Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.10615.
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 2026-08-07T10:50:50.123055Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T11:21:28.888857Z
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 ff266c60-fd7f-4f17-be12-b9326f88f34a · inbound
Does Prompt Design Impact Quality of Data Imputation by LLMs? cites this paper.
Does Prompt Design Impact Quality of Data Imputation by LLMs? Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:50:50.123055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 643bfefb-903e-4ae0-a358-f131c5cef569 · inbound
Robust Reasoning Benchmark cites this paper.
Robust Reasoning Benchmark Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:08:21.741429Z
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.
Observation 0ae93e5f-135e-47e7-80aa-1ddb973e15c1 · inbound
Robust Reasoning Benchmark cites this paper.
Robust Reasoning Benchmark Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:21:28.892037Z
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.
Observation fe7b9ea4-725c-408f-bdd9-7d979d3b9673 · inbound
Robust Reasoning Benchmark cites this paper.
Robust Reasoning Benchmark Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:25:30.774294Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.