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Paper Citation Record · LEDGER

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding

As of 16 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2607.10120.

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

pith.paper-citation-record.v1
2607.10120 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T14:09:30.395518Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

71 of 71 outbound references displayed

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Outbound references

Observation 59f7e08c-a79c-415c-ba7f-777085d2c32c · outbound

This paper cites 2025.Claude 3.7 Sonnet and Claude Code.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding 2025.Claude 3.7 Sonnet and Claude Code

Reference 1

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This paper cites Qwen3-VL Technical Report.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Qwen3-VL Technical Report

Reference 2

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This paper cites Qwen2.5-VL Technical Report.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Qwen2.5-VL Technical Report

Reference 3

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This paper cites an unresolved cited work.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 4

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Observation f82a103b-b458-4e63-a1a2-a89b7b3e7a1d · outbound

This paper cites Context-Aware Semantic Segmentation via Stage-Wise Attention.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Context-Aware Semantic Segmentation via Stage-Wise Attention

Reference 5

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Observation 28cd82e5-b6df-4e03-a3c9-37727bbf2c83 · outbound

This paper cites F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation

Reference 6

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 7

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 8

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Observation f902a8eb-3382-4266-90bb-cf20d3ea30a3 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 9

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This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding CogVLM2: Visual Language Models for Image and Video Understanding

Reference 10

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This paper cites RSGPT: A Remote Sensing Vision Language Model and Benchmark.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding RSGPT: A Remote Sensing Vision Language Model and Benchmark

Reference 11

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 12

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This paper cites InProceedings of the 32nd ACM International Conference on Multimedia (ACM MM).

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding InProceedings of the 32nd ACM International Conference on Multimedia (ACM MM)

Reference 13

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 14

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding LLaVA-OneVision: Easy Visual Task Transfer

Reference 17

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Observation a3a566f8-cc48-4e41-be88-c02549555662 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding 2024.LLaV A-NeXT: Improved reasoning, OCR, and world knowledge

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts

Reference 31

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding 2024.GPT-4o mini: advancing cost-efficient intelligence

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding 2024.Hello GPT -4o

Reference 37

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing

Reference 38

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Observation d441a222-1911-4267-af1a-7c0a139a82c4 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

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Observation 3d82469c-2594-4623-9476-ad8c23d7a288 · outbound

This paper cites GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing

Reference 41

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Observation 9baa0608-8ea7-4cf3-8033-cc8bff7e4f3d · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 42

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Observation 8632ae4a-e47f-4dc1-b93c-70b999c8902b · outbound

This paper cites Asking like Socrates: Socrates helps VLMs understand remote sensing images.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Asking like Socrates: Socrates helps VLMs understand remote sensing images

Reference 43

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Observation e912b465-8b2e-418b-a622-9c4be1ac5a3d · outbound

This paper cites ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration

Reference 44

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Observation 9055eae1-c298-4208-b2ac-8dd227ea2830 · outbound

This paper cites Large Language Models for Captioning and Retrieving Remote Sensing Images.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Large Language Models for Captioning and Retrieving Remote Sensing Images

Reference 45

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Observation 2312c5a7-c591-4092-a85b-73e16d762018 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 46

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Observation a604fac5-b479-45e4-98fa-17c5502ffb23 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 47

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Observation 02de2905-825b-4177-8cbf-a22ba0470ae1 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 48

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Observation e3793497-f7dc-4971-a5df-8d656696534b · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 49

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Observation 73567441-f554-45e1-96f8-2c8e1cb05e71 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 50

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Observation 7d85db21-4a09-49f9-b675-bb0ecdf9cac6 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 51

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Observation 336dfaf6-bef7-49b8-91b7-f0291d0663a4 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 52

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Observation b3c5b54d-d985-4cbf-a6c3-52dff3314fe1 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 53

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Observation ffc7ba69-e343-4229-b620-4d6fd5e4b629 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 54

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Observation 257aab3f-e3d8-43a8-b14f-e74b6d2a7110 · outbound

This paper cites RemoteZero: Geospatial Reasoning with Zero Labels.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding RemoteZero: Geospatial Reasoning with Zero Labels

Reference 55

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Observation f005c587-d693-436b-9849-285692d85aa1 · outbound

This paper cites RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs

Reference 56

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Observation 4ff6cba4-5e67-444e-9ea6-e64e91a8791e · outbound

This paper cites an unresolved cited work.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 57

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Observation e7050ac9-a06f-4ea1-bf7b-ebff9e127514 · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 58

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Observation 8e167f3e-02fe-4f42-871f-3923a118714e · outbound

This paper cites InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Reference 59

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Observation cc0ce847-2512-466d-a411-aa1a5b0909da · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 60

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Observation b4ad68c6-0e4d-4c3b-80fc-30887963948a · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 61

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Observation e74b4dd7-d35c-4a52-9a27-46348664a88d · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 62

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source=pdf_text observed=2026-07-14T14:09:30.395518Z digest=sha256:74570bd0a18ad0be587d5d3d5bca87905fedf42ab54a0e6df3deb529f48412d7

Observation ebcbd825-0e8b-4a7e-b1ec-ee21ced0ed41 · outbound

This paper cites Bridging Semantics and Geometry: A Decoupled LVLM-SAM Framework for Reasoning Segmentation in Optical Remote Sensing.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Bridging Semantics and Geometry: A Decoupled LVLM-SAM Framework for Reasoning Segmentation in Optical Remote Sensing

Reference 63

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source=pdf_text observed=2026-07-14T14:09:30.395518Z digest=sha256:5c5b884982b8b1d9484208ec23ecdc12a784b3daa6941d2b892c0ab5db172607

Observation 289129be-1ae5-4590-8b6c-4bcd44eca537 · outbound

This paper cites MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Reference 64

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source=pdf_text observed=2026-07-14T14:09:30.395518Z digest=sha256:b6ce082a0de04781a9c0bee3d706f706ec6f958b08a4782bed9cae210676bf51

Observation f62214d7-32a7-42d4-9cc1-10cec4990bfa · outbound

This paper cites Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning

Reference 65

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Observation 5440a71b-9aaf-42ed-8a93-47bdca596967 · outbound

This paper cites an unresolved cited work.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 66

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Observation 47e2fb85-77a2-48d0-8958-dff8f30fbff6 · outbound

This paper cites an unresolved cited work.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 67

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Observation cf57de2b-3eb9-45a3-b19f-f89e0dffdf3f · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 68

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source=pdf_text observed=2026-07-14T14:09:30.395518Z digest=sha256:69ff71384179ff3815814659bf84d83362d965b9a5e422e2787a49f6b853b681

Observation 56b6163b-73cb-4fa8-bca7-08ad93fd5616 · outbound

This paper cites an unresolved cited work.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 69

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Observation bf695797-2c95-46ed-b52d-f489ea90b09e · outbound

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WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding Unresolved cited work

Reference 70

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source=pdf_text observed=2026-07-14T14:09:30.395518Z digest=sha256:34dc6719c7ce47857fe0ca908d17b700183bb62ba478b3d6df1cfd381341123d

Observation ebca0a8b-9c4f-46d3-952e-96939de8b3de · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 71

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Pith citing papers

No inbound Pith citation observations are available.