{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:55LSX7YTQWSRQL4TKOQVQA5GTT","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":"350b434c6a89f63b69877e197cae3c4c84241dddb9b174b694f8a4b77b6479f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-24T08:27:42Z","title_canon_sha256":"966caeb5961c387cdced7037a39a3f237c2f5e721ac35d75ebdfa7cafc68f593"},"schema_version":"1.0","source":{"id":"1911.10470","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.10470","created_at":"2026-07-05T00:40:45Z"},{"alias_kind":"arxiv_version","alias_value":"1911.10470v2","created_at":"2026-07-05T00:40:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.10470","created_at":"2026-07-05T00:40:45Z"},{"alias_kind":"pith_short_12","alias_value":"55LSX7YTQWSR","created_at":"2026-07-05T00:40:45Z"},{"alias_kind":"pith_short_16","alias_value":"55LSX7YTQWSRQL4T","created_at":"2026-07-05T00:40:45Z"},{"alias_kind":"pith_short_8","alias_value":"55LSX7YT","created_at":"2026-07-05T00:40:45Z"}],"graph_snapshots":[{"event_id":"sha256:d180f8a73763b11994ad301e40c41b3584a22ec46848ebcd6b0eea7270484b81","target":"graph","created_at":"2026-07-05T00:40:45Z","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/1911.10470/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Answering questions that require multi-hop reasoning at web-scale necessitates retrieving multiple evidence documents, one of which often has little lexical or semantic relationship to the question. This paper introduces a new graph-based recurrent retrieval approach that learns to retrieve reasoning paths over the Wikipedia graph to answer multi-hop open-domain questions. Our retriever model trains a recurrent neural network that learns to sequentially retrieve evidence paragraphs in the reasoning path by conditioning on the previously retrieved documents. Our reader model ranks the reasoning","authors_text":"Akari Asai, Caiming Xiong, Hannaneh Hajishirzi, Kazuma Hashimoto, Richard Socher","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-24T08:27:42Z","title":"Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.10470","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:a6c784d9b0e037633f82e1891e8526eb7233fa3504752a49657dca32ba478197","target":"record","created_at":"2026-07-05T00:40:45Z","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":"350b434c6a89f63b69877e197cae3c4c84241dddb9b174b694f8a4b77b6479f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-24T08:27:42Z","title_canon_sha256":"966caeb5961c387cdced7037a39a3f237c2f5e721ac35d75ebdfa7cafc68f593"},"schema_version":"1.0","source":{"id":"1911.10470","kind":"arxiv","version":2}},"canonical_sha256":"ef572bff1385a5182f9353a15803a69cde7e6815ab448b9af1bd1e05a39ff440","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef572bff1385a5182f9353a15803a69cde7e6815ab448b9af1bd1e05a39ff440","first_computed_at":"2026-07-05T00:40:45.825492Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:40:45.825492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Oeq9KKpzOfsBOXjRFrfTqYfkYaCD1WbHrw38eqwUkhAGznD0orpR88grGl8okvwC389ahzt12nV9nlq7qsnyBg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:40:45.826010Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.10470","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6c784d9b0e037633f82e1891e8526eb7233fa3504752a49657dca32ba478197","sha256:d180f8a73763b11994ad301e40c41b3584a22ec46848ebcd6b0eea7270484b81"],"state_sha256":"1c0e9c6d40c8230c3276ef239a8d1df029b199ff75826b53875fa9313f4c75e3"}