{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SNQABEQ6UND7PM643PI4N4SKZA","short_pith_number":"pith:SNQABEQ6","canonical_record":{"source":{"id":"2002.06544","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-16T09:22:32Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"77711e2192b0d5eb610dbc6e6cc619949d76fab91b61b747c62a47b54bdc7971","abstract_canon_sha256":"8a703feb62eef5967f03363b3b3ef8b0459e035167d40c68d7da688ff392e32a"},"schema_version":"1.0"},"canonical_sha256":"936000921ea347f7b3dcdbd1c6f24ac80ff2cb3007ae17cf945f7abb21d0847f","source":{"kind":"arxiv","id":"2002.06544","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.06544","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"arxiv_version","alias_value":"2002.06544v1","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.06544","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"pith_short_12","alias_value":"SNQABEQ6UND7","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"pith_short_16","alias_value":"SNQABEQ6UND7PM64","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"pith_short_8","alias_value":"SNQABEQ6","created_at":"2026-07-05T00:41:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SNQABEQ6UND7PM643PI4N4SKZA","target":"record","payload":{"canonical_record":{"source":{"id":"2002.06544","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-16T09:22:32Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"77711e2192b0d5eb610dbc6e6cc619949d76fab91b61b747c62a47b54bdc7971","abstract_canon_sha256":"8a703feb62eef5967f03363b3b3ef8b0459e035167d40c68d7da688ff392e32a"},"schema_version":"1.0"},"canonical_sha256":"936000921ea347f7b3dcdbd1c6f24ac80ff2cb3007ae17cf945f7abb21d0847f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:41:07.232242Z","signature_b64":"LzxSZtUQVsN9WXYjJmmGtvDd2eWyJenAPwUYjOfPIdifAuz/S/eCLY7vTvrfrFrXpN5OKTIh6xNbyjsbxWNkAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"936000921ea347f7b3dcdbd1c6f24ac80ff2cb3007ae17cf945f7abb21d0847f","last_reissued_at":"2026-07-05T00:41:07.231807Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:41:07.231807Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.06544","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":"2026-07-05T00:41:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yaAYlsTkqtlKxKR+ge5XtepKlRzf7B3rW3RhHgbjQQ9ryBDq9N0cJMtYJ85OU6o51x0iGKj2lv7I/CUQfimUCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:40:42.921551Z"},"content_sha256":"707d58d97eaa99b66cf4b5fea85b4022c77e2051b2ebfa5ac82b61d38ad89bf6","schema_version":"1.0","event_id":"sha256:707d58d97eaa99b66cf4b5fea85b4022c77e2051b2ebfa5ac82b61d38ad89bf6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SNQABEQ6UND7PM643PI4N4SKZA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Neural Models for Parsing Natural Language into First-Order Logic","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Balaji Krishnamurthy, Hrituraj Singh, Milan Aggrawal","submitted_at":"2020-02-16T09:22:32Z","abstract_excerpt":"Semantic parsing is the task of obtaining machine-interpretable representations from natural language text. We consider one such formal representation - First-Order Logic (FOL) and explore the capability of neural models in parsing English sentences to FOL. We model FOL parsing as a sequence to sequence mapping task where given a natural language sentence, it is encoded into an intermediate representation using an LSTM followed by a decoder which sequentially generates the predicates in the corresponding FOL formula. We improve the standard encoder-decoder model by introducing a variable align"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.06544","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2002.06544/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":"2026-07-05T00:41:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+OqZeQVNqjUNvBJIHg3SlXy3mEl+hQqyYw5MVp1pEM72x961PnGlzCVkW0ktJwYyqFzkhPDqFJot1qcX1iJPCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:40:42.922045Z"},"content_sha256":"806cdb324481861f4dfcaf521414fabe68605ebdc52392d17bfb62fbd37aca7e","schema_version":"1.0","event_id":"sha256:806cdb324481861f4dfcaf521414fabe68605ebdc52392d17bfb62fbd37aca7e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SNQABEQ6UND7PM643PI4N4SKZA/bundle.json","state_url":"https://pith.science/pith/SNQABEQ6UND7PM643PI4N4SKZA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SNQABEQ6UND7PM643PI4N4SKZA/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":"2026-08-08T18:40:42Z","links":{"resolver":"https://pith.science/pith/SNQABEQ6UND7PM643PI4N4SKZA","bundle":"https://pith.science/pith/SNQABEQ6UND7PM643PI4N4SKZA/bundle.json","state":"https://pith.science/pith/SNQABEQ6UND7PM643PI4N4SKZA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SNQABEQ6UND7PM643PI4N4SKZA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SNQABEQ6UND7PM643PI4N4SKZA","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":"8a703feb62eef5967f03363b3b3ef8b0459e035167d40c68d7da688ff392e32a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-16T09:22:32Z","title_canon_sha256":"77711e2192b0d5eb610dbc6e6cc619949d76fab91b61b747c62a47b54bdc7971"},"schema_version":"1.0","source":{"id":"2002.06544","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.06544","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"arxiv_version","alias_value":"2002.06544v1","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.06544","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"pith_short_12","alias_value":"SNQABEQ6UND7","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"pith_short_16","alias_value":"SNQABEQ6UND7PM64","created_at":"2026-07-05T00:41:07Z"},{"alias_kind":"pith_short_8","alias_value":"SNQABEQ6","created_at":"2026-07-05T00:41:07Z"}],"graph_snapshots":[{"event_id":"sha256:806cdb324481861f4dfcaf521414fabe68605ebdc52392d17bfb62fbd37aca7e","target":"graph","created_at":"2026-07-05T00:41:07Z","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/2002.06544/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic parsing is the task of obtaining machine-interpretable representations from natural language text. We consider one such formal representation - First-Order Logic (FOL) and explore the capability of neural models in parsing English sentences to FOL. We model FOL parsing as a sequence to sequence mapping task where given a natural language sentence, it is encoded into an intermediate representation using an LSTM followed by a decoder which sequentially generates the predicates in the corresponding FOL formula. We improve the standard encoder-decoder model by introducing a variable align","authors_text":"Balaji Krishnamurthy, Hrituraj Singh, Milan Aggrawal","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-16T09:22:32Z","title":"Exploring Neural Models for Parsing Natural Language into First-Order Logic"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.06544","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":"sha256:707d58d97eaa99b66cf4b5fea85b4022c77e2051b2ebfa5ac82b61d38ad89bf6","target":"record","created_at":"2026-07-05T00:41:07Z","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":"8a703feb62eef5967f03363b3b3ef8b0459e035167d40c68d7da688ff392e32a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-16T09:22:32Z","title_canon_sha256":"77711e2192b0d5eb610dbc6e6cc619949d76fab91b61b747c62a47b54bdc7971"},"schema_version":"1.0","source":{"id":"2002.06544","kind":"arxiv","version":1}},"canonical_sha256":"936000921ea347f7b3dcdbd1c6f24ac80ff2cb3007ae17cf945f7abb21d0847f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"936000921ea347f7b3dcdbd1c6f24ac80ff2cb3007ae17cf945f7abb21d0847f","first_computed_at":"2026-07-05T00:41:07.231807Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:41:07.231807Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LzxSZtUQVsN9WXYjJmmGtvDd2eWyJenAPwUYjOfPIdifAuz/S/eCLY7vTvrfrFrXpN5OKTIh6xNbyjsbxWNkAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:41:07.232242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.06544","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:707d58d97eaa99b66cf4b5fea85b4022c77e2051b2ebfa5ac82b61d38ad89bf6","sha256:806cdb324481861f4dfcaf521414fabe68605ebdc52392d17bfb62fbd37aca7e"],"state_sha256":"948baf5d178b1d43875d77fc58b0ceb3266239b4788cf0f818b86945d7d158d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XVXwYAgOUZTsZA24eu1eYnwRy40DsI6IF1JZbgq4b4z7x0ndlgXKoM4vnzkxInj+nATiyiQo1vnjnBJJWxnaDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T18:40:42.926820Z","bundle_sha256":"375b6929496a80abd5af8e48f4f7ba65245ee36360af90055bb1edaaba572a88"}}