Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Structured information extraction from complex scientific text with fine-tuned large language models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.05238.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:06:26.593731Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T11:05:29.213334Z
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 5b0c2ca9-0df1-409b-b09e-da75570ff7f3 · inbound
Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames cites this paper.
Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames Structured information extraction from complex scientific text with fine-tuned large language models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:06:26.593731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e469745-ce7d-45b8-9963-44d36d47a76d · inbound
A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models cites this paper.
A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models Structured information extraction from complex scientific text with fine-tuned large language models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:55:31.664573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f979c861-d732-4a17-b0bb-aec1e2f8504c · inbound
Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods cites this paper.
Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods Structured information extraction from complex scientific text with fine-tuned large language models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T11:05:29.215440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5e5b2989-5bcf-4341-a441-c945d5e9a691 · inbound
ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery cites this paper.
ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery Structured information extraction from complex scientific text with fine-tuned large language models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:25:07.784726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 150c0a69-b6f5-42fa-bd2e-113628553458 · inbound
Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case cites this paper.
Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case Structured information extraction from complex scientific text with fine-tuned large language models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T21:19:05.557235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.