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Paper Citation Record · LEDGER

Safety Alignment for Vision Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2405.13581.

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

pith.paper-citation-record.v1
2405.13581 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:29:59.132998Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:29:39.387246Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 08423f39-3cf7-4451-995e-ff435e41dcb9 · inbound

Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey cites this paper.

Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey Safety Alignment for Vision Language Models

Reference 118

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no resolver link, observed 2026-08-12T20:53:15.113412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:53:15.113412Z digest=sha256:9195a099df5593138e6533cf9c62de9b2efc979cfe209aec8ac205b2ec4b0a20

Observation 7ec507a7-44a4-4815-8e5a-9eb6904ced24 · inbound

Peering Behind the Shield: Guardrail Identification in Large Language Models cites this paper.

Peering Behind the Shield: Guardrail Identification in Large Language Models Safety Alignment for Vision Language Models

Reference 26

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verified exact
arxiv_id, observed 2026-05-23T03:45:21.367881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T03:45:14.234545Z digest=sha256:57a7b3c0ecd31f6020253a5c657cbe54703e97cb5b8c483c51608519e1fde118

Observation bb5cd8c9-7ef6-47a2-8e7c-088d341d3016 · inbound

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations cites this paper.

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations Safety Alignment for Vision Language Models

Reference 51

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no resolver link, observed 2026-08-07T19:45:18.741577Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:45:18.741577Z digest=sha256:600ea90c48981f3e1da380761061e58f3ca56f06e427338f8a1c1b49c8642ae6

Observation 11d60464-b52b-4b51-8f82-038bce3c60ec · inbound

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models cites this paper.

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models Safety Alignment for Vision Language Models

Reference 33

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no resolver link, observed 2026-08-16T10:29:59.132998Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:29:59.132998Z digest=sha256:d5790d402d14aa4660ded54d313e8e626536cd34b21276800b466c29bfe7b0d1

Observation 94989d6d-777b-4466-9265-49011f8afb08 · inbound

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning cites this paper.

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning Safety Alignment for Vision Language Models

Reference 49

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no resolver link, observed 2026-08-15T21:05:17.495093Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:05:17.495093Z digest=sha256:9c1b68d5056e36289b5ba96233f86bb19d5cf6ffed57eee1f4f32b76b88c8f11

Observation 2b274130-2507-4822-8319-c3e5e278fc8c · inbound

Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models cites this paper.

Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models Safety Alignment for Vision Language Models

Reference 19

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no resolver link, observed 2026-08-07T15:11:04.864541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:11:04.864541Z digest=sha256:fe42728d136f3f9206a88c586cd31612d61247f7f97ff6fd70f4a358f1f95d3c

Observation c7dbf271-07ba-4189-9537-d477baeae198 · inbound

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization cites this paper.

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization Safety Alignment for Vision Language Models

Reference 29

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no resolver link, observed 2026-08-07T15:03:59.863053Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:59.863053Z digest=sha256:90c17bcc3746fc6dbd3f4336312ebbbe05204e758bd48c86f0687b501f5c231b

Observation ead23f03-ad26-4c20-9ad5-a69187c4afd6 · inbound

SafeCoT: Improving VLM Safety with Minimal Reasoning cites this paper.

SafeCoT: Improving VLM Safety with Minimal Reasoning Safety Alignment for Vision Language Models

Reference 16

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unresolved
no resolver link, observed 2026-08-07T05:19:00.692234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:19:00.692234Z digest=sha256:d6a50dbdaadb1ada27a662de024c02b968a1760000b336041aaec6af5c46c096

Observation 404387ab-8742-451f-b24f-72d358263b4d · inbound

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations cites this paper.

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations Safety Alignment for Vision Language Models

Reference 19

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verified exact
arxiv_id, observed 2026-05-19T10:57:16.523392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T10:54:55.262180Z digest=sha256:dcdbca2b13764d55bd5a1edc3f25b15dca3962ada05603b990535413af1fcab4

Observation 3acacffc-bf8e-4d23-8f7e-673730b424ca · inbound

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities cites this paper.

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities Safety Alignment for Vision Language Models

Reference 40

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unresolved
no resolver link, observed 2026-08-06T17:21:35.272675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:21:35.272675Z digest=sha256:88d8ca2143435830c318e7c2e739d54f7e2bd0c812aba1ccb8660e8f3cbd2004

Observation 96618f7e-b14f-4842-acdb-1b997d5f3982 · inbound

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions cites this paper.

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions Safety Alignment for Vision Language Models

Reference 48

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no resolver link, observed 2026-08-06T11:34:27.336758Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:27.336758Z digest=sha256:72dae5d1c44857a24ecd754fb4bffdfbffcd5b0a3b74db1ae992f4a0b2df9cd0

Observation 082c05d6-cde0-4581-83ae-25958a556f28 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Safety Alignment for Vision Language Models

Reference 239

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unresolved
no resolver link, observed 2026-08-05T20:29:07.179820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:29:07.179820Z digest=sha256:adacd38aaf6614485167316f77c6fda0a39fb99a1c1e01effcd3e04e14c33180

Observation 578261e9-e7a0-4aef-a60a-d14880be6f53 · inbound

$PC^2$: Politically Controversial Content Generation via Jailbreaking Attacks on GPT-based Text-to-Image Models cites this paper.

$PC^2$: Politically Controversial Content Generation via Jailbreaking Attacks on GPT-based Text-to-Image Models Safety Alignment for Vision Language Models

Reference 21

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unresolved
no resolver link, observed 2026-08-03T11:47:41.187248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:47:41.187248Z digest=sha256:6d62911c467d81043a6db755fa37ddcea440aefdab365268fde3b4b8b7f11f0d

Observation 680f3798-8504-49e3-bca8-95403b07530a · inbound

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

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections Safety Alignment for Vision Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:45:49.534009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T20:16:13.413064Z digest=sha256:11e6e79100eb0b61b9d590ba8e9b31074c3302195b9906152bb67140b5df2ead

Observation e6b89c78-534a-46fb-85a7-dc41db16909a · inbound

AOR-Bench: Do Large Audio Language Models Over-Refuse Pseudo-Harmful Queries? cites this paper.

AOR-Bench: Do Large Audio Language Models Over-Refuse Pseudo-Harmful Queries? Safety Alignment for Vision Language Models

Reference 7

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metadata mismatch
arxiv_id, observed 2026-07-04T07:29:39.388826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T13:22:12.541923Z digest=sha256:c57e58f54913290dcc7e9752265ae050b693584a742ad70526698e4ceb7dc08e

Observation 9527eb5a-91c8-4468-a724-a021aaa76373 · inbound

MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration cites this paper.

MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration Safety Alignment for Vision Language Models

Reference 31

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no resolver link, observed 2026-08-07T21:24:15.097357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:24:15.097357Z digest=sha256:ee0123e9870a0dc8756877677be1cf13bf56435ca57de69306c5f1d7827d2806