Paper Citation Record · LEDGER

Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2503.17682.

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

pith.paper-citation-record.v1
2503.17682 v2

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 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:55.643156Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 51847302-7e16-4658-a595-1427070a47c5 · inbound

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning cites this paper.

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:32:22.606501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 418727c9-566c-4acd-87f1-fd81820d4ac0 · inbound

Generative RLHF-V: Learning Principles from Multi-modal Human Preference cites this paper.

Generative RLHF-V: Learning Principles from Multi-modal Human Preference Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:55.643156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9942e338-8dd3-41aa-b0c4-7e0716be7eab · inbound

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models cites this paper.

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:15.592961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b05dc424-5d68-43ba-ac7a-a20c44e3dc4b · inbound

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It cites this paper.

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:20.076306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0008580-4fda-476d-8da8-e57453f210b6 · inbound

HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong cites this paper.

HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:38:16.156378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d20002b8-7922-43f0-b393-b2d81a1ec7c8 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 296

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:08.332286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4857d8f9-2705-4462-bcc1-a59c1bc3add8 · inbound

Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback cites this paper.

Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:06:04.065399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c3355a2-36aa-4c0f-b4a6-16f7423df480 · inbound

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation cites this paper.

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:08.580932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cdf1b522-e609-4f2c-9da6-e75c104e5caf · inbound

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

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:45:49.560996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12463d47-14de-4efb-95ad-283da661d8d5 · inbound

Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction cites this paper.

Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T10:58:13.586666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1953ddf-e0f4-47b4-bff3-cbaac8f1012e · inbound

Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos cites this paper.

Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-27T10:20:49.295946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0b3aab78-bba6-4d2b-a88a-1c883c5ad23c · inbound

Enhancing LLMs through human feedback: a journey towards self-improvement cites this paper.

Enhancing LLMs through human feedback: a journey towards self-improvement Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T02:23:46.480403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb58766-c462-461b-9165-92440e6ca3cf · inbound

RoCo-ACE: Rollout-Conditioned Online Distillation for Retention-Aware Knowledge Injection cites this paper.

RoCo-ACE: Rollout-Conditioned Online Distillation for Retention-Aware Knowledge Injection Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T11:50:17.171011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.