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Paper Citation Record · LEDGER

Prompt-Guided Internal States for Hallucination Detection of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.04847.

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

pith.paper-citation-record.v1
2411.04847 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:50:11.727900Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:02:05.243932Z

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 c14d9a1d-d54b-405c-9bab-1c4a082830b7 · inbound

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? cites this paper.

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? Prompt-Guided Internal States for Hallucination Detection of Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:11.727900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:50:11.727900Z digest=sha256:706a8215915a30a718c603e775bc7bd6a3d8dd156b63e395e7003157dc7bd481

Observation f3c67bf2-ced8-420a-89f4-cd7977bde9b5 · inbound

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features cites this paper.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Prompt-Guided Internal States for Hallucination Detection of Large Language Models

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:02:05.326893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:02:05.171757Z digest=sha256:41c6f0bde205ca3d4856a2a3f54d89be32d62f12e3fffd2045ee0cc12937ef20