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Paper Citation Record · LEDGER

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs

As of 9 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2607.27917.

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

pith.paper-citation-record.v1
2607.27917 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:07:40.703981Z

measured 62 of 62 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved62
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd3f871f-9b00-4819-8da2-137ffd571274 · outbound

This paper cites European conference on computer vision , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs European conference on computer vision , pages=

Reference 1

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source=arxiv_source observed=2026-07-31T23:07:35.935760Z digest=sha256:88b234865cb5d33bc38ba3fe92c0e98c75ce00e569bff75a462d537f52a0010d

Observation 133a6bc0-f043-4acb-ba93-55dc38974415 · outbound

This paper cites Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models

Reference 2

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source=arxiv_source observed=2026-07-31T23:07:35.993298Z digest=sha256:8d287f7be328d1c302f532e24b8f0c0fe4336fd4f5bc685fbd6c35a058d244b2

Observation 1f7f651c-e219-45da-b2f0-6f338ce1acd2 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 3

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source=arxiv_source observed=2026-07-31T23:07:36.082026Z digest=sha256:61b08c92a1e064767f2cde2b19e3decd35e1f299f8ad4705359ef693c83012fe

Observation 75e3594a-b3af-4374-bdc9-f07a959b59bf · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Language Models are Multilingual Chain-of-Thought Reasoners

Reference 4

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source=arxiv_source observed=2026-07-31T23:07:36.204013Z digest=sha256:1de77adbf843689e53928b0cf3ee92f2236371e6284caa45998491c75de0de56

Observation a992a3aa-7725-4158-8c0f-e633cf16e867 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=

Reference 5

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source=arxiv_source observed=2026-07-31T23:07:36.307426Z digest=sha256:12d2114166ea2bb28357165b63b014773ffeec7e527f70d970b44ada06e6e85b

Observation 56abfa45-263a-4f17-954b-760b114f8451 · outbound

This paper cites an unresolved cited work.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Unresolved cited work

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:36.430639Z digest=sha256:a1e465d1a18bfa6b33e51c8d04f50057a0aa8c5635a7994ddcf21e5bd16558d0

Observation 7a1f4b58-35ab-4406-b8f6-42bab4e1ad12 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 7

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source=arxiv_source observed=2026-07-31T23:07:36.552810Z digest=sha256:8bec0c8e60e1f82bab6c9921741dae3324990e33799329f9b882ff125a15d6aa

Observation 5e49c6d3-bd7e-415f-b692-04789352c566 · outbound

This paper cites Proceedings of the 31st International Conference on Computational Linguistics , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the 31st International Conference on Computational Linguistics , pages=

Reference 8

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source=arxiv_source observed=2026-07-31T23:07:36.655085Z digest=sha256:3f242930a7035b746393baa62eaf58660ceb5cd7023030f80646ff3baa264864

Observation 681b59c6-4639-43b0-a0e9-ac25a2d2e2a4 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 9

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source=arxiv_source observed=2026-07-31T23:07:36.745408Z digest=sha256:1b1bfec61393d2ffae1d34504db86d767183ce978b305cc2c3b5130cf5ea7902

Observation ffeae474-a4cd-4c55-92f5-af38420bc189 · outbound

This paper cites International Conference on Learning Representations , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs International Conference on Learning Representations , volume=

Reference 10

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source=arxiv_source observed=2026-07-31T23:07:36.853108Z digest=sha256:16c9d75982cc9c3402637b034ca826664f49a8e64f6a749aacae052db345ec5b

Observation 1016aaa0-f795-43ff-b6a8-89555317008c · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 11

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source=arxiv_source observed=2026-07-31T23:07:37.017335Z digest=sha256:fa60b41de9aaa4c5d07b598f4b87948541b650022eae7c7b56db6de16a4ea244

Observation 5d8e7b1a-38f8-4e90-90e5-58135c4c9bf3 · outbound

This paper cites International Conference on Learning Representations , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs International Conference on Learning Representations , volume=

Reference 12

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source=arxiv_source observed=2026-07-31T23:07:37.182036Z digest=sha256:250541b9735ea8d6096e2f0cc72d1d61b364f6cae893256c8f11f76f0a31f5e3

Observation a16dbd1a-abc7-4b4d-b498-c1dd770bbc08 · outbound

This paper cites European Conference on Computer Vision , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs European Conference on Computer Vision , pages=

Reference 13

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source=arxiv_source observed=2026-07-31T23:07:37.191517Z digest=sha256:2d24c59b1da9618c60c32f6201e076e455c20e9445618c55131e36b7504352d5

Observation 7126683a-5269-449d-a4d7-933d1fc47bcf · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Findings of the Association for Computational Linguistics: ACL 2024 , pages=

Reference 14

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source=arxiv_source observed=2026-07-31T23:07:37.279483Z digest=sha256:0121eef4186efac31a2ca299b7c612e5b1c456de147665f3e158149fffa78697

Observation 8b4147de-8502-4cb8-81fd-7eac66ec63ab · outbound

This paper cites Advances in neural information processing systems , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Advances in neural information processing systems , volume=

Reference 15

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source=arxiv_source observed=2026-07-31T23:07:37.391270Z digest=sha256:5ec166ac727f6e6e384282900aa793fd9fbd52c6725bf43db7ed7ca70cdff0a2

Observation 45baa0b1-3fc8-47c1-9162-08883b253236 · outbound

This paper cites ACM Transactions on Software Engineering and Methodology , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs ACM Transactions on Software Engineering and Methodology , volume=

Reference 16

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source=arxiv_source observed=2026-07-31T23:07:37.474234Z digest=sha256:b5c46064c0dcebdade596debc075ca4ce16baea45f17ad97dfee6b5d4b2f718e

Observation 6c261576-7405-40f9-bbb1-2588d573b740 · outbound

This paper cites Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

Reference 17

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source=arxiv_source observed=2026-07-31T23:07:37.594638Z digest=sha256:0161c67803cdbb349636e0ed67f27417dc059980a15ab5169711f7d526848f9f

Observation b1f9f076-952b-49f0-bf20-7b97512151ec · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 18

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source=arxiv_source observed=2026-07-31T23:07:37.687091Z digest=sha256:f5e54cbc3b40832dc853c59f9664ac473205121d93f39da2394af32d873c937b

Observation 8de8a063-9dcf-4e76-9e64-8c84e35b6e2a · outbound

This paper cites , author=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs , author=

Reference 19

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source=arxiv_source observed=2026-07-31T23:07:37.792813Z digest=sha256:c39d53dba7361c6f1d597aa58e553a36fcd86a7cafd213050b3a8457c5005761

Observation bd21d3ed-76c9-4ed8-a11e-02eec9a335a4 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Finetuned Language Models Are Zero-Shot Learners

Reference 20

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source=arxiv_source observed=2026-07-31T23:07:37.939490Z digest=sha256:a2fbbf62e742d97b74aa181657d82ad1f4e5966e7513ce6488e30f2c26578d03

Observation 9d059432-56aa-49aa-bbd1-bd046862da47 · outbound

This paper cites Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , pages=

Reference 21

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source=arxiv_source observed=2026-07-31T23:07:38.066884Z digest=sha256:ab13684841df51167f0e730f5b943bbd792a92297acf6131c62a8b90468de8f1

Observation 4ca2c401-ee6d-428b-a167-48ab331957aa · outbound

This paper cites ACM Computing Surveys , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs ACM Computing Surveys , volume=

Reference 22

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source=arxiv_source observed=2026-07-31T23:07:38.144990Z digest=sha256:f00e71573a77f7fe9f90ba6adf8dfd00e4d8a739e1a2595a2a759d550f227564

Observation 30b18abd-8760-4705-9392-f6355cb65a52 · outbound

This paper cites The Second Tiny Papers Track at ICLR 2024 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs The Second Tiny Papers Track at ICLR 2024 , year=

Reference 23

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source=arxiv_source observed=2026-07-31T23:07:38.201864Z digest=sha256:66991acb2fae9db9bb41c17d1240726d3debf0a19f5586596c8c2806c5ed2aa2

Observation 81806b67-2981-4e5c-8ba6-cb19f5e76ddc · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 24

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source=arxiv_source observed=2026-07-31T23:07:38.361982Z digest=sha256:c58d91ccdcd481f353d196dfd6ef40b96573865a5cbe5fc8c004cb2c253db0a6

Observation ed631c78-ac9d-43aa-a90d-4307cc4386a4 · outbound

This paper cites arXiv preprint arXiv:2602.16660 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs arXiv preprint arXiv:2602.16660 , year=

Reference 25

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source=arxiv_source observed=2026-07-31T23:07:38.471659Z digest=sha256:aea1ee2eb28a4d8eb9eedbcfb2dbce28001b7031ac8fa3f73b15a27e6ffc4c88

Observation 584c995f-e288-4597-85ff-85fd2641b81f · outbound

This paper cites Qwen3 Technical Report.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Qwen3 Technical Report

Reference 26

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source=arxiv_source observed=2026-07-31T23:07:38.605144Z digest=sha256:48257f5e3b77a6a4680a2cc5983075ec1641f5119f3db8c0e5859bca869e9059

Observation d7bc1f4a-9ff1-4d9e-8b03-bdb6ff4c91ae · outbound

This paper cites The Llama 3 Herd of Models.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs The Llama 3 Herd of Models

Reference 27

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source=arxiv_source observed=2026-07-31T23:07:38.757243Z digest=sha256:9d6e3458b5b8039aa16c0376416e7616f22a522f3b694c59c90040a06fea83f3

Observation e2e490ba-21df-4a62-a7d0-872b3bd31cd8 · outbound

This paper cites Qwen3Guard Technical Report.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Qwen3Guard Technical Report

Reference 28

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source=arxiv_source observed=2026-07-31T23:07:38.966539Z digest=sha256:2ce8101e76b17702e0b2ad7f846d0336fdb2e9e496b784a36f027aafb34abfa2

Observation 3de16b2c-19d9-4625-b2ee-bea6dddf1b1d · outbound

This paper cites Gemma 3 , url=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Gemma 3 , url=

Reference 29

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source=arxiv_source observed=2026-07-31T23:07:39.158685Z digest=sha256:a8318649a38f10059dc778c55dad48828f46d60e01e7e609a70a31090121c34e

Observation fe5ca6f9-705d-4a06-8675-7d75f0c7c56a · outbound

This paper cites The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts

Reference 30

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source=arxiv_source observed=2026-07-31T23:07:39.332550Z digest=sha256:92981b735352bb68075af14187c1e207f5282552a590bb372678c520a0b82457

Observation dcf6dd98-11dc-46df-b27e-de89b9960471 · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 31

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source=arxiv_source observed=2026-07-31T23:07:39.500723Z digest=sha256:3d7076f1e8ed0c97b447f2e86dde9e25e53be80279a914de5706be3830083e9d

Observation 53f02781-5f40-4ffe-83be-24dd3ce21925 · outbound

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

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 32

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source=arxiv_source observed=2026-07-31T23:07:39.645899Z digest=sha256:bed909a955d4a8e6dcf7dad5b85b450734fd18db9b0e41de25cc819f00d7900d

Observation a536787a-3a5f-4751-9dba-ec9f93c6c34d · outbound

This paper cites COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

Reference 33

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source=arxiv_source observed=2026-07-31T23:07:39.746628Z digest=sha256:2015997d24265a2e13138bcaace903dc517d6bc46eb4b7626e7073be47cd78f3

Observation 41779b05-969d-4d32-8215-6b4c5ec77c4b · outbound

This paper cites European Conference on Computer Vision , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs European Conference on Computer Vision , pages=

Reference 34

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source=arxiv_source observed=2026-07-31T23:07:39.825200Z digest=sha256:521fb7b5bacd317ce99abcf5acd297c0e8456fd32cd85647b1e59ebac0431f56

Observation 07a487c6-9b7a-4608-b51e-29d8e149ba68 · outbound

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

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character

Reference 35

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source=arxiv_source observed=2026-07-31T23:07:39.941483Z digest=sha256:a6f9b2a95a5ca4be329b572b56e5d7e7f34c9fe2a4ddfd29131719919d9e4dc3

Observation 27035e5d-4456-46c9-8155-230aefb14533 · outbound

This paper cites ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time

Reference 36

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source=arxiv_source observed=2026-07-31T23:07:40.056533Z digest=sha256:44f596fbc64c578180590a31f3fd9ba64ebafc654c44f98f488eeac99c7471db

Observation 784a0260-e9d2-4bb0-9d49-1ee3e05ce610 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 37

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unresolved
no resolver link, observed 2026-07-31T23:07:40.173637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.173637Z digest=sha256:5c699474f6f09c6babe04d266a429d13c9d8c41edbd9aa714a15ff463e729c57

Observation 75d22052-f3c0-4641-96d7-43c4295008c0 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 38

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unresolved
no resolver link, observed 2026-07-31T23:07:40.263461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.263461Z digest=sha256:caf188a53a7406fef64b49cb62793df601aae8a521dc142497554b8bf7902d3b

Observation 5fe0b2d2-2cd5-44f2-be61-3ae44e37aceb · outbound

This paper cites arXiv preprint arXiv:2508.01710 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs arXiv preprint arXiv:2508.01710 , year=

Reference 39

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unresolved
no resolver link, observed 2026-07-31T23:07:40.331051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.331051Z digest=sha256:d0028a78be1c279c409e0085177e5e107099b4356a820e818d92ceef40553716

Observation f0361a0a-a3ba-47dc-a2d9-4bdd3ed26e80 · outbound

This paper cites Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-31T23:07:40.461286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.461286Z digest=sha256:efdde190926ed65bc45afe49d89000984da4eda2b62dc036ea35f820fa9dce3b

Observation 94f18b36-34e8-40e2-9d12-de108b0c5073 · outbound

This paper cites IEEE Transactions on Audio, Speech and Language Processing , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs IEEE Transactions on Audio, Speech and Language Processing , year=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-31T23:07:40.579136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.579136Z digest=sha256:f3d6afb4c94a4cbb65b2a99f8dff98c2c8e72ceba1ac615bdedfadbd3b50f909

Observation 9b14b217-0af7-4e06-94ec-d57e4102de52 · outbound

This paper cites The Emergence of Abstract Thought in Large Language Models Beyond Any Language.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs The Emergence of Abstract Thought in Large Language Models Beyond Any Language

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-31T23:07:40.584497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.584497Z digest=sha256:092092d13bfdb3233c1872ec43dd10bf38cb4f7c09c26d3de2d671bea0642eb0

Observation 624b69ff-e909-451c-8e86-49129598f8a2 · outbound

This paper cites Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-31T23:07:40.591567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.591567Z digest=sha256:8e3eb5ae34df02b89b46bd3e7afb8645fa5ac85493f7910e0b01fb3d67c4f726

Observation 03255389-28a1-4914-b697-4d22730f8899 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-31T23:07:40.597357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.597357Z digest=sha256:c3f55e1998e78eb687e3ebf58b8382412b40ccabf7ecdd673f8dd2be3d2ef001

Observation a4627470-a864-4959-869f-cad90f043c2e · outbound

This paper cites arXiv preprint arXiv:2512.01797 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs arXiv preprint arXiv:2512.01797 , year=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-31T23:07:40.602585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.602585Z digest=sha256:c96249f826011a80d57ea90f9b48999354f0c3e52cdb7e662371c345298040b6

Observation 8e4f3834-4db4-4116-83d0-a509d9f04783 · outbound

This paper cites arXiv preprint arXiv:2601.22515 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs arXiv preprint arXiv:2601.22515 , year=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-31T23:07:40.608491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.608491Z digest=sha256:7c8a937735da14cbebabef9573af8bbb82cd9a8cd16fff0a14bb91c8463d3375

Observation 10d4bf11-73d2-4c14-8106-1fdd9dd846f2 · outbound

This paper cites arXiv preprint arXiv:2602.12158 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs arXiv preprint arXiv:2602.12158 , year=

Reference 47

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no resolver link, observed 2026-07-31T23:07:40.613089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.613089Z digest=sha256:0b935819557511a800cc67fee08f5b3793e17c887e917901ecdc3380bfaafe11

Observation 9c0f034a-74f1-41ae-9af5-115923c77da6 · outbound

This paper cites arXiv preprint arXiv:2508.09190 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs arXiv preprint arXiv:2508.09190 , year=

Reference 48

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no resolver link, observed 2026-07-31T23:07:40.619071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.619071Z digest=sha256:1a3a4fe68f7e1c261e1768faa113377d45bc6f72e7f8a78a339a4696bed1438a

Observation 60c0a32a-3f1b-46d5-b624-01371894f87b · outbound

This paper cites arXiv preprint arXiv:2602.01283 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs arXiv preprint arXiv:2602.01283 , year=

Reference 49

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no resolver link, observed 2026-07-31T23:07:40.623711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.623711Z digest=sha256:9e6495ff175702efe746055bc99f8a93121795e6f7aabce59bbe1f5dd8193dd9

Observation 49802612-a72c-4b0c-8d81-951c9ed814d5 · outbound

This paper cites ACM Computing Surveys , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs ACM Computing Surveys , volume=

Reference 50

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no resolver link, observed 2026-07-31T23:07:40.628291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.628291Z digest=sha256:b5399db324c5dde11a7cbc95b1fb1ad0ed1f6b77bc6ed711f2738c1dc20543a0

Observation d8a0564f-c64e-408b-88e2-7bac95c2c47a · outbound

This paper cites Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V

Reference 51

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no resolver link, observed 2026-07-31T23:07:40.633732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.633732Z digest=sha256:2ede8c59d41fbfdaa09869e0fcb789c6e31f8a57bbfc6629e68a4d23ac584bb3

Observation d29e533c-f2a4-4e6f-b021-fc32278d55d6 · outbound

This paper cites BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning

Reference 52

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no resolver link, observed 2026-07-31T23:07:40.640029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.640029Z digest=sha256:94e83b6bbead11f64040763ed8c80045249b8530a8f1a75fd605441bfd27e902

Observation 946d968e-68ff-4949-b67c-01c0074a1da4 · outbound

This paper cites Learning, Media and Technology , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Learning, Media and Technology , volume=

Reference 53

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no resolver link, observed 2026-07-31T23:07:40.646292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.646292Z digest=sha256:6689aff09e9843bf76e941d947c37ab28a8a55b7f5ca5e61367a2c910f495245

Observation cd001eb1-32a0-4b4e-8862-f544de839176 · outbound

This paper cites Advancing LLM Safe Alignment with Safety Representation Ranking.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Advancing LLM Safe Alignment with Safety Representation Ranking

Reference 54

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unresolved
no resolver link, observed 2026-07-31T23:07:40.652133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.652133Z digest=sha256:76f0183f3ed668ec331c511ec351d5ce3c9c6b28fab5f9a7d06c2bec381bfc33

Observation accc4ea6-233b-4648-9073-415658571699 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 55

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unresolved
no resolver link, observed 2026-07-31T23:07:40.658375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.658375Z digest=sha256:c23f963c28cfc140c177983e5773b42cff24d93d365fdef81c0ec92c933c9aae

Observation 30b5dc05-c6e8-4b61-88ba-a2e4b0efa523 · outbound

This paper cites arXiv preprint arXiv:2601.14298 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs arXiv preprint arXiv:2601.14298 , year=

Reference 56

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no resolver link, observed 2026-07-31T23:07:40.663190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.663190Z digest=sha256:1a0fc4746d4baca1394cb599a6182afdc2b1f4d2419d4a179204415d71ec86c1

Observation 42473ed6-fe97-4561-a313-a846dc1b3ba9 · outbound

This paper cites arXiv preprint arXiv:2602.22554 , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs arXiv preprint arXiv:2602.22554 , year=

Reference 57

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unresolved
no resolver link, observed 2026-07-31T23:07:40.669970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.669970Z digest=sha256:fb439b469190d1537849f88fac04b8507b3feb823301c1df761c89220798cc23

Observation f1b08745-b835-4965-9b21-0ee383f25942 · outbound

This paper cites Journal of Machine Learning Research , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Journal of Machine Learning Research , volume=

Reference 58

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unresolved
no resolver link, observed 2026-07-31T23:07:40.679856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.679856Z digest=sha256:77fce331f227efe23e7a1cdbd42e8cccb673f6098b8abe03cb657692103bcf4d

Observation bcfd39c0-cf36-4cde-8840-92ba590592f8 · outbound

This paper cites Open Problems in Mechanistic Interpretability.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Open Problems in Mechanistic Interpretability

Reference 59

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no resolver link, observed 2026-07-31T23:07:40.684953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.684953Z digest=sha256:53bae4e39958094709e0e3fa2fe1c0be168864d6351c52dfddb4848aab43d5f6

Observation 029475cc-f035-477b-bde1-e23eddc39a4b · outbound

This paper cites ACM Computing Surveys , volume=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs ACM Computing Surveys , volume=

Reference 60

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no resolver link, observed 2026-07-31T23:07:40.692871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.692871Z digest=sha256:0e7ca84e7127937762d8b858a49644ba18973e1d9aa5f655b482882a5d8d87b7

Observation 7d0c1e44-7281-4275-b932-413c6f973616 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 61

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no resolver link, observed 2026-07-31T23:07:40.698924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.698924Z digest=sha256:440ffc8943f8735a500de3b351eb240b9cfec7fa5e4945343d5ae95dfdf872a9

Observation 811c3b81-5d9e-4211-99e0-7e3cfa079ec4 · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs Forty-third International Conference on Machine Learning , year=

Reference 62

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no resolver link, observed 2026-07-31T23:07:40.703981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:07:40.703981Z digest=sha256:b1c1acc1b821c695cbe3543bae820284bd3534db7beabf72b5eb73a29fc1789b

Pith citing papers

No inbound Pith citation observations are available.