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Paper Citation Record · LEDGER

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 5 inbound Pith citation observations for arXiv:2506.03583.

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

pith.paper-citation-record.v1
2506.03583 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:01:50.584793Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:20:32.038403Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:39.986984Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d79a8551-966d-42b7-adba-1daccb0be064 · outbound

This paper cites Stronger fewer & superior: Harnessing vision foundation models for domain generalized semantic segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Stronger fewer & superior: Harnessing vision foundation models for domain generalized semantic segmentation,

Reference 1

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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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Observation 62d301b9-23e1-4c94-844f-8651dfa995e8 · outbound

This paper cites Sed: A simple encoder- decoder for open-vocabulary semantic segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Sed: A simple encoder- decoder for open-vocabulary semantic segmentation,

Reference 2

Resolution
verified fuzzy
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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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Observation 91e291e6-f4df-43a5-88c0-2cb0ff3dd88f · outbound

This paper cites LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d9089903-2131-4ade-aead-a7f13322674f · outbound

This paper cites Retrieval-augmented recommender system: Enhancing recommender systems with large language models,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Retrieval-augmented recommender system: Enhancing recommender systems with large language models,

Reference 4

Resolution
verified fuzzy
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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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Observation 45b5c2b3-a1b0-46e4-8965-5b5e6f537452 · outbound

This paper cites ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 27fd4ac6-912e-4f6a-98df-be70ebcbd936 · outbound

This paper cites Gres: Generalized referring expression segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Gres: Generalized referring expression segmentation,

Reference 6

Resolution
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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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Observation 49bc7552-713f-4d95-8e59-0435d87b7931 · outbound

This paper cites Prompt-driven referring image segmentation with instance contrasting,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Prompt-driven referring image segmentation with instance contrasting,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 448918bb-470b-44ce-bc80-3d287e1fbb6d · outbound

This paper cites Mask grounding for referring image segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Mask grounding for referring image segmentation,

Reference 8

Resolution
verified fuzzy
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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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Observation f70fa102-d96e-4ac0-b6c4-2bdedcae3949 · outbound

This paper cites Mevis: A large- scale benchmark for video segmentation with motion expressions,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Mevis: A large- scale benchmark for video segmentation with motion expressions,

Reference 9

Resolution
verified fuzzy
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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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Observation 4eb13ec6-4d43-4f1a-ab34-36d8862a2452 · outbound

This paper cites ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b814cb5c-98f5-4023-9293-84fc777937fb · outbound

This paper cites Scanrefer: 3d object local- ization in rgb-d scans using natural language,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Scanrefer: 3d object local- ization in rgb-d scans using natural language,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bdddf399-be17-4fc7-982f-b4783ad74de2 · outbound

This paper cites Multi-branch mutual-guiding learning for infrared small target detection,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Multi-branch mutual-guiding learning for infrared small target detection,

Reference 12

Resolution
verified fuzzy
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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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Observation 17a045bd-18a7-488c-8ff4-5a5fa65988b7 · outbound

This paper cites Edge-guided per- ceptual network for infrared small target detection,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Edge-guided per- ceptual network for infrared small target detection,

Reference 13

Resolution
verified fuzzy
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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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Observation 53b3c6ce-9f65-4d76-a904-cf6963b2f363 · outbound

This paper cites Rrsis: Referring remote sensing image segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Rrsis: Referring remote sensing image segmentation,

Reference 14

Resolution
verified fuzzy
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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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Observation cf56d935-7d24-4504-b95a-018948697a4e · outbound

This paper cites Rotated multi-scale interaction network for referring remote sensing image seg- mentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Rotated multi-scale interaction network for referring remote sensing image seg- mentation,

Reference 15

Resolution
verified fuzzy
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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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Observation 9635b37e-4c63-46c5-aef9-67dbbba4ec03 · outbound

This paper cites Segment anything,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Segment anything,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 829012d5-e27c-41be-96d5-c5a839ac81a3 · outbound

This paper cites Transformer-based visual segmentation: A survey,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Transformer-based visual segmentation: A survey,

Reference 17

Resolution
verified fuzzy
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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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Observation 08ed9dc2-9031-4d91-8a42-507c2fa703ad · outbound

This paper cites Hierarchical open-vocabulary universal image segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Hierarchical open-vocabulary universal image segmentation,

Reference 18

Resolution
verified fuzzy
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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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Observation ea82ef8f-c26e-4c15-b212-85abaae81c9a · outbound

This paper cites Referitgame: Referring to objects in photographs of natural scenes,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Referitgame: Referring to objects in photographs of natural scenes,

Reference 19

Resolution
verified fuzzy
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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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Observation fca1baf9-a970-406e-b22f-6cd27db8bc63 · outbound

This paper cites Microsoft coco: Common objects in context,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Microsoft coco: Common objects in context,

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 388f95b8-b116-478d-a27e-a231f78b9478 · outbound

This paper cites Rsvg: Exploring data and models for visual grounding on remote sensing data,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Rsvg: Exploring data and models for visual grounding on remote sensing data,

Reference 21

Resolution
verified fuzzy
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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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Observation 1271b8f0-69ce-4c28-9102-1554f45156d9 · outbound

This paper cites Refer- ring image segmentation via cross-modal progressive comprehension,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Refer- ring image segmentation via cross-modal progressive comprehension,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:52.311321Z

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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Observation 36827ce2-6610-4dac-ae33-15372ab168da · outbound

This paper cites Bi-directional relationship inferring network for referring image segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Bi-directional relationship inferring network for referring image segmentation,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:52.241888Z

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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Observation 20372e5e-a7f8-41ea-9b97-13b08521277f · outbound

This paper cites Cross-modal pro- gressive comprehension for referring segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Cross-modal pro- gressive comprehension for referring segmentation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:52.132732Z

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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Observation d5967049-028c-4410-a674-f1eecabe8467 · outbound

This paper cites Exploring fine-grained image-text alignment for referring remote sensing image segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Exploring fine-grained image-text alignment for referring remote sensing image segmentation,

Reference 25

Resolution
verified fuzzy
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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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Observation 44b831a3-077d-4473-8163-9e8c02ea981f · outbound

This paper cites Finding nemo: Negative-mined mosaic augmentation for referring image segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Finding nemo: Negative-mined mosaic augmentation for referring image segmentation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.934241Z

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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Observation d4d82e7c-b236-4828-be3c-fe670358fcaf · outbound

This paper cites Remam- ber: Referring image segmentation with mamba twister,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Remam- ber: Referring image segmentation with mamba twister,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.837710Z

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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Observation e2ece29c-9c53-4a04-91d7-1b8d60e25fe7 · outbound

This paper cites IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:01:50.727843Z

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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Observation 478041a3-24fd-49d7-a7e2-d93c9c689af5 · outbound

This paper cites Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:50.071211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:01:50.071211Z digest=sha256:4394fc6538a1b13d4c72be9306c6f88cb1d4f75402708fce5d0fdd684d7c6006

Observation b3b50c66-23b9-490c-b966-b88c5b6f0f72 · outbound

This paper cites Vision-aware text features in referring image seg- mentation: From object understanding to context understanding,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Vision-aware text features in referring image seg- mentation: From object understanding to context understanding,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.754093Z

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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Observation 9041be4c-dfde-4913-9c0b-14f8b63dab35 · outbound

This paper cites Adaptive selection based referring image seg- mentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Adaptive selection based referring image seg- mentation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.631937Z

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.

source=pdf_text observed=2026-08-07T11:01:50.167005Z digest=sha256:c8d60969b146812a86381af10388b53fea9ae0980869f63634fd8c7eb039989f

Observation 4b1b7815-e45c-436d-812d-32465cd76640 · outbound

This paper cites Lisa: Reasoning segmentation via large language model,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Lisa: Reasoning segmentation via large language model,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.504970Z

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.

source=pdf_text observed=2026-08-07T11:01:50.195435Z digest=sha256:cf33d869619920ebc37b50060a230ae1f2de4db8492c3626679a18763eb816cf

Observation ab4f43b4-0e6d-46fa-bac3-c477cb6bc2bc · outbound

This paper cites Pixellm: Pixel reasoning with large multimodal model,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Pixellm: Pixel reasoning with large multimodal model,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.425539Z

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.

source=pdf_text observed=2026-08-07T11:01:50.231973Z digest=sha256:0668a9a32f0c791e5d3e907fdd96a5b35002156b3c96a318828d9cdfd94e6b8b

Observation b8c41717-547b-4f39-b986-4794910a8499 · outbound

This paper cites Visa: Reasoning video object segmentation via large lan- guage models,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Visa: Reasoning video object segmentation via large lan- guage models,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.326105Z

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.

source=pdf_text observed=2026-08-07T11:01:50.255757Z digest=sha256:1575af0e510e967e83b4ef9a50d67b6b6f680be0c9ee6d24e41ec65d4e0a65e4

Observation 98386bf2-4930-49ae-a869-bd54eaaa1854 · outbound

This paper cites Referring image segmentation via recurrent refinement networks,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Referring image segmentation via recurrent refinement networks,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.233444Z

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.

source=pdf_text observed=2026-08-07T11:01:50.280755Z digest=sha256:165f28c11b61babd5105420f42a12b8658e23408fab6325b41a3c416cd10e82c

Observation 26987899-63cf-42ee-9feb-5ac6016f8abb · outbound

This paper cites Locate then segment: A strong pipeline for referring image segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Locate then segment: A strong pipeline for referring image segmentation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.121667Z

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.

source=pdf_text observed=2026-08-07T11:01:50.314280Z digest=sha256:83f27b4ce23f160bda381fd4f18b0e3c2f4c4c9a9202781e762fe651239b1b9d

Observation de326f2c-5d58-4100-84ac-135db8332fb9 · outbound

This paper cites Referring image segmentation using text supervision,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Referring image segmentation using text supervision,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:51.035631Z

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.

source=pdf_text observed=2026-08-07T11:01:50.362556Z digest=sha256:9c903f16e192e7bdc9d2bbc40c577b5f63cdac10da261a740c53e55152a74120

Observation 3a3c0387-c56c-418a-817f-b5ba76456572 · outbound

This paper cites Cross-modal self-attention network for referring image segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Cross-modal self-attention network for referring image segmentation,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:50.406930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:01:50.406930Z digest=sha256:4c7c2aafb39a906d00529456f86a0684a51a078be9e62137b268edfe327a5442

Observation 8a11c1b3-c423-4fd1-837c-57422e08d4a1 · outbound

This paper cites Attention is all you need,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Attention is all you need,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:50.433684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:01:50.433684Z digest=sha256:ba69637398d5b2cf49c57eaaadca0ec17bbc787aaa31f97cb70d7aaad7f79473

Observation c9a919c0-3d83-47fb-9df1-6351177a1ea8 · outbound

This paper cites Lavt: Language-aware vision transformer for referring image segmentation,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Lavt: Language-aware vision transformer for referring image segmentation,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:50.464933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:01:50.464933Z digest=sha256:40329019cfdabd35052c762101824c6eca1e0b9520937ab79f001fe8818a130d

Observation 68780c3f-2862-4eed-9245-7b17538b8396 · outbound

This paper cites C 2 net: Road extraction via context perception and cross spatial-scale feature interaction,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark C 2 net: Road extraction via context perception and cross spatial-scale feature interaction,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:50.961714Z

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.

source=pdf_text observed=2026-08-07T11:01:50.499285Z digest=sha256:bb4e9e98c127575027e11a1fe7ce93f0ac0b0d3ba5054afcc7512ff8e89b785a

Observation 8058b5be-cc3f-4d56-afea-dbb05c72e1f7 · outbound

This paper cites Hcnet: Hierarchical feature aggregation and cross-modal feature alignment for remote sensing image captioning,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Hcnet: Hierarchical feature aggregation and cross-modal feature alignment for remote sensing image captioning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:50.858790Z

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.

source=pdf_text observed=2026-08-07T11:01:50.527465Z digest=sha256:167d6147b069acae5b4be9c22e2ba30aa127a72ae22cd924c702ab4b739a8afd

Observation 7d1f2401-83d3-4e52-b23d-709dcb6570a8 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:50.558043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:01:50.558043Z digest=sha256:3474a46d79f70637051d02a9fc47451b29f14c33e0e993dc9e4c82ebef7beb35

Observation 583d7ae8-fa78-4794-aa08-b165ba76138f · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:50.584793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:01:50.584793Z digest=sha256:767597251445b47331f96049fa6e10d2afd9236f819aa5951ec6f36114485a07

Pith citing papers

Observation f41f6a80-801b-4aca-b2d5-6feee4b40520 · inbound

AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding cites this paper.

AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:56:10.626957Z

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.

source=pdf_text observed=2026-05-22T06:55:10.086869Z digest=sha256:244d24918089e0fa6ca9e0860cdf826f419cc8440bf7335fa3603a6a821fe2f0

Observation ec60e02b-c8bf-46fd-b028-ffd7929b1666 · inbound

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks cites this paper.

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:27:39.988539Z

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.

source=pdf_text observed=2026-06-27T13:16:12.768793Z digest=sha256:6579b1ded652552d7ce94c70bf9397cc4d5ae23b3e153547fca53ae39304ff1b

Observation a230a7dc-3182-47cf-a25b-7e3ebc3c4316 · inbound

UniEvo-RS: Omni-Prompt Unified Remote Sensing Segmentation with Representative Exemplar-Driven Prototype Evolution cites this paper.

UniEvo-RS: Omni-Prompt Unified Remote Sensing Segmentation with Representative Exemplar-Driven Prototype Evolution A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T14:50:09.947263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:50:09.947263Z digest=sha256:e333135a9bee0ac6363d1a15d39a65c0fe8b1d872d6305dba9fd00e8909073ff

Observation 41e8ce5e-1f6a-43b5-a0a8-2c04ee861319 · inbound

AeroReformer2: Spoken-Query Referring Segmentation for Aerial Images cites this paper.

AeroReformer2: Spoken-Query Referring Segmentation for Aerial Images A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T04:27:06.046858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:27:06.046858Z digest=sha256:94b2fbbd5fcc3f9e99b9ee65cb102b5d39ac66d5ed2a83875e181503a67e95be

Observation b4d2b23a-9cc6-42e2-94ef-905a60ce9bc4 · inbound

DiCoR: Decoupled Referent Disambiguation and Contour Recalibration for Efficient Referring Remote Sensing Image Segmentation cites this paper.

DiCoR: Decoupled Referent Disambiguation and Contour Recalibration for Efficient Referring Remote Sensing Image Segmentation A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T19:20:32.038403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:32.038403Z digest=sha256:74a0eea0895344469f1e72bb6e542b317679b435141093cf2db033cdff14bdfa