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Paper Citation Record · LEDGER

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.07057.

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

pith.paper-citation-record.v1
2406.07057 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:58:53.881131Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:06:27.612524Z

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 eb5e4073-0962-4aba-875c-79896d9988c6 · inbound

Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models cites this paper.

Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:12:34.813684Z

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=2026-05-23T05:11:40.893864Z digest=sha256:58ec2520bf1c6a97c9a583484483397320511165dd2be26c9a473e39aba2d4bf

Observation a917d808-783f-43e0-ab49-bf4dadb0ea21 · inbound

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models cites this paper.

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T14:58:53.881131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:58:53.881131Z digest=sha256:19b983e00a60055967c32d9be89c011891115e88089641f0b04c6edbbbb6851f

Observation 95b8f778-207f-4040-aef1-d26d9d4d5b5e · 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 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T19:45:18.772040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:45:18.772040Z digest=sha256:f51f7e0affc45b89d8eea201b87966f615a98be873bc4caad490cad2c0fb1f0d

Observation e7377fa6-6833-4e98-b11b-30988793a172 · inbound

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models cites this paper.

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:14.653615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:14.653615Z digest=sha256:d63fb5298ab19a88144cd4fa99217154124d10f952390cb645bd7c42c5e4c042

Observation 02b16ad3-6cfc-4111-8bcc-7a358ee07963 · inbound

Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models cites this paper.

Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:51:32.292682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:32.292682Z digest=sha256:1e2d0dd6d384a9e78c76d2833e4ee9f547f8678cdb59359eafe7789afd66a470

Observation 5a08ab5a-9e96-4119-91cb-b1fa091d1f52 · inbound

VLMs Can Aggregate Scattered Training Patches cites this paper.

VLMs Can Aggregate Scattered Training Patches MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:05.900085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:05.900085Z digest=sha256:8a5f6e40ce3a98a6b8c098781dd75a119be47912b02fb26d41f324d75e2dd8c1

Observation 7fcd9c33-0dbf-400f-818f-a79a11c9d406 · inbound

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs cites this paper.

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:07:15.439464Z

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=2026-05-19T11:03:59.222849Z digest=sha256:0f9bec92df7e03a64ad911933d5707fe074a6a756ab22a458e30b542bfba6057

Observation 725e31c0-b536-4742-97ad-0493024588b4 · inbound

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models cites this paper.

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T18:40:56.640539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:56.640539Z digest=sha256:c958216a566fb8d895465cbb4feddbe275f8e6c2b9a20046f41e10b426a63277

Observation efbc6850-267b-4c73-a241-f80c6236bc48 · inbound

FairReason: Balancing Reasoning and Social Bias in MLLMs cites this paper.

FairReason: Balancing Reasoning and Social Bias in MLLMs MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:04.847931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.847931Z digest=sha256:56aab928363f813ad96c02a9190b91ad3b127aee22f5046cf9b77988750df790

Observation 0f1c7a50-bd7b-4772-9f02-efe45da25824 · inbound

Investigating Adversarial Robustness of Multi-modal Large Language Models cites this paper.

Investigating Adversarial Robustness of Multi-modal Large Language Models MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:06:27.615483Z

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=2026-06-28T11:11:34.152223Z digest=sha256:b5a5302231f8baf3a77265162c2b1322bb8f644c90d753bc5e767bba722587f1

Observation 8018a4cf-8f69-4db1-97b0-c7cd84924f00 · inbound

A Multimodal Automatic Redteaming Evaluation based on Atomic Jailbreak Strategy Decoupling and Combination cites this paper.

A Multimodal Automatic Redteaming Evaluation based on Atomic Jailbreak Strategy Decoupling and Combination MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 158

Resolution
unresolved
no resolver link, observed 2026-08-07T00:14:50.941613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:14:50.941613Z digest=sha256:4235ea70810615cba619730b50ad6a8798c906836ce54da0fe07dd7e05b8b5f7