Paper Citation Record · LEDGER

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

As of 20 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 13 inbound Pith citation observations for arXiv:2411.18363.

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

pith.paper-citation-record.v1
2411.18363 v3

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:19:33.933240Z

measured 113 of 113 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:09:18.613268Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T02:04:26.359777Z

Reference resolution

100 of 107 outbound references displayed

verified exact0
verified fuzzy15
unresolved85
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c49a763-780b-45de-b3ad-724e2f0244e5 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation a70a0432-8b30-45e4-a6bf-1d5a78d5c38d · outbound

This paper cites GPT-4 Technical Report.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding GPT-4 Technical Report

Reference 2

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Observation 32836d25-12f2-4c15-bd69-5d42b3976bb6 · outbound

This paper cites Pixtral 12B.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Pixtral 12B

Reference 3

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Observation d5a42f71-a392-45d9-b2b2-3cbaa805c1f7 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Flamingo: a visual language model for few-shot learning

Reference 4

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Observation b45a4f56-b556-43db-aefb-e2d4b3c3a0e6 · outbound

This paper cites Qwen Technical Report.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Qwen Technical Report

Reference 5

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Observation 71826af8-7568-4bf1-bc9b-ab1544bfae08 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.424647Z

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Observation cb1b61d5-4e9c-4d97-8934-4b7736802cda · outbound

This paper cites Coyo-700m: Image-text pair dataset.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Coyo-700m: Image-text pair dataset

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.430385Z

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Observation 146bd734-fea4-463d-a617-9f530aa56289 · outbound

This paper cites End-to-end object detection with transformers.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding End-to-end object detection with transformers

Reference 8

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Observation 7e8970b8-d77c-4241-8f49-99cdb15e5af5 · outbound

This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

Reference 9

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Observation cca999a6-3ed2-4824-b53a-430952dd752f · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.445705Z

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Observation d68b7adb-325e-42fc-bc3f-ebd6a2762b75 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 11

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Observation db34f812-49d6-4670-9d15-af0173f4aa64 · outbound

This paper cites Pix2seq: A Language Modeling Framework for Object Detection.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Pix2seq: A Language Modeling Framework for Object Detection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.457024Z

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Observation 2eb280a1-fc0d-47e9-82fb-2092ce0e5a12 · outbound

This paper cites Pali: A jointly-scaled multilingual language-image model.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Pali: A jointly-scaled multilingual language-image model

Reference 13

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Observation a1a09cba-1bdc-489f-b76c-7b3de7cdc07a · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 14

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Observation 241ac1b8-5919-4888-9aad-0b3a69b7be11 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Gonzalez, Ion Stoica, and Eric P

Reference 15

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Observation 6f058612-92d3-489e-a933-6acc46081016 · outbound

This paper cites an unresolved cited work.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Unresolved cited work

Reference 16

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Observation 1f6eefa9-d1b1-46b9-b45c-46c7e763d4ca · outbound

This paper cites NVLM: Open Frontier-Class Multimodal LLMs.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding NVLM: Open Frontier-Class Multimodal LLMs

Reference 17

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Observation e7f48ef1-a536-4061-a918-14a515830312 · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 18

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Observation afeebe99-5d8d-4ba4-ae3e-dca7a3a4dbfb · outbound

This paper cites Imagenet: A large-scale hierarchical im- age database.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Imagenet: A large-scale hierarchical im- age database

Reference 19

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Observation b960f285-0db9-488b-8b22-0e20c266cc44 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Reference 20

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Observation a7918d0a-81da-4f83-b4f1-b3a453d2efe6 · outbound

This paper cites An im- age is worth 16x16 words: Transformers for image recog- nition at scale.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding An im- age is worth 16x16 words: Transformers for image recog- nition at scale

Reference 21

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Observation 6bb12e2d-fa7e-40de-a793-2c002d74c98b · outbound

This paper cites The Llama 3 Herd of Models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding The Llama 3 Herd of Models

Reference 22

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Observation 59ca6b0e-b4db-4829-9ad5-b4df2e2e313b · outbound

This paper cites Mme: A comprehensive evaluation benchmark for multimodal large language models, 2024.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Mme: A comprehensive evaluation benchmark for multimodal large language models, 2024

Reference 23

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Observation 0e50e920-6395-4c51-a79f-41d74f7b8f78 · outbound

This paper cites HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

Reference 24

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Observation d89c20cc-76c0-4b01-8c00-e816cebdf990 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Lvis: A dataset for large vocabulary instance segmentation

Reference 25

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Observation 1dbbcd26-de36-43a9-82ee-ad4614138064 · outbound

This paper cites Mask r-cnn.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Mask r-cnn

Reference 26

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Observation 4ee50429-81f4-44da-bb38-b3047538be34 · outbound

This paper cites Icdar2019 com- petition on scanned receipt ocr and information extraction.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Icdar2019 com- petition on scanned receipt ocr and information extraction

Reference 27

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Observation 03ad07f8-1f7b-4ddc-a91e-4d83bd6cd882 · outbound

This paper cites MANTIS: Interleaved Multi-Image Instruction Tuning.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding MANTIS: Interleaved Multi-Image Instruction Tuning

Reference 28

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Observation e8b21873-11d7-4150-9eab-11a29c6f2f12 · outbound

This paper cites T-rex2: Towards generic object detec- tion via text-visual prompt synergy.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding T-rex2: Towards generic object detec- tion via text-visual prompt synergy

Reference 29

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Observation 1c5d74d5-ab14-4d63-a8a2-bdb9adb071da · outbound

This paper cites Referitgame: Referring to objects in pho- tographs of natural scenes.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Referitgame: Referring to objects in pho- tographs of natural scenes

Reference 30

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Observation a964daef-5fd3-44d6-9fe8-982e2ecf46a5 · outbound

This paper cites A diagram is worth a dozen images.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding A diagram is worth a dozen images

Reference 31

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Observation e0fab3ea-1bdd-4494-a132-ab39c3ed0183 · outbound

This paper cites Segment Anything.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Segment Anything

Reference 32

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Observation 7ce005b6-582b-4185-ba00-ebbf54d339f4 · outbound

This paper cites The open images dataset v4: Unified image classifica- tion, object detection, and visual relationship detection at scale.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding The open images dataset v4: Unified image classifica- tion, object detection, and visual relationship detection at scale

Reference 33

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Observation abd9a563-b0ef-4a01-992e-f118bbf77b27 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding LISA: Reasoning Segmentation via Large Language Model

Reference 34

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Observation 3a47fddb-585e-4bde-9989-2ed609e05e5f · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 35

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Observation 206cc295-fd15-4fb3-aad2-fc8a00480be8 · outbound

This paper cites Aria: An Open Multimodal Native Mixture-of-Experts Model.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 36

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 37

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This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 38

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ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Grounded language-image pre-training

Reference 39

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This paper cites Evaluating object hallucination in large vision-language models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Evaluating object hallucination in large vision-language models

Reference 40

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 42

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This paper cites Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

Reference 43

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ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 44

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Observation 245b8a8b-6018-45b7-89fb-3618ebecf326 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Vila: On pre-training for vi- sual language models

Reference 45

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This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C

Reference 46

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Observation 53f9e16a-ded3-4fcd-ae61-c5b315355dbf · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want

Reference 47

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ChatRex: Taming Multimodal LLM for Joint Perception and Understanding SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

Reference 48

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This paper cites Improved Baselines with Visual Instruction Tuning.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Improved Baselines with Visual Instruction Tuning

Reference 49

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ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Visual instruction tuning

Reference 50

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 51

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This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 52

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Observation 054af2fd-d678-4085-9848-0c951120dfd5 · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding MMBench: Is Your Multi-modal Model an All-around Player?

Reference 53

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ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Ocrbench: on the hidden mys- tery of ocr in large multimodal models

Reference 54

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ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Swin transformer: Hierarchical vision transformer using shifted windows

Reference 55

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Observation 51de555d-bcc4-4124-87cf-cc1909032f9a · outbound

This paper cites A convnet for the 2020s.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding A convnet for the 2020s

Reference 56

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This paper cites Towards end-to-end unified scene text detection and layout analysis.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Towards end-to-end unified scene text detection and layout analysis

Reference 57

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 59

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Observation ec05580b-55f9-47b3-8f33-4751a25e6efa · outbound

This paper cites KOSMOS-2.5: A Multimodal Literate Model.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding KOSMOS-2.5: A Multimodal Literate Model

Reference 60

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This paper cites Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Reference 61

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This paper cites Generation and comprehension of unambiguous object descriptions.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Generation and comprehension of unambiguous object descriptions

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.327069Z

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Observation 86f407a5-eaf7-469a-849a-5252c052f3ba · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Reference 63

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Observation fa6d93a9-769d-48be-b490-20f46a7cd755 · outbound

This paper cites Gpt-4v(ision) system card.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Gpt-4v(ision) system card

Reference 64

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Observation 25cd984b-fce6-4e41-a3ee-6e93e8620074 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 65

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Observation dadb70b8-5652-4eaa-97d5-19a2cab5ec6b · outbound

This paper cites Perceptiongpt: Effectively fusing visual perception into llm.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Perceptiongpt: Effectively fusing visual perception into llm

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.299413Z

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Observation 695c8c57-982f-45f6-afe7-95b205ba2046 · outbound

This paper cites Learning transferable visual models from natural language supervision.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Learning transferable visual models from natural language supervision

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.283423Z

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Observation 196b3d6d-c0c1-4c75-a44e-858f16d654ef · outbound

This paper cites Paco: Parts 11 and attributes of common objects.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Paco: Parts 11 and attributes of common objects

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.267026Z

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Observation f75b2626-cb3c-48ef-abd7-476173ae6985 · outbound

This paper cites Glamm: Pixel grounding large multimodal model.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Glamm: Pixel grounding large multimodal model

Reference 69

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Observation 3465c83b-5709-461b-82d7-7b104d721219 · outbound

This paper cites Girshick, and Jian Sun.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Girshick, and Jian Sun

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.241138Z

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Observation e233440e-e0bd-4320-8839-c0e8c2d4740c · outbound

This paper cites Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Reference 71

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Observation e23fd7e0-2519-4635-9a3c-4bd43e84d4b5 · outbound

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ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Generalized in- tersection over union: A metric and a loss for bounding box regression

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.775985Z

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Observation 2df2c1ad-5e8f-4522-af0d-e33ed65c0154 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.216046Z

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Observation b64f5af3-eca8-406c-b2d0-db2b54e7940a · outbound

This paper cites CrowdHuman: A Benchmark for Detecting Human in a Crowd.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding CrowdHuman: A Benchmark for Detecting Human in a Crowd

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.786399Z

Source-reported events for the cited work

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Observation 12e98316-3883-4cfc-9989-d427f362307c · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Objects365: A large-scale, high-quality dataset for object detection

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.200779Z

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Observation df506477-f157-4d6d-9192-7b5a093d8d76 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.797984Z

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Observation 0db5c0a3-e366-42fc-a107-a04da1d506f9 · outbound

This paper cites Towards vqa models that can read.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Towards vqa models that can read

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.184568Z

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Observation 9e0afbd2-cbf9-4e2d-84d4-688df13d5798 · outbound

This paper cites Hashimoto.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Hashimoto

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.168651Z

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Observation e0f781fb-9217-4ebc-a702-0b76aa3adebc · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Gemini: A Family of Highly Capable Multimodal Models

Reference 79

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Observation c29c3f7b-339a-4bcb-9a09-81316e169f4e · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Internlm: A multilingual language model with progressively enhanced capabilities

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.819373Z

Source-reported events for the cited work

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Observation f51eaa3d-f744-476d-89b1-d1ffcf935919 · outbound

This paper cites Cambrian-1: A fully open, vision-centric ex- ploration of multimodal llms.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Cambrian-1: A fully open, vision-centric ex- ploration of multimodal llms

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.142772Z

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Observation beef477f-9c6c-46d8-a5a7-a21083fb81e4 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.829556Z

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Unavailable: canonical work link unavailable.

Observation b2c85656-9442-40bf-807e-5c882275d847 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding LLaMA: Open and Efficient Foundation Language Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.834775Z

Source-reported events for the cited work

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Observation bf20ef6e-2ef1-4fba-bd1e-9ebc317301a6 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 84

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Source-reported events for the cited work

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Observation 30464c58-6124-4646-ada6-e74e40fd90e5 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.844286Z

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Unavailable: canonical work link unavailable.

Observation 585288b8-058f-4bc6-a95a-b5a3a7a589b7 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding CogVLM: Visual Expert for Pretrained Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.850035Z

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Observation b495736b-61db-4173-a1ef-e5670de323a0 · outbound

This paper cites VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.855529Z

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Observation 8dde6206-e697-4acf-959d-817503224947 · outbound

This paper cites Florence-2: Advancing a unified representation for a va- riety of vision tasks.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Florence-2: Advancing a unified representation for a va- riety of vision tasks

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.128195Z

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Observation 33b7389b-5513-4a1d-9481-c34d3bcb9e98 · outbound

This paper cites LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

Reference 89

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Unavailable: canonical work link unavailable.

Observation b24a736c-29db-4215-baa7-c81b097b72d5 · outbound

This paper cites LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Reference 90

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Observation cead7cea-608a-445e-9452-62dd927f3976 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding xgen-mm (blip-3): A family of open large multimodal models

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.877696Z

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Observation 2e92401f-df96-4bea-9e3c-f3172154ebf9 · outbound

This paper cites Qwen2.5 Technical Report.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Qwen2.5 Technical Report

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.883200Z

Source-reported events for the cited work

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Observation 4b81d476-9c47-421c-a7eb-51cd12d2db36 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.888396Z

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Observation c2e09333-7e0d-484b-959b-c8401490223e · outbound

This paper cites Ferret: Refer and Ground Anything Anywhere at Any Granularity.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.893651Z

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Observation 70984f70-42c8-4e13-93e4-30c46108de17 · outbound

This paper cites Modeling context in referring expres- sions.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Modeling context in referring expres- sions

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.112385Z

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Observation 76703c34-0d78-4813-a605-f8e98b935373 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 96

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Unavailable: canonical work link unavailable.

Observation c24e2520-c16b-4e88-8344-794e34c4f095 · outbound

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

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Osprey: Pixel understanding with visual instruction tuning

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.094725Z

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Observation 70e6fbe0-9b32-4049-9a34-519dc19d1341 · outbound

This paper cites MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.914045Z

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Unavailable: canonical work link unavailable.

Observation 4f46053d-b3fa-41d8-94e2-129f3ee57a77 · outbound

This paper cites From recognition to cognition: Visual commonsense rea- soning.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding From recognition to cognition: Visual commonsense rea- soning

Reference 99

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Observation ce95c1e9-0208-4384-a744-d0282c005580 · outbound

This paper cites Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring

Reference 100

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Unavailable: canonical work link unavailable.

Observation c28a04c0-5913-4f92-8649-fb0a03a5f1a2 · outbound

This paper cites Griffon: Spelling out all object locations at any granularity with large language models.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding Griffon: Spelling out all object locations at any granularity with large language models

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:19:35.061919Z

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Observation 781524ef-e52a-4a72-8e29-d2400b40ec8f · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

ChatRex: Taming Multimodal LLM for Joint Perception and Understanding DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-12T11:19:33.933240Z

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Pith citing papers

Observation 66437ede-5786-4b06-80fd-7bf12bb9742e · inbound

MedSG-Bench: A Benchmark for Medical Image Sequences Grounding cites this paper.

MedSG-Bench: A Benchmark for Medical Image Sequences Grounding ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 58

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Observation c9de07c2-fa78-4dac-b2cb-26ffb269408d · inbound

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning cites this paper.

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 22

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Observation 7e4fafc4-c40b-4f2c-abba-fae1b630d798 · inbound

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos cites this paper.

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 29

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Observation 21bcd62c-d96f-4fc7-a957-29b10de5adb9 · inbound

RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension cites this paper.

RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 12

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Observation 0a4bef3e-e2f9-4880-8b30-7aaf303fa134 · inbound

Grounding Everything in Tokens for Multimodal Large Language Models cites this paper.

Grounding Everything in Tokens for Multimodal Large Language Models ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 18

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Observation c0b42aca-156c-4d4e-a81d-bc1744630647 · inbound

Robust Grounding with MLLMs Against Occlusion and Small Objects via Language-Guided Semantic Cues cites this paper.

Robust Grounding with MLLMs Against Occlusion and Small Objects via Language-Guided Semantic Cues ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:41:15.238967Z

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Observation 91885753-a2b4-495b-87a1-4de3389b2bfd · inbound

SceneParser: Hierarchical Scene Parsing for Visual Semantics Understanding cites this paper.

SceneParser: Hierarchical Scene Parsing for Visual Semantics Understanding ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:55:04.148592Z

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Observation c321b45e-0f05-445c-9f31-6e0f27040570 · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:55.232665Z

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Observation 0ac54816-6a0b-4701-8b6b-f8cd2e3ab968 · inbound

HKVLM: Faithful Query--Region Binding for Frozen-Detector Visual Grounding cites this paper.

HKVLM: Faithful Query--Region Binding for Frozen-Detector Visual Grounding ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:04:35.951457Z

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Vision as Unified Multimodal Generation cites this paper.

Vision as Unified Multimodal Generation ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 77

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Foundation-Assisted Active Learning for Object Detection Annotation cites this paper.

Foundation-Assisted Active Learning for Object Detection Annotation ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 9

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ReferTrack: Referring Then Tracking for Embodied Visual Tracking cites this paper.

ReferTrack: Referring Then Tracking for Embodied Visual Tracking ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 32

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Scaling Representation Diversity: Modulated Attention and Reconstructive Regularization for Visual Grounding cites this paper.

Scaling Representation Diversity: Modulated Attention and Reconstructive Regularization for Visual Grounding ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 134

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