Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.02476.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:09.658457Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:07:56.177135Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 80649c5c-bc18-46b5-9dd4-e8dfc686e21d · inbound
Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy cites this paper.
Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:58:09.658457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87cc9c98-6180-4371-9be2-2ff71dfbe7d8 · inbound
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T07:25:28.984565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b76a31e9-cb83-4fcc-9c6f-98ae0397adc0 · inbound
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:38:13.467660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e08ce00-d729-4688-bcf2-2b95f03f0d9c · inbound
Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data cites this paper.
Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:07:56.178588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.