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Paper Citation Record · LEDGER

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.11803.

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

pith.paper-citation-record.v1
2412.11803 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:02.341802Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:03:54.189618Z

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 cb9f8a6f-9767-4edf-a3d1-afd94ad24560 · inbound

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning cites this paper.

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:02.341802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:02.341802Z digest=sha256:23c3624c8deb08c97776bb5e409a1c93a9d490795ecb0405f21af70962e3268d

Observation 6d53aff8-8877-4db7-89e0-ea4117555be7 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:03:54.285039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:03:52.326597Z digest=sha256:f229d95a2edd8896a930ac44aba5af4ffa6bb8b9adfe90122cedc371fe733620