{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:F6WWXOTZVPAHXKIFP4NWXPUTED","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":"789a38f8929cf0bd7811f4fe4088db917f0a6fe175189aff20c62775d2d23025","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-09-16T03:37:54Z","title_canon_sha256":"ea8c0306bea85f064635e379e4a8cff167133d7b7963ccfee0ef85bf4aab92e5"},"schema_version":"1.0","source":{"id":"2009.07448","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.07448","created_at":"2026-07-05T07:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"2009.07448v2","created_at":"2026-07-05T07:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.07448","created_at":"2026-07-05T07:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"F6WWXOTZVPAH","created_at":"2026-07-05T07:14:03Z"},{"alias_kind":"pith_short_16","alias_value":"F6WWXOTZVPAHXKIF","created_at":"2026-07-05T07:14:03Z"},{"alias_kind":"pith_short_8","alias_value":"F6WWXOTZ","created_at":"2026-07-05T07:14:03Z"}],"graph_snapshots":[{"event_id":"sha256:ecfa8fae39e713c31385921c1a8216fc1da82c114412f37507be95b634fc0138","target":"graph","created_at":"2026-07-05T07:14:03Z","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/2009.07448/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Numerical reasoning over texts, such as addition, subtraction, sorting and counting, is a challenging machine reading comprehension task, since it requires both natural language understanding and arithmetic computation. To address this challenge, we propose a heterogeneous graph representation for the context of the passage and question needed for such reasoning, and design a question directed graph attention network to drive multi-step numerical reasoning over this context graph. The code link is at: https://github.com/emnlp2020qdgat/QDGAT","authors_text":"Kunlong Chen, Le Song, Taifeng Wang, Wei Chu, Weidi Xu, Xingyi Cheng, Yuan Qi, Yuyu Zhang, Zou Xiaochuan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-09-16T03:37:54Z","title":"Question Directed Graph Attention Network for Numerical Reasoning over Text"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.07448","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":"sha256:837b378a01737ab99a9e12d980081023f822dcb5311c3ee800fa4dc971cbd54d","target":"record","created_at":"2026-07-05T07:14:03Z","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":"789a38f8929cf0bd7811f4fe4088db917f0a6fe175189aff20c62775d2d23025","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-09-16T03:37:54Z","title_canon_sha256":"ea8c0306bea85f064635e379e4a8cff167133d7b7963ccfee0ef85bf4aab92e5"},"schema_version":"1.0","source":{"id":"2009.07448","kind":"arxiv","version":2}},"canonical_sha256":"2fad6bba79abc07ba9057f1b6bbe9320fbbdf1e8b8e1299d79d2e19c6092a469","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2fad6bba79abc07ba9057f1b6bbe9320fbbdf1e8b8e1299d79d2e19c6092a469","first_computed_at":"2026-07-05T07:14:03.207459Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:14:03.207459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C4D5aeKCVawcf0joxYa3woL7qT3UXLuhio5yo3KoZALUBS1SHPxx4vGtszBMnXsiUGzyajIq2SmxBb2j2mBXBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:14:03.207870Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.07448","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:837b378a01737ab99a9e12d980081023f822dcb5311c3ee800fa4dc971cbd54d","sha256:ecfa8fae39e713c31385921c1a8216fc1da82c114412f37507be95b634fc0138"],"state_sha256":"f4fde91c9d68e1a3038568613538e11e78ca5ac6466fa0dd384bf8d3d7451060"}