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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:807235ac6f2baea2def9355ead410b0e8f0952e51efa8bc473eb91773b312948

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=sha256:4a8085d43543f0f8718bac614183e9a2ea1c7dd6ff7c2cacb3516cc6754ed23d

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=sha256:8cc21cf8ff20d3a6508bac9e34a3711cd22fd74ed01bf8a3d72673a01566d375

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=sha256:7953825cac82c2b383f02de270206fbc8c9135593f5f6919da0af302de53dbdf

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:c8d6b3a6610bf65eff0667ed92e4278cb3f2ffd06473584f52a18617a5db49e4

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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source=arxiv_source observed=2026-07-31T23:07:36.430639Z digest=sha256:a09cc5e9738cc2cd96f7f283d2e8dd0d73b8da68f6c272d6fa29addb337b7b92

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:b367d2b67a79eddf32df34137985decf224b61d713251e79aee7e2901db0ab6e

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=sha256:189625db5329239e8d922c894ce29d760d430f1a22f129fbbf8c2e7bdb248338

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=sha256:1a1f66bc9e5c3586bd4e4811554a513a4de669300c8ee5a42a46852724ab0eef

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:e14821b008038e627216969189feb3f1cf7b16e5621cea616a4be50b9ad1efd1

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:d9f9df67a18fbf56b4249b47436a0b03b55adc7357e2274f35031d407c8c9c3a

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:bddbbb063a0d401e783d7d694fb096bfdd3ed02ef22f9b332ffce3a123fc24b2

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:b9a87dad814ac3b47ecda4ad0e9e60ab27e4b40ccf008dee21f1ce8f19ad7560

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:f595120a1050396cda0eb5e1f8404405978b4ffdfd7972fb42d82356dffb7698

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=sha256:45700b704ae115f89d4efa7457fa7d7c11c3ea03745a715a44e4fc43f5498b34

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=sha256:8f8e8376921b193047db4bf6823c6eeda323bb70c71b4d4bc8c684f07a863440

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:ed427db500b25fb11c0ae4300ab76ecbe72c8dcff8f9bdb3bf008fa82cf0c359

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:d9cbc6431a605f25b35151d2f5c3053edb889bcd23e8472462736a43db9d0a59

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=sha256:0d98d4ac7998ce4ff893aaff5e937f8467491a53e278155230bd4fb8e2f84c33

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:dcc5246694887cb5d462aaf9ded9734662a6664348470e82c90c57c60834ce81

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:d6ec0d7f00c2535b24c81fecd83a3e2c2503c776d79f6f923a647abc2d500027

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=sha256:5eb12f7e2f7050bceec52be3b725e59aba630daaadad2ddffd0a903636a8982c

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=sha256:5abe3a94465e7b9ff8b3d853aa606a9355a110a34d59b6e49355c833b63c5ae6

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:ed5a19e08afb561471df9fb893c65b5258326fc9dacf9d75414207185e4695d1

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:e7eee84fb6c021729e7c7b27e0bcd812096eec9e40361124c7b458899e95cadb

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=sha256:80d7369fa21e139328165265ebc1235d02074a60c10d0e38eef5fe4bbb7cfc90

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:e6c91d69f57182a41f4b404df5975df7e8e70b621eaf167ab02ca62e9cd005c0

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:aea63bfbd5334d81893fef109ce4705be41dcb0cca54aa6e91e5b4aaa73b2b2d

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=sha256:75a8145a9bf20f6837a53bcac78016345da091af3795e6ee119f89e0090d5942

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=sha256:953a96fda841f0aae8ec02cdf60d91e7c9ee71bcf40ae67485115a7ba824f384

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=sha256:6a55259c714b6d71fba2ba32da7104ccb662eb272a08a87e6badfcff1dac9a68

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:ad3eb240055c616172a7db8b2826be250e91a72d69df987ca7e004a45cca0de0

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=sha256:633c71a4d891e555e812d6bba91a0d146734028e2445baf6f36a99ee4b0014f7

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:a2be68670e6f54a45986b125541384c4ca1458b88c5454632a6be67f2e3a7b49

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=sha256:75bc6a40406152f8cf0796b896df76f9441c6ecba8fa1eababaf35a5421c6fae

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:c941e69a5c74b7cbfc169af609a77b061cf1238dcc2d018bf904a12b2d40ab2b

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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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=sha256:4a863993710f4e39c78e79798cd632c34f49b1643df095bc31ce5e492b29478f

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=sha256:070d9f5db527b33efa5ed2765502cc1791d836305fea11d5500898a529efd855

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:d5afc56caa96bdf6bdd6bed440d352f9e5a8c72bf2cc7436a6ef87d02462a655

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

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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:e2e948c0e48c224b45328fe7fb445abf5fed37c01413d6fa8b4aedcd567f7214

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

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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=sha256:19d210e758f6a568b5412c7e5b3d715c5cee2dd0dd1876225fd7463c819a13cd

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

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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:e370b491ad88e54f8de95796adc083b3d23fcafd62726205ebd75b7bc11a2548

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=sha256:07762dc57a96936eb688f52fb4f90e81ecf139ee0bbfe44ae92814625ae2022f

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

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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=sha256:9a702b0ca790ef64f30049cc36628a8dcd1a93c46be0b813ba077c90e7befc85

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

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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:ce5c5dee8e0f4c83d7ca809f17239e7805fe776000ffedcee05b35e8082736c0

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

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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:d28a9199a2e074048d4830295920493d7447d9d1ae3151a04c1020f918ac8203

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=sha256:505939405d496aac44a5b6ef89d6295ce7635d72a8dc50839d85f20f4e25c749

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=sha256:700125edf86d73a8dcc2e428522739cb9a5ab9a06fb0242a365f2f8013ae8cc2

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=sha256:3d9bb3c1f75788dfb6a22b2c408aa1289fc9d10995e4590713037813102b1f5e

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=sha256:8aa97f67f6b323a34d8842c94d6b12b029325ed18880991478ff11a388f052cd

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:f6f94f0fc0c499f9fcbfd7cd61a46cf85d12f1667cc258b131f330c65966cc1c

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=sha256:37d82760dccc8274ca03db3a8fa06c331c8ebae5799ffd471953f77c649c14c6

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=sha256:2b9062110cc70e5f6334c7dc03c69e44d94f02ee346096aebf5fc723a2a0c9e5

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=sha256:06ce97c2dc79a84ce97615382a4cb09943973956670b823e04d808cb4dbe4562

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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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=sha256:178edf4cfb95beb7b7b83ab98ba76f0199d2d4a9082907d0c42ae611783668c5

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=sha256:5ba111751194be86a0e20b282a4aa688f08c8bffa56ff369b4b2454c0bdec929

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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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=sha256:3328eaf75f28185756f8d6da90e923cb15e9087d9690eb2db62ea8c5d4739685

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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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:b037c585942a9f1ad8132454c25cc6d7a666e9d97ca71764c97c4412d604136b

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=sha256:01843c1fda8a19561984eab1f9eaa2b9146abae5da39d015d21864cfadb67635

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=sha256:5f1c8be86f42bf33c24c958ea845fe3fc915d2980e58731782a8e9cfdc2fe915

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:af472094b9ffacd4148ab8d45c766336b1fe3bb7b159ebfdf7effb7a8a9944d1

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:aed537a4ca2cd7a55df51aadb95fafae884be1d88135e2cb5674e7f21386b1b4

Pith citing papers

No inbound Pith citation observations are available.