Paper Citation Record · LEDGER

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs

As of 21 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 4 inbound Pith citation observations for arXiv:2501.04670.

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

pith.paper-citation-record.v1
2501.04670 v3

Coverage vector

measured 100 of 111 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:31:16.361763Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:37:50.658662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:16:08.251671Z

Reference resolution

100 of 111 outbound references displayed

verified exact3
verified fuzzy18
unresolved79
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90321269-2cf5-45dd-8c30-29769e0f55c9 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.840634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57098b75-34aa-4cda-b4e7-7b1cd06be040 · outbound

This paper cites PaLM 2 Technical Report.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs PaLM 2 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.844794Z

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Observation 6732e9ff-f799-477a-b39e-b17d87135789 · outbound

This paper cites Burst: A benchmark for unifying object recognition, seg- mentation and tracking in video.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Burst: A benchmark for unifying object recognition, seg- mentation and tracking in video

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.848867Z

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Observation 527fb9b8-b1c8-4a4e-82b0-f3680f4ab722 · outbound

This paper cites Qwen Technical Report.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Qwen Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.852616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f0b80c-7712-437f-a486-824eb1d13354 · outbound

This paper cites Reliable feature matching across widely separated views.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Reliable feature matching across widely separated views

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.856343Z

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Observation fbb8b745-e400-45a6-94c5-659900ae7d70 · outbound

This paper cites Meyer, Yuning Chai, Dennis Park, and Yong Jae Lee.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Meyer, Yuning Chai, Dennis Park, and Yong Jae Lee

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.860053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c640174-16b3-4829-8fc4-693341dedb1f · outbound

This paper cites The wildtrack multi-camera person dataset.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs The wildtrack multi-camera person dataset

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.863608Z

Source-reported events for the cited work

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Observation 1b9a60bd-82cc-4102-8d1a-4d9ae8efb204 · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.867604Z

Source-reported events for the cited work

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Observation 40c53023-fc59-47b8-b972-1b6200e056da · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.871287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa1378a-d473-428b-8b1f-26c93e7e4cd1 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Improved Baselines with Momentum Contrastive Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.874974Z

Source-reported events for the cited work

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Observation 087cd7be-d6e1-4c05-b617-a14ff3b46f4a · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.878718Z

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Observation 98aaa744-62e6-45b3-ba3d-348941031cf1 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.882669Z

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Observation 82313edb-d6a3-40f6-b6e5-7184ac430632 · outbound

This paper cites Xtuner: A toolkit for efficiently fine-tuning llm.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Xtuner: A toolkit for efficiently fine-tuning llm

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.886244Z

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Observation f9d028b7-1faa-4f7d-a738-ad5e6cfcf9f3 · outbound

This paper cites SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:31:17.057427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b795c884-64ee-4230-9b90-17439a52ab77 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.893065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aafa7cf-3f03-411d-80f3-bdd9d80f9245 · outbound

This paper cites Mose: A new dataset for video object segmentation in complex scenes.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Mose: A new dataset for video object segmentation in complex scenes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.896518Z

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Observation b2a94e46-8837-4505-ab0f-dd70501d4c16 · outbound

This paper cites Lasot: A high-quality benchmark for large-scale single ob- ject tracking.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Lasot: A high-quality benchmark for large-scale single ob- ject tracking

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.900444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78bebe6-111c-4bc4-96c5-e946d1114c2e · outbound

This paper cites Qd- track: Quasi-dense similarity learning for appearance-only multiple object tracking.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Qd- track: Quasi-dense similarity learning for appearance-only multiple object tracking

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.904698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 991cd2d1-5a1d-44c3-bd66-a47b2a72408a · outbound

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

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.908538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed753e0f-cf65-4505-83dc-470f8ffcd8d8 · outbound

This paper cites VITA: Towards Open-Source Interactive Omni Multimodal LLM.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs VITA: Towards Open-Source Interactive Omni Multimodal LLM

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.912278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 998dafa7-9ee5-4994-a3f6-249f9c42bce6 · outbound

This paper cites Blink: Multimodal large language models can see but not perceive.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Blink: Multimodal large language models can see but not perceive

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.915924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af339474-5a8b-4b80-b5bb-cd653ae9e5e7 · outbound

This paper cites Stere- oscan: Dense 3d reconstruction in real-time.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Stere- oscan: Dense 3d reconstruction in real-time

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.918863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68f9d8b3-3e6b-4d6d-b7f6-c5f60966aeec · outbound

This paper cites Making the V in VQA matter: El- evating the role of image understanding in Visual Question Answering.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Making the V in VQA matter: El- evating the role of image understanding in Visual Question Answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.921944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08afac73-5868-419c-91d3-ab286e708614 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Momentum contrast for unsupervised visual rep- resentation learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.924741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c962e9bc-be23-421b-a005-27e52580685c · outbound

This paper cites 3d-llm: Inject- ing the 3d world into large language models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs 3d-llm: Inject- ing the 3d world into large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.927784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 655bffd6-4962-4a33-b1d2-cfaaea2ab7e4 · outbound

This paper cites Multi- view detection with feature perspective transformation.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Multi- view detection with feature perspective transformation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.931189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f294d1d9-4e9d-4981-af11-cfb6c427cd19 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs LoRA: Low-Rank Adaptation of Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.934370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c70a6cd-802c-4b89-891a-bbdc4fce25c7 · outbound

This paper cites Global instance tracking: Locating target more like hu- mans.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Global instance tracking: Locating target more like hu- mans

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.937479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8e7c75-b2ca-4604-b241-27ee36627fd3 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.941044Z

Source-reported events for the cited work

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Observation 296f46c4-2cf7-4626-894a-f6ffc0a7ef99 · outbound

This paper cites Segment Anything.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Segment Anything

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.947653Z

Source-reported events for the cited work

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Observation ab6b5c80-ea47-4e38-ab44-fadae128fc91 · outbound

This paper cites LISA: Reasoning Segmentation via Large Language Model.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs LISA: Reasoning Segmentation via Large Language Model

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.951403Z

Source-reported events for the cited work

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Observation c41efef0-c3eb-49d1-978d-7ad836b74b1e · outbound

This paper cites Obelics: An open web-scale filtered dataset of interleaved image-text documents.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Obelics: An open web-scale filtered dataset of interleaved image-text documents

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.955297Z

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Observation 6f37bc49-f74a-463b-9316-54397e374662 · outbound

This paper cites NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.958685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19835f3a-e59f-45cf-b729-4f0f20fd8f72 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs LLaVA-OneVision: Easy Visual Task Transfer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.962372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f28594-1b24-47e6-a3d8-0760c86a7a36 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.965901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ad67d0-7913-4830-9102-da39db3f9fd5 · outbound

This paper cites Matching anything by segmenting anything.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Matching anything by segmenting anything

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.969478Z

Source-reported events for the cited work

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Observation 3226db4b-1b34-46be-b75e-c589c6d76390 · outbound

This paper cites Video k-net: A simple, strong, and unified baseline for video segmentation.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Video k-net: A simple, strong, and unified baseline for video segmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.973849Z

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Unavailable: canonical work link unavailable.

Observation 4ad672a7-db4e-4e7a-a66d-bd1b09229616 · outbound

This paper cites Tube-link: A flexible cross tube framework for universal video seg- mentation.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Tube-link: A flexible cross tube framework for universal video seg- mentation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.977541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba73303b-7d66-415b-a8be-687f776215c7 · outbound

This paper cites Omg-seg: Is one model good enough for all segmen- tation? In CVPR, 2024.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Omg-seg: Is one model good enough for all segmen- tation? In CVPR, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.981162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93be29d1-cf5f-4e59-bd35-17fcb218fd6f · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Evaluating Object Hallucination in Large Vision-Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.984902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6252404-e2de-48ef-9d72-f74273b99ac4 · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.988827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c079c19d-878a-425c-87cd-a28d0ca3fe4e · outbound

This paper cites Llama-vid: An image is worth 2 tokens in large language models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Llama-vid: An image is worth 2 tokens in large language models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.993094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40e096ad-5d63-4d26-8431-b37d1d41f4d0 · outbound

This paper cites Mon- key: Image resolution and text label are important things for large multi-modal models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Mon- key: Image resolution and text label are important things for large multi-modal models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:15.996833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fbc29ad-f07b-41d6-bf44-229c0d1ae69e · outbound

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

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.000594Z

Source-reported events for the cited work

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Observation 337fc6be-176a-4f92-b306-3550a81e47ae · outbound

This paper cites Vila: On pre-training for vi- sual language models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Vila: On pre-training for vi- sual language models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.005826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09028879-9b50-4a91-9990-f96ac8d269d4 · outbound

This paper cites MM-VID: Advancing Video Understanding with GPT-4V(ision).

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs MM-VID: Advancing Video Understanding with GPT-4V(ision)

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.009332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61998029-218c-4659-9462-e1c4b65bd4bd · outbound

This paper cites Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.016974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292a7dbe-79ce-45b2-baa7-06880edaf48b · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Improved baselines with visual instruction tuning, 2023

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.022233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 081265e9-c841-44e9-b891-b5c739e4c192 · outbound

This paper cites Visual Instruction Tuning.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Visual Instruction Tuning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.038887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a912c0c-492a-4a84-9d69-346f68122dbe · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Improved Baselines with Visual Instruction Tuning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.090081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bef9819-8ab3-4451-8d33-f350124ceb12 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.146400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f675420-c447-4db8-ae8e-8ca49c964033 · outbound

This paper cites Mmbench: Is your multi- modal model an all-around player? In ECCV, 2024.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Mmbench: Is your multi- modal model an all-around player? In ECCV, 2024

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.167905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c77256-dca2-4127-bd1b-abe53040b7c9 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.172222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb87a1a-2332-4769-8d31-8c1dc71dc8c7 · outbound

This paper cites Ovis: Structural Embedding Alignment for Multimodal Large Language Model.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Ovis: Structural Embedding Alignment for Multimodal Large Language Model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.176720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b2450fe-3d50-4125-b613-72a606a21916 · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.180774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ebe05e8-b82c-4828-ae81-e366e7491c40 · outbound

This paper cites MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.185082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7748671-a59c-48c5-8ab4-38f160ab2934 · outbound

This paper cites Large-scale video panoptic segmentation in the wild: A benchmark.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Large-scale video panoptic segmentation in the wild: A benchmark

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.189136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82bceed4-766d-4f3b-b424-12ac6e0820a8 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs MOT16: A Benchmark for Multi-Object Tracking

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.192724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bce8364c-c7ea-4525-8f9b-551d991afb5f · outbound

This paper cites GPT-4 Technical Report.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs GPT-4 Technical Report

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.196661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e445485-bdbf-41f9-809f-4d303609d25e · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs DINOv2: Learning Robust Visual Features without Supervision

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.200512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f704c7-6405-4818-9e84-6f40d598c3c7 · outbound

This paper cites VastTrack: Vast Category Visual Object Tracking.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs VastTrack: Vast Category Visual Object Tracking

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.204511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d55902-a0ff-41ff-a7a7-43f10da9bb6e · outbound

This paper cites Occluded video instance segmentation: A benchmark.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Occluded video instance segmentation: A benchmark

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.208465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb51cf99-ca08-4d5d-85d9-fa50e9f7849b · outbound

This paper cites Chatvtg: Video temporal grounding via chat with video dialogue large language models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Chatvtg: Video temporal grounding via chat with video dialogue large language models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.211980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d706e75-afce-498b-ab60-d015d56c5b6b · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Learn- ing transferable visual models from natural language super- vision

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.216340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a038d13-666f-4f43-9206-827a491c6539 · outbound

This paper cites Am-radio: Agglomerative vision foundation model reduce all domains into one.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Am-radio: Agglomerative vision foundation model reduce all domains into one

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.392617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4dd20f79-1bd9-40c9-86b7-ff622992150e · outbound

This paper cites Glamm: Pixel grounding large multimodal model.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Glamm: Pixel grounding large multimodal model

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.382001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation acaa19dc-91b8-4b4c-8d6f-7a9a736a1174 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs SAM 2: Segment Anything in Images and Videos

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.228898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8093b0b-6d46-4454-a930-67eba09d1e5f · outbound

This paper cites Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.232974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e62f27-e382-42df-a63e-5c2e58abe1f4 · outbound

This paper cites Towards vqa models that can read.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Towards vqa models that can read

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.371336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e04ca02-d7c2-485d-ba2e-3d3bc77af7c3 · outbound

This paper cites Moviechat: From dense token to sparse memory for long video understanding.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Moviechat: From dense token to sparse memory for long video understanding

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.360500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d508a717-b65a-4bbb-b85a-e51aa83eb981 · outbound

This paper cites ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:31:16.760989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 28d53b87-c524-41fd-847e-9e67d4a81f1f · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.249305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 741d05d3-ed3a-43a4-b5c6-86c6c6eef009 · outbound

This paper cites Internlm: A multilingual language model with progressively enhanced capabilities, 2023.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Internlm: A multilingual language model with progressively enhanced capabilities, 2023

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.349620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 70bfd6b4-b1e2-45ab-8335-0f85daad112a · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.256385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a3ebcb-727b-4ba6-a42a-a9f142c12e59 · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.337790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1038f15-88fa-4e47-91c3-82bf4777c9d0 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.267385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff64e833-3947-4420-9219-c3f1ecca0f15 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.270532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cddff9e9-2f88-41a1-88f0-c03453586124 · outbound

This paper cites Long-term tracking in the wild: A benchmark.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Long-term tracking in the wild: A benchmark

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.327310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d42da109-7df7-40f7-bff1-cb300db98040 · outbound

This paper cites Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.276918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10237edd-c20c-49b6-8230-70466c8f5a45 · outbound

This paper cites Ov-vis: Open-vocabulary video instance seg- mentation.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Ov-vis: Open-vocabulary video instance seg- mentation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.317369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b3e831b-1d01-41c5-82b8-b4eb10e74db0 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.284252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1767ed95-8310-40fd-8c48-e2186ab2746a · outbound

This paper cites Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.288193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f335d46-a268-4bc5-9f39-8e83f6b3e7bc · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.307449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d407407d-f374-4227-96b1-de8c707083f1 · outbound

This paper cites Con- vnext v2: Co-designing and scaling convnets with masked autoencoders.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Con- vnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.296575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f71c8b3-5499-45a5-afa6-0eb30d4763b3 · outbound

This paper cites In defense of online models for video in- stance segmentation.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs In defense of online models for video in- stance segmentation

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.286366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d33eb56b-533a-47a9-ad21-f925e4066063 · outbound

This paper cites ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:31:16.683943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16d49c21-66b4-4731-ba08-7972d6572549 · outbound

This paper cites Pointllm: Empowering large language models to understand point clouds.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Pointllm: Empowering large language models to understand point clouds

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.275803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db653ac8-98b8-4151-a588-ddc956c61c2f · outbound

This paper cites xgen-mm (blip-3): A family of open large multimodal models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs xgen-mm (blip-3): A family of open large multimodal models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.316206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d8533a-d74d-4fc6-9d86-fafc7586d619 · outbound

This paper cites Towards grand unification of object tracking.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Towards grand unification of object tracking

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.264269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66396e52-a2d5-4f24-a4e7-6a73965e386f · outbound

This paper cites Universal instance perception as object discovery and retrieval.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Universal instance perception as object discovery and retrieval

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.253341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa0dda1e-ef11-48f1-93d8-57b02bde466b · outbound

This paper cites Qwen2 Technical Report.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Qwen2 Technical Report

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.328625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4865195-a39c-45e2-8cd1-a52f834ee2c4 · outbound

This paper cites Video instance segmentation.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Video instance segmentation

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.242680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb206a06-e5a0-4e86-87c7-d27abfecece4 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.337149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc93b8b2-4ade-4062-ad9d-44bd2c7f7811 · outbound

This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.341164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c73889c-c16d-4e12-81cd-b7ad9e9f7d66 · outbound

This paper cites Ctvis: Consistent train- ing for online video instance segmentation.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Ctvis: Consistent train- ing for online video instance segmentation

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.231162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 544897a7-4d45-4c5d-8b9d-c1f9c41dced9 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Yi: Open Foundation Models by 01.AI

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.348265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e86708ae-6156-472b-a81c-37c15e0a4080 · outbound

This paper cites Bdd100k: A diverse driving dataset for heteroge- neous multitask learning.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Bdd100k: A diverse driving dataset for heteroge- neous multitask learning

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.219853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 702b7792-0929-453e-b6a4-259a6ce811b7 · outbound

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

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.354825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ca3cf87-e249-4e75-85ff-31c580730775 · outbound

This paper cites Osprey: Pixel understanding with visual instruction tuning.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Osprey: Pixel understanding with visual instruction tuning

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:17.207662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c8d6adaa-7b91-48ae-b276-bb9dd7ce884c · outbound

This paper cites VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM.

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:16.361763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b1c18b3a-35d8-48a1-9128-c02701f41d19 · inbound

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Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:50.658662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd2f3850-3373-487a-b4ea-3993548ed273 · inbound

Dense360: Dense Understanding from Omnidirectional Panoramas cites this paper.

Dense360: Dense Understanding from Omnidirectional Panoramas Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:56.252708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab53f23-af9c-4c36-83a5-25d31c6b7cc9 · inbound

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MiCo: Multi-image Contrast for Reinforcement Visual Reasoning Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:23.293868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a408e2-9f44-4a31-952e-edf973f705e3 · inbound

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding cites this paper.

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:08.254158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.