Paper Citation Record · LEDGER

SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2504.09644.

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

pith.paper-citation-record.v1
2504.09644 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:49:55.002394Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:39.970148Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a8b427f1-981a-4b88-9931-54c2b2ae607d · inbound

Reasoning Segmentation for Images and Videos: A Survey cites this paper.

Reasoning Segmentation for Images and Videos: A Survey SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:14.624387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4a03c22-c4e6-49d7-9284-34fd5e0d9815 · inbound

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images cites this paper.

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T16:41:41.424049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bbf0327-a79d-4b09-b9b5-a75c76818057 · inbound

UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes cites this paper.

UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:39:03.291940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c5dcbc0-a07c-4525-9c35-c6042db272ca · inbound

CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications cites this paper.

CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T15:55:27.981402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4bcd87-91dc-475f-8d6b-bf863789bfaa · inbound

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs cites this paper.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T05:53:29.659216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59221b04-5558-4d35-b36f-bf0dca0b98c3 · inbound

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

RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:40:59.663824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9c98538-535c-4d50-ad72-c3709c5c4f2d · inbound

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.136292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4539cf70-0f96-4faf-a6c1-0095a0f86413 · inbound

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T16:10:00.554971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c1a997-62ee-4d08-b1ef-56d54bada21d · inbound

RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation cites this paper.

RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:51:46.217081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ded1c7f-671b-4be8-b62c-f0ae57a7a723 · inbound

Agentic AI for Remote Sensing: Technical Challenges and Research Directions cites this paper.

Agentic AI for Remote Sensing: Technical Challenges and Research Directions SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:33.391841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee7f92fe-237d-4b2c-864e-a8996d68a71c · inbound

Agentic AI for Remote Sensing: Technical Challenges and Research Directions cites this paper.

Agentic AI for Remote Sensing: Technical Challenges and Research Directions SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.695519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d354bbb8-86da-466a-b2fc-cf9eb51cfeca · inbound

RemoteZero: Geospatial Reasoning with Zero Human Annotations cites this paper.

RemoteZero: Geospatial Reasoning with Zero Human Annotations SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:40.318009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26932c6d-8d27-49f2-9f85-c50b7e780f19 · 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 SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:56:10.643666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9297750-c2d6-4705-ab34-a7e7eaea5a07 · inbound

An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation cites this paper.

An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:46:14.218945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 55db394b-4446-43a2-912d-a52f8c15c54f · inbound

DisasterBench: A Multimodal Benchmark for UAV-Based Disaster Response in Complex Environments cites this paper.

DisasterBench: A Multimodal Benchmark for UAV-Based Disaster Response in Complex Environments SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:56:55.919495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89133734-84fe-4416-ae5b-0dd78dd2c65b · 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 SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:39.971654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad8b33cf-c6cb-4884-8f80-8de4c5b4b3e7 · inbound

GeoSelect: Spatial-Program Execution for Training-Free Referring Remote Sensing Image Segmentation cites this paper.

GeoSelect: Spatial-Program Execution for Training-Free Referring Remote Sensing Image Segmentation SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T23:23:21.424035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f63d07c-150c-4606-97e0-c3ef6751d33b · inbound

More with Less: a Large Scale Remote Sensing VLM with a Simple Recipe cites this paper.

More with Less: a Large Scale Remote Sensing VLM with a Simple Recipe SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T21:55:56.065830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba50d292-1435-48e2-85f2-f134d6c2e8dc · inbound

CROSS: Cascaded Distillation and Dual-Constraint Grounding for Remote Sensing Referring Segmentation cites this paper.

CROSS: Cascaded Distillation and Dual-Constraint Grounding for Remote Sensing Referring Segmentation SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T00:48:40.815396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902ed913-aaf0-4a86-8f7e-5a8b845356c1 · inbound

CROSS: Cascaded Distillation and Dual-Constraint Grounding for Remote Sensing Referring Segmentation cites this paper.

CROSS: Cascaded Distillation and Dual-Constraint Grounding for Remote Sensing Referring Segmentation SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T00:49:55.002394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.