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Paper Citation Record · LEDGER

On the attribution of confidence to large language models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.08388.

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

pith.paper-citation-record.v1
2407.08388 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:37:54.826902Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:02:13.024647Z

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 e7aee15f-0f3b-4f05-bc58-787215373ed3 · 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 On the attribution of confidence to large language models

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-11T20:37:54.826902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:37:54.826902Z digest=sha256:f068150cdac61b39deeb71e895f476066dd46242a2423fb47dd8fca3db1dbf7f

Observation 971ff9c7-7c7f-4772-af4e-0a21476ade73 · inbound

LitLLMs, LLMs for Literature Review: Are we there yet? cites this paper.

LitLLMs, LLMs for Literature Review: Are we there yet? On the attribution of confidence to large language models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.895230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.895230Z digest=sha256:8bb1a83e1a5474c0f9e09cf2d87104a0589b6dcbaf6bec22b6e1bf5724217947

Observation 5814356c-5a9a-4e27-8f52-54dbc786d150 · inbound

Propositional Interpretability in Artificial Intelligence cites this paper.

Propositional Interpretability in Artificial Intelligence On the attribution of confidence to large language models

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:02:13.031686Z

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.

source=pdf_text observed=2026-08-10T14:02:12.772644Z digest=sha256:a811afe7c7c4dc1a3c9dec81c53439dc9d25f0558c459cf65f1d3d786e7a8f2f