{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WNEVVWGWYIOWKVL2GXCYF25KBT","short_pith_number":"pith:WNEVVWGW","canonical_record":{"source":{"id":"2605.18155","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-18T10:01:44Z","cross_cats_sorted":[],"title_canon_sha256":"f8fc30ac3199b5123d69bfec15e7d243e73d4f45ac3db8ef3f5f2663f7207307","abstract_canon_sha256":"27902fadf85e54ce801532ad2241a414636f261e4ca228ce6f31fbd18c0ea803"},"schema_version":"1.0"},"canonical_sha256":"b3495ad8d6c21d65557a35c582ebaa0cf03581a3f0625e684a4636725b91ceb4","source":{"kind":"arxiv","id":"2605.18155","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18155","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18155v1","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18155","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"pith_short_12","alias_value":"WNEVVWGWYIOW","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"pith_short_16","alias_value":"WNEVVWGWYIOWKVL2","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"pith_short_8","alias_value":"WNEVVWGW","created_at":"2026-05-20T00:05:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WNEVVWGWYIOWKVL2GXCYF25KBT","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18155","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-18T10:01:44Z","cross_cats_sorted":[],"title_canon_sha256":"f8fc30ac3199b5123d69bfec15e7d243e73d4f45ac3db8ef3f5f2663f7207307","abstract_canon_sha256":"27902fadf85e54ce801532ad2241a414636f261e4ca228ce6f31fbd18c0ea803"},"schema_version":"1.0"},"canonical_sha256":"b3495ad8d6c21d65557a35c582ebaa0cf03581a3f0625e684a4636725b91ceb4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:48.601487Z","signature_b64":"q0LwDjRJLUhnsayVr44bbqfy0Mp5B32onXAdInuGZtb/HFQm5Y+iRyShvW7tPIfyLAZEO+kxyPtAOz+DUuFzCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3495ad8d6c21d65557a35c582ebaa0cf03581a3f0625e684a4636725b91ceb4","last_reissued_at":"2026-05-20T00:05:48.600920Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:48.600920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18155","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":"2026-05-20T00:05:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bX+npULOYZlpQEkdvyBL1pvmJXd43uIKmllpTxQU2YSdOrFsbi0DTOsdM8FKFKq00swgwZRxcPy4GcnJFtgnAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T15:56:17.943604Z"},"content_sha256":"73224640e6b0ffe7c304b32c828cae38ca7efb28898ef01424a13308b0e367ab","schema_version":"1.0","event_id":"sha256:73224640e6b0ffe7c304b32c828cae38ca7efb28898ef01424a13308b0e367ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WNEVVWGWYIOWKVL2GXCYF25KBT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FOL2NS: Generating Natural Sentences from First-Order Logic","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Mei Jia","submitted_at":"2026-05-18T10:01:44Z","abstract_excerpt":"Translating formal language into natural language is a foundational challenge in NLP, driving various downstream applications in semantic parsing, theorem validation, and question answering. In this study, we introduce First-Order Logic to Natural Sentence (FOL2NS), a neurosymbolic framework designed to generate synthetic FOL formulas and convert them into natural human expressions. It handles deeply nested structures with varying quantifier depths (QD), which are rarely captured by existing corpora. By combining rule-driven modules with fine-tuned language models, FOL2NS enhances the diversit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18155","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/2605.18155/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T23:41:59.083462Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.367796Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"83899422c6ece88058556079694ed786bc162455edc5c44f6913e922ef7aac10"},"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":"2026-05-20T00:05:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8BdtHBTyxS04Uo5vBRp5zwJhvwQA2D1IRzfN6sQ0phVpUKAjWhXKqOwNKmBxdfF9HovHZ/dJrHC1O3FM/kx3Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T15:56:17.944018Z"},"content_sha256":"37903cee69ae3b4172673d7285f034320c08a6963d1deade21a08622fba49344","schema_version":"1.0","event_id":"sha256:37903cee69ae3b4172673d7285f034320c08a6963d1deade21a08622fba49344"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WNEVVWGWYIOWKVL2GXCYF25KBT/bundle.json","state_url":"https://pith.science/pith/WNEVVWGWYIOWKVL2GXCYF25KBT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WNEVVWGWYIOWKVL2GXCYF25KBT/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":"2026-06-03T15:56:17Z","links":{"resolver":"https://pith.science/pith/WNEVVWGWYIOWKVL2GXCYF25KBT","bundle":"https://pith.science/pith/WNEVVWGWYIOWKVL2GXCYF25KBT/bundle.json","state":"https://pith.science/pith/WNEVVWGWYIOWKVL2GXCYF25KBT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WNEVVWGWYIOWKVL2GXCYF25KBT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WNEVVWGWYIOWKVL2GXCYF25KBT","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":"27902fadf85e54ce801532ad2241a414636f261e4ca228ce6f31fbd18c0ea803","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-18T10:01:44Z","title_canon_sha256":"f8fc30ac3199b5123d69bfec15e7d243e73d4f45ac3db8ef3f5f2663f7207307"},"schema_version":"1.0","source":{"id":"2605.18155","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18155","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18155v1","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18155","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"pith_short_12","alias_value":"WNEVVWGWYIOW","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"pith_short_16","alias_value":"WNEVVWGWYIOWKVL2","created_at":"2026-05-20T00:05:48Z"},{"alias_kind":"pith_short_8","alias_value":"WNEVVWGW","created_at":"2026-05-20T00:05:48Z"}],"graph_snapshots":[{"event_id":"sha256:37903cee69ae3b4172673d7285f034320c08a6963d1deade21a08622fba49344","target":"graph","created_at":"2026-05-20T00:05:48Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T23:41:59.083462Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.367796Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.18155/integrity.json","findings":[],"snapshot_sha256":"83899422c6ece88058556079694ed786bc162455edc5c44f6913e922ef7aac10","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Translating formal language into natural language is a foundational challenge in NLP, driving various downstream applications in semantic parsing, theorem validation, and question answering. In this study, we introduce First-Order Logic to Natural Sentence (FOL2NS), a neurosymbolic framework designed to generate synthetic FOL formulas and convert them into natural human expressions. It handles deeply nested structures with varying quantifier depths (QD), which are rarely captured by existing corpora. By combining rule-driven modules with fine-tuned language models, FOL2NS enhances the diversit","authors_text":"Mei Jia","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-18T10:01:44Z","title":"FOL2NS: Generating Natural Sentences from First-Order Logic"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18155","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":"sha256:73224640e6b0ffe7c304b32c828cae38ca7efb28898ef01424a13308b0e367ab","target":"record","created_at":"2026-05-20T00:05:48Z","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":"27902fadf85e54ce801532ad2241a414636f261e4ca228ce6f31fbd18c0ea803","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-18T10:01:44Z","title_canon_sha256":"f8fc30ac3199b5123d69bfec15e7d243e73d4f45ac3db8ef3f5f2663f7207307"},"schema_version":"1.0","source":{"id":"2605.18155","kind":"arxiv","version":1}},"canonical_sha256":"b3495ad8d6c21d65557a35c582ebaa0cf03581a3f0625e684a4636725b91ceb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3495ad8d6c21d65557a35c582ebaa0cf03581a3f0625e684a4636725b91ceb4","first_computed_at":"2026-05-20T00:05:48.600920Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:48.600920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q0LwDjRJLUhnsayVr44bbqfy0Mp5B32onXAdInuGZtb/HFQm5Y+iRyShvW7tPIfyLAZEO+kxyPtAOz+DUuFzCg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:48.601487Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18155","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73224640e6b0ffe7c304b32c828cae38ca7efb28898ef01424a13308b0e367ab","sha256:37903cee69ae3b4172673d7285f034320c08a6963d1deade21a08622fba49344"],"state_sha256":"5a990f15827095d7379b61feb2b59137f08712b00c85ffa53df82b4abfba0b96"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3qHqkVi5XldMqvHzHg4S8uCbUIF0S4uHBY7Jn2LtGVm49l8Xm9HFI5yV6cWkVTc4P8omaf5ai2F+ZvZYAfTfBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T15:56:17.946238Z","bundle_sha256":"8e04313ec8c44bcec08b7f3e8575faf8777b501cb6e14dd64a76d6fed7571712"}}