Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.00353.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:41.911329Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T21:22:08.850527Z
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 e3ec0b30-336d-4794-9424-41fd728a6e8c · inbound
A Survey of Scaling in Large Language Model Reasoning cites this paper.
A Survey of Scaling in Large Language Model Reasoning U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:22:08.853374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f34dd3d5-1850-4cb0-9231-9cfd5e9aab68 · inbound
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey cites this paper.
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack
Reference 125
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:40:41.911329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a2461e7-46b9-4203-a1b8-ba5d478b07d1 · inbound
Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models cites this paper.
Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:01:00.797342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.