Paper Citation Record · LEDGER

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models

As of 15 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.24340.

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

pith.paper-citation-record.v1
2505.24340 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:32:30.556929Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact3
verified fuzzy1
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dad22c73-f48a-456d-92b5-cce0c37daba9 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:29.518410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a0f4c1b-f7b7-4d64-ad80-0f0e38b51fae · outbound

This paper cites LLMs for Explainable AI: A Comprehensive Survey.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models LLMs for Explainable AI: A Comprehensive Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:29.744760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21fe554-45c5-4153-ac4d-f257fae3698e · outbound

This paper cites Visual Classification via Description from Large Language Models.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models Visual Classification via Description from Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:30.129101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd62e7a4-c7cf-44dc-9aa4-c8b5d0dbfdf5 · outbound

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

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:30.331687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5531cd96-abb5-4fb5-987d-6041670511b4 · outbound

This paper cites The SpaceNet Multi-Temporal Urban Development Challenge.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models The SpaceNet Multi-Temporal Urban Development Challenge

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:30.837086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation de1da1ea-d7b6-49c1-8044-8c25a2711e61 · outbound

This paper cites The Llama 3 Herd of Models.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models The Llama 3 Herd of Models

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:29.855808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f415d4-94db-4251-8c1c-f1739eabfae4 · outbound

This paper cites In-domain representation learning for remote sensing.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models In-domain representation learning for remote sensing

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:30.216555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22352f41-f8c3-4b2c-851f-73ded0b38e90 · outbound

This paper cites Why are Visually-Grounded Language Models Bad at Image Classification?.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models Why are Visually-Grounded Language Models Bad at Image Classification?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:30.556929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b9caf7d-bcce-49ff-8e1f-4aa3eb8e0df9 · outbound

This paper cites RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:31.280271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91c6165c-321b-4645-a026-080eaa4379fc · outbound

This paper cites Leverage weekly annotation to pixel-wise annota- tion via zero-shot segment anything model for molecular- empowered learning.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models Leverage weekly annotation to pixel-wise annota- tion via zero-shot segment anything model for molecular- empowered learning

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:31.546428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 613bf321-c6bf-4800-8cff-12924cffa3a6 · outbound

This paper cites GPT-4 Technical Report.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models GPT-4 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:29.646943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74002761-3f58-4783-8bb4-a4d373d2fa3b · outbound

This paper cites Taxonomy-Aware Evaluation of Vision-Language Models.

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models Taxonomy-Aware Evaluation of Vision-Language Models

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:30.994782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.