{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TK4RPPYIBBAG5QGSLHCKMVBYPF","short_pith_number":"pith:TK4RPPYI","canonical_record":{"source":{"id":"2105.14517","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-05-30T12:34:17Z","cross_cats_sorted":[],"title_canon_sha256":"b199975921827c15bc6a5a4988a76369cc5ce105d89d653a101e28a738d10d0e","abstract_canon_sha256":"0ae507cac5730c9412fbd733fa1f325b266793556c89e5ff3e1b685fd85f3000"},"schema_version":"1.0"},"canonical_sha256":"9ab917bf0808406ec0d259c4a65438796790ee711d174ba3d88075c37931eb27","source":{"kind":"arxiv","id":"2105.14517","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.14517","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"arxiv_version","alias_value":"2105.14517v3","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.14517","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"pith_short_12","alias_value":"TK4RPPYIBBAG","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"pith_short_16","alias_value":"TK4RPPYIBBAG5QGS","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"pith_short_8","alias_value":"TK4RPPYI","created_at":"2026-07-05T03:47:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TK4RPPYIBBAG5QGSLHCKMVBYPF","target":"record","payload":{"canonical_record":{"source":{"id":"2105.14517","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-05-30T12:34:17Z","cross_cats_sorted":[],"title_canon_sha256":"b199975921827c15bc6a5a4988a76369cc5ce105d89d653a101e28a738d10d0e","abstract_canon_sha256":"0ae507cac5730c9412fbd733fa1f325b266793556c89e5ff3e1b685fd85f3000"},"schema_version":"1.0"},"canonical_sha256":"9ab917bf0808406ec0d259c4a65438796790ee711d174ba3d88075c37931eb27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:47:19.881289Z","signature_b64":"sAmvFwbr5LL3nmG1Ksjph+TJMwfCs1GcEWgn4ssSR4NCf+LVXaMjKFWdInVLoweG+PpmKDSq7aHMXSONl/AKAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ab917bf0808406ec0d259c4a65438796790ee711d174ba3d88075c37931eb27","last_reissued_at":"2026-07-05T03:47:19.880709Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:47:19.880709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.14517","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":"2026-07-05T03:47:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eEVRSZr7f416eywsGOGl81Iph11ptL5krT6TVDVsBiu/DALNJEp5d7ACmeNDGe5fhXl55R8iLfywmM83dkL3BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T06:38:34.772570Z"},"content_sha256":"224203e625eb62d03fbc17bec1c61704266c166261d5324f532358b178178766","schema_version":"1.0","event_id":"sha256:224203e625eb62d03fbc17bec1c61704266c166261d5324f532358b178178766"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TK4RPPYIBBAG5QGSLHCKMVBYPF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Eric P. Xing, Jianheng Tang, Jiaqi Chen, Jinghui Qin, Liang Lin, Lingbo Liu, Xiaodan Liang","submitted_at":"2021-05-30T12:34:17Z","abstract_excerpt":"Automatic math problem solving has recently attracted increasing attention as a long-standing AI benchmark. In this paper, we focus on solving geometric problems, which requires a comprehensive understanding of textual descriptions, visual diagrams, and theorem knowledge. However, the existing methods were highly dependent on handcraft rules and were merely evaluated on small-scale datasets. Therefore, we propose a Geometric Question Answering dataset GeoQA, containing 4,998 geometric problems with corresponding annotated programs, which illustrate the solving process of the given problems. Co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.14517","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/2105.14517/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":"2026-07-05T03:47:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ShNfYXCTue7XGPrtJI7Ul1rcSD7CVNg6TENIhKspZWyApML027sy7gTz/jAtClD0tQT0qnYclsuVq3mWgKxfBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T06:38:34.772951Z"},"content_sha256":"33e08ba99ee8916221c6c802a3c3af6944e60d1f8671344144f0fdd23a28a71a","schema_version":"1.0","event_id":"sha256:33e08ba99ee8916221c6c802a3c3af6944e60d1f8671344144f0fdd23a28a71a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TK4RPPYIBBAG5QGSLHCKMVBYPF/bundle.json","state_url":"https://pith.science/pith/TK4RPPYIBBAG5QGSLHCKMVBYPF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TK4RPPYIBBAG5QGSLHCKMVBYPF/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":"2026-07-25T06:38:34Z","links":{"resolver":"https://pith.science/pith/TK4RPPYIBBAG5QGSLHCKMVBYPF","bundle":"https://pith.science/pith/TK4RPPYIBBAG5QGSLHCKMVBYPF/bundle.json","state":"https://pith.science/pith/TK4RPPYIBBAG5QGSLHCKMVBYPF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TK4RPPYIBBAG5QGSLHCKMVBYPF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TK4RPPYIBBAG5QGSLHCKMVBYPF","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":"0ae507cac5730c9412fbd733fa1f325b266793556c89e5ff3e1b685fd85f3000","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-05-30T12:34:17Z","title_canon_sha256":"b199975921827c15bc6a5a4988a76369cc5ce105d89d653a101e28a738d10d0e"},"schema_version":"1.0","source":{"id":"2105.14517","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.14517","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"arxiv_version","alias_value":"2105.14517v3","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.14517","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"pith_short_12","alias_value":"TK4RPPYIBBAG","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"pith_short_16","alias_value":"TK4RPPYIBBAG5QGS","created_at":"2026-07-05T03:47:19Z"},{"alias_kind":"pith_short_8","alias_value":"TK4RPPYI","created_at":"2026-07-05T03:47:19Z"}],"graph_snapshots":[{"event_id":"sha256:33e08ba99ee8916221c6c802a3c3af6944e60d1f8671344144f0fdd23a28a71a","target":"graph","created_at":"2026-07-05T03:47:19Z","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/2105.14517/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic math problem solving has recently attracted increasing attention as a long-standing AI benchmark. In this paper, we focus on solving geometric problems, which requires a comprehensive understanding of textual descriptions, visual diagrams, and theorem knowledge. However, the existing methods were highly dependent on handcraft rules and were merely evaluated on small-scale datasets. Therefore, we propose a Geometric Question Answering dataset GeoQA, containing 4,998 geometric problems with corresponding annotated programs, which illustrate the solving process of the given problems. Co","authors_text":"Eric P. Xing, Jianheng Tang, Jiaqi Chen, Jinghui Qin, Liang Lin, Lingbo Liu, Xiaodan Liang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-05-30T12:34:17Z","title":"GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.14517","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":"sha256:224203e625eb62d03fbc17bec1c61704266c166261d5324f532358b178178766","target":"record","created_at":"2026-07-05T03:47:19Z","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":"0ae507cac5730c9412fbd733fa1f325b266793556c89e5ff3e1b685fd85f3000","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-05-30T12:34:17Z","title_canon_sha256":"b199975921827c15bc6a5a4988a76369cc5ce105d89d653a101e28a738d10d0e"},"schema_version":"1.0","source":{"id":"2105.14517","kind":"arxiv","version":3}},"canonical_sha256":"9ab917bf0808406ec0d259c4a65438796790ee711d174ba3d88075c37931eb27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ab917bf0808406ec0d259c4a65438796790ee711d174ba3d88075c37931eb27","first_computed_at":"2026-07-05T03:47:19.880709Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:47:19.880709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sAmvFwbr5LL3nmG1Ksjph+TJMwfCs1GcEWgn4ssSR4NCf+LVXaMjKFWdInVLoweG+PpmKDSq7aHMXSONl/AKAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:47:19.881289Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.14517","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:224203e625eb62d03fbc17bec1c61704266c166261d5324f532358b178178766","sha256:33e08ba99ee8916221c6c802a3c3af6944e60d1f8671344144f0fdd23a28a71a"],"state_sha256":"9c041df412c970b47edff7fd4b1ddd296f64f3d060fca846b222fef776a3824a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qVnaMGovDN+CTF3MmHJG9bM8wTCbpk7YgjvQ36QEdTbtCZ0iKtE3SJUMMOL4N+BZ+Y+r6MIqf0E+92GLEwmgDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-25T06:38:34.775380Z","bundle_sha256":"90489081902974ce9200c5d74e514c5fd485fd5ec2508881202464f292243338"}}