Paper Citation Record · LEDGER

Safety Alignment for Vision Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:24:15.097357Z

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Resolution: 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 2026-08-10T06:31:04.303077+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-10T06:31:04.303077+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-10T06:31:04.303077+00:00.

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

Resolution: 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 2026-08-10T06:31:04.303077+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.