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Paper Citation Record · LEDGER

LoGU: Long-form Generation with Uncertainty Expressions

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14309.

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

pith.paper-citation-record.v1
2410.14309 v4

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T12:43:51.019983Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T12:47:18.005563Z

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 98168146-fdfc-4546-a77c-3142dea91bde · inbound

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations cites this paper.

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations LoGU: Long-form Generation with Uncertainty Expressions

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:47:18.007852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T12:43:51.019983Z digest=sha256:e20dd807abf2ffc5694221e803a0f210fa1b2f19f2e8e4edf4b7994b6e25169a

Observation ed53c8f4-6f6f-4feb-9322-a9a4df42770d · inbound

GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models cites this paper.

GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models LoGU: Long-form Generation with Uncertainty Expressions

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:56:42.130120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T17:54:18.515174Z digest=sha256:cab379dd384dee928f8b87ff64a1d6e5268e90c5725f635aec39398c5cb39d61