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Paper Citation Record · LEDGER

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2606.05170.

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

pith.paper-citation-record.v1
2606.05170 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T20:40:22.043187Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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 fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4911c00-4557-4639-b149-41d5ba070bb7 · outbound

This paper cites Beyond accuracy: Measuring the severity of LLM hallucinations.Findings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings),.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models Beyond accuracy: Measuring the severity of LLM hallucinations.Findings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings),

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:1e44b77f76a63a0732127c477c346210f73346f785940da329dfa9a56d6d77f6

Observation 60fddd3c-71ac-4c75-9e29-a060c8b301ab · outbound

This paper cites Lost in tran- scription, found in distribution shift: Demystifying hallucination in speech foundation models.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models Lost in tran- scription, found in distribution shift: Demystifying hallucination in speech foundation models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:0388b24abdcf216317857e8db5866b895053ef3ce7e75bcd29d7979963458bc3

Observation 2ea54fda-b07b-457e-8118-6a44826b5be9 · outbound

This paper cites MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:eb890e1c66125a831c11a71eaac8d391e7a4a501094b42aa847db7a4d7a279df

Observation a3263dd9-704d-4909-ac4d-52917315e976 · outbound

This paper cites Overview of the ClinIQLink 2025 shared task on medical question-answering.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models Overview of the ClinIQLink 2025 shared task on medical question-answering

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:ac13144ca9993feba39a1dbed0baaee29dadb0927998a625efbd605ea8c20799

Observation 4b3e4af2-0ca1-494b-b2e5-83225a8d7edc · outbound

This paper cites an unresolved cited work.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:3f659a000a139428ea5dfa1022a714f227d250db6b110fe70dacfe47f621886f

Observation 19380e45-05b4-4af7-9b00-c4063181e08a · outbound

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

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models Language Models (Mostly) Know What They Know

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:9b97d7d155098a10c4a77f3a5df5024b0dfb5232bbd7527d25c6a62f2c09c664

Observation 4b37c6ea-ff45-431e-9613-97fc45cb776a · outbound

This paper cites Scaling Laws for Neural Language Models.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models Scaling Laws for Neural Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:98d400281e003eb8d69b018d2015d733eb2530680c3467e8949199edbb1cdc93

Observation ee516dd6-88b7-41bf-80ea-00bb804b0177 · outbound

This paper cites HaluEval: A large- scale hallucination evaluation benchmark for large language models.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models HaluEval: A large- scale hallucination evaluation benchmark for large language models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:0c0fd6c05665aa5076453e38bd31ff1a9f2e22dfd57d62bc113ab4df61759ec1

Observation cd9bb82f-2779-4149-b9bb-b86d719790f6 · outbound

This paper cites Teaching models to express their uncertainty in words.Transactions on Machine Learning Research, 2022a.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models Teaching models to express their uncertainty in words.Transactions on Machine Learning Research, 2022a

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:fdfb0c738322b80dbe7c04784a9c3995a4c30afc2f2cc57fe4fc84f54efce673

Observation 1bc3ecaf-75e3-4dcb-a42f-b1443d67e200 · outbound

This paper cites Towards a Systematic Evaluation of Hallucinations in Large-Vision Language Models.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models Towards a Systematic Evaluation of Hallucinations in Large-Vision Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:447027c04d8cc41ee6fe5e7752836efe000249aabf0f0115d2b4f163938d34ad

Observation 1e92785f-c4af-4572-bda8-1688b7c71bfa · outbound

This paper cites MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:d3f0cde8cfca8c7bdbf526b6ce8a45d9922b57add87f2eef829e7cd8dd49cb04

Observation 73086346-b225-46c2-a7e4-180a95dcdc40 · outbound

This paper cites verbose hedge.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models verbose hedge

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:40:22.043187Z digest=sha256:12dcd985d59c4269b36c014f5afea17dd4955857b04d7952043696979c3158e5

Pith citing papers

No inbound Pith citation observations are available.