NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning | Paper Citation Record

Observation d6639aa5-f542-4942-8658-4114c6c30a7d · outbound

This paper cites Words Aren’t Enough, Their Or- der Matters: On the Robustness of Grounding Visual Refer- ring Expressions.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Words Aren’t Enough, Their Or- der Matters: On the Robustness of Grounding Visual Refer- ring Expressions

Reference 1

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Observation bcc7def2-ce42-4eba-ba17-dfc6f8a45a74 · outbound

This paper cites Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sa- hand Sharifzadeh, Mikołaj Bi ´nkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sa- hand Sharifzadeh, Mikołaj Bi ´nkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.893800Z

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Observation b6defd9b-b9dc-44e9-83a4-fbaccbb86a99 · outbound

This paper cites Neuro-Symbolic Visual Reasoning: Disentangling.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Neuro-Symbolic Visual Reasoning: Disentangling

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.879277Z

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Observation 058c88b8-f54a-4f49-ae26-c407b353a43e · outbound

This paper cites Qwen2.5-VL Technical Report.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Qwen2.5-VL Technical Report

Reference 4

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Observation 1fc24f05-2638-4ebb-9139-ceb4c5f19d45 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Constitutional AI: Harmlessness from AI Feedback

Reference 5

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Observation b7463ed9-a233-4a9a-b950-a44f74d3e711 · outbound

This paper cites Language Models are Few-Shot Learners.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Language Models are Few-Shot Learners

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.863541Z

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Observation 31dd632b-0b6e-4719-9afc-503ba9145641 · outbound

This paper cites SpatialVLM: Endow- ing Vision-Language Models with Spatial Reasoning Capa- bilities.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning SpatialVLM: Endow- ing Vision-Language Models with Spatial Reasoning Capa- bilities

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.847163Z

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Observation 59907a97-ae24-46fb-a19a-a9470ceb1a22 · outbound

This paper cites UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathemat- ical Expression.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathemat- ical Expression

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.829752Z

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Observation b8063a8f-5f6e-456f-923a-12b6e79e4f1e · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.117180Z

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Observation c89b175b-0b3c-4705-bb6c-33462768bc20 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.813610Z

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Observation 9b161f01-49b7-40e2-9338-50d4c7ec2563 · outbound

This paper cites YOLO-World: Real-Time Open-V ocabulary Object Detection.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning YOLO-World: Real-Time Open-V ocabulary Object Detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.796691Z

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Observation 11a1c6fb-c042-4573-8190-0bd4794905c6 · outbound

This paper cites an unresolved cited work.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Unresolved cited work

Reference 12

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Observation 31a371a9-7fde-4fc3-a3de-acc4ea461166 · outbound

This paper cites SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.764754Z

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Observation 673e0e28-8bfe-43ea-9e43-9ae2b3e79906 · outbound

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

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning InstructBLIP: Towards General- purpose Vision-Language Models with Instruction Tuning,

Reference 14

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Observation f28592fc-8cc2-47b2-80ae-43541ac96b98 · outbound

This paper cites ProbLog: a probabilistic prolog and its application in link discovery.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning ProbLog: a probabilistic prolog and its application in link discovery

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.737699Z

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Observation 6d7a8aeb-fb7e-4485-b387-d0195e7c062d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

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Observation 2dd95166-f5ec-42d6-bc57-471da1c52eaf · outbound

This paper cites Vision-Language Transformer and Query Generation for Re- ferring Segmentation.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Vision-Language Transformer and Query Generation for Re- ferring Segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.722690Z

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Observation 858a74b3-8f84-4879-ba2b-612389f6eada · outbound

This paper cites The Llama 3 Herd of Models, 2024.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning The Llama 3 Herd of Models, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.706289Z

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Observation 7bf0417c-9e0d-41bb-9fa5-2ef9f4a6b56c · outbound

This paper cites Visual Program- ming: Compositional Visual Reasoning Without Training.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Visual Program- ming: Compositional Visual Reasoning Without Training

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.691404Z

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Observation cc9040eb-c2f4-44b0-b399-6eb28f0f04da · outbound

This paper cites Video OWL-ViT: Temporally-consistent Open-world Localization in Video.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Video OWL-ViT: Temporally-consistent Open-world Localization in Video

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.674438Z

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Observation eafc050e-a398-4b8a-ad93-d9e9b54e5424 · outbound

This paper cites ReferItGame: Referring to Objects in Pho- tographs of Natural Scenes.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning ReferItGame: Referring to Objects in Pho- tographs of Natural Scenes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.658492Z

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Observation b7a9271c-8b80-445a-846e-cc548993ec8e · outbound

This paper cites HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.640787Z

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Observation 0066eba5-fccc-4e59-a488-e583db03f4d7 · outbound

This paper cites Segment Anything.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Segment Anything

Reference 23

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Observation a6bbe0b8-3650-4a0c-9f28-0bfdfeed0284 · outbound

This paper cites LISA: Reasoning Seg- mentation via Large Language Model.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning LISA: Reasoning Seg- mentation via Large Language Model

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.607109Z

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Observation 635c4a1d-3db7-4901-aa9a-a9a9be8a92fa · outbound

This paper cites Otter: A Multi-Modal Model with In-Context Instruction Tuning.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Otter: A Multi-Modal Model with In-Context Instruction Tuning

Reference 25

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Observation e2ee7a45-9a72-42d3-ad53-d822732f5b3c · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.588928Z

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Observation 4f29b02a-279f-4de1-bdd0-4a74d9057284 · outbound

This paper cites Grounded Language-Image Pre-Training.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Grounded Language-Image Pre-Training

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.573052Z

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Observation 7f14091b-929b-42ed-8698-4aa5b43c44fa · outbound

This paper cites Scallop: A Lan- guage for Neurosymbolic Programming.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Scallop: A Lan- guage for Neurosymbolic Programming

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.557753Z

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Observation 16008e4b-fcd4-43e3-9578-ba5edafa03e9 · outbound

This paper cites GRES: Gen- eralized Referring Expression Segmentation.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning GRES: Gen- eralized Referring Expression Segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.542239Z

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Observation 7219750f-7efb-4088-aa01-9cdaaea59751 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Improved Baselines with Visual Instruction Tuning

Reference 30

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Source-reported events for the cited work

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Observation b465832c-150d-45c4-8ea4-17b23d782d85 · outbound

This paper cites Visual Instruction Tuning.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Visual Instruction Tuning

Reference 31

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Observation 28ffe688-f29a-4dde-a1db-792d5e1e5c62 · outbound

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

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.526504Z

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Observation 8a0f35a8-5794-414c-979a-45d5f353eff8 · outbound

This paper cites Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.510559Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19f2f243-e1c1-4c2e-a7c1-cd2090574d27 · outbound

This paper cites Multi-Task Collabora- tive Network for Joint Referring Expression Comprehension and Segmentation.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Multi-Task Collabora- tive Network for Joint Referring Expression Comprehension and Segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.493566Z

Source-reported events for the cited work

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Observation cf47f353-1114-4f8f-9ed3-e3dd2cf67b9a · outbound

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

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 35

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Observation ef2bf3cf-038f-42e6-9119-e48b06d418ca · outbound

This paper cites GPT-4o System Card, 2024.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning GPT-4o System Card, 2024

Reference 36

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Observation 18e9c71d-6314-422e-b5e6-5e9c7c7d05a3 · outbound

This paper cites Christiano, Jan Leike, and Ryan Lowe.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Christiano, Jan Leike, and Ryan Lowe

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.445602Z

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Observation 636e7608-8c33-4e83-b740-3b8a787115f8 · outbound

This paper cites Scaling Open-V ocabulary Object Detection.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Scaling Open-V ocabulary Object Detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.476105Z

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Observation cfa9d043-281e-4300-a349-fcce7730aed4 · outbound

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

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 39

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Observation b438e301-e867-4968-9a69-cccb0519f80e · outbound

This paper cites PerceptionGPT: Effectively Fusing Visual Percep- tion into LLM.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning PerceptionGPT: Effectively Fusing Visual Percep- tion into LLM

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.415996Z

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Observation ad6f9421-5caf-4284-981b-f694c4ba7320 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.431240Z

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Observation d0d9da8c-6868-4a37-8486-a8b9abca8f41 · outbound

This paper cites Anwer, Eric Xing, Ming-Hsuan Yang, and Fahad S.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Anwer, Eric Xing, Ming-Hsuan Yang, and Fahad S

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.390115Z

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Observation 8ed197d9-5b23-4c00-bd0d-0a709d72d192 · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face,.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.374381Z

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Observation 158df1f1-bce1-4be1-95d7-52fd3a0d73e2 · outbound

This paper cites Language models are unsuper- vised multitask learners.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Language models are unsuper- vised multitask learners

Reference 44

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Observation 801fb7c1-26c1-49a1-b9b4-00660efe8695 · outbound

This paper cites ViperGPT: Visual Inference via Python Execution for Reasoning.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning ViperGPT: Visual Inference via Python Execution for Reasoning

Reference 45

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Observation b313a20f-a130-4ece-aa42-1db54810ae0b · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Gemma 2: Improving Open Language Models at a Practical Size

Reference 46

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Observation 303c93aa-f55b-448a-9493-d46515b391de · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.315609Z

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Observation c8d15d09-73c9-4158-b08b-53d52a851ef5 · outbound

This paper cites Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.358955Z

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Observation 2dab5cce-0165-443d-b23a-46ecc6ae5b64 · outbound

This paper cites CRIS: CLIP- Driven Referring Image Segmentation.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning CRIS: CLIP- Driven Referring Image Segmentation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.327510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0828f7ac-e6ee-4f1f-88cd-065ac54e2dbe · outbound

This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.358878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4731627e-7fa4-4e11-a8e2-dc5e07e6b0df · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.337684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de374cc4-7d5c-4d3e-83f8-e18810316348 · outbound

This paper cites VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks,.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.343366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6aaae9ad-0aa3-4802-992e-9e3a7360e4e9 · outbound

This paper cites VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.348314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a96f5036-d889-42c1-984c-4acd7ad1c729 · outbound

This paper cites an unresolved cited work.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.378332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa0e58d1-885b-422d-9749-ff4462c09c4f · outbound

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

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.382440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 871c4183-e5c8-4bfa-98bc-e6d6e3c02401 · outbound

This paper cites NExT-GPT: Any-to-Any Multimodal LLM.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning NExT-GPT: Any-to-Any Multimodal LLM

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.364061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f52294ea-dba9-488e-a57e-552a7d76b732 · outbound

This paper cites GSV A: Generalized Segmentation via Multimodal Large Language Models.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning GSV A: Generalized Segmentation via Multimodal Large Language Models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.311665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f4be7c81-dd03-4907-a27d-19caae15154b · outbound

This paper cites Florence-2: Advancing a Unified Representation for a Va- riety of Vision Tasks.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Florence-2: Advancing a Unified Representation for a Va- riety of Vision Tasks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.190942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf5111f1-ef1d-498b-90c9-e1d0bcbfcc34 · outbound

This paper cites IdealGPT: Iteratively Decomposing Vision and Lan- guage Reasoning via Large Language Models.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning IdealGPT: Iteratively Decomposing Vision and Lan- guage Reasoning via Large Language Models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.142095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee68c0b7-80ea-4f64-9e94-6db57a70e0eb · outbound

This paper cites Berg, and Tamara L.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Berg, and Tamara L

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.125998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 204ca23d-d05b-4f61-8bab-778710993bb4 · outbound

This paper cites Depth Anything V2.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Depth Anything V2

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.386798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f5e6032-e629-4330-afe5-ef8985c5386c · outbound

This paper cites Cross-Modal Rela- tionship Inference for Grounding Referring Expressions.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Cross-Modal Rela- tionship Inference for Grounding Referring Expressions

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.174061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea5fc35b-df3a-45ab-b4b1-d35a4ce2b789 · outbound

This paper cites an unresolved cited work.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:21:23.157455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0fdb9299-4307-4693-9fd3-6e763cecfb25 · outbound

This paper cites Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.109629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5662df4-091f-4c5e-a5f9-8449060109a6 · outbound

This paper cites PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-09T19:21:22.525450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6fb6f62e-3ad3-4506-8ab4-010f3d7ca1c6 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models,.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.418661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c660ab1a-4fdf-409a-8e52-8013b95abe95 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.424064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad299b5-34e6-4a09-97a9-3db4dbf26d03 · outbound

This paper cites Table 9 presents a quantitative comparison on the RefCOCO, RefCOCO+, RefCOCOg [21], and Ref- Adv [1] datasets.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Table 9 presents a quantitative comparison on the RefCOCO, RefCOCO+, RefCOCOg [21], and Ref- Adv [1] datasets

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.082917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b871822-dd7c-4635-ab03-3c39b278c443 · outbound

This paper cites For a fair comparison, we use the same foundation models and LLM for the ex- periments.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning For a fair comparison, we use the same foundation models and LLM for the ex- periments

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.067105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 781c9b0b-4f0d-4c1e-a214-78337446f75f · outbound

This paper cites The results are shown in Table 11.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning The results are shown in Table 11

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.050044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 504a224c-bc61-4fc1-8b62-96165ff670e5 · outbound

This paper cites In this mechanism, each time the system transitions into the self-correction state (indicated by a red arrow in Figure 2), it is counted as one retry.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning In this mechanism, each time the system transitions into the self-correction state (indicated by a red arrow in Figure 2), it is counted as one retry

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.034758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53f673b3-c505-4da8-94d8-5b95494c63aa · outbound

This paper cites The results, shown in Figure 4, indicate that NA VER consistently reaches SoTA performance compared to all baselines regardless of query length.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning The results, shown in Figure 4, indicate that NA VER consistently reaches SoTA performance compared to all baselines regardless of query length

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.018330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ce02b20-ac36-4fb9-a623-5a0cfb14e61f · outbound

This paper cites An intuitive alternative is to skip captioning and ask the VLM to predict categories directly.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning An intuitive alternative is to skip captioning and ask the VLM to predict categories directly

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.002013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91e6a8e7-9401-490a-b0c7-454915489a28 · outbound

This paper cites Yes” or “No.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Yes” or “No

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:22.985311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2fe5022-c14a-4810-bd90-a991e5487999 · outbound

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

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T19:21:22.151438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcdb2266-fb07-4797-9585-249b93d864fc · outbound

This paper cites 2, 3, 4, 6, 7, 1.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning 2, 3, 4, 6, 7, 1

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:21:23.624357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Reference resolution

Outbound references

Pith citing papers