{"as_of":"2026-08-08T22:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1a4810562e5f8834d9edcb1b77cbc2ddafae71f8b72efe931f3bf75e745a555a","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:21:53.285878Z","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":"2026-08-07T13:22:14.890738Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1707.04596","last_updated":"2017-07-14T18:05:49Z","snapshot_observed_at":"2026-07-06T05:51:11.494636Z","submitted_at":"2017-07-14T18:05:49Z","title":"DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging","version":1},"cited_work":{"arxiv_id":"1707.04596","doi":null,"metadata_source":"pith","pith_arxiv_id":"1707.04596","snapshot_observed_at":"2026-08-07T13:22:14.890738Z","title":"DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging","venue":"cs.CL","work_id":"7cd83ea5-29f2-4913-841f-5be4de63a589","year":2017},"citing_paper":{"arxiv_id":"2505.22032","last_updated":"2025-05-28T06:53:33Z","snapshot_observed_at":"2026-08-07T13:14:27.767825Z","submitted_at":"2025-05-28T06:53:33Z","title":"Retweets, Receipts, and Resistance: Discourse, Sentiment, and Credibility in Public Health Crisis Twitter","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:21:53.285878Z"},"links":{"cited_paper":"/paper/1707.04596","citing_paper":"/paper/2505.22032"},"observation_digest":"sha256:c2f4d94b324d3aab8664e1e970eb61b2d050ac0a7d4374e84ddecb07cfcab261","observation_id":"d4b5287d-e12c-4243-bde9-a2c8a612016d","resolution":{"observed_at":"2026-08-07T13:22:14.973227Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1707.04596/citation-record","integrity":"/paper/1707.04596/integrity","json":"/paper/1707.04596/citation-record.json","paper":"/paper/1707.04596"},"outbound":[],"paper":{"arxiv_id":"1707.04596","last_updated":"2017-07-14T18:05:49Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T05:51:11.494636Z","submitted_at":"2017-07-14T18:05:49Z","title":"DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1707.04596."}