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Paper Citation Record · LEDGER

Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.03746.

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

pith.paper-citation-record.v1
2402.03746 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:31:10.642858Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:25:41.390707Z

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 6b7a964c-7182-4033-8d99-3d38e54cd72c · inbound

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance cites this paper.

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:33:15.688660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T17:31:59.030963Z digest=sha256:0b7fe2626f7a43b8c5839b19d1640343da793f3c4a9b03add407d9dc59508801

Observation d7e5fbeb-dd43-4e40-a0fe-5cad899f7f54 · inbound

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models cites this paper.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T13:31:10.642858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:31:10.642858Z digest=sha256:91e559e7459012cb82d694e52b4f96c04e92f1522553760044bd093760f1ef26

Observation bac8d475-881c-409c-a107-3ae2a2ef5b20 · inbound

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback cites this paper.

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T11:09:12.868191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:09:12.868191Z digest=sha256:081728cbce0cf8faf57d00754e5b96f2d96314f6bd25e3ec830095cdce7a6b87

Observation 244a4b93-45c9-4d73-bedf-b8b6ef16fd29 · inbound

Temporal Preference Optimization for Long-Form Video Understanding cites this paper.

Temporal Preference Optimization for Long-Form Video Understanding Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:30.073317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:35:30.073317Z digest=sha256:a1ebf27b7d47ced1740fd4c5f453d99a32e1f2cff88fe324d895c9bfa0f46b43

Observation 9fabc273-b5eb-4b28-a318-29c4073a9a0f · inbound

Unified Reward Model for Multimodal Understanding and Generation cites this paper.

Unified Reward Model for Multimodal Understanding and Generation Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:44:30.834901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T00:44:30.558048Z digest=sha256:c7a5690fbe77c57332a00fd0fa492dfb9786797c9f72c68904f2bb93116cbae2

Observation f3996da9-09bb-4a8f-8bfb-570abc504414 · inbound

ReFoCUS: Reinforcement-guided Frame Optimization for Contextual Understanding cites this paper.

ReFoCUS: Reinforcement-guided Frame Optimization for Contextual Understanding Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:51:25.225828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:25.225828Z digest=sha256:aa4ed7f0e13e17bc348fdbda2f8647d0529d7e00c396f33a90eaa38cfa09d55e

Observation e2dd9dfb-5cdc-44c4-adae-5d950cc26882 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 279

Resolution
unresolved
no resolver link, observed 2026-08-06T14:13:07.285336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:13:07.285336Z digest=sha256:c55c9bb2c13319210db2e2c877e087943a5992e3a73dcbfe295934dda647b033

Observation 103c13cb-73d8-40a6-a73f-d54345f52c5c · inbound

VERTIGO: Visual Preference Optimization for Cinematic Camera Trajectory Generation cites this paper.

VERTIGO: Visual Preference Optimization for Cinematic Camera Trajectory Generation Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:18:17.198125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T21:14:42.021240Z digest=sha256:179c9e8761dfba08bd40c896dc332d3615733d8a48c7e9ce64ac0753b2d2c074

Observation 4d28b137-a65e-400c-b13c-d8dd2b4b9be0 · inbound

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs cites this paper.

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.391957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T05:35:08.200219Z digest=sha256:b886a1bc275f7368b76308d8d4c3355489e2515a94d421e76e382174b3b9041a