{"as_of":"2026-08-21T20:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:859343af2f247bfb232c60b36c38cede16ac46a1e13262c8f94d27ab1b082f3e","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":"2026-08-21T06:32:19.484+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":"2026-08-12T14:22:27.983986Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-24T02:03:43.892833Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2008.00364","last_updated":"2021-12-22T11:35:08Z","snapshot_observed_at":"2026-08-15T18:45:59.631264Z","submitted_at":"2020-08-02T00:09:03Z","title":"A Survey on Text Classification: From Shallow to Deep Learning","version":6},"cited_work":{"arxiv_id":"2008.00364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2008.00364","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Yu, and Lifang He","venue":null,"work_id":"023bf9d2-a829-4e02-833d-31738f46ec09","year":2021},"citing_paper":{"arxiv_id":"2404.02138","last_updated":"2026-04-15T01:27:38Z","snapshot_observed_at":"2026-08-15T12:46:13.472024Z","submitted_at":"2024-04-02T17:49:40Z","title":"Topic-Based Watermarks for Large Language Models","version":6},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-05-24T02:03:15.833131Z"},"links":{"cited_paper":"/paper/2008.00364","citing_paper":"/paper/2404.02138"},"observation_digest":"sha256:517689a94ab92b23eb193daf3531401e070b0a2f5afa778d5c31c15e02cb88f3","observation_id":"080688fa-f9cf-48e0-a374-1017fe01d3cb","resolution":{"observed_at":"2026-05-24T02:03:43.896227Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.00364","last_updated":"2021-12-22T11:35:08Z","snapshot_observed_at":"2026-08-15T18:45:59.631264Z","submitted_at":"2020-08-02T00:09:03Z","title":"A Survey on Text Classification: From Shallow to Deep Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.00364","snapshot_observed_at":"2026-08-12T14:22:27.983986Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.15408","last_updated":"2024-11-23T02:17:10Z","snapshot_observed_at":"2026-08-19T23:19:11.334932Z","submitted_at":"2024-11-23T02:17:10Z","title":"Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T14:22:27.983986Z"},"links":{"cited_paper":"/paper/2008.00364","citing_paper":"/paper/2411.15408"},"observation_digest":"sha256:96655d91df1aa6eb7590805ca7bf3964fd385ef1cfb381669cefc9944cd0e435","observation_id":"a46cec65-0461-4b56-897b-4f2c8a2f6766","resolution":{"observed_at":"2026-08-12T14:22:27.983986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.00364","last_updated":"2021-12-22T11:35:08Z","snapshot_observed_at":"2026-08-15T18:45:59.631264Z","submitted_at":"2020-08-02T00:09:03Z","title":"A Survey on Text Classification: From Shallow to Deep Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.00364","snapshot_observed_at":"2026-08-10T23:03:27.791806Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.00174","last_updated":"2025-03-20T19:18:07Z","snapshot_observed_at":"2026-08-13T07:34:44.812610Z","submitted_at":"2024-12-30T23:01:19Z","title":"The Text Classification Pipeline: Starting Shallow going Deeper","version":2},"reference_index":2002,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:27.791806Z"},"links":{"cited_paper":"/paper/2008.00364","citing_paper":"/paper/2501.00174"},"observation_digest":"sha256:f3c3817b5c7c39c9674c8da1a30e9516e9183b20a4b9d8e395f14f21e5b2b4b6","observation_id":"b3b716b1-2369-48e2-8263-117493945d77","resolution":{"observed_at":"2026-08-10T23:03:27.791806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2008.00364/citation-record","integrity":"/paper/2008.00364/integrity","json":"/paper/2008.00364/citation-record.json","paper":"/paper/2008.00364"},"outbound":[],"paper":{"arxiv_id":"2008.00364","last_updated":"2021-12-22T11:35:08Z","latest_version":6,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T18:45:59.631264Z","submitted_at":"2020-08-02T00:09:03Z","title":"A Survey on Text Classification: From Shallow to Deep Learning"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2008.00364."}