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Paper Citation Record · LEDGER

Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.16257.

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

pith.paper-citation-record.v1
2403.16257 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:51:07.992170Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T15:47:23.338689Z

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 8fda8238-d536-42bc-b5bf-e3ddeb2b3706 · inbound

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks cites this paper.

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:05:09.568138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:05:09.568138Z digest=sha256:03830accc3e8f8d8961cc76c445101622b9ef60230399c4df7a5ea91478c88e0

Observation 0ae200b8-ddb7-4592-977f-2024b98ac22b · inbound

Multimodal Fine-grained Reasoning for Post Quality Evaluation cites this paper.

Multimodal Fine-grained Reasoning for Post Quality Evaluation Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:37.797996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:37.797996Z digest=sha256:a23d9cf013093a661af10894e936ef4d786658b3e791f9727103749cc6272460

Observation e3b4257a-9875-473d-b94c-ac0ab821f525 · inbound

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models cites this paper.

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:05:49.179268Z

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=2026-05-10T20:14:02.553313Z digest=sha256:071dbd36db9f397054decbf62312dda87ea292276dfa98b15008c544485bef99

Observation cfe074d8-71e5-4789-88a8-80d4353f6d37 · inbound

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers cites this paper.

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:55:49.691406Z

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=2026-05-10T20:30:29.032353Z digest=sha256:ce33950fd79c4b62b0a8718b75b99bf4e7369b93e7602d51cc99f927a6694cb6

Observation 4ada8245-9d65-47d1-8bf1-46e98bd048b7 · inbound

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting cites this paper.

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.619644Z

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=arxiv_source observed=2026-05-22T05:29:52.758898Z digest=sha256:e1064d7d1d26bb5a3c4908e481820b223a2bec3784ff2b625e7babd13a21a2e5

Observation f9eb7b04-1aea-44b9-af52-083c0c7b215d · inbound

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective cites this paper.

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning

Reference 117

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T00:25:48.564304Z

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=2026-07-09T00:16:03.334057Z digest=sha256:937156bc7b781ef8c5beab1296cba28b174b708b439e45022e8450db71761089

Observation 27827e7f-0656-4015-8c64-5de94caa14cf · inbound

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-07-10T15:47:23.339833Z

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=arxiv_source observed=2026-07-10T15:38:58.361411Z digest=sha256:89620ded1535d928de9934a00fae85fad8571971435a435deac307d9ff7f535b

Observation 29ae0328-c6c5-4e4b-b666-c71dca2ece27 · inbound

When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive Learning cites this paper.

When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive Learning Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T00:51:07.992170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:51:07.992170Z digest=sha256:a1ce796ed08e7684c6ee020453a6d33417f300e4dc7bebacb6b9ce8c42886054