Paper Citation Record · LEDGER

Test-Time Backdoor Attacks on Multimodal Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.08577.

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

pith.paper-citation-record.v1
2402.08577 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:45:19.277633Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T12:08:07.338748Z

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 32020907-06e3-4339-9109-0f08cc7f5016 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 296

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:34.010130Z

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.

Observation aac4aecb-fb4b-424e-92bb-8e7ed2470028 · inbound

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations cites this paper.

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T19:45:19.277633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88009e1d-8e5f-48af-b396-c6847873649b · inbound

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation cites this paper.

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:56.076595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c830edc-37ac-4f4c-8ea0-60eb5495fc5e · inbound

Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models cites this paper.

Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T21:22:37.567944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae53a06-553d-41e2-8406-81334b9ae269 · inbound

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey cites this paper.

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T22:06:30.759059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33056750-e783-4f60-bf84-9113e1beb982 · inbound

TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models cites this paper.

TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:15.754818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b772790-200c-4a53-a3ca-7fbc3df925e5 · inbound

Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation cites this paper.

Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:03.844504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f4e0e43-bba1-4d41-bed1-43d54aacd5c3 · 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 Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T21:55:49.788573Z

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.

Observation b6c0ee34-e4a8-46bc-8fc7-890a5c01dc28 · inbound

Phantasia: Context-Adaptive Backdoors in Vision Language Models cites this paper.

Phantasia: Context-Adaptive Backdoors in Vision Language Models Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:11:01.076713Z

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.

Observation f3ff86c0-93db-4783-bc01-f70962d54ec6 · inbound

ProjLens: Unveiling the Role of Projectors in Multimodal Model Safety cites this paper.

ProjLens: Unveiling the Role of Projectors in Multimodal Model Safety Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 162

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:46:06.205915Z

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.

Observation cb924097-8527-4a52-b542-3c144e7fdf94 · inbound

EntropyScan: Towards Model-level Backdoor Detection in LVLMs via Visual Attention Entropy cites this paper.

EntropyScan: Towards Model-level Backdoor Detection in LVLMs via Visual Attention Entropy Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T19:48:57.440187Z

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.

Observation d4cd583d-c60a-42bd-8754-1851a7f5f672 · inbound

BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks cites this paper.

BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:17.848260Z

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.

Observation 4e3cb434-0abc-46bf-b52c-6ae156014f6f · inbound

Beyond Attack Success Rate: Examining Trigger Leakage in Vision-Language Agentic Systems cites this paper.

Beyond Attack Success Rate: Examining Trigger Leakage in Vision-Language Agentic Systems Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T12:08:07.340504Z

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.

Observation c0bef60e-2812-4866-a670-8abeaf75327b · inbound

ReShift: Aha-Moment-Driven Reasoning-Level Backdoor Attacks on Vision-Language Models cites this paper.

ReShift: Aha-Moment-Driven Reasoning-Level Backdoor Attacks on Vision-Language Models Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:56:55.007383Z

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.