Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.03957.
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 2026-08-06T20:39:31.411111Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:26:50.914299Z
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 3084d629-5a51-42b5-a6ca-cf786abcc599 · inbound
CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation cites this paper.
CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T18:26:50.917748Z
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 5301263c-55ce-4c03-b3e6-248dc15c1d01 · inbound
Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting cites this paper.
Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:39:31.411111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.