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Paper Citation Record · LEDGER

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.00499.

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

pith.paper-citation-record.v1
2407.00499 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:32:01.913661Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T20:37:55.462017Z

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 79464991-0fb2-41ab-80cf-62907761878c · inbound

AutoIoT: Automated IoT Platform Using Large Language Models cites this paper.

AutoIoT: Automated IoT Platform Using Large Language Models ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T19:32:01.913661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:32:01.913661Z digest=sha256:6ffe123069bd199476626ecca6cdeaf43118d52445efe1657b4dc8e8aaf0aafd

Observation 6ad07820-64a3-409c-aef5-daee5b9158e4 · inbound

I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion cites this paper.

I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T19:29:16.323366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:29:16.323366Z digest=sha256:20d7dffcfd6e044dbd303ff93a65a78a61ed233abb9538b556e9b77b8d3d6e80

Observation e7f36ecf-6b27-4b89-bc26-ede747f6df64 · inbound

Assessing GPT Model Uncertainty in Mathematical OCR Tasks via Entropy Analysis cites this paper.

Assessing GPT Model Uncertainty in Mathematical OCR Tasks via Entropy Analysis ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T04:42:00.363042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:42:00.363042Z digest=sha256:8d77f3c645e639cf6eca31056a9f8792b51924048f8ad83bef8fec8449ac7332

Observation ed19a778-e90a-4571-be60-ccf34730b9ae · 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 ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees

Reference 219

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:37:55.466812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:37:55.175221Z digest=sha256:8af9fcf00ffe294d55fbc2507ab83150438d37994df2d8cfeded963d9240798b