Paper Citation Record · LEDGER

HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.13447.

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

pith.paper-citation-record.v1
2403.13447 v1

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

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:33.922548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:44:02.042014Z

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 ff969bf6-1f68-412c-b487-3d4e152c9be7 · inbound

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models cites this paper.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:33.922548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506d5558-cab4-4d7a-9890-c4cdea11294b · inbound

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding cites this paper.

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T10:47:15.111720Z

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.

Observation 8def57ec-fe95-4cf0-a1ba-3bf30e0819d6 · inbound

(Almost) Free Modality Stitching of Foundation Models cites this paper.

(Almost) Free Modality Stitching of Foundation Models HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:23.729881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e73cde8-548d-448d-9ecf-2855e7eb5475 · inbound

LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation cites this paper.

LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 229

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:08.011056Z

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.

Observation fcc84857-c64d-40d4-b97a-b21dd9fa491d · inbound

CrossView Suite: Harnessing Cross-view Spatial Intelligence of MLLMs with Dataset, Model and Benchmark cites this paper.

CrossView Suite: Harnessing Cross-view Spatial Intelligence of MLLMs with Dataset, Model and Benchmark HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:38:12.296649Z

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.

Observation b99a429e-11ea-4bb5-b4cf-7b8d25016fed · inbound

EgoCoT-Bench: Benchmarking Grounded and Verifiable Operation-Centric Chain of Thought Reasoning for MLLMs cites this paper.

EgoCoT-Bench: Benchmarking Grounded and Verifiable Operation-Centric Chain of Thought Reasoning for MLLMs HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:22.300589Z

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.

Observation 406d8b95-a340-458f-b6c6-527213da1d84 · inbound

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis cites this paper.

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:09:51.732871Z

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.

Observation 8cf38b1b-8881-4395-b705-e38bf45b5cdd · inbound

InstructSAM: Segment Any Instance with Any Instructions cites this paper.

InstructSAM: Segment Any Instance with Any Instructions HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:44:02.043609Z

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.

Observation 18329300-22f7-42bb-85e4-0dc8030b575e · inbound

VisualThink-VLA: Visual Intermediate Reasoning for Effective and Low-Latency Vision-Language-Action Policies cites this paper.

VisualThink-VLA: Visual Intermediate Reasoning for Effective and Low-Latency Vision-Language-Action Policies HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:13:14.673968Z

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.