{"as_of":"2026-08-08T23:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f60277dbecadfe21245e50e8e1e0ba6953d8dbe8a0ff9cf6f9028b41302da601","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:58:09.658457Z","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":"2026-07-03T10:07:56.177135Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.02476","last_updated":"2024-11-04T18:06:36Z","snapshot_observed_at":"2026-08-07T11:31:30.794332Z","submitted_at":"2024-11-04T18:06:36Z","title":"A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02476","snapshot_observed_at":"2026-08-07T10:58:09.658457Z","title":"A comparative analysis of in- struction fine-tuning llms for financial text classification.arXiv preprint arXiv:2411.02476, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04290","last_updated":"2025-06-07T12:46:05Z","snapshot_observed_at":"2026-08-07T10:52:37.674751Z","submitted_at":"2025-06-04T10:24:40Z","title":"Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T10:58:09.658457Z"},"links":{"cited_paper":"/paper/2411.02476","citing_paper":"/paper/2506.04290"},"observation_digest":"sha256:ddfd1e80f42042a8a5f07097377d0051433acf1bd101dcec6fee3c9c3e6d24d3","observation_id":"80649c5c-bc18-46b5-9dd4-e8dfc686e21d","resolution":{"observed_at":"2026-08-07T10:58:09.658457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02476","last_updated":"2024-11-04T18:06:36Z","snapshot_observed_at":"2026-08-07T11:31:30.794332Z","submitted_at":"2024-11-04T18:06:36Z","title":"A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification","version":1},"cited_work":{"arxiv_id":"2411.02476","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.02476","snapshot_observed_at":"2026-07-03T10:07:56.177135Z","title":"A comparative analysis of instruction fine-tuning llms for financial text classification.arXiv preprint arXiv:2411.02476","venue":null,"work_id":"7d84d086-804a-4380-bb16-a0de55aa1c86","year":2024},"citing_paper":{"arxiv_id":"2512.12677","last_updated":"2026-05-25T16:57:18Z","snapshot_observed_at":"2026-08-03T16:38:10.732856Z","submitted_at":"2025-12-14T13:02:06Z","title":"Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-25T07:23:53.703286Z"},"links":{"cited_paper":"/paper/2411.02476","citing_paper":"/paper/2512.12677"},"observation_digest":"sha256:df3feffd440dc124032eed76abdd5f9d7a6a58061b2c0c6fb6bf350fa6d57cce","observation_id":"87cc9c98-6180-4371-9be2-2ff71dfbe7d8","resolution":{"observed_at":"2026-05-25T07:25:28.984565Z","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":"2411.02476","last_updated":"2024-11-04T18:06:36Z","snapshot_observed_at":"2026-08-07T11:31:30.794332Z","submitted_at":"2024-11-04T18:06:36Z","title":"A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02476","snapshot_observed_at":"2026-08-03T16:38:13.467660Z","title":"A comparative analysis of instruction fine-tuning llms for financial text classification.arXiv preprint arXiv:2411.02476,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.12677","last_updated":"2026-05-25T16:57:18Z","snapshot_observed_at":"2026-08-03T16:38:10.732856Z","submitted_at":"2025-12-14T13:02:06Z","title":"Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T16:38:13.467660Z"},"links":{"cited_paper":"/paper/2411.02476","citing_paper":"/paper/2512.12677"},"observation_digest":"sha256:238ee7eae83917ea1038024adc668d4b16a5210c6b0e49803037e5df07eea5b5","observation_id":"b76a31e9-cb83-4fcc-9c6f-98ae0397adc0","resolution":{"observed_at":"2026-08-03T16:38:13.467660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02476","last_updated":"2024-11-04T18:06:36Z","snapshot_observed_at":"2026-08-07T11:31:30.794332Z","submitted_at":"2024-11-04T18:06:36Z","title":"A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification","version":1},"cited_work":{"arxiv_id":"2411.02476","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.02476","snapshot_observed_at":"2026-07-03T10:07:56.177135Z","title":"A comparative analysis of instruction fine-tuning llms for financial text classification.arXiv preprint arXiv:2411.02476","venue":null,"work_id":"7d84d086-804a-4380-bb16-a0de55aa1c86","year":2024},"citing_paper":{"arxiv_id":"2606.11961","last_updated":"2026-06-10T11:41:13Z","snapshot_observed_at":"2026-08-08T19:59:53.963359Z","submitted_at":"2026-06-10T11:41:13Z","title":"Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T10:14:07.904158Z"},"links":{"cited_paper":"/paper/2411.02476","citing_paper":"/paper/2606.11961"},"observation_digest":"sha256:8f9b55c8f35a3f5cba933027cc5a97b1fda51f4ab61e56cc4ac1fe26c00af618","observation_id":"0e08ce00-d729-4688-bcf2-2b95f03f0d9c","resolution":{"observed_at":"2026-07-03T10:07:56.178588Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2411.02476/citation-record","integrity":"/paper/2411.02476/integrity","json":"/paper/2411.02476/citation-record.json","paper":"/paper/2411.02476"},"outbound":[],"paper":{"arxiv_id":"2411.02476","last_updated":"2024-11-04T18:06:36Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T11:31:30.794332Z","submitted_at":"2024-11-04T18:06:36Z","title":"A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification"},"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 4 inbound Pith citation observations for arXiv:2411.02476."}