Paper Citation Record · LEDGER

Perceptions of Linguistic Uncertainty by Language Models and Humans

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.15814.

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

pith.paper-citation-record.v1
2407.15814 v2

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 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:36:49.032219Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-08T10:04:51.485222Z

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 ac6ac219-9a48-4f57-8e4a-836d64dbefee · inbound

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories cites this paper.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Perceptions of Linguistic Uncertainty by Language Models and Humans

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:27.885872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f834338a-fab8-4f5e-b1b9-00dc945426e6 · inbound

Logical forms complement probability in understanding language model (and human) performance cites this paper.

Logical forms complement probability in understanding language model (and human) performance Perceptions of Linguistic Uncertainty by Language Models and Humans

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T20:58:42.693697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a315e8c-e0d1-4fed-ab43-5d818c83ef4d · inbound

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents cites this paper.

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents Perceptions of Linguistic Uncertainty by Language Models and Humans

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:18.215676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 040bf658-455f-4dcf-a43a-841e691046fb · inbound

Revisiting Uncertainty Estimation and Calibration of Large Language Models cites this paper.

Revisiting Uncertainty Estimation and Calibration of Large Language Models Perceptions of Linguistic Uncertainty by Language Models and Humans

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:38.924855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f436ca37-a907-417c-8182-5dc8759e67c5 · inbound

Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty cites this paper.

Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty Perceptions of Linguistic Uncertainty by Language Models and Humans

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T17:36:49.032219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5273b271-3f80-4469-b742-d3ef62eb402e · inbound

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs cites this paper.

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs Perceptions of Linguistic Uncertainty by Language Models and Humans

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T10:04:51.488062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.