Paper Citation Record · LEDGER

Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2406.18844.

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

pith.paper-citation-record.v1
2406.18844 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:45:19.848875Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:17.857027Z

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 e98241a9-ae05-4ef6-813d-ab660bd90d11 · 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 Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 295

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.930609Z

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 c4beee14-534b-4782-86c2-fa82b65edf46 · 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 Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-07T19:45:19.848875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f83c2e-78df-41c0-ba74-c7b9988f8f20 · inbound

Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers cites this paper.

Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:11.420034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 615a5c13-2769-45a7-90b7-6efda48fc19f · inbound

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization cites this paper.

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:59.401319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902b8e0c-a290-4486-bdda-ed953b77ee00 · inbound

Backdoor Cleaning without External Guidance in MLLM Fine-tuning cites this paper.

Backdoor Cleaning without External Guidance in MLLM Fine-tuning Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:52.349818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcd96ad3-c25e-4a25-aa05-89d835ff21d4 · inbound

AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery cites this paper.

AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:46.499083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b3f355-f8f6-46e0-97db-9470e5b3e604 · inbound

Robust Anti-Backdoor Instruction Tuning in LVLMs cites this paper.

Robust Anti-Backdoor Instruction Tuning in LVLMs Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:07:37.411521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f46186f-673f-48bb-a3cf-67794586aeb1 · inbound

Poison Once, Control Anywhere: Clean-Text Visual Backdoors in VLM-based Mobile Agents cites this paper.

Poison Once, Control Anywhere: Clean-Text Visual Backdoors in VLM-based Mobile Agents Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:17.724760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a464c6-72c3-4787-a361-7b7c52369bc6 · inbound

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

Multimodal Fine-grained Reasoning for Post Quality Evaluation Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:37.820899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb605fe9-7a89-46f3-afe7-111c1e163973 · 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 Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:14.434954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f40de095-85d5-4756-b348-0912ab5e2d5e · inbound

TCAP: Tri-Component Attention Profiling for Unsupervised Backdoor Detection in MLLM Fine-Tuning cites this paper.

TCAP: Tri-Component Attention Profiling for Unsupervised Backdoor Detection in MLLM Fine-Tuning Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:35:28.738550Z

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 c9add1b6-4b2b-4d13-b687-df10a64ff2d5 · 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 Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:17.858339Z

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.