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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:20.076306Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T01:27:33.123243Z digest=sha256:21da9323a25c996214dfa3dec5bfe608a10bd1af3fbe3a0ecf231ac9d197f5ef

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.

source=arxiv_source observed=2026-08-07T12:40:20.076306Z digest=sha256:1dff5ff071fb75e8fb4cebfa373f84dba7c19bc1b0395cb5ac02f8a4ecc4993e

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.

source=pdf_text observed=2026-08-06T17:38:16.156378Z digest=sha256:c031222f5159212a19aaf2de2fd2be5f01d4129b78a7153c21382a2bd122a258

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.

source=pdf_text observed=2026-08-05T10:39:08.332286Z digest=sha256:5db5a688f8d06d081d869a9da352ce2cba265caced8828aa6544e10e32b71885

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T02:23:20.208976Z digest=sha256:6be86487370a7f52f998fdfccbfdcb70b778cebb0cd1be8400ee3243c2449526

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T17:02:20.836208Z digest=sha256:84177a1998cff9e90790db07083ee564cbe6d8efe6b387e2197d0f71e8eb86b6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T20:16:13.413064Z digest=sha256:24e16bd591a5d81193a97634a2920903359a940011c12a92d1cdad080be63187

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T10:57:40.997128Z digest=sha256:56ff828ebf1710c15131069d75dcedc5972089187dfff8a6f62d15068385e944

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:11:20.767965Z digest=sha256:680ff3e6f9fdf976bea931ba72b04b67c98091f29a6322229595da3941ddbf00

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.

source=pdf_text observed=2026-07-14T02:23:46.480403Z digest=sha256:dfd38fd3a5212aa4be3a64d5893bf0a8f8c98925bd36c6b795463e719f089c06

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.

source=arxiv_source observed=2026-08-02T11:50:17.171011Z digest=sha256:78521dd61e27558fb48288f117871accf3305ca0b555af296f2da948d0bcf22e