cnk/JzJzVCyyGDaacm0qTUZWfZtc7OOieimCw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:10:41.364206Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.14417","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afbafe56d046c517796a5e4f7ff2a6ece2135618b7baa2c542e6871180b411b8","sha256:786ee8eb16b71316d2f5bcc8ffbf1ea325109902bf91be7a2f3cd2c3c1d4a6b5"],"state_sha256":"193961ff57195d9e63d14d82b3cfc0c6a6b620eea21f0b11128cdbffc7af0cc8"}