{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:NEHQBBHX24YJGPJKPFRWXDXMR2","short_pith_number":"pith:NEHQBBHX","canonical_record":{"source":{"id":"2010.01556","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-04T11:59:59Z","cross_cats_sorted":[],"title_canon_sha256":"c1cd9560d9589cbc911ab30f9487d12bc0135291cd6c90decd7125df96a1028c","abstract_canon_sha256":"7b7074c2f89e59865b8005055e7bddf98ba1051cf9bb90c0d280119897e7f469"},"schema_version":"1.0"},"canonical_sha256":"690f0084f7d730933d2a79636b8eec8e8c5a0fa1e85e6c5231a7af261d8e1dcc","source":{"kind":"arxiv","id":"2010.01556","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.01556","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"arxiv_version","alias_value":"2010.01556v2","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.01556","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"pith_short_12","alias_value":"NEHQBBHX24YJ","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"pith_short_16","alias_value":"NEHQBBHX24YJGPJK","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"pith_short_8","alias_value":"NEHQBBHX","created_at":"2026-07-05T03:30:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:NEHQBBHX24YJGPJKPFRWXDXMR2","target":"record","payload":{"canonical_record":{"source":{"id":"2010.01556","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-04T11:59:59Z","cross_cats_sorted":[],"title_canon_sha256":"c1cd9560d9589cbc911ab30f9487d12bc0135291cd6c90decd7125df96a1028c","abstract_canon_sha256":"7b7074c2f89e59865b8005055e7bddf98ba1051cf9bb90c0d280119897e7f469"},"schema_version":"1.0"},"canonical_sha256":"690f0084f7d730933d2a79636b8eec8e8c5a0fa1e85e6c5231a7af261d8e1dcc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:30:37.820724Z","signature_b64":"0R+6DF04yQLnXnldRFUPM4SfOQSkIzGILNOoiT0bCvocjya7hxODohkJlBRu05b1PQVcxSHfwdGBwK8kbmKWAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"690f0084f7d730933d2a79636b8eec8e8c5a0fa1e85e6c5231a7af261d8e1dcc","last_reissued_at":"2026-07-05T03:30:37.820233Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:30:37.820233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.01556","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:30:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QtlUlP+iwhdgL955z5nlrcEkknymdR42xZ/KG/yNuCy8sQ253SuDZYDf7j4JUqZKNyDagUD0oUspA93/6iCABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:48:07.778188Z"},"content_sha256":"5e1e7262290df55172921394c00c15b99676fb58a67e7d00b74eb7ce4a8dabfb","schema_version":"1.0","event_id":"sha256:5e1e7262290df55172921394c00c15b99676fb58a67e7d00b74eb7ce4a8dabfb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:NEHQBBHX24YJGPJKPFRWXDXMR2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reverse Operation based Data Augmentation for Solving Math Word Problems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Daisuke Kawahara, Fei Cheng, Qianying Liu, Sadao Kurohashi, Sujian Li, Wenyu Guan","submitted_at":"2020-10-04T11:59:59Z","abstract_excerpt":"Automatically solving math word problems is a critical task in the field of natural language processing. Recent models have reached their performance bottleneck and require more high-quality data for training. We propose a novel data augmentation method that reverses the mathematical logic of math word problems to produce new high-quality math problems and introduce new knowledge points that can benefit learning the mathematical reasoning logic. We apply the augmented data on two SOTA math word problem solving models and compare our results with a strong data augmentation baseline. Experimenta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.01556","kind":"arxiv","version":2},"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/2010.01556/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":"2026-07-05T03:30:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HF5tsvqsthBVkzTpItoeuwyofhRDz0ruQ/cm6g/PyFlddYOFRhm0XlgiUonpH1yDTAp05/eeBWLQ0+j3cjcZDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:48:07.778570Z"},"content_sha256":"59eb681aecab4310d814872034f6f364037d6cfeefc0b0a83550934813633871","schema_version":"1.0","event_id":"sha256:59eb681aecab4310d814872034f6f364037d6cfeefc0b0a83550934813633871"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NEHQBBHX24YJGPJKPFRWXDXMR2/bundle.json","state_url":"https://pith.science/pith/NEHQBBHX24YJGPJKPFRWXDXMR2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NEHQBBHX24YJGPJKPFRWXDXMR2/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":"2026-07-07T08:48:07Z","links":{"resolver":"https://pith.science/pith/NEHQBBHX24YJGPJKPFRWXDXMR2","bundle":"https://pith.science/pith/NEHQBBHX24YJGPJKPFRWXDXMR2/bundle.json","state":"https://pith.science/pith/NEHQBBHX24YJGPJKPFRWXDXMR2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NEHQBBHX24YJGPJKPFRWXDXMR2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:NEHQBBHX24YJGPJKPFRWXDXMR2","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":"7b7074c2f89e59865b8005055e7bddf98ba1051cf9bb90c0d280119897e7f469","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-04T11:59:59Z","title_canon_sha256":"c1cd9560d9589cbc911ab30f9487d12bc0135291cd6c90decd7125df96a1028c"},"schema_version":"1.0","source":{"id":"2010.01556","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.01556","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"arxiv_version","alias_value":"2010.01556v2","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.01556","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"pith_short_12","alias_value":"NEHQBBHX24YJ","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"pith_short_16","alias_value":"NEHQBBHX24YJGPJK","created_at":"2026-07-05T03:30:37Z"},{"alias_kind":"pith_short_8","alias_value":"NEHQBBHX","created_at":"2026-07-05T03:30:37Z"}],"graph_snapshots":[{"event_id":"sha256:59eb681aecab4310d814872034f6f364037d6cfeefc0b0a83550934813633871","target":"graph","created_at":"2026-07-05T03:30:37Z","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/2010.01556/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatically solving math word problems is a critical task in the field of natural language processing. Recent models have reached their performance bottleneck and require more high-quality data for training. We propose a novel data augmentation method that reverses the mathematical logic of math word problems to produce new high-quality math problems and introduce new knowledge points that can benefit learning the mathematical reasoning logic. We apply the augmented data on two SOTA math word problem solving models and compare our results with a strong data augmentation baseline. Experimenta","authors_text":"Daisuke Kawahara, Fei Cheng, Qianying Liu, Sadao Kurohashi, Sujian Li, Wenyu Guan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-04T11:59:59Z","title":"Reverse Operation based Data Augmentation for Solving Math Word Problems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.01556","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":"sha256:5e1e7262290df55172921394c00c15b99676fb58a67e7d00b74eb7ce4a8dabfb","target":"record","created_at":"2026-07-05T03:30:37Z","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":"7b7074c2f89e59865b8005055e7bddf98ba1051cf9bb90c0d280119897e7f469","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-04T11:59:59Z","title_canon_sha256":"c1cd9560d9589cbc911ab30f9487d12bc0135291cd6c90decd7125df96a1028c"},"schema_version":"1.0","source":{"id":"2010.01556","kind":"arxiv","version":2}},"canonical_sha256":"690f0084f7d730933d2a79636b8eec8e8c5a0fa1e85e6c5231a7af261d8e1dcc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"690f0084f7d730933d2a79636b8eec8e8c5a0fa1e85e6c5231a7af261d8e1dcc","first_computed_at":"2026-07-05T03:30:37.820233Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:30:37.820233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0R+6DF04yQLnXnldRFUPM4SfOQSkIzGILNOoiT0bCvocjya7hxODohkJlBRu05b1PQVcxSHfwdGBwK8kbmKWAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:30:37.820724Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.01556","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e1e7262290df55172921394c00c15b99676fb58a67e7d00b74eb7ce4a8dabfb","sha256:59eb681aecab4310d814872034f6f364037d6cfeefc0b0a83550934813633871"],"state_sha256":"0401a1c5441554766e6318f2f76b5583e431c26ed8e26962e69bc168b7ee2390"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eXaw78cFbX90h8otJWLw3TNr5ICbf9a2TtP6Ndp6r7lK3kW/E5xSyzTUtIk41GKhwMeabC5qE6iIqzFeDb1nDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:48:07.780503Z","bundle_sha256":"4cc9e8da44f8d49ef75e698e0953ca21b125bd5fccb889cade4c62e32a35f85d"}}