Paper Citation Record · LEDGER

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2403.03003.

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

pith.paper-citation-record.v1
2403.03003 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 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 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:54:56.241899Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:37.024796Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 776bfcc4-13b6-44ce-8048-2b0e1629f187 · inbound

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:58:59.148522Z

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 479d4a04-a8e8-44c7-89c6-c9552dd96ba4 · inbound

EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering cites this paper.

EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T12:54:56.241899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d0232be-36ae-4f25-a436-a166fe6a183e · inbound

Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models cites this paper.

Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:46.509499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f9db7db-44f9-475e-9bfc-ce67c36f08ea · inbound

CyberV: Cybernetics for Test-time Scaling in Video Understanding cites this paper.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.176832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f46ba898-242d-4dcc-a67e-660f1cd1d0a9 · inbound

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs cites this paper.

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:20:31.837013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56555408-5b6c-498d-a63f-ba3f12f10b05 · inbound

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models cites this paper.

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:31.688789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6d7fd3-13bc-4b76-952b-ad5ea10882ba · inbound

Dense360: Dense Understanding from Omnidirectional Panoramas cites this paper.

Dense360: Dense Understanding from Omnidirectional Panoramas Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:52.717672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c50d509-3051-4a26-a553-5419dcc3eb98 · inbound

Reinforcing VLMs to Use Tools for Detailed Visual Reasoning Under Resource Constraints cites this paper.

Reinforcing VLMs to Use Tools for Detailed Visual Reasoning Under Resource Constraints Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:50.441648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 771b976f-f12b-4fb9-b996-ba86b6d8470f · inbound

DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World cites this paper.

DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:40.606698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0870f533-a5ce-4bec-b390-43a3a9d4e9ab · inbound

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs cites this paper.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:45.018551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea5201b-43bc-4e53-925d-97fcc6f8ebe8 · inbound

SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement cites this paper.

SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:07.312239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff3c3d0-80d0-40bb-9d61-d79f4b14c792 · inbound

Kwai Keye-VL Technical Report cites this paper.

Kwai Keye-VL Technical Report Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:08.557208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64fb980-aa3b-45df-be78-a21e7f0a2fe3 · inbound

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance cites this paper.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:02.794185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 382d78d9-c7aa-49df-baa3-9797b2cf1ffb · inbound

LLaPa: A Vision-Language Model Framework for Counterfactual-Aware Procedural Planning cites this paper.

LLaPa: A Vision-Language Model Framework for Counterfactual-Aware Procedural Planning Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:21:47.820050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f92453-e9e4-4bf9-8fd9-dafccf4c7bdc · inbound

A Training-Free, Task-Agnostic Framework for Enhancing MLLM Performance on High-Resolution Images cites this paper.

A Training-Free, Task-Agnostic Framework for Enhancing MLLM Performance on High-Resolution Images Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:40:40.230169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f625dc8-cdfc-42c1-9448-9668a4a65cfd · inbound

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models cites this paper.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:57.463091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a662a34-b84c-4208-82ba-1679f9af911a · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:58:59.211532Z

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 4a4d3bcf-c754-407e-90e5-db416ee141c3 · inbound

Kwai Keye-VL 1.5 Technical Report cites this paper.

Kwai Keye-VL 1.5 Technical Report Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T12:28:26.680272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9fae99-2fcc-43ea-90d7-e24bf41d54fc · inbound

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization cites this paper.

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T10:37:24.213930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d4fa2c5-97c5-4a3a-ac41-3c84ed8ea622 · inbound

ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling cites this paper.

ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:58:25.587093Z

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 31968c7c-57bc-4110-afea-fb5180460cad · inbound

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models cites this paper.

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:52.974101Z

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 f5ab41ee-f22c-4eaf-a99c-796d81535f0d · inbound

From Attenuation to Attention: Variational Information Flow Manipulation for Fine-Grained Visual Perception cites this paper.

From Attenuation to Attention: Variational Information Flow Manipulation for Fine-Grained Visual Perception Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:36:02.563120Z

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 d7e78842-bf47-44bf-b04b-89513cee8a1e · inbound

UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing cites this paper.

UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:55:28.929452Z

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 3a711b48-abd4-4610-b541-3cef14ebaf95 · inbound

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.116103Z

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 2189009a-8efa-45d0-a5fa-61956e228177 · inbound

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T16:10:02.004034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6294fd61-bcca-4fd7-947e-787f214c9949 · inbound

VaaWIT: Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Translation cites this paper.

VaaWIT: Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Translation Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:34:40.279432Z

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 8dba0300-11ef-4796-891a-62114535752d · inbound

Beyond Encoder Accumulation: Measuring Encoder Roles in Multi-Encoder VLMs cites this paper.

Beyond Encoder Accumulation: Measuring Encoder Roles in Multi-Encoder VLMs Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:26.520798Z

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 84f4dd75-9489-49f0-af22-a9d0a2a86fb0 · inbound

Kwai Keye-VL-2.0 Technical Report cites this paper.

Kwai Keye-VL-2.0 Technical Report Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:27:37.026443Z

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 44400a52-b8cf-4792-98e7-05d0ca7b99e1 · inbound

HAFI-VLM: A Frequency Perspective for Diagnosing and Enhancing Visual Perception in Vision-Language Models cites this paper.

HAFI-VLM: A Frequency Perspective for Diagnosing and Enhancing Visual Perception in Vision-Language Models Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T14:48:44.720562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.