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Paper Citation Record · LEDGER

Dissecting Adversarial Robustness of Multimodal LM Agents

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2406.12814.

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

pith.paper-citation-record.v1
2406.12814 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:06:58.339855Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:10:08.744897Z

Reference resolution

0 of 0 outbound references displayed

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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 b8dbeb6e-cbc1-4864-97ce-2a9f5602ec25 · inbound

Adversarial Hubness in Multi-Modal Retrieval cites this paper.

Adversarial Hubness in Multi-Modal Retrieval Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 80

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verified exact
arxiv_id, observed 2026-05-23T06:42:39.719311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T06:39:36.039613Z digest=sha256:33a85d0cab9ae4829af556708edafcd102bf3ebd432b762fb725af9f81c0f34c

Observation 6a90feb9-8f8c-46df-9d07-11fed6300970 · inbound

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents cites this paper.

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 27

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no resolver link, observed 2026-08-08T20:06:58.339855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:06:58.339855Z digest=sha256:c19407bff69f50b9da7b7d968791a99d46aca6e5724a4792481d140a6efa453c

Observation 689c8c67-45ec-4237-af03-327fe82e8ec4 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 179

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arxiv_id, observed 2026-05-22T21:52:10.630199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:9964f6a3e8288fd454da895dc2aa646d1e84c8bafbcb3868ec3da44635a79124

Observation d82ac1d1-7e89-4d3d-98e7-8fdd42d13fa1 · 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 Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 42

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no resolver link, observed 2026-08-07T15:04:00.833689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:00.833689Z digest=sha256:b4163ce899aade086875a991e6337fe4888722aafd2c877f7378c7239069e9e6

Observation fa21ad3d-c8e7-40f9-ab5c-b12894695053 · inbound

RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents cites this paper.

RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 48

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unresolved
no resolver link, observed 2026-08-07T12:06:27.049458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:27.049458Z digest=sha256:e324d237e188e7bc654ec7d4e8f79cc7ee39daa9738250ddea734d5b78bc3dab

Observation 98b16650-4cd2-4544-817b-1fc5a857bd5b · inbound

Adversarial Attacks on Robotic Vision Language Action Models cites this paper.

Adversarial Attacks on Robotic Vision Language Action Models Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 73

Resolution
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no resolver link, observed 2026-08-07T11:11:40.509846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.509846Z digest=sha256:5ac47156013457d9ee61f7d2628db087de97f03527efcb6c409ca2c5f0e192ad

Observation ae5ad172-0a59-4604-b2fd-f62ea0cd1d83 · inbound

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems cites this paper.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 18

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no resolver link, observed 2026-08-07T05:36:34.161342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:34.161342Z digest=sha256:c882e32a0c0fc04e564012ba862d65d659751f71fe04075043faa8764b337611

Observation 8d6ba60c-0766-45ab-b2ca-771efd58fc12 · inbound

Context manipulation attacks : Web agents are susceptible to corrupted memory cites this paper.

Context manipulation attacks : Web agents are susceptible to corrupted memory Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 22

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no resolver link, observed 2026-08-06T23:59:58.834733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:58.834733Z digest=sha256:44b66a41a12cbf47961ea70ccb5872272bd6a6a6566c64018c4ae6c4f6a83bda

Observation 737e810b-8e18-4e26-9623-dae33871944a · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 159

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no resolver link, observed 2026-08-06T21:34:45.215087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:45.215087Z digest=sha256:3b48892a0463cd4850e295293b3c620fc75d76516bf7a867204deed17779c0ab

Observation 566efa2c-d778-4f1f-acee-fc8d8a02d244 · inbound

Mobile GUI Agents under Real-world Threats: Are We There Yet? cites this paper.

Mobile GUI Agents under Real-world Threats: Are We There Yet? Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 29

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arxiv_id, observed 2026-05-19T07:02:07.950558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T06:57:25.257775Z digest=sha256:d4edccd85d17275078cd8a976c6b193a770cc225f72c3c60e783d331ce7816ad

Observation f1e9cc5d-c2d2-4566-b773-b5481b9c4de5 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 231

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no resolver link, observed 2026-08-06T13:05:40.408089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:05:40.408089Z digest=sha256:0d9c11efe465ef1a50b4b15abf01171c649a8b94e577b1661999241531856c7c

Observation b75b21fd-8389-42fd-906e-28d015261e01 · inbound

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding cites this paper.

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T11:54:42.996988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:54:42.996988Z digest=sha256:3ba0b02d301d41bd1f62fb89dcd69e948bfc005f1cd7420c5ad1dfc1dfb414b4

Observation 28cbc1a3-928e-47b7-bc07-04b11f62ca86 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:42:22.166261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:3858d568733ee7540dfd9afe40325cfcc1f870acfb9ec9c05cc13fe9fbe76ea6

Observation 848eac8b-7613-413b-bd90-4e51f175d1f7 · inbound

Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels cites this paper.

Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 75

Resolution
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no resolver link, observed 2026-08-04T07:06:38.127507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:06:38.127507Z digest=sha256:9a9b6d1d9d8fac2ab4bc65f6cd14646452a6a146f6558505f21b9f32addf6e23

Observation 6243da35-4ead-415e-9858-79ac81b9738d · inbound

Visual Inception: Compromising Long-term Planning in Agentic Recommenders via Multimodal Memory Poisoning cites this paper.

Visual Inception: Compromising Long-term Planning in Agentic Recommenders via Multimodal Memory Poisoning Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 9

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malformed identifier
arxiv_id, observed 2026-05-10T06:31:30.390640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T06:30:53.536024Z digest=sha256:343ac38d4bfb82a71eea3a6aae1a083fb3147813d5a60079da6e367119de971b

Observation 705ddb26-b19e-468f-aa06-f8e4d79071df · inbound

How Adversarial Environments Mislead Agentic AI? cites this paper.

How Adversarial Environments Mislead Agentic AI? Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 30

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arxiv_id, observed 2026-05-11T12:11:07.686453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T04:04:41.152756Z digest=sha256:26f9091d52f5461884173536467cc46e0b7aa26ed93edb06fc2af2db36484de5

Observation f212e6c5-eeec-4b5c-a2ad-89f372a980b7 · inbound

Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing cites this paper.

Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 35

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arxiv_id, observed 2026-05-10T00:39:48.122964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T00:39:43.196010Z digest=sha256:2ae19f3760faf236f689db68bfe5880655238c87101a7dde066e8e1942656b22

Observation dddd5a0c-14f5-4248-9b48-4efb575da680 · inbound

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 62

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verified exact
arxiv_id, observed 2026-05-11T20:51:09.667835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T07:53:13.746141Z digest=sha256:803980fb4ea4ed38a9da406291a0fc95f7ddd56010300febf9fc50547c0786ca

Observation 37cd3745-84d6-4195-b60d-ed3087cf57bf · inbound

SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents cites this paper.

SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 47

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verified exact
arxiv_id, observed 2026-05-12T00:06:17.749986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T15:48:28.869796Z digest=sha256:bd91951fe61bfbf2e87642421d69005ebc97a9ec255b8e9cb04d6def90cc58b6

Observation 340e67cf-c3a1-4204-b6e6-b70c2c43562b · inbound

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning cites this paper.

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 37

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arxiv_id, observed 2026-05-14T20:19:27.985337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T20:16:30.070819Z digest=sha256:a1677f42f9adee4362babf3603cff82d7fe63342892f387c304cad574d998d96

Observation 7dd0d4d6-204e-4545-94d4-73d5469467b5 · inbound

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections cites this paper.

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 68

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verified exact
arxiv_id, observed 2026-07-01T14:45:49.493714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T20:16:13.413064Z digest=sha256:5dfc035d5377204684472e4bb82188e5bd141a4f97175ba153ab1c93e8df9fac

Observation 272ef0ff-a8bd-4a69-ba00-7ffa2993054e · inbound

ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use cites this paper.

ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 14

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arxiv_id, observed 2026-07-01T19:16:00.205129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T23:03:36.851403Z digest=sha256:64b853ea10c6ca05911fcd4f150037b34327f5a27a18a3107fa1bf1b9fe63eeb

Observation dad46d25-dd2b-4e11-9060-3a1f88fdcfe2 · inbound

Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models cites this paper.

Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 19

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verified exact
arxiv_id, observed 2026-06-28T19:22:34.397716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T19:19:17.673497Z digest=sha256:58b2a1de458c290c30972784e238f8a66a80c7b833f8a74c7f9be86b7b66542e

Observation 0d03980d-0c1c-47f1-88c1-1f7bcfc76418 · inbound

HLL: Can Agents Cross Humanity's Last Line of Verification? cites this paper.

HLL: Can Agents Cross Humanity's Last Line of Verification? Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 49

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arxiv_id, observed 2026-07-01T22:56:19.621656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T14:57:57.218669Z digest=sha256:2a4e0575e6e2d6f0f4873c9a2fecfedd6625bc0c336e81b9731c2d6e1311d728

Observation 96bad086-12c2-42ba-b5ae-69be35cb8f96 · inbound

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents cites this paper.

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 40

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arxiv_id, observed 2026-07-03T15:48:35.844469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T06:20:04.789341Z digest=sha256:9fa52da08bf10940b9007dd0826e9c031a5c2856a2f0177a4d531b35a4c59829

Observation ed479c4f-0621-40d8-9c54-cae7114d4241 · inbound

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience cites this paper.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 33

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metadata mismatch
arxiv_id, observed 2026-07-04T03:59:34.298535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:690e37ff42cf0b14844268d45d3a7a6ca006b7f5415b3b2120aa2e8a985c33d1

Observation c9a8685d-6e46-4621-b52c-b19cee6bb60f · inbound

GUI agent: Guided Exploration of User-Sensitive Screens cites this paper.

GUI agent: Guided Exploration of User-Sensitive Screens Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 18

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verified exact
arxiv_id, observed 2026-07-04T20:10:08.746298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T20:34:05.239277Z digest=sha256:8de608a232a8450a35e65f5a3a72ec951dcfa67f04b214fbb541387022f43706

Observation 3c00394e-4990-4059-8962-c5311c9b00e8 · inbound

Agent Security Needs Redefinition through a Holistic Framework cites this paper.

Agent Security Needs Redefinition through a Holistic Framework Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 284

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no resolver link, observed 2026-08-01T06:04:46.679818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:04:46.679818Z digest=sha256:ed255db2af93f0e05eaf96ffe171844e153875020b838a39cc8af952116e0587