Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.11282.
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 2026-08-15T21:48:35.615892Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:42:34.031212Z
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 f0a69176-74bc-4f57-b198-95dca1856bb1 · inbound
Universal and Context-Independent Triggers for Precise Control of LLM Outputs cites this paper.
Universal and Context-Independent Triggers for Precise Control of LLM Outputs Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:00:14.302708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78c63f92-4ccd-43bd-a20b-6171e5aa065f · inbound
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Reference 245
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:37:55.243068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2efe421b-554c-4790-a9e5-1fcf02b5eeca · inbound
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Reference 161
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:42:34.036098Z
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 e1a77d20-191f-46d8-bcb1-3ba1d7395651 · inbound
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:50:00.216333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12fb5ba9-14f2-4c04-9d21-971de2d88985 · inbound
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit cites this paper.
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:39:55.118786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba09b003-e57a-4ba1-9857-b51e13a24c2b · inbound
Performance Gains of LLMs With Humans in a World of LLMs Versus Humans cites this paper.
Performance Gains of LLMs With Humans in a World of LLMs Versus Humans Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:48:35.615892Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 469c41f8-d63c-4c8f-887b-daae1b2c9daa · inbound
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs cites this paper.
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:06:24.976962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76264999-2a11-496a-ab1a-9066decac9d6 · inbound
SWAY: A Counterfactual Computational Linguistic Approach to Measuring and Mitigating Sycophancy cites this paper.
SWAY: A Counterfactual Computational Linguistic Approach to Measuring and Mitigating Sycophancy Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T21:48:19.274250Z
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 05bd0be3-07b4-4d53-beaa-bb7b9b2db49c · inbound
Reliability Scaling Laws for Quantized Large Language Models cites this paper.
Reliability Scaling Laws for Quantized Large Language Models Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T08:45:52.855783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.