{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JQU3KWM7HBLVMICGP7WCEBCXQQ","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":"d0726e19c3414cf5f2780ad9663c89b7a079d74d0ef96d8e4691aef5ddc7d7a0","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-26T05:17:18Z","title_canon_sha256":"a39857b13e2b7c90a6892d768c8b0883907fbafe15e549554d4d6c9e4a850346"},"schema_version":"1.0","source":{"id":"1902.09737","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.09737","created_at":"2026-05-17T23:52:35Z"},{"alias_kind":"arxiv_version","alias_value":"1902.09737v1","created_at":"2026-05-17T23:52:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.09737","created_at":"2026-05-17T23:52:35Z"},{"alias_kind":"pith_short_12","alias_value":"JQU3KWM7HBLV","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JQU3KWM7HBLVMICG","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JQU3KWM7","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:b61a7ed5a6627d6175f15b50093ff42f65893a462faf05aa7aed46e8a927e60e","target":"graph","created_at":"2026-05-17T23:52:35Z","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"},"paper":{"abstract_excerpt":"We provide a new approach to training neural models to exhibit transparency in a well-defined, functional manner. Our approach naturally operates over structured data and tailors the predictor, functionally, towards a chosen family of (local) witnesses. The estimation problem is setup as a co-operative game between an unrestricted predictor such as a neural network, and a set of witnesses chosen from the desired transparent family. The goal of the witnesses is to highlight, locally, how well the predictor conforms to the chosen family of functions, while the predictor is trained to minimize th","authors_text":"David Alvarez-Melis, Guang-He Lee, Tommi S. Jaakkola, Wengong Jin","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-26T05:17:18Z","title":"Functional Transparency for Structured Data: a Game-Theoretic Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.09737","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":"sha256:3a93db90f9e8670e52b36ebf4763182cec69019e69f06b001507612528ad17fc","target":"record","created_at":"2026-05-17T23:52:35Z","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":"d0726e19c3414cf5f2780ad9663c89b7a079d74d0ef96d8e4691aef5ddc7d7a0","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-26T05:17:18Z","title_canon_sha256":"a39857b13e2b7c90a6892d768c8b0883907fbafe15e549554d4d6c9e4a850346"},"schema_version":"1.0","source":{"id":"1902.09737","kind":"arxiv","version":1}},"canonical_sha256":"4c29b5599f38575620467fec220457843647e19adfeb21aa5d73a2e77c44ea2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c29b5599f38575620467fec220457843647e19adfeb21aa5d73a2e77c44ea2a","first_computed_at":"2026-05-17T23:52:35.478737Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:35.478737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"edxCEy0q5sHbli+zXD3Y483s+z2KOfprWQFAw1bLs9ZHguSUlCd6LpKc6INPNmK8QlownhJhYN5rybSIGQdyCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:35.479254Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.09737","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a93db90f9e8670e52b36ebf4763182cec69019e69f06b001507612528ad17fc","sha256:b61a7ed5a6627d6175f15b50093ff42f65893a462faf05aa7aed46e8a927e60e"],"state_sha256":"2c856a1ee736bbd1068a52cdbb3ab9fa35b9cb9956a18c59c2d082d1e9af6016"}