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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:15.362800Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T22:27:18.533162Z digest=sha256:3bbe9614684472551f06c0ec20a17bcf4e6b031cbbcb104dec26bc9a107f7ecc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T20:28:24.169272Z digest=sha256:a2e661d71b6bf6918ae869b020513dba55e28d9ff20c5d1ad0a1b5ece9c91056

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:a5e0e7d91c917896592545d73db74a2efb32663f40a0ef4bc21fcafd5ac856a7

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=sha256:2105a0a7513a027c4fff8cbc4e74124483cf91907fcb77f5aa70830e3152903f

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:f0cbbb7a04b3712c60631f57680cf326651b8e43f0574c36d3312029344d7744