Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Resilience of Large Language Models for Noisy Instructions
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.09754.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:41.427522Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T00:50:14.011948Z
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 9f17c95a-c6e2-4c0d-933c-4b2b45d6670f · inbound
VoiceBench: Benchmarking LLM-Based Voice Assistants cites this paper.
VoiceBench: Benchmarking LLM-Based Voice Assistants Resilience of Large Language Models for Noisy Instructions
Reference 98
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:50:14.014311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2b258087-4b1d-4172-b964-beb4201d1fb9 · inbound
LLM Performance for Code Generation on Noisy Tasks cites this paper.
LLM Performance for Code Generation on Noisy Tasks Resilience of Large Language Models for Noisy Instructions
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:41.427522Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e1796fb-0d18-4d8c-97d9-4738e8dd5fb1 · inbound
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark cites this paper.
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark Resilience of Large Language Models for Noisy Instructions
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:55:54.834575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.