{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:5IFOTA7L276BOKSRR3P3GIY72T","short_pith_number":"pith:5IFOTA7L","canonical_record":{"source":{"id":"2007.06477","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-07-13T16:22:14Z","cross_cats_sorted":["cs.CL","cs.LG","cs.NE","cs.SC"],"title_canon_sha256":"404fec07b0231e462fa36595a31c6168c9e20c68fe4ed9303a40b8600a8cbdf4","abstract_canon_sha256":"c6b7a798f643959695dcf3a4aa4a9f25760cd4c6bb9b479b3e2e36efb8a58148"},"schema_version":"1.0"},"canonical_sha256":"ea0ae983ebd7fc172a518edfb3231fd4f875df20b1c277b3a3efd3a245e6a431","source":{"kind":"arxiv","id":"2007.06477","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.06477","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"arxiv_version","alias_value":"2007.06477v3","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.06477","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_12","alias_value":"5IFOTA7L276B","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_16","alias_value":"5IFOTA7L276BOKSR","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_8","alias_value":"5IFOTA7L","created_at":"2026-07-05T01:29:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:5IFOTA7L276BOKSRR3P3GIY72T","target":"record","payload":{"canonical_record":{"source":{"id":"2007.06477","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-07-13T16:22:14Z","cross_cats_sorted":["cs.CL","cs.LG","cs.NE","cs.SC"],"title_canon_sha256":"404fec07b0231e462fa36595a31c6168c9e20c68fe4ed9303a40b8600a8cbdf4","abstract_canon_sha256":"c6b7a798f643959695dcf3a4aa4a9f25760cd4c6bb9b479b3e2e36efb8a58148"},"schema_version":"1.0"},"canonical_sha256":"ea0ae983ebd7fc172a518edfb3231fd4f875df20b1c277b3a3efd3a245e6a431","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:29:13.590892Z","signature_b64":"8djjmhwHMtTvUKqJ49VlRf+f4k+qZKKpQ0Z1BxwAmEL1ydwPzF8MHQIEYpYjGZuxwNr9EwIp/Mkrf8LQJbPtDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea0ae983ebd7fc172a518edfb3231fd4f875df20b1c277b3a3efd3a245e6a431","last_reissued_at":"2026-07-05T01:29:13.590451Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:29:13.590451Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.06477","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:29:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c/KmEF7s9jrmu1Gjsn9B3Rk9QOc0rvdpPE+e4vQ8llXpiNKZO+DTkewhPJzf0oFeZiDN4H6LugqrOA2VXiq6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:40:53.688260Z"},"content_sha256":"15ee9b630fdcaae314d188be7b173b9ceed09ae27d4b33cf7447f0b9641eb2a9","schema_version":"1.0","event_id":"sha256:15ee9b630fdcaae314d188be7b173b9ceed09ae27d4b33cf7447f0b9641eb2a9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:5IFOTA7L276BOKSRR3P3GIY72T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Reasoning Strategies in End-to-End Differentiable Proving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG","cs.NE","cs.SC"],"primary_cat":"cs.AI","authors_text":"Edward Grefenstette, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Tim Rockt\\\"aschel","submitted_at":"2020-07-13T16:22:14Z","abstract_excerpt":"Attempts to render deep learning models interpretable, data-efficient, and robust have seen some success through hybridisation with rule-based systems, for example, in Neural Theorem Provers (NTPs). These neuro-symbolic models can induce interpretable rules and learn representations from data via back-propagation, while providing logical explanations for their predictions. However, they are restricted by their computational complexity, as they need to consider all possible proof paths for explaining a goal, thus rendering them unfit for large-scale applications. We present Conditional Theorem "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.06477","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2007.06477/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T01:29:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6XF+XCMhUQoy25OlcRVJmbUpZf1qzU3bYjah1FBG8USMQmDTNZFomLC8cxWhTOPqU8D0UsEq0RkD6JEJcptPBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:40:53.689176Z"},"content_sha256":"6de5edd7517a800e25d59cef64d83ae74c5ea7b83423903ed412b6f8c615729d","schema_version":"1.0","event_id":"sha256:6de5edd7517a800e25d59cef64d83ae74c5ea7b83423903ed412b6f8c615729d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5IFOTA7L276BOKSRR3P3GIY72T/bundle.json","state_url":"https://pith.science/pith/5IFOTA7L276BOKSRR3P3GIY72T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5IFOTA7L276BOKSRR3P3GIY72T/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":"2026-08-10T17:40:53Z","links":{"resolver":"https://pith.science/pith/5IFOTA7L276BOKSRR3P3GIY72T","bundle":"https://pith.science/pith/5IFOTA7L276BOKSRR3P3GIY72T/bundle.json","state":"https://pith.science/pith/5IFOTA7L276BOKSRR3P3GIY72T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5IFOTA7L276BOKSRR3P3GIY72T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5IFOTA7L276BOKSRR3P3GIY72T","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":"c6b7a798f643959695dcf3a4aa4a9f25760cd4c6bb9b479b3e2e36efb8a58148","cross_cats_sorted":["cs.CL","cs.LG","cs.NE","cs.SC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-07-13T16:22:14Z","title_canon_sha256":"404fec07b0231e462fa36595a31c6168c9e20c68fe4ed9303a40b8600a8cbdf4"},"schema_version":"1.0","source":{"id":"2007.06477","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.06477","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"arxiv_version","alias_value":"2007.06477v3","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.06477","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_12","alias_value":"5IFOTA7L276B","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_16","alias_value":"5IFOTA7L276BOKSR","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_8","alias_value":"5IFOTA7L","created_at":"2026-07-05T01:29:13Z"}],"graph_snapshots":[{"event_id":"sha256:6de5edd7517a800e25d59cef64d83ae74c5ea7b83423903ed412b6f8c615729d","target":"graph","created_at":"2026-07-05T01:29:13Z","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/2007.06477/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Attempts to render deep learning models interpretable, data-efficient, and robust have seen some success through hybridisation with rule-based systems, for example, in Neural Theorem Provers (NTPs). These neuro-symbolic models can induce interpretable rules and learn representations from data via back-propagation, while providing logical explanations for their predictions. However, they are restricted by their computational complexity, as they need to consider all possible proof paths for explaining a goal, thus rendering them unfit for large-scale applications. We present Conditional Theorem ","authors_text":"Edward Grefenstette, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Tim Rockt\\\"aschel","cross_cats":["cs.CL","cs.LG","cs.NE","cs.SC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-07-13T16:22:14Z","title":"Learning Reasoning Strategies in End-to-End Differentiable Proving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.06477","kind":"arxiv","version":3},"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":"sha256:15ee9b630fdcaae314d188be7b173b9ceed09ae27d4b33cf7447f0b9641eb2a9","target":"record","created_at":"2026-07-05T01:29:13Z","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":"c6b7a798f643959695dcf3a4aa4a9f25760cd4c6bb9b479b3e2e36efb8a58148","cross_cats_sorted":["cs.CL","cs.LG","cs.NE","cs.SC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-07-13T16:22:14Z","title_canon_sha256":"404fec07b0231e462fa36595a31c6168c9e20c68fe4ed9303a40b8600a8cbdf4"},"schema_version":"1.0","source":{"id":"2007.06477","kind":"arxiv","version":3}},"canonical_sha256":"ea0ae983ebd7fc172a518edfb3231fd4f875df20b1c277b3a3efd3a245e6a431","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea0ae983ebd7fc172a518edfb3231fd4f875df20b1c277b3a3efd3a245e6a431","first_computed_at":"2026-07-05T01:29:13.590451Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:29:13.590451Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8djjmhwHMtTvUKqJ49VlRf+f4k+qZKKpQ0Z1BxwAmEL1ydwPzF8MHQIEYpYjGZuxwNr9EwIp/Mkrf8LQJbPtDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:29:13.590892Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.06477","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15ee9b630fdcaae314d188be7b173b9ceed09ae27d4b33cf7447f0b9641eb2a9","sha256:6de5edd7517a800e25d59cef64d83ae74c5ea7b83423903ed412b6f8c615729d"],"state_sha256":"68337b44a7095b0505f8107b2f01f770fa42c338ae63862a39f705fcd64bd65e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LkXAaptKcJ+I5sR1Bdfn+dcs3NrzxSEWeoMJfu8uGmygGW/x0u2jnbyfBG8SqIzRTZt4z8xcE7WC2f7tujHLAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T17:40:53.696108Z","bundle_sha256":"72fd2185b66ec7ea4db5c430a559072d56854176001532c667c946edad4f3b06"}}