Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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=sha256:53062911b4a57497c32c984f61bc6aa50e01be3f88ea3dae651e7dfbcd9a3da1

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:b12b0e357514f9f3766cf1817617b0930d928cacc4456d64ecffd5cf194410ee

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T20:14:02.553313Z digest=sha256:ff5c3b4ce4d3a78698f488d7a5546000ab46ca9ec89b8f139d33dd7963f96098

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T20:30:29.032353Z digest=sha256:eba386dce5571e8293874b23f49f079db6e2a1ac3f27825388cded3cc03d1935

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-22T05:29:52.758898Z digest=sha256:cbaa518355f41344f251e31f5261328e1d4b3bdfbec0ceb4c824ee8930c17bb5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T00:16:03.334057Z digest=sha256:2a14881062258bd0ca504176f412b45381d671da620d9303d357ddaee39b281f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T15:38:58.361411Z digest=sha256:cf6e5191512f96188c5ff44f76081001ef66bd32f68182d09b916bb8e21f08cf

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=sha256:62216fe8ba30ff8b2f9a294e511769e9c8fd5a9407992427207de81477b889af