{"as_of":"2026-08-08T14:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6c8d2ff70b62c7fc686f349826de233a95bf380f6ba8e99d91b66440d8869c8b","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T12:56:20.039482Z","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":"2026-05-16T07:00:42.982778Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.04528","last_updated":"2024-06-06T22:01:59Z","snapshot_observed_at":"2026-08-07T03:43:58.545274Z","submitted_at":"2024-06-06T22:01:59Z","title":"llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04528","snapshot_observed_at":"2026-08-07T12:56:20.039482Z","title":"arXiv preprint arXiv:2406.04528","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23174","last_updated":"2025-05-29T07:12:46Z","snapshot_observed_at":"2026-08-07T12:49:12.873889Z","submitted_at":"2025-05-29T07:12:46Z","title":"Map&Make: Schema Guided Text to Table Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:20.039482Z"},"links":{"cited_paper":"/paper/2406.04528","citing_paper":"/paper/2505.23174"},"observation_digest":"sha256:1135493eb8df9a0af6ad1cbcb7e96c51139d8f4387691a70afe739a1c81e8492","observation_id":"c7d9d256-6bb0-4733-9474-acb35739f5c0","resolution":{"observed_at":"2026-08-07T12:56:20.039482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04528","last_updated":"2024-06-06T22:01:59Z","snapshot_observed_at":"2026-08-07T03:43:58.545274Z","submitted_at":"2024-06-06T22:01:59Z","title":"llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models","version":1},"cited_work":{"arxiv_id":"2406.04528","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04528","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"llmner: (zero—few)-shot named entity recognition, exploiting the power of large language models","venue":null,"work_id":"689f3b27-9d17-459e-a7a3-fd18281dfb0f","year":2024},"citing_paper":{"arxiv_id":"2602.07303","last_updated":"2026-04-17T15:29:54Z","snapshot_observed_at":"2026-08-03T09:54:39.877691Z","submitted_at":"2026-02-07T01:30:19Z","title":"KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-16T06:59:23.030671Z"},"links":{"cited_paper":"/paper/2406.04528","citing_paper":"/paper/2602.07303"},"observation_digest":"sha256:3721153d5a92640d9ae1555d35c1d681e46acfa99fd3ea21ca7afd9b7659a94d","observation_id":"46b5abdb-4009-4970-8ab6-658e10833be2","resolution":{"observed_at":"2026-05-16T07:00:42.985767Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04528","last_updated":"2024-06-06T22:01:59Z","snapshot_observed_at":"2026-08-07T03:43:58.545274Z","submitted_at":"2024-06-06T22:01:59Z","title":"llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04528","snapshot_observed_at":"2026-08-02T19:29:00.282550Z","title":"arXiv preprint arXiv:2406.04528 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.02150","last_updated":"2026-07-08T09:02:49Z","snapshot_observed_at":"2026-08-02T19:28:55.276058Z","submitted_at":"2026-03-02T18:12:02Z","title":"Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T19:29:00.282550Z"},"links":{"cited_paper":"/paper/2406.04528","citing_paper":"/paper/2603.02150"},"observation_digest":"sha256:80253c2a94e6754b4ae68a3135d7cee6fef62c6640c09936abe93fea31d8f609","observation_id":"9fe100a3-8048-4de7-9c97-c5e7eeced9c9","resolution":{"observed_at":"2026-08-02T19:29:00.282550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.04528/citation-record","integrity":"/paper/2406.04528/integrity","json":"/paper/2406.04528/citation-record.json","paper":"/paper/2406.04528"},"outbound":[],"paper":{"arxiv_id":"2406.04528","last_updated":"2024-06-06T22:01:59Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T03:43:58.545274Z","submitted_at":"2024-06-06T22:01:59Z","title":"llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of 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":"2026-08-08T06:32:00.761636+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 3 inbound Pith citation observations for arXiv:2406.04528."}