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Paper Citation Record · LEDGER

Test-Time Backdoor Attacks on Multimodal Large Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:25:10.560269Z

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

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  • 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 537fc145-5850-4e9f-8e22-650750d978a9 · inbound

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers cites this paper.

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T11:25:10.560269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:25:10.560269Z digest=sha256:c128c699862be13a83ad1f642f8dc41c9b9e9c49b59fea7f50133c6cf08c8934

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:9417882dfecd7f1a49793296f3a23ca904f0e9528d03e57bb7d01957e852cbbf

Observation 1b6bcdd3-7ddc-4d98-8c01-9f6f9e7878f2 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:25.419051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.419051Z digest=sha256:f7ff1201d90d31fb5c694edf084585691b05697a5260ec376c543837856e7bdb

Observation 07b735f0-70f8-415f-8953-c1f672108974 · inbound

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities cites this paper.

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities Test-Time Backdoor Attacks on Multimodal Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T11:32:42.862012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:32:42.862012Z digest=sha256:28a07b88b4276ebaf440695ad045bc7aabb057b27ba2aa857919811f2909ff5f

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.

source=pdf_text observed=2026-08-07T19:45:19.277633Z digest=sha256:877b28ac7ebf5dc00daac3dc2ecbe3cc16ca64ea5924bf379e3272926a7c92f5

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.

source=pdf_text observed=2026-08-07T05:45:56.076595Z digest=sha256:eeee7142cbe1ed315d0b61c452650344b4009d47951da7f5c2d3e3083d7d87ba

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.

source=pdf_text observed=2026-08-05T21:22:37.567944Z digest=sha256:2fa9b6bbe19947c89a4f77d9abc65696132993a4459adfcbc1784e28a97137dc

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.

source=pdf_text observed=2026-08-04T22:06:30.759059Z digest=sha256:d0c7696865a4ed3f4767ab09d14c8c4c1b2b14c5ffbc6adb85210171b7ea9520

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.

source=pdf_text observed=2026-08-04T13:52:15.754818Z digest=sha256:b57fe8ee0e873914e7ef3708cfd763fe2a2e2c39404cb8049ab2445532ee4abf

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.

source=pdf_text observed=2026-08-03T20:27:03.844504Z digest=sha256:d9b8a59d80caf62bc4bacf376174ce59500a7f9aeab71b6a8f6092f4d41b17a9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T20:30:29.032353Z digest=sha256:a5835e206707d0031d583a8c5ade63ef460e9aae31a7226169b00ef22ce737ca

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T17:46:01.742050Z digest=sha256:f10f0bb20d688c0af8516930efe9fc14120391c94ea8152fa3a62d7bb5ab6599

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T03:00:34.862711Z digest=sha256:fe327bdef478fdcf789a6f0b2e1c680b8d5e7ec8260388b8cc388a61ac60ee56

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T19:46:49.000647Z digest=sha256:8ba8fd5f73544ea7c2a351a55cb92a41e53381dcb10a1c058adae7a963957061

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T15:10:18.936026Z digest=sha256:5d92bb83b7f3a89530ca216a6e8a5ff245c99158e0d1bd0bbbe0ab12d521a840

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T09:05:09.927020Z digest=sha256:3606028e05d3f42097fe0c267e5eee817d4a366b9ff52ce15672593572c5e876

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T11:48:35.972372Z digest=sha256:8cc98fb5bf1917fbef0ce01354a90075886bd03787535a02601f7eba724c082b