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Paper Citation Record · LEDGER

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2405.13967.

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

pith.paper-citation-record.v1
2405.13967 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:44.259039Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:35:08.035674Z

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 5d45b20a-0088-4159-adf1-1876ebabf847 · inbound

Can sparse autoencoders be used to decompose and interpret steering vectors? cites this paper.

Can sparse autoencoders be used to decompose and interpret steering vectors? Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T21:26:42.271629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:26:42.271629Z digest=sha256:7e97dfdea906fa5bdc0e00f9ba2937f7f2c65032a2b8b9a3cc50cb12948be57f

Observation 2f932ad5-9c9b-4168-a20e-a0e944adceee · inbound

Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing cites this paper.

Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T13:19:10.612450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:19:10.612450Z digest=sha256:9998bb33ffa4d557e7cef608ade262da2626c6b7a31ac9873fadd0af20cb2ed7

Observation b100e11d-184d-4660-a464-8c7f07abc781 · inbound

Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing cites this paper.

Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:44.259039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:44.259039Z digest=sha256:ccb8d77eb4885050f9f204ef9fbcef827fb38b8871393f02ad754954b75ecd80

Observation baa25229-99c8-470e-8a81-0cd560c40f4a · inbound

Detoxification of Large Language Models through Output-layer Fusion with a Calibration Model cites this paper.

Detoxification of Large Language Models through Output-layer Fusion with a Calibration Model Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:51:49.597443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:51:49.597443Z digest=sha256:ce984ec35cb6ff70720cddc0c33d95391ac10bb03d424e3618038df12af7cde1

Observation 882bd2c2-c2a2-4478-9e93-14dcd4cb9356 · inbound

Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement cites this paper.

Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:57:50.448142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:57:50.448142Z digest=sha256:0cafd08b9c59091fcdc9d50036ad648246c77d41e1a19b2580130ce598094705

Observation 82e07dde-c75d-462a-bc1a-1b9d44e94ebd · inbound

Learning without training: The implicit dynamics of in-context learning cites this paper.

Learning without training: The implicit dynamics of in-context learning Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:31:25.558220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:25.558220Z digest=sha256:98f4dcaf41690b5891caaca425fa60e2cd2ed41a768408b673116e16d3ea3fd5

Observation f2c4c390-f335-4b83-9b97-8c193d951531 · inbound

Class Unlearning via Depth-Aware Removal of Forget-Specific Directions cites this paper.

Class Unlearning via Depth-Aware Removal of Forget-Specific Directions Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:50:20.735588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T11:45:50.690916Z digest=sha256:9adbfef279efb53e2e21f1c46d0a680728cf956f912531652d29f3ffaa87e250

Observation fad41425-cae7-4af9-aa98-4e0944f0c650 · inbound

Class Unlearning via Depth-Aware Removal of Forget-Specific Directions cites this paper.

Class Unlearning via Depth-Aware Removal of Forget-Specific Directions Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:09:16.870634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T00:08:10.700222Z digest=sha256:6c3c10e6081bae268b61048322f38894fa7772842f34555e935ae4cff10239f4

Observation ca7f965a-fa0b-4d7c-8a80-9bb4f7c9a42a · inbound

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation cites this paper.

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 167

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:34:47.786983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T00:33:39.960170Z digest=sha256:2e2c82f74e12021e39fb5e6248a0d2594b04dd9fcfdae4fbfe30c2c2cb579f1d

Observation 770b9817-7413-4ea2-b52f-241d4e885e5d · inbound

High-Dimensional Statistics: Reflections on Progress and Open Problems cites this paper.

High-Dimensional Statistics: Reflections on Progress and Open Problems Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:31:13.790806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T15:35:08.202464Z digest=sha256:0ee551e46f0ddf1200698a6d606948151e22a6bf38d1140e0fc6073871c0f4f5

Observation 5a124579-7d0a-47c8-978c-608d590ab0bf · inbound

High-Dimensional Statistics: Reflections on Progress and Open Problems cites this paper.

High-Dimensional Statistics: Reflections on Progress and Open Problems Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:35:08.037164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T23:25:55.375541Z digest=sha256:7fbb6ebfe5c2b031d97bf0c80e0fe0db62eaa68dcabce14b7ec20db2ec934555