{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:433RH2L7HJWYSGH3DMLTW5F6QW","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":"072a57d4366b8b2bedfe07aeecd1730f3c10f3dc82aac452c872abbac16a3183","cross_cats_sorted":["cs.LG","cs.LO","cs.NE","cs.SC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-02-13T09:44:38Z","title_canon_sha256":"85e23498adb58b8655212683dbf20aad418732dfad7eb3107e0701eb00678f43"},"schema_version":"1.0","source":{"id":"2002.05406","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.05406","created_at":"2026-07-05T00:58:48Z"},{"alias_kind":"arxiv_version","alias_value":"2002.05406v2","created_at":"2026-07-05T00:58:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.05406","created_at":"2026-07-05T00:58:48Z"},{"alias_kind":"pith_short_12","alias_value":"433RH2L7HJWY","created_at":"2026-07-05T00:58:48Z"},{"alias_kind":"pith_short_16","alias_value":"433RH2L7HJWYSGH3","created_at":"2026-07-05T00:58:48Z"},{"alias_kind":"pith_short_8","alias_value":"433RH2L7","created_at":"2026-07-05T00:58:48Z"}],"graph_snapshots":[{"event_id":"sha256:be8ea7344063c4088b5916da0481e5327be033ec96e2f1b4827f0d44c41b30db","target":"graph","created_at":"2026-07-05T00:58:48Z","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/2002.05406/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We describe an implementation of gradient boosting and neural guidance of saturation-style automated theorem provers that does not depend on consistent symbol names across problems. For the gradient-boosting guidance, we manually create abstracted features by considering arity-based encodings of formulas. For the neural guidance, we use symbol-independent graph neural networks (GNNs) and their embedding of the terms and clauses. The two methods are efficiently implemented in the E prover and its ENIGMA learning-guided framework.\n  To provide competitive real-time performance of the GNNs, we ha","authors_text":"Bartosz Piotrowski, Jan Jakub\\r{u}v, Josef Urban, Karel Chvalovsk\\'y, Martin Suda, Miroslav Ol\\v{s}\\'ak","cross_cats":["cs.LG","cs.LO","cs.NE","cs.SC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-02-13T09:44:38Z","title":"ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.05406","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:c5a20681adba17a54e932bef19a349461f7c2e83431866ca3c4bde8b99e8a4b5","target":"record","created_at":"2026-07-05T00:58:48Z","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":"072a57d4366b8b2bedfe07aeecd1730f3c10f3dc82aac452c872abbac16a3183","cross_cats_sorted":["cs.LG","cs.LO","cs.NE","cs.SC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-02-13T09:44:38Z","title_canon_sha256":"85e23498adb58b8655212683dbf20aad418732dfad7eb3107e0701eb00678f43"},"schema_version":"1.0","source":{"id":"2002.05406","kind":"arxiv","version":2}},"canonical_sha256":"e6f713e97f3a6d8918fb1b173b74be859afbe77b42f578be05c31edfb977dcb6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6f713e97f3a6d8918fb1b173b74be859afbe77b42f578be05c31edfb977dcb6","first_computed_at":"2026-07-05T00:58:48.703682Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:58:48.703682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f8a9ulB+zvKRRy1o3orjxKbT+rNGwsXMbG43D0KJmY8hWinAQplvMCGIVo0SeLRfbPvD4Ah5pSwTVrUu0hMWBw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:58:48.704046Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.05406","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5a20681adba17a54e932bef19a349461f7c2e83431866ca3c4bde8b99e8a4b5","sha256:be8ea7344063c4088b5916da0481e5327be033ec96e2f1b4827f0d44c41b30db"],"state_sha256":"d138eba86c1d51b56d4ef0b2f66c3a5e9526fb11aeaad69b8c1ebba9e2a78da4"}