Paper Citation Record · LEDGER

Multimodal Instruction Tuning with Hybrid State Space Models

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2411.08840.

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

pith.paper-citation-record.v1
2411.08840 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:21:31.276109Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy4
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4a1a8b6-d1a1-42d3-8707-fc29bd1b28b7 · outbound

This paper cites More specifically, we dynamically match the optimal aspect ratio from a pre-defined set of aspect ratios.

Multimodal Instruction Tuning with Hybrid State Space Models More specifically, we dynamically match the optimal aspect ratio from a pre-defined set of aspect ratios

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:21:31.882011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 001472b2-f566-40b5-b1e3-d5030bd4ffe4 · outbound

This paper cites InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.

Multimodal Instruction Tuning with Hybrid State Space Models InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.157370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142eba1e-b3b4-41f4-a772-c423b5157bee · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Multimodal Instruction Tuning with Hybrid State Space Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.164588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af7160a4-22f0-41d1-b35b-6272f9fff9e0 · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Multimodal Instruction Tuning with Hybrid State Space Models Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.195621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5578964-dc53-41e4-a039-6108e00a76bb · outbound

This paper cites Decoupled Weight Decay Regularization.

Multimodal Instruction Tuning with Hybrid State Space Models Decoupled Weight Decay Regularization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.201755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad92f513-c98b-40e1-af4f-49b289e651c4 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Multimodal Instruction Tuning with Hybrid State Space Models MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.208152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c88423f-f7fb-41a1-9612-d905940e17da · outbound

This paper cites Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

Multimodal Instruction Tuning with Hybrid State Space Models Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.214170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6716bf1-354e-4cdc-9498-48cb07466df0 · outbound

This paper cites MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Multimodal Instruction Tuning with Hybrid State Space Models MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.226420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95542b91-fafe-459b-b498-accacdcdc2e2 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Multimodal Instruction Tuning with Hybrid State Space Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.232816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d23893-0e01-46ba-9887-341cb2ad38ee · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

Multimodal Instruction Tuning with Hybrid State Space Models CogVLM: Visual Expert for Pretrained Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.238700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0d15deb-c9c8-4ac0-b63d-6ea572fc1d9e · outbound

This paper cites Jun Xu, Tao Mei, Ting Yao, and Yong Rui.

Multimodal Instruction Tuning with Hybrid State Space Models Jun Xu, Tao Mei, Ting Yao, and Yong Rui

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.245629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9b1e8e-77b6-4105-8b12-dbc809a0b116 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

Multimodal Instruction Tuning with Hybrid State Space Models MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.260276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4989d8fa-ab77-4f91-9f8f-634b06f8d027 · outbound

This paper cites Video-llama: An instruction-tuned audio-visual language model for video understanding.

Multimodal Instruction Tuning with Hybrid State Space Models Video-llama: An instruction-tuned audio-visual language model for video understanding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:21:31.910068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b51e270-0819-4985-b7db-2b6c60a43f96 · outbound

This paper cites Licheng Yu, Patrick Poirson, Shan Yang, Alexander C Berg, and Tamara L Berg.

Multimodal Instruction Tuning with Hybrid State Space Models Licheng Yu, Patrick Poirson, Shan Yang, Alexander C Berg, and Tamara L Berg

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:21:31.933268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd98e160-5018-4e77-874c-99b88dc14132 · outbound

This paper cites OtterHD: A High-Resolution Multi-modality Model.

Multimodal Instruction Tuning with Hybrid State Space Models OtterHD: A High-Resolution Multi-modality Model

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.183098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5f66227-56ea-4375-98be-376e58cebb61 · outbound

This paper cites A diagram is worth a dozen images.

Multimodal Instruction Tuning with Hybrid State Space Models A diagram is worth a dozen images

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.177235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1de71c57-d720-4808-a494-35eb29de45a8 · outbound

This paper cites Chartqa: A bench- mark for question answering about charts with visual and logical reasoning.

Multimodal Instruction Tuning with Hybrid State Space Models Chartqa: A bench- mark for question answering about charts with visual and logical reasoning

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:21:31.952091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 272e81ab-a02a-4c4b-a2c1-78a7eb4e10a4 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Multimodal Instruction Tuning with Hybrid State Space Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.171280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be1c1a8-d2c4-4693-b890-d6e2937923ed · outbound

This paper cites CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts.

Multimodal Instruction Tuning with Hybrid State Space Models CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.189198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 006412cd-00d2-4ff4-8d96-09bfdd895ee3 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Multimodal Instruction Tuning with Hybrid State Space Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.144628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c228e30-e9ff-4550-b0a7-45cf1fc1c0d2 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Multimodal Instruction Tuning with Hybrid State Space Models VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T21:21:31.150782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.