{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VQMTHEQOCRS2VKY6XW5R3GEWMB","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":"7b7cf57f6a697e8daeec45e85a240358bdb031bbdf0620f23036ffda0993a066","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-09T16:16:27Z","title_canon_sha256":"c72ae61ae1eb1860f32df0d5325a29b340bfe9f56f5d0b93803dcaff7a2f851b"},"schema_version":"1.0","source":{"id":"2607.08641","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08641","created_at":"2026-07-10T01:19:56Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08641v1","created_at":"2026-07-10T01:19:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08641","created_at":"2026-07-10T01:19:56Z"},{"alias_kind":"pith_short_12","alias_value":"VQMTHEQOCRS2","created_at":"2026-07-10T01:19:56Z"},{"alias_kind":"pith_short_16","alias_value":"VQMTHEQOCRS2VKY6","created_at":"2026-07-10T01:19:56Z"},{"alias_kind":"pith_short_8","alias_value":"VQMTHEQO","created_at":"2026-07-10T01:19:56Z"}],"graph_snapshots":[{"event_id":"sha256:268545ad5f9947a3599a2cf95188ba6c2daa8e897aba9a9575a96f19601b5036","target":"graph","created_at":"2026-07-10T01:19:56Z","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/2607.08641/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Over the last few years, there has been an increased interest in making machine learning models more interpretable. Although a great deal of effort goes into developing techniques for interpreting the interactions learned by a given model, fewer studies focus on assessing the quality of such explanations. Even fewer focus on how to adjust the model to produce explanations faithful to prior knowledge, a process known as explanation-guided learning. Furthermore, most approaches in this area focus on classification problems and usually assume prior knowledge about which input features or regions ","authors_text":"Pierre Geurts, V\\^an Anh Huynh-Thu, Yann Claes","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-09T16:16:27Z","title":"Steering Neural Network Training through Interpretable Constraints Based on Partial Dependence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08641","kind":"arxiv","version":1},"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:f2ddc33199531c7620516b329be63dc721698e5b0bee31e0b1ebd9e238c425f6","target":"record","created_at":"2026-07-10T01:19:56Z","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":"7b7cf57f6a697e8daeec45e85a240358bdb031bbdf0620f23036ffda0993a066","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-09T16:16:27Z","title_canon_sha256":"c72ae61ae1eb1860f32df0d5325a29b340bfe9f56f5d0b93803dcaff7a2f851b"},"schema_version":"1.0","source":{"id":"2607.08641","kind":"arxiv","version":1}},"canonical_sha256":"ac1933920e1465aaab1ebdbb1d98966056d5b578d7a1f24f5a3cc22a86de2bbb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac1933920e1465aaab1ebdbb1d98966056d5b578d7a1f24f5a3cc22a86de2bbb","first_computed_at":"2026-07-10T01:19:56.304634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:56.304634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AQBaWk0Xnw/fWzNuiMacr5nRzcQ1oO+jBSj6kA2Qfmswk/lLv6xedf2oAYY12Lg37wuHEYDEGew+UeESeM2ZDQ==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:56.305047Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08641","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2ddc33199531c7620516b329be63dc721698e5b0bee31e0b1ebd9e238c425f6","sha256:268545ad5f9947a3599a2cf95188ba6c2daa8e897aba9a9575a96f19601b5036"],"state_sha256":"12d91aa80d2bc47d3f14c4a3d7777584a73f8a43653d22a344a0e7bcd1cb7ef9"}