Paper Citation Record · LEDGER

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.11282.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.11282 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.216333Z

measured 0 of 1 external citation measurements

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 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 2026-08-09T06:31:02.800959+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 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 2026-08-09T06:31:02.800959+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.