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Paper Citation Record · LEDGER

Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.14845.

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

pith.paper-citation-record.v1
2407.14845 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:35:21.387836Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation efbd91ca-cfc7-4fa5-bbd1-1a88a35d9838 · inbound

Multimodal LLM Augmented Reasoning for Interpretable Visual Perception Analysis cites this paper.

Multimodal LLM Augmented Reasoning for Interpretable Visual Perception Analysis Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T12:35:21.387836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:21.387836Z digest=sha256:d390f651819503d46148ee2349e9e99eacb10ca51bec1370b00483cf2bd93f34

Observation 7a71dfd9-8692-4ecd-bcac-79e940ee8bfd · inbound

Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines cites this paper.

Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:48:27.616623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T01:45:12.316367Z digest=sha256:618db5014f599ed2d5f3d1986d92bb52dde4eaac2f371fc8fb51e3873fb2d511