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Paper Citation Record · LEDGER

CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.12257.

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

pith.paper-citation-record.v1
2406.12257 v3

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 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:31:54.289253Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:32:12.907900Z

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 11159c6e-aefe-4eb8-a3e3-d01867c06591 · inbound

Neutralizing Backdoors through Information Conflicts for Large Language Models cites this paper.

Neutralizing Backdoors through Information Conflicts for Large Language Models CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T11:25:31.825411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:25:31.825411Z digest=sha256:e4ad2c5f1f1fa7e4c8400d2b2ad5b78222f127a3edc2b434433a55b87c7d908a

Observation 390881ca-a5c1-4688-89ed-3a7b41887d4d · inbound

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining cites this paper.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:37.329637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:32:37.329637Z digest=sha256:0a13b696d310a9d10de22dc305476bf244abbd5903f9e2cc709b33aa0ed69d4d

Observation 2577015f-02ee-4115-aad6-fa4afdcbdfe1 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 218

Resolution
unresolved
no resolver link, observed 2026-08-09T00:50:00.853736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.853736Z digest=sha256:78b7f4377f125f331a23ed8e4813f1db20c748f155641838bee4ba6da9ae8f28

Observation 266b1bb3-74e1-488c-9e0b-dfbe5dfd921f · inbound

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics cites this paper.

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:32:12.910690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T22:27:18.533162Z digest=sha256:8a13598c4b029ebc5521f213c7575e4078577925a8cf13c7514896d36683334d

Observation 73b1999d-f8c3-44f4-9aa8-87fb2d79eb1a · inbound

Defending against Backdoor Attacks via Module Switching cites this paper.

Defending against Backdoor Attacks via Module Switching CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-22T20:32:04.772025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T20:28:24.169272Z digest=sha256:3ca0bb759744c390c22844b80da6cd0f58aad7a37219513e4e79486ad3c00be1

Observation 912b481f-c6ec-4061-95b4-ef63f4ff0f8c · inbound

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models cites this paper.

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:15.362800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:48:15.362800Z digest=sha256:3a0a1e52da9eb86656aaf7199899a867a4a4455eb28a490fa6e93b344ef0268c

Observation 8f9b3e9a-8cb6-4bdc-8034-2abac6b6509b · inbound

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models cites this paper.

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:17.174926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:17.174926Z digest=sha256:c6b8e91797d3c1eecba938801716acab0deee9ed8f05642f5922d25456cced51

Observation be226244-dc06-4b8a-b5cf-3aeff5266b55 · inbound

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models cites this paper.

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T19:31:54.289253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:31:54.289253Z digest=sha256:24056083a37a60d792b0a5bf3e9fdd156f12f5549941a1fecd4083a662e4dce7

Observation 30611199-24f0-4dce-9dfc-61273073409f · inbound

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution cites this paper.

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T14:42:31.444672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:42:31.444672Z digest=sha256:b9330f759db6ee623bcbe653a77784b4dcc1ed5804462ade41200218f0e194cb