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Paper Citation Record · LEDGER

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025

As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 5 inbound Pith citation observations for arXiv:2506.12430.

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

pith.paper-citation-record.v1
2506.12430 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:57:13.807101Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:01:41.521564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T08:16:06.518951Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact3
  • verified fuzzy3
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f54fb324-a2c2-4622-92b2-cd0a9dbbbada · outbound

This paper cites AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:13.689552Z digest=sha256:52fe3fc34457cadaa0f9a327ad090fe1f870900e1c5cc7cde7d0692c10dbd452

Observation a2592e23-781a-4075-8f1d-cf50b905047c · outbound

This paper cites SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models

Reference 5

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source=pdf_text observed=2026-08-07T00:57:13.693926Z digest=sha256:2465676a100ec29e3baba3ce2b874103fdd9162810c6b845d92f1b46845fcc3c

Observation 76826419-df01-434d-9e2f-87d04a9e904a · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 6

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source=pdf_text observed=2026-08-07T00:57:13.676103Z digest=sha256:e6f638619dac53d874425074e21cf1be1aae9d38952036a5edef99cfecd8615c

Observation 05f04817-a770-4ae9-a563-be7b0d121e73 · outbound

This paper cites Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance

Reference 7

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source=pdf_text observed=2026-08-07T00:57:13.702701Z digest=sha256:80c8dbd91d83b3c7bfeab98a14a282695c5e6c26d0046dff473c7b25c69ee0f4

Observation 6c06f9c9-f2db-42b1-9c5b-fb8df3fbfd5f · outbound

This paper cites Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models

Reference 8

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source=pdf_text observed=2026-08-07T00:57:13.707276Z digest=sha256:46c01b0f7c3c4f6a060abf054e4d9e9f55278ab5d75acfe66a59114cf2f44642

Observation 87d8930b-e5f0-4047-b43f-a683871c85f6 · outbound

This paper cites Seeing is Deceiving: Exploitation of Visual Pathways in Multi-Modal Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Seeing is Deceiving: Exploitation of Visual Pathways in Multi-Modal Language Models

Reference 9

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source=pdf_text observed=2026-08-07T00:57:13.711395Z digest=sha256:fcbc1c5269b411c6656a47dca9c627e5dffbce1a28bbf3a58d48c5856317aed4

Observation 047b88bb-3472-48e1-aab5-69bb68dd4043 · outbound

This paper cites Large spin shuttling oscillations enabling high-fidelity single qubit gates.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Large spin shuttling oscillations enabling high-fidelity single qubit gates

Reference 10

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local_arxiv, observed 2026-08-07T00:57:14.270803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:57:13.715523Z digest=sha256:a244c16d880e10236a37454fd095b4af7aa62a2c8ee582194045409f0704335e

Observation 1490e152-a044-48dc-a8c0-e666c07c1b53 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 LLaVA-OneVision: Easy Visual Task Transfer

Reference 11

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source=pdf_text observed=2026-08-07T00:57:13.719507Z digest=sha256:e2f757edbfafc1a79469cc8c3de083525672bb6da5b84a4c742dea593551458b

Observation 0f17fc3f-73ed-49e7-b3d1-6284028ad93b · outbound

This paper cites Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection

Reference 12

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source=pdf_text observed=2026-08-07T00:57:13.723670Z digest=sha256:2b9fea45184871db8b9f431600fc72a3aaabca64058757e24cb00f1174579a2c

Observation 399aa97c-18fe-4305-89cd-308654c59abe · outbound

This paper cites Red pill and blue pill: Controllable website fingerprinting defense via dynamic backdoor learning.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Red pill and blue pill: Controllable website fingerprinting defense via dynamic backdoor learning

Reference 15

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raw_fallback, observed 2026-08-07T00:57:14.209630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:57:13.736094Z digest=sha256:86ec9dc7eb71e476263b4740176d119ff77e4cc484b16eb43cb9c5ae27a8f890

Observation 8e69c3d7-c8e4-4647-9ce5-9575afcc51e9 · outbound

This paper cites LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 16

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source=pdf_text observed=2026-08-07T00:57:13.739840Z digest=sha256:5a189859e4c6daa87cdcaa2c17e5ab47fb9c248d276921ba7274e440c1e1771d

Observation cc1aa81f-8116-40cc-bdf6-76e3bc66671e · outbound

This paper cites Visual Instruction Tuning.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Visual Instruction Tuning

Reference 17

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:57:13.743808Z digest=sha256:f9572d9a698cec6c9216b4d086a989fd946e2157dc04ec1f1fb216f60c031d96

Observation 47713456-a413-4c7d-9934-b4ecac8b5e06 · outbound

This paper cites Training language models to follow instructions with human feedback.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Training language models to follow instructions with human feedback

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:13.751706Z digest=sha256:598c54f1a1e7da3d1edfbb76a688b1908fdc7b9e0440c22e4f70464ae9dc9cf5

Observation 925b90e8-dbdf-43e8-b2ee-94e35ed6c82c · outbound

This paper cites Visual Adversarial Examples Jailbreak Aligned Large Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Visual Adversarial Examples Jailbreak Aligned Large Language Models

Reference 21

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source=pdf_text observed=2026-08-07T00:57:13.759973Z digest=sha256:3dbb2eb8e8816d54c7057268b7188d1c867cd0f03504e8334ea6a71d76788637

Observation afdb5252-2c67-4a4e-afaa-f85f19f35af5 · outbound

This paper cites POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models

Reference 22

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source=pdf_text observed=2026-08-07T00:57:13.763982Z digest=sha256:ef6d2e4fdebf83e4b51e35d020a234ae56f98b298229ade39982eb6f182b81e0

Observation f774a9d4-d82c-4377-99ac-5ce50c7c1e4f · outbound

This paper cites Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models

Reference 23

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:57:13.767811Z digest=sha256:2d31a5a9cdcc98c24bbe1cd38d55541ee65ae5808d7413738537272396fc80f1

Observation c2d64ec6-2de9-4e5a-b235-bc0f4f94626a · outbound

This paper cites Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:13.747840Z digest=sha256:36391ca6debc1339349ff3f0c916c9d210dd60453a4377790ddc5a1b70a2b5b0

Observation a80fabca-9bde-4030-9093-a4157f3c9600 · outbound

This paper cites Safety in Large Reasoning Models: A Survey.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Safety in Large Reasoning Models: A Survey

Reference 25

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source=pdf_text observed=2026-08-07T00:57:13.771631Z digest=sha256:c385130b3f6e2ff5df0a6d56897115dc8a3ba4bd70a39fd32e5bce4e53b2e512

Observation c04dfc90-25fc-4837-98a1-7b20cfc5188b · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 26

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source=pdf_text observed=2026-08-07T00:57:13.779681Z digest=sha256:1f6361aed99e88342f9325329121cd67227d7442d3f26a80ec69cd184d4c3fb6

Observation d87738e8-71f4-41d6-a1ca-80f50c110c1e · outbound

This paper cites Distraction is All You Need for Multimodal Large Language Model Jailbreaking.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Distraction is All You Need for Multimodal Large Language Model Jailbreaking

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:57:13.783535Z digest=sha256:9bcc59c636ea362aa90b550cba056d2b65e20df854b7d86d8592f815513b237e

Observation 3f02041a-4b63-4f7e-904c-fb8306e3faa0 · outbound

This paper cites SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models

Reference 28

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source=pdf_text observed=2026-08-07T00:57:13.787678Z digest=sha256:956cf123e34d7622ea3e7650a9acf30de975e402a1fdb940071e254f7344d6bb

Observation cb7a3ac4-85eb-4c0d-9a8e-37721d4c5e1d · outbound

This paper cites A Survey on Trustworthy LLM Agents: Threats and Countermeasures.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Reference 29

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source=pdf_text observed=2026-08-07T00:57:13.791531Z digest=sha256:df8c3e54f186d7145e14d0b7d76e88bae9f94140b0ed9d161806929dabd10d60

Observation 52a76e6f-afc4-4d0e-84de-11b6b2635d1d · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Multimodal Chain-of-Thought Reasoning in Language Models

Reference 30

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source=pdf_text observed=2026-08-07T00:57:13.795355Z digest=sha256:fbc0cccb74e3d3b6ef428e7fd98308c3550a3c661231524d7d1a9d6c5030efb1

Observation 936bf545-aaa9-464c-9b0b-ae57ea48e7c0 · outbound

This paper cites Zhou, Z., Yu, H., Zhang, X., Xu, R., Huang, F., Wang, K., Liu, Y ., Fang, J., and Li, Y.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Zhou, Z., Yu, H., Zhang, X., Xu, R., Huang, F., Wang, K., Liu, Y ., Fang, J., and Li, Y

Reference 31

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source=pdf_text observed=2026-08-07T00:57:13.799845Z digest=sha256:922f60d36ef9d43d30c99d90b65be61910d4330ba70133871b8dff3c7ae3a13c

Observation fdd7c126-5720-4a37-8806-068fde23779c · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 32

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source=pdf_text observed=2026-08-07T00:57:13.803299Z digest=sha256:22254bd904ca6c54b686b7ed5dc401d16b1280c1248715df44ad839031ff3136

Observation 1a955208-7a70-4d16-bd12-0ca9b74111d7 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 33

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source=pdf_text observed=2026-08-07T00:57:13.807101Z digest=sha256:29f32a677098d297ace6beb59fd2123c5eb2dcedba5335f77db6172968e8556d

Observation c896b4db-e086-417c-99ee-bb679231b378 · outbound

This paper cites GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing

Reference 2018

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source=pdf_text observed=2026-08-07T00:57:13.775636Z digest=sha256:52c7121ded9daea6b5f42aa0034ee818e5ff6c118d74c5235e681930a74b9887

Observation 13b6f4bb-5afc-4a5f-b0a8-a65c255310e3 · outbound

This paper cites Generate more impercepti- ble adversarial examples for object detection.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Generate more impercepti- ble adversarial examples for object detection

Reference 2020

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:14.416041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:57:13.728012Z digest=sha256:cb48d301abb5042b0c92b589955916f15e7d9805f28df4ff88545ff52b3d1b0b

Observation 218de7a9-17bd-4f9f-87a0-8b5f770bdce1 · outbound

This paper cites Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection

Reference 2021

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source=pdf_text observed=2026-08-07T00:57:13.731835Z digest=sha256:3eb329ba1c176bc765ade0fdcabda8008d5bcfd9820e54d65a2ae36c9fcf68fb

Observation 2196c723-a62e-4edc-b08a-5aea255af0fd · outbound

This paper cites Leveraging multimodal llm for inspirational user interface search.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Leveraging multimodal llm for inspirational user interface search

Reference 2022

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raw_fallback, observed 2026-08-07T00:57:14.402863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:57:13.756027Z digest=sha256:3aa8c29f086e1ca72c7652737f977de2cdd28cb90e176e093246322d383703bf

Observation e1fea86c-5706-42b9-ba5c-46f1286240d8 · outbound

This paper cites Unbridled icarus: A survey of the potential perils of image inputs in multimodal large language model security.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Unbridled icarus: A survey of the potential perils of image inputs in multimodal large language model security

Reference 2023

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raw_fallback, observed 2026-08-07T00:57:14.429797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:57:13.685345Z digest=sha256:5cfd2b5319d07cc99aa9e40c3f51df856e1885d02b00ae4f72ce506ed711456a

Observation 77dcf9e1-d1f8-4a47-be3f-9f06bc13eea7 · outbound

This paper cites Multilingual Jailbreak Challenges in Large Language Models.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Multilingual Jailbreak Challenges in Large Language Models

Reference 2024

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source=pdf_text observed=2026-08-07T00:57:13.680823Z digest=sha256:cfbefd1d947393f875a9b4a7775326366f58f6e62688a6f2e2ae75b80317b258

Observation c11a93f9-8b02-4731-ac6c-08d5e1f7a551 · outbound

This paper cites PRJ: Perception-Retrieval-Judgement for Generated Images.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 PRJ: Perception-Retrieval-Judgement for Generated Images

Reference 2025

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local_arxiv, observed 2026-08-07T00:57:14.333337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:57:13.698449Z digest=sha256:d7548ebfcabf25e2fa87ccae29ebc1ada6ed136b594992c351106bcd40fe0ac4

Pith citing papers

Observation d959c428-ffb2-4b39-a8e2-ed0d461d1b1f · inbound

Evidence Recomposition and Predictive Context Residualization for Visual Attribution in Multimodal Large Language Models cites this paper.

Evidence Recomposition and Predictive Context Residualization for Visual Attribution in Multimodal Large Language Models Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025

Reference 34

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source=arxiv_source observed=2026-08-04T14:58:40.973955Z digest=sha256:1de3eb6fd9a9ad6618b11a9a649947b6b8a1a7b2363b943667422050368ca4e6

Observation 5db08660-b4bb-4fc9-ac48-6ec409bfe460 · inbound

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents cites this paper.

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025

Reference 58

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arxiv_id, observed 2026-05-18T08:16:06.521830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T08:14:51.102085Z digest=sha256:454a4768ae3756c339f76c3a94976cd0a0d08fad6b662f1653f4fec855dbc11d

Observation b3ab311e-9aff-4b77-873c-ea444aa4f29d · inbound

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models cites this paper.

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:05:49.310638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T20:14:02.553313Z digest=sha256:8b78fbceaeb9dd59420ad65b30215980562a2fa14d63bdfbc2b20449395add8f

Observation b46e91eb-d5d8-4892-a19e-6cdca8a2adfd · inbound

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems cites this paper.

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025

Reference 96

Resolution
unresolved
no resolver link, observed 2026-07-30T19:40:15.494000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T19:40:15.494000Z digest=sha256:fe9372c01ff60599b537378b96462020b5b8240f4407aa8649bdb8638d06eb89

Observation f9a84e0f-5891-4928-8125-6b618b3d553f · inbound

SafeCA: Safe Cross-Attention Localization and Regulation for Text-to-Video Jailbreak Defense cites this paper.

SafeCA: Safe Cross-Attention Localization and Regulation for Text-to-Video Jailbreak Defense Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T14:01:41.521564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:01:41.521564Z digest=sha256:05051cd0c2ad3338f828978ee64dab0fa03377dbf466463093772f37d320e2cf