{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:BKTTKDIHBJEXI67T7WVBSUT3KW","short_pith_number":"pith:BKTTKDIH","canonical_record":{"source":{"id":"1810.05315","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-12T01:50:24Z","cross_cats_sorted":[],"title_canon_sha256":"09a210a42deff819f182f69d03ee09360da634a307c0b6e88bcfaa3e9a1208b4","abstract_canon_sha256":"64092e097734bcde544986c5321d20cd54f1fd8916811c9edc9d7f10e8c4484a"},"schema_version":"1.0"},"canonical_sha256":"0aa7350d070a49747bf3fdaa19527b55b658f736ec2082401fdc232c21bedf09","source":{"kind":"arxiv","id":"1810.05315","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.05315","created_at":"2026-05-18T00:03:31Z"},{"alias_kind":"arxiv_version","alias_value":"1810.05315v1","created_at":"2026-05-18T00:03:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.05315","created_at":"2026-05-18T00:03:31Z"},{"alias_kind":"pith_short_12","alias_value":"BKTTKDIHBJEX","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BKTTKDIHBJEXI67T","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BKTTKDIH","created_at":"2026-05-18T12:32:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:BKTTKDIHBJEXI67T7WVBSUT3KW","target":"record","payload":{"canonical_record":{"source":{"id":"1810.05315","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-12T01:50:24Z","cross_cats_sorted":[],"title_canon_sha256":"09a210a42deff819f182f69d03ee09360da634a307c0b6e88bcfaa3e9a1208b4","abstract_canon_sha256":"64092e097734bcde544986c5321d20cd54f1fd8916811c9edc9d7f10e8c4484a"},"schema_version":"1.0"},"canonical_sha256":"0aa7350d070a49747bf3fdaa19527b55b658f736ec2082401fdc232c21bedf09","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:31.024943Z","signature_b64":"N8EqyjTMXPSP/sHHB41W7ROrjJtLwpphS4ncRv0iUPBov6Gn9kFUt/TtlP4myP9LL9rggBx/Dekh9be+Q61PDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0aa7350d070a49747bf3fdaa19527b55b658f736ec2082401fdc232c21bedf09","last_reissued_at":"2026-05-18T00:03:31.024287Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:31.024287Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.05315","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:03:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1PuQjVkR6a0OELyktOpkA7XR7P14TeuG6YT0e2AIb6s+wS1Tj7m7tr5XcejIYcW/j45+wZ/Io1vtZ0vaopU4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T22:31:07.704162Z"},"content_sha256":"77438360fa5ee6562aca90a22b10acd28a0000ab58290f7806d762f978a5eab3","schema_version":"1.0","event_id":"sha256:77438360fa5ee6562aca90a22b10acd28a0000ab58290f7806d762f978a5eab3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:BKTTKDIHBJEXI67T7WVBSUT3KW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Reason","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Brian Groenke","submitted_at":"2018-10-12T01:50:24Z","abstract_excerpt":"Automated theorem proving has long been a key task of artificial intelligence. Proofs form the bedrock of rigorous scientific inquiry. Many tools for both partially and fully automating their derivations have been developed over the last half a century. Some examples of state-of-the-art provers are E (Schulz, 2013), VAMPIRE (Kov\\'acs & Voronkov, 2013), and Prover9 (McCune, 2005-2010). Newer theorem provers, such as E, use superposition calculus in place of more traditional resolution and tableau based methods. There have also been a number of past attempts to apply machine learning methods to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.05315","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:03:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f8leyx7QGHMenUNl3hWLnSWs13ZLMbKfswOxhBj6W3AxJ6LCdH+KroNMXsZv0CqokY+Xm4aPi/Vrnbqz9+zjCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T22:31:07.704618Z"},"content_sha256":"411c1f010e6f027c5c46d351cebb23285cb3791e5d7a85adba03f4452f6e36e3","schema_version":"1.0","event_id":"sha256:411c1f010e6f027c5c46d351cebb23285cb3791e5d7a85adba03f4452f6e36e3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BKTTKDIHBJEXI67T7WVBSUT3KW/bundle.json","state_url":"https://pith.science/pith/BKTTKDIHBJEXI67T7WVBSUT3KW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BKTTKDIHBJEXI67T7WVBSUT3KW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-20T22:31:07Z","links":{"resolver":"https://pith.science/pith/BKTTKDIHBJEXI67T7WVBSUT3KW","bundle":"https://pith.science/pith/BKTTKDIHBJEXI67T7WVBSUT3KW/bundle.json","state":"https://pith.science/pith/BKTTKDIHBJEXI67T7WVBSUT3KW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BKTTKDIHBJEXI67T7WVBSUT3KW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BKTTKDIHBJEXI67T7WVBSUT3KW","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":"64092e097734bcde544986c5321d20cd54f1fd8916811c9edc9d7f10e8c4484a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-12T01:50:24Z","title_canon_sha256":"09a210a42deff819f182f69d03ee09360da634a307c0b6e88bcfaa3e9a1208b4"},"schema_version":"1.0","source":{"id":"1810.05315","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.05315","created_at":"2026-05-18T00:03:31Z"},{"alias_kind":"arxiv_version","alias_value":"1810.05315v1","created_at":"2026-05-18T00:03:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.05315","created_at":"2026-05-18T00:03:31Z"},{"alias_kind":"pith_short_12","alias_value":"BKTTKDIHBJEX","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BKTTKDIHBJEXI67T","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BKTTKDIH","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:411c1f010e6f027c5c46d351cebb23285cb3791e5d7a85adba03f4452f6e36e3","target":"graph","created_at":"2026-05-18T00:03:31Z","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":"Automated theorem proving has long been a key task of artificial intelligence. Proofs form the bedrock of rigorous scientific inquiry. Many tools for both partially and fully automating their derivations have been developed over the last half a century. Some examples of state-of-the-art provers are E (Schulz, 2013), VAMPIRE (Kov\\'acs & Voronkov, 2013), and Prover9 (McCune, 2005-2010). Newer theorem provers, such as E, use superposition calculus in place of more traditional resolution and tableau based methods. There have also been a number of past attempts to apply machine learning methods to ","authors_text":"Brian Groenke","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-12T01:50:24Z","title":"Learning to Reason"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.05315","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":"sha256:77438360fa5ee6562aca90a22b10acd28a0000ab58290f7806d762f978a5eab3","target":"record","created_at":"2026-05-18T00:03:31Z","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":"64092e097734bcde544986c5321d20cd54f1fd8916811c9edc9d7f10e8c4484a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-12T01:50:24Z","title_canon_sha256":"09a210a42deff819f182f69d03ee09360da634a307c0b6e88bcfaa3e9a1208b4"},"schema_version":"1.0","source":{"id":"1810.05315","kind":"arxiv","version":1}},"canonical_sha256":"0aa7350d070a49747bf3fdaa19527b55b658f736ec2082401fdc232c21bedf09","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0aa7350d070a49747bf3fdaa19527b55b658f736ec2082401fdc232c21bedf09","first_computed_at":"2026-05-18T00:03:31.024287Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:31.024287Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N8EqyjTMXPSP/sHHB41W7ROrjJtLwpphS4ncRv0iUPBov6Gn9kFUt/TtlP4myP9LL9rggBx/Dekh9be+Q61PDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:31.024943Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.05315","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77438360fa5ee6562aca90a22b10acd28a0000ab58290f7806d762f978a5eab3","sha256:411c1f010e6f027c5c46d351cebb23285cb3791e5d7a85adba03f4452f6e36e3"],"state_sha256":"997bf31950efd687cdd7ba1e9e95405b2717b81f22b8c9baf921a65e715c78c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wyDkVOUwb0p+q0W0EtvJdC1+SvUoLspk/Ej9ekf2rnV8k2yuRcWzMtx6l9vXy5GdAR3rMWEuXtKQ0N9VfLapAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-20T22:31:07.706964Z","bundle_sha256":"cd3375c0fdba7a76910c4eeb4d1b0b1329745f0d9126ce661001272c48a112d2"}}