Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:56:02.965273Z

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-16T15:21:00.778049Z digest=sha256:075507c55e43a802613b00c758efa74a47bfbb071e3b9468ff3c22bef56896da

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:f28c0ecd1c42438d5165c226263b8ff3b22a59c6a309140817a7e1c2a8524e22

Observation e0ffba7b-8092-4249-a0a4-d643c82e9d52 · inbound

Correctness is not Faithfulness in RAG Attributions cites this paper.

Correctness is not Faithfulness in RAG Attributions PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T05:11:44.275002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:11:44.275002Z digest=sha256:fdd34aaab21d96cdc20d327cdbcc2aec9e671d1f7c11d17f6a1ddd2fbbb8311d

Observation d8aae37b-3c4f-42e8-9bfa-dace2b09924d · inbound

Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics cites this paper.

Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T14:53:43.686275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:53:43.686275Z digest=sha256:61ce18dce4b5db2953556e42ead67da91565574694ac005443450866c9412849

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=sha256:7b6264986b7cf11562e1812d01d9cccd83bf512ac8aeb43819febcf6b4cc16b0

Observation 5dfb7858-7c84-4de2-a310-f7789275bd6b · inbound

GenerationPrograms: Fine-grained Attribution with Executable Programs cites this paper.

GenerationPrograms: Fine-grained Attribution with Executable Programs PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T19:56:02.965273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:02.965273Z digest=sha256:b52ba7fb4ce371dd3e6fb1beb3b655d8dd5f9028b59f6235d02ee63fefe5fe7c

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:ade2063ca609b10988e0f5dc75dddfd72d5dba66d820bc13e0bd13e17e7237be

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T08:53:18.267764Z digest=sha256:a0c9592e7bd6407793a42dddd0aff95154d3d3e49c22cbb41149fb0de362f1e4

Observation e6e2e44c-0acb-4ba0-ad05-64cf3b762fb4 · inbound

When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Personalized Agent Responses cites this paper.

When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Personalized Agent Responses PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T15:11:00.215323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:11:00.215323Z digest=sha256:f00d0f2f69b3a8c1bf916d31839950f2d8a9e5b81bd5cda72424fef6aaf14471