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Paper Citation Record · LEDGER

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 3 inbound Pith citation observations for arXiv:2505.17654.

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

pith.paper-citation-record.v1
2505.17654 v4

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:06.370008Z

measured 51 of 51 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T05:16:19.502837Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T16:59:58.563568Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact5
  • verified fuzzy7
  • unresolved35
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f34cb6b-6fbd-4b10-82ff-9386dda7cf54 · outbound

This paper cites Qwen3.https://qwenlm.github.io/blog/qwen3//, 2025.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Qwen3.https://qwenlm.github.io/blog/qwen3//, 2025

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:09.377220Z

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.

source=pdf_text observed=2026-08-07T14:46:01.897597Z digest=sha256:8d5ab5cb17b4f37f962f02570392b00f069758bc54474085402714bb6e1d30a9

Observation 17b57049-9748-4d73-bcc3-2ad49948c84c · outbound

This paper cites Qwen-vl-max.https://huggingface.co/spaces/Qwen/Qwen-VL-Max/, 2025.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Qwen-vl-max.https://huggingface.co/spaces/Qwen/Qwen-VL-Max/, 2025

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:09.223804Z

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.

source=pdf_text observed=2026-08-07T14:46:01.978857Z digest=sha256:113f44b0293c62c0ef33b98eb6ff889597a8dfeab37d30b924ec849771610f46

Observation 4e439d02-c9de-4e04-94b4-36cc4abed082 · outbound

This paper cites Altakrori, T.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Altakrori, T

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:02.089936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:02.089936Z digest=sha256:3d59b63f65720d6d53633c38989d24303c8a8497fd61e04f0c0b80fc8a16f300

Observation d4286421-6880-487b-8771-11b446193a36 · outbound

This paper cites Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:46:07.624417Z

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.

source=pdf_text observed=2026-08-07T14:46:02.191601Z digest=sha256:0d8f3e1e5b29e89000ea0c00bd249e3cb23ca227576a90a60515c70073c9e518

Observation e0ae0239-f313-49e3-b369-5000f4f9d6fc · outbound

This paper cites an unresolved cited work.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:46:09.096873Z

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.

source=pdf_text observed=2026-08-07T14:46:02.242470Z digest=sha256:5d1bc19c6c5a6093533e61de2bc906abe265ebf8394d1524182bade97abde6a2

Observation ecae6cde-7905-464f-9a83-d276b6ee3cf3 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Hallucination of Multimodal Large Language Models: A Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:02.357756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:02.357756Z digest=sha256:2c011d66a5237cc6f434c9014daf55892aeaff349b7b8e58c2538b42ea04d000

Observation a4ba363a-5032-4daa-a114-44dd7d18c80d · outbound

This paper cites LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:02.442537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:02.442537Z digest=sha256:c5997fe8a6a8d2521524f34a5d00f5db4b946f9107c8692e571fb4e76edc345b

Observation d69348a4-d9a1-45b8-82cb-2906342bab51 · outbound

This paper cites an unresolved cited work.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:02.494629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:02.494629Z digest=sha256:c517c83a8edb1fa6367a06df4d3356cf47aae7181c8d2799359ddc6bd8e74d54

Observation 6ab9268b-7b5d-4a80-8bf0-c56f68af70ae · outbound

This paper cites Claude 3.7 sonnet.https://www.anthropic.com/claude/sonnet, 2025.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Claude 3.7 sonnet.https://www.anthropic.com/claude/sonnet, 2025

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:08.966698Z

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.

source=pdf_text observed=2026-08-07T14:46:02.602371Z digest=sha256:02f9f24d0b595a56db20805184ce9f4123db1fdb0da1050b7dec31eba26153df

Observation b5484467-ef87-4cff-a1c1-9654c6a03f32 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:02.642070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:02.642070Z digest=sha256:29d09bd0f3129766848c49d44bdccd42e8706b69f7fa796ea4daa58e3b0d3f68

Observation 28e7b17e-bc30-498d-8d77-fbf38c33fd5c · outbound

This paper cites DeepSeek-V3 Technical Report.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection DeepSeek-V3 Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:02.740056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:02.740056Z digest=sha256:dc4be0754651c4e6c5e5e4d4cd473f6c03aceab1ecdf13ed85f6412535c662b8

Observation 982747fa-8469-4e84-af12-fbcdf2575de6 · outbound

This paper cites Gholamian, G.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Gholamian, G

Reference 12

Resolution
verified exact
doi, observed 2026-08-07T14:46:08.831944Z

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.

source=pdf_text observed=2026-08-07T14:46:02.816464Z digest=sha256:0881d05469d3cc1434976ca83b224d2f0dd2db9c195354f76ef37767a6e9f5b0

Observation ca6aca2c-e3b1-4aed-be9b-08df28f98ff2 · outbound

This paper cites Gemini 2.5.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Gemini 2.5

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:08.670839Z

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.

source=pdf_text observed=2026-08-07T14:46:02.872352Z digest=sha256:df859cba3130db5af3de38cc8500ff805c6f64c9aa7e94682d59cee7056e4d66

Observation c646fdd3-cab2-4987-ab50-620a26156e40 · outbound

This paper cites The Llama 3 Herd of Models.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection The Llama 3 Herd of Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:02.982470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:02.982470Z digest=sha256:50f75ed5fb52448a386181da2fb96d34908d79c3d470e28496b3ed25bd6dd3b2

Observation 656ad9a6-f126-46b6-be17-5d45e6ad8bb2 · outbound

This paper cites Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:03.097933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:03.097933Z digest=sha256:b2425b4a7bf7bbfc96af129b269f65af9946c24ed69b77b5090d7e7836f97c5f

Observation 71965578-9fb2-4f50-a2f2-9b7965e5d96e · outbound

This paper cites Huang, W.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Huang, W

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:03.210494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:03.210494Z digest=sha256:58ef1ad3c601dcfe7757f6021c094bd4659d96ab3618328b369b39c14b2b120b

Observation f178c917-ca0e-4d4f-982d-b68717746cbc · outbound

This paper cites Beyond Utility: Evaluating LLM as Recommender.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Beyond Utility: Evaluating LLM as Recommender

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:03.312249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:03.312249Z digest=sha256:d519799b594fc2a396f7a22f92b8be23c4d16522cfec91ff5296827e1fe7dce4

Observation 08ed4272-2cf6-4f91-8f50-224860cb87d1 · outbound

This paper cites Kiela, H.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Kiela, H

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:08.511386Z

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.

source=pdf_text observed=2026-08-07T14:46:03.425230Z digest=sha256:e0909a064740e54915c7e7cd931d25c012a7716df9fe7cff72f9fc45b5f7bfff

Observation 3d8dc0f4-8b75-40f5-84a5-395a5aab68b0 · outbound

This paper cites Multimodal Foundation Models: From Specialists to General-Purpose Assistants.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:03.576139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:03.576139Z digest=sha256:1bfd755d48982b1c018be44d49c0dd742c22cb80312f25748929a0f494be68ef

Observation 436c1e20-803a-41aa-98ce-fc3635351be7 · outbound

This paper cites an unresolved cited work.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:03.681191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:03.681191Z digest=sha256:187ffdaa9d46908238346055b69c6a74cdde50c0af1dacb4262b29dabe85e282

Observation cedc2a29-f36b-4b2d-a00c-e406fd72200d · outbound

This paper cites A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:03.798834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:03.798834Z digest=sha256:2ed20b572b5d407052c1066d5355b3b0190f7dd42669786f00c91a4bf408e1e7

Observation 14f7ca2e-8215-4c38-b546-a914147f398a · outbound

This paper cites Data Augmentation for Fake Reviews Detection in Multiple Languages and Multiple Domains.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Data Augmentation for Fake Reviews Detection in Multiple Languages and Multiple Domains

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:46:07.243992Z

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.

source=pdf_text observed=2026-08-07T14:46:03.915544Z digest=sha256:2cf48edb49f604c305eeedfeac27da8f15802ea3a790db5f6551423b7a2928fc

Observation 47b2fd01-48aa-487a-967d-3b462cc8073e · outbound

This paper cites MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:04.032247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:04.032247Z digest=sha256:390ed929d1574ef1d129dfc9fd9736a1454574c1e496eb92dd5c7a88ac456131

Observation fc4f6e34-12a8-44ce-9398-c15217a2c169 · outbound

This paper cites Large Language Model Instruction Following: A Survey of Progresses and Challenges.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Large Language Model Instruction Following: A Survey of Progresses and Challenges

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:04.112849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:04.112849Z digest=sha256:9b6f15746c0d6c0ed7d8cce09c8e694b16104e49f222e0858ff0481aa171c3ba

Observation f4da1340-f2ad-421b-9667-1af4afdb3095 · outbound

This paper cites A Survey on Large Language Models with some Insights on their Capabilities and Limitations.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:04.212070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:04.212070Z digest=sha256:9a0c80f699b56a92dc986c132205bf8f990e8c3b1d523bbeb19f21f0efe1f7e8

Observation 3ff58047-3c62-41d6-9dfa-cf232892c5bf · outbound

This paper cites an unresolved cited work.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:04.281881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:04.281881Z digest=sha256:ca9a985476c2721456da991ab0958f4182d9749c728b7b402d86c6b6fe017e80

Observation cbb17ce5-857f-4a84-9791-1542a5d6a023 · outbound

This paper cites KCIF: Knowledge-Conditioned Instruction Following.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection KCIF: Knowledge-Conditioned Instruction Following

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:04.392432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:04.392432Z digest=sha256:09c80ab61a16ba8825c7e1d5615251da9b1eb4a706346a0e55c5c66f60e99f1b

Observation f3f7b6d6-c453-457c-bfb0-0fec5bd6f007 · outbound

This paper cites an unresolved cited work.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Unresolved cited work

Reference 28

Resolution
verified exact
doi, observed 2026-08-07T14:46:06.530770Z

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.

source=pdf_text observed=2026-08-07T14:46:04.473877Z digest=sha256:e0d46e653c46ed3362c705dcff4979a1ace2e8f1380fceace9e916a476539991

Observation f2c91f0c-8153-4724-9100-37b1c42a9a2e · outbound

This paper cites Gpt-o1mini.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Gpt-o1mini

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:08.349197Z

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.

source=pdf_text observed=2026-08-07T14:46:04.580062Z digest=sha256:dde30fb72697a597d96301d6f0aabbb8c2f22f7ec3dd2b6fc2e60315f7745bbf

Observation 394c03a6-0448-426d-8eb4-4928bbea2d1d · outbound

This paper cites Gpt-4.1.https://openai.com/index/gpt-4-1/, 2025.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Gpt-4.1.https://openai.com/index/gpt-4-1/, 2025

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:08.149398Z

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.

source=pdf_text observed=2026-08-07T14:46:04.695199Z digest=sha256:f845a444ffa5a2626c6240f8c57cccadda7c870b9856fd495b0528b2be34be2a

Observation ea9a976f-c84a-4bb9-9d58-6c1506c0f398 · outbound

This paper cites GPT-4o System Card.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection GPT-4o System Card

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:04.776575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:04.776575Z digest=sha256:5282cfcfacbc0e6b5c337fa07d6b6ac015dd7e656d41d0175f01eabe95131d5a

Observation 14f5b712-cb09-4d64-946c-629c2abfd4ee · outbound

This paper cites GPT-4 Technical Report.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection GPT-4 Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:04.854655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:04.854655Z digest=sha256:47d7b81f011c63c546b5d22b552ea6ae3a7aa0d03e4999907a57fd604c2392b3

Observation 6ca18a69-4c67-484b-89bd-6a26259ac4cb · outbound

This paper cites Investigating LLM Applications in E-Commerce.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Investigating LLM Applications in E-Commerce

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:04.945515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:04.945515Z digest=sha256:c1f34655f57f7c6d2c92518fed2ba6d56edd81705b6f06bbdc6f676c1507d6b3

Observation 10ed3ac0-ab99-49b7-a95a-6c98a614d036 · outbound

This paper cites Qwen2.5 Technical Report.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Qwen2.5 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.040655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.040655Z digest=sha256:e09f03d1b1a42c0b86a97f0dcdc68a7a93d0c247fc21965b14217ba88889ed3a

Observation ddab079a-d4a9-4bba-b87b-8f94ca9466bb · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Learning Transferable Visual Models From Natural Language Supervision

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.153143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.153143Z digest=sha256:6a178d8fcf46c3cf6f0991b3e6017570f815fe30fda729b03380460711322eb4

Observation c996b47a-f93a-4b5b-8c28-fd0047305767 · outbound

This paper cites Detecting Deceptive Dark Patterns in E-commerce Platforms.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Detecting Deceptive Dark Patterns in E-commerce Platforms

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:46:06.957295Z

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.

source=pdf_text observed=2026-08-07T14:46:05.267287Z digest=sha256:a398f918b68f4537aca30956b79a35df637b426fd208a49214dcc9323935b2c4

Observation 4312746f-e220-4fdc-b77b-4fc30373181a · outbound

This paper cites an unresolved cited work.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.342775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.342775Z digest=sha256:bb58697fa525c3be63a188c664abf07589d62bdfdc25e3c464a7cffffe6f886c

Observation adccfa2b-d470-474c-aca1-86ad6c3e8a3a · outbound

This paper cites A survey on fairness of large language models in e-commerce: progress, application, and challenge.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection A survey on fairness of large language models in e-commerce: progress, application, and challenge

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.433687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.433687Z digest=sha256:4fc4ac9c4df5e8bb52502c99ae958ec053a46adabc8ba3b00b2de743fb9e3e58

Observation fa2b0a07-e2f1-446f-b993-eaa97fa149a0 · outbound

This paper cites Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.509434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.509434Z digest=sha256:e6ae9b435c82647719c6a6e9bfb895c1e41b360845925dfee2e836127636f1db

Observation fc40c1ec-1bdd-441b-9081-7d079442cee0 · outbound

This paper cites Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.592769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.592769Z digest=sha256:d519088c218b262ea031ac263131a124fa57c335d2a022c8462229a86757ed2f

Observation 2f61e872-f1a1-496c-90bf-e6661214104c · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.702910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.702910Z digest=sha256:cb127929a8f19989cd923479c45d83fef122d5bd898a9d8c36ee557819157be1

Observation e7a0337b-9bce-4070-997b-a86cbc085394 · outbound

This paper cites an unresolved cited work.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.779567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.779567Z digest=sha256:af299288fb0f2ededd3d5d2a5041645db578d6dc26b932935cbd90d22df108ed

Observation 602428fb-e95d-4e4b-966f-52d63434c168 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.858502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.858502Z digest=sha256:336d324c1a71865f44c55890387370a0bf1d46c07e36dfd6f5178973b162c699

Observation f79cc665-9589-4860-843d-4665c2859112 · outbound

This paper cites A Survey of Large Language Models.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection A Survey of Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.963354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.963354Z digest=sha256:8c9a33cafb992c09f8aebe3e7cefea2dc34e3c5809b6e36f25740372bd691e4c

Observation 904ae12a-c11c-4182-9fbe-504249297311 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:06.041945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:06.041945Z digest=sha256:9d6e9af280ec4e574c2519c68d0b9ec718c20842efc5f331e60b4bf3e25d0acc

Observation 37c29391-d390-4b75-a200-7ca8d9397931 · outbound

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

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:06.154570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:06.154570Z digest=sha256:a414300c6ffe5813790fbe45ed53f83bb5bb8e5911d2cc4daee95d2e27cc28e5

Observation 0a025dfc-2e6b-4e91-b335-6d2b73a1e0df · outbound

This paper cites an unresolved cited work.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:46:08.010234Z

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.

source=pdf_text observed=2026-08-07T14:46:06.264595Z digest=sha256:a67f821d5a61bb2b4bc96786dac86d8f83111a2ea5a2d7dfc7e602ff4dab4c50

Observation c5a57a1c-ce3b-4776-9744-04f999c43ceb · outbound

This paper cites 不相关”返回Z.其 他。 4.患病人群描述:若文本仅描述患病人群(如描述艾滋病人、心脏病患者的书籍或活动),判断为“不 相关.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection 不相关”返回Z.其 他。 4.患病人群描述:若文本仅描述患病人群(如描述艾滋病人、心脏病患者的书籍或活动),判断为“不 相关

Reference 48

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T14:46:07.861763Z

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.

source=pdf_text observed=2026-08-07T14:46:06.370008Z digest=sha256:47931e95e7288f9106fc32c97282029eb90061b345c45d0a710d4ee126ae6cfb

Pith citing papers

Observation 94f33bf4-a015-4ee3-9e85-564c15bec099 · inbound

Generative AI-Enabled Refund Fraud in Chinese E-Commerce: Investigation on Merchants and Platform Workers cites this paper.

Generative AI-Enabled Refund Fraud in Chinese E-Commerce: Investigation on Merchants and Platform Workers EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-07-02T03:36:30.050967Z

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.

source=pdf_text observed=2026-06-28T09:51:14.775196Z digest=sha256:7375a663ee160a76251cadd64aad723bcf0f96da289692297c968f78cba403d1

Observation 2110aafc-a4bc-43d0-9aff-c0e7461cb2d2 · inbound

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety cites this paper.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-04T16:59:58.565221Z

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.

source=pdf_text observed=2026-06-26T00:03:27.948225Z digest=sha256:7f61aa8658d0810d4c48b3cede0da178d5349cd85dfd653331dd5f431a047c52

Observation abdb6a5d-f1e4-4073-b346-814ef0813a55 · inbound

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety cites this paper.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:03:48.797548Z

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.

source=pdf_text observed=2026-06-29T05:16:19.502837Z digest=sha256:005c7db3ca42f6cb0a458dad7cdd9867340a92aba16d1d4bd026ede50730c6fe