{"as_of":"2026-08-10T06:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ddb844496d06101ef1a5d3136cedd4320f738472bb60073ab6529dc230e8e83b","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T13:29:20.946328Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-10T05:30:23.456663Z","state":"measured"}],"external_citation_measurements":[{"count":12,"observed_at":"2026-08-10T05:30:23.456663Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.12171","last_updated":"2024-04-18T13:25:29Z","snapshot_observed_at":"2026-08-03T10:37:25.345517Z","submitted_at":"2024-04-18T13:25:29Z","title":"Stance Detection on Social Media with Fine-Tuned Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12171","snapshot_observed_at":"2026-08-09T13:29:20.946328Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-09T13:23:47.667377Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.946328Z"},"links":{"cited_paper":"/paper/2404.12171","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:1d340fde8b3bafb7b09e4b1746b4b69219564668e1a37a3b6dc8baf515398725","observation_id":"2e2d19da-839a-4ec9-9b95-6a8427bbe8bf","resolution":{"observed_at":"2026-08-09T13:29:20.946328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12171","last_updated":"2024-04-18T13:25:29Z","snapshot_observed_at":"2026-08-03T10:37:25.345517Z","submitted_at":"2024-04-18T13:25:29Z","title":"Stance Detection on Social Media with Fine-Tuned Large Language Models","version":1},"cited_work":{"arxiv_id":"2404.12171","doi":"10.48550/arxiv.2404.12171","metadata_source":"pith","pith_arxiv_id":"2404.12171","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Stance Detection on Social Media with Fine-Tuned Large Language Models","venue":"cs.CL","work_id":"76094118-af3a-41aa-8bdd-569593a3d27b","year":2024},"citing_paper":{"arxiv_id":"2507.08440","last_updated":"2025-07-11T09:31:10Z","snapshot_observed_at":"2026-08-09T17:01:36.023291Z","submitted_at":"2025-07-11T09:31:10Z","title":"Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:53.967301Z"},"links":{"cited_paper":"/paper/2404.12171","citing_paper":"/paper/2507.08440"},"observation_digest":"sha256:e867a332ae1b623e7ef4d34d9a9f15aab75d76972a3a239bae64b50954b17c0a","observation_id":"9a0e7d44-c61a-47db-bd7c-2a4da818e148","resolution":{"observed_at":"2026-08-06T18:24:55.240708Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.12171/citation-record","integrity":"/paper/2404.12171/integrity","json":"/paper/2404.12171/citation-record.json","paper":"/paper/2404.12171"},"outbound":[],"paper":{"arxiv_id":"2404.12171","last_updated":"2024-04-18T13:25:29Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-03T10:37:25.345517Z","submitted_at":"2024-04-18T13:25:29Z","title":"Stance Detection on Social Media with Fine-Tuned Large Language Models"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.12171."}