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Paper Citation Record · LEDGER

PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.14908.

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

pith.paper-citation-record.v1
2305.14908 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:55:58.676034Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:57:47.271098Z

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 1eaa413c-3fe8-4994-a625-4c41ad60bdc1 · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:21:00.878947Z

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=2026-05-16T15:21:00.778049Z digest=sha256:b8868912cd01dcbf7f1044596c598bec056d002849192c8f633fadfe4a5b45ba

Observation cd00834a-17b7-4998-add7-48f28bd35ef8 · inbound

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:08:25.821452Z

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=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:7f74f5cfdfc333f4d84337741980c9b10f899a7f5b286f701cb8cd0960258f3e

Observation 85de13d3-90d1-4208-9410-d051c2d62d76 · inbound

MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination cites this paper.

MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:58.676034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:58.676034Z digest=sha256:b509279931f7f3b0782046e3390453c4440c7ea507df4593f307a1dfa2be3340

Observation 9936ad26-efaf-40f8-a481-5711ba83e378 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:28.017454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:28.017454Z digest=sha256:4b1fc3832ebc9c633750118278377a2896d6e9701afe322a0d61f3ad8491c3ff

Observation 395ace0d-3850-49cc-b4fe-9aa6e9cdf958 · inbound

Mitigating Package Hallucinations in Large Language Models via Model Editing cites this paper.

Mitigating Package Hallucinations in Large Language Models via Model Editing PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:57:47.273131Z

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=pdf_text observed=2026-07-03T08:53:18.267764Z digest=sha256:28154ab239d338130db3281fd09e45928318fcdf1de37e448037ccb8efce8da6