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Paper Citation Record · LEDGER

Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.17234.

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

pith.paper-citation-record.v1
2410.17234 v1

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T09:43:05.524088Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 56a8d8cf-3450-4091-87fd-117dcfb5e0c5 · inbound

Causal Evidence that Language Models use Confidence to Drive Behavior cites this paper.

Causal Evidence that Language Models use Confidence to Drive Behavior Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:44:05.676218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T09:43:05.524088Z digest=sha256:b3a83cef048c4f406d3ec27f3aba811b4dfbeba962687a8e069e95620ff3e960

Observation ececa5e3-be36-45f4-965c-ffc7c07be976 · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:19:26.862581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:a3d8a57d5709750483b83e59067825b817d22ae67bee9c9fd5cc1312dcdaf05b