Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.08277.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:59:28.404144Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T13:31:03.157521Z
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 0b974c4b-d072-4d86-92b9-9d2fd34eaa67 · inbound
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis cites this paper.
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:59:28.404144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50a07832-9a34-4150-8f29-d289a2840f83 · inbound
HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation cites this paper.
HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:24:51.809937Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90242b1b-8ea8-4e1b-b649-e37f805233cb · inbound
Discerning Authorship in Online Health Communities: Experience, Trust, and Transparency Implications for Moderating AI cites this paper.
Discerning Authorship in Online Health Communities: Experience, Trust, and Transparency Implications for Moderating AI Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:31:03.161754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.