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Paper Citation Record · LEDGER

Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.19334.

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

pith.paper-citation-record.v1
2402.19334 v2

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:13.899297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:46:53.162514Z

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 2e46fb92-cefd-48cc-8bfd-7d876c7b60af · 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 Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:13.899297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:48:13.899297Z digest=sha256:42d3d7bb0a4eef01135bba77a2f430493313d1e137dac18d228662157d7058d5

Observation df864ad3-6e9b-4290-9641-cd37851704f7 · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:53.165598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:2c779d5688d10e4d9185d5e2059e7ffc722bef7bb3bd71c52aafbe86960e4101

Observation a0a5d895-d301-4c74-886d-c40632fdf25c · inbound

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

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T14:42:31.364363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:42:31.364363Z digest=sha256:34ff26ac3da7cf14b090dc80bab5a568c3da87b3ee92e291b94fd244f647c974

Observation e0d717d7-88f8-4cbd-8b7c-c252762607a8 · inbound

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models cites this paper.

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:17:08.145031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:17:08.145031Z digest=sha256:9556dc6af0fe7849390625e9c9845d508ecd7ecb31a62023d5e167760f95edcd

Observation a9c82c3b-7b5a-43f2-903a-e7e5c63e9d87 · inbound

BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models cites this paper.

BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:02:58.917939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:01:10.756844Z digest=sha256:5fcc2865d7a9beea42a9523cc61e1b87ba877a51586dfedeb7dc00171df54b93