Paper Citation Record · LEDGER

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2505.02829.

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

pith.paper-citation-record.v1
2505.02829 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:42.558564Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T04:37:12.944874Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T04:39:03.330467Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy5
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3967ca36-5083-47ae-b333-87cbfced40e7 · outbound

This paper cites GPT-4 Technical Report.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.477202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9295ebab-d181-4bf2-a9b3-54fc4d1be44b · outbound

This paper cites InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.492245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5cd6b71-5fa0-411d-be5b-9503de8de58a · outbound

This paper cites Segmentation from natural language expressions.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery Segmentation from natural language expressions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:42.791810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 765f0437-3f66-4aff-a2d1-902495544ff2 · outbound

This paper cites TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.507908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e31cf1d-5324-4f97-95d3-e388ab4ad3e3 · outbound

This paper cites Deep semantic under- standing of high resolution remote sensing image.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery Deep semantic under- standing of high resolution remote sensing image

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:42.780233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c69d258b-1905-4672-8169-3620b5e45690 · outbound

This paper cites GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.528919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b47f4422-6a1b-4c62-a2a0-6ed257d82fd5 · outbound

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

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery LLaMA: Open and Efficient Foundation Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.533010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e63b794-af11-4395-bf42-783d84a8cc8e · outbound

This paper cites Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.537223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70111460-925f-41a3-af33-43c672ece34d · outbound

This paper cites Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.546567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8972aa-3161-439e-b7ce-d1f57f4dc35c · outbound

This paper cites SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.550602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55c72090-3035-4400-9caf-53c2556b56d3 · outbound

This paper cites query":.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery query":

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:42.769019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 677f9020-edcf-4967-89af-c6e5d3f56251 · outbound

This paper cites The final query is then treated as the principal query.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery The final query is then treated as the principal query

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:42.756407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6369ecf9-49e4-48f7-b99d-4b65f144c228 · outbound

This paper cites RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.541704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6838d75-9032-4213-bc54-314b9ba06530 · outbound

This paper cites Decoupled Weight Decay Regularization.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery Decoupled Weight Decay Regularization

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.518217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc0b690-3a73-4b41-b8cd-737c5456c7f4 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.498291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8a31eee-a756-4c1b-89f8-56caf818246c · outbound

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

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.487868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c19b09-a8df-4e51-8640-47b723e46403 · outbound

This paper cites Spice: Semantic propositional image caption evaluation.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery Spice: Semantic propositional image caption evaluation

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:42.804009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 70ae8d70-dca8-4c7c-8b6b-f01871af5fcf · outbound

This paper cites xView: Objects in Context in Overhead Imagery.

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery xView: Objects in Context in Overhead Imagery

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:42.512794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1aba85e1-4a48-499c-9d22-9f5eeb67cc10 · inbound

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

UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:39:03.332989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e92239a-2a20-40b4-a881-5dae4b3d2b4e · inbound

Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models cites this paper.

Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:05:25.163937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.