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Paper Citation Record · LEDGER

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models

As of 16 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2508.01862.

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

pith.paper-citation-record.v1
2508.01862 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:23:59.978259Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:42:27.753911Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df04d0d2-5a03-4c6e-825a-c4f556f516bc · outbound

This paper cites and Mitchell, T.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models and Mitchell, T

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:24:01.695465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T05:23:58.803204Z digest=sha256:e80aa699b47570b02b0558583cced372081f620bcfd4ff57a70d9690738498d5

Observation 1a092e7e-955f-4292-88af-322abf81fa8e · outbound

This paper cites an unresolved cited work.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:24:01.431065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T05:23:59.002705Z digest=sha256:fe4786a8a7066ef9be0259b0358770536fd47743534554f3412706de89159eae

Observation 6c7e85fb-98af-48f8-86e1-680ea58573af · outbound

This paper cites Language Models (Mostly) Know What They Know.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models Language Models (Mostly) Know What They Know

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T05:23:59.163411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:23:59.163411Z digest=sha256:bd89282669585f7b9af3cd29ef6fdd0608af2adc5a1740ab22fbe36f2cfe2e8d

Observation 38d56c73-34c6-40fd-b74c-5e1c9b80c8de · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models On faithfulness and factuality in abstractive summarization

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:24:00.975628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T05:23:59.440913Z digest=sha256:59ae28de2b1493fb26d606153dff52141f2f43a09ac731f15484ed31ec2ff47b

Observation 3922976b-1d14-47c8-be79-2dcc186fe842 · outbound

This paper cites Kilt: a benchmark for knowledge intensive language tasks.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models Kilt: a benchmark for knowledge intensive language tasks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:24:00.732844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T05:23:59.573740Z digest=sha256:9b2a5693aacb11098b47c6aafc9889cd3c124dcc24672acb45eea42d625055d8

Observation e58f5340-af50-4673-a84a-48a9de34dc65 · outbound

This paper cites The curious case of hallucinations in neural machine transla- tion.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models The curious case of hallucinations in neural machine transla- tion

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:24:00.587292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T05:23:59.657935Z digest=sha256:fcbc2b941960965154df7406fdb35327dbeeb8c992cfd01976305058387019a9

Observation 2e4a1358-823d-4b3c-a8d3-b2a2da09ad85 · outbound

This paper cites Fever: a large-scale dataset for fact extraction and verification.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models Fever: a large-scale dataset for fact extraction and verification

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:24:00.377050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T05:23:59.793721Z digest=sha256:52cb78c38f80c503d4924f33b079fa96e3be39492b81847181574fd11ddca28a

Observation 26ba593d-1d6b-45c3-bde5-cbd3c8ec7b45 · outbound

This paper cites A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T05:23:59.978259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:23:59.978259Z digest=sha256:a4404f6fe3a8e59dfaac960fc03621341bde41ad17d772abb29f5061064fdcb0

Observation 0e257a96-023e-4eee-8c10-a9eead34d43a · outbound

This paper cites Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-06T05:23:59.897211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:23:59.897211Z digest=sha256:5203881ff703f96e0cccfd7a943ed2718a12e573f1376ac519102c355c830ac1

Observation 3880a93d-eaa2-4307-ad31-bdc26af81113 · outbound

This paper cites an unresolved cited work.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:24:01.170425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T05:23:59.263461Z digest=sha256:ddaa65c9243b9e589d30fcd08a0ec4c94591ac2a2c39b6134b078080847ff0ce

Observation 2d52b81a-4333-4c9f-966e-f7504f35c85f · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T05:23:59.077640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:23:59.077640Z digest=sha256:5e8807ca538366140c7c2e7c96d70ea73defec36db8b8d599cf763bbdea681e8

Observation a5842b6e-284a-4084-b50b-91ecb1d5a297 · outbound

This paper cites LM vs LM: Detecting Factual Errors via Cross Examination.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models LM vs LM: Detecting Factual Errors via Cross Examination

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T05:23:58.876380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:23:58.876380Z digest=sha256:561699fc7d1c48c4a2c1e5dbbd12ba726c05b8f7d0fbfae9bc2e57c0be28d0e2

Pith citing papers

Observation d55f69c9-5251-47f3-bd5c-058b17863403 · inbound

Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation cites this paper.

Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T15:42:27.753911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:42:27.753911Z digest=sha256:2ae161d2e0d974fa44d5e8caa2c959376177d45df956ef3362dba8fc0d371c12