{"as_of":"2026-08-24T04:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9a13cba5b3a10d817910483f1353deee364d32189314b38ec044b682e05cb680","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:32:12.261967Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-14T06:06:27.959501Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1709.01058","last_updated":"2018-08-28T14:04:39Z","snapshot_observed_at":"2026-08-15T04:01:18.025766Z","submitted_at":"2017-09-04T17:54:49Z","title":"A Unified Query-based Generative Model for Question Generation and Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.01058","snapshot_observed_at":"2026-08-14T13:32:12.261967Z","title":"A unified query-based generative model for question generation and question answering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.04942","last_updated":"2020-08-27T15:49:08Z","snapshot_observed_at":"2026-08-18T02:07:27.138512Z","submitted_at":"2019-08-14T03:40:04Z","title":"Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T13:32:12.261967Z"},"links":{"cited_paper":"/paper/1709.01058","citing_paper":"/paper/1908.04942"},"observation_digest":"sha256:7e98499f806c44814369ad2fd5c32b06d74e08f142566d1bc030867bd643eb7f","observation_id":"aa91904c-f0a4-47b4-86e9-611f3c78176a","resolution":{"observed_at":"2026-08-14T13:32:12.261967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1709.01058","last_updated":"2018-08-28T14:04:39Z","snapshot_observed_at":"2026-08-15T04:01:18.025766Z","submitted_at":"2017-09-04T17:54:49Z","title":"A Unified Query-based Generative Model for Question Generation and Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.01058","snapshot_observed_at":"2026-08-14T11:50:52.507509Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.08167","last_updated":"2019-10-02T02:28:53Z","snapshot_observed_at":"2026-08-20T12:30:28.749372Z","submitted_at":"2019-08-22T02:00:53Z","title":"Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T11:50:52.507509Z"},"links":{"cited_paper":"/paper/1709.01058","citing_paper":"/paper/1908.08167"},"observation_digest":"sha256:edb23f904669bf456177ea77b0633cf78d7f8764a88a2984dbf742753537fcd0","observation_id":"8c23bd21-03d2-41b7-b2b4-5a26a0f3313f","resolution":{"observed_at":"2026-08-14T11:50:52.507509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1709.01058","last_updated":"2018-08-28T14:04:39Z","snapshot_observed_at":"2026-08-15T04:01:18.025766Z","submitted_at":"2017-09-04T17:54:49Z","title":"A Unified Query-based Generative Model for Question Generation and Question Answering","version":2},"cited_work":{"arxiv_id":"1709.01058","doi":null,"metadata_source":"pith","pith_arxiv_id":"1709.01058","snapshot_observed_at":"2026-08-14T06:06:27.959501Z","title":"A Unified Query-based Generative Model for Question Generation and Question Answering","venue":"cs.CL","work_id":"2e2ffa0f-fc81-429e-a353-1c7dcffb338c","year":2017},"citing_paper":{"arxiv_id":"1909.05355","last_updated":"2019-08-31T04:03:26Z","snapshot_observed_at":"2026-08-19T03:46:24.974854Z","submitted_at":"2019-08-31T04:03:26Z","title":"Let's Ask Again: Refine Network for Automatic Question Generation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-14T06:06:27.882151Z"},"links":{"cited_paper":"/paper/1709.01058","citing_paper":"/paper/1909.05355"},"observation_digest":"sha256:3cbfa2b8ba742b431e6200aaf558c28c81c77036916fe891299d3d4510b971d0","observation_id":"3dd4656a-fc57-4bc9-9659-fa3993155be0","resolution":{"observed_at":"2026-08-14T06:06:27.966890Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1709.01058/citation-record","integrity":"/paper/1709.01058/integrity","json":"/paper/1709.01058/citation-record.json","paper":"/paper/1709.01058"},"outbound":[],"paper":{"arxiv_id":"1709.01058","last_updated":"2018-08-28T14:04:39Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T04:01:18.025766Z","submitted_at":"2017-09-04T17:54:49Z","title":"A Unified Query-based Generative Model for Question Generation and Question Answering"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1709.01058."}