Paper Citation Record · LEDGER

Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2312.06960.

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

pith.paper-citation-record.v1
2312.06960 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:30:49.632627Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:13:16.012751Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 78ea8e84-d6e8-45de-93ce-d44e110c0b6b · inbound

REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation cites this paper.

REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:30:49.632627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eacf901-0146-4726-99f3-c37629536f8f · inbound

Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment cites this paper.

Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:17.562224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fe232d7-b459-4551-8985-76834009f702 · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T21:20:59.448470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9393286-ebb1-4bd0-9069-90957ee88f39 · inbound

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery cites this paper.

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T19:36:04.179646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de83feab-bd89-4cbc-9286-ad7c4623bf9c · inbound

Habitat Classification from Ground-Level Imagery Using Deep Neural Networks cites this paper.

Habitat Classification from Ground-Level Imagery Using Deep Neural Networks Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T06:32:07.707119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f54aacb9-d819-4fa2-9dbf-79042d54c18e · inbound

UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning cites this paper.

UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T22:21:53.355993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 816adf27-7594-4126-997d-523ba6b80709 · inbound

SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery cites this paper.

SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T21:00:39.055874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dfb0dc76-4eec-4f8d-a5f9-1f9159ae3fb8 · inbound

MMLANDMARKS: a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding cites this paper.

MMLANDMARKS: a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:51:15.274199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a06a9067-9b66-4c80-893e-2011c3e0524b · inbound

Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding cites this paper.

Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:51:02.735356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05ac4714-57d8-430b-8b4c-7af0fb851665 · inbound

UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing cites this paper.

UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:55:28.947914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc03591d-c476-4248-a6c5-ae9d280b4327 · inbound

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap cites this paper.

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 149

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.684998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d0ba124-c2d5-4f58-8584-1eed8a1d8cdc · inbound

Fast-then-Fine: A Two-Stage Framework with Multi-Granular Representation for Cross-Modal Retrieval in Remote Sensing cites this paper.

Fast-then-Fine: A Two-Stage Framework with Multi-Granular Representation for Cross-Modal Retrieval in Remote Sensing Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:29:47.832792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cfc787c5-a466-4760-8e9c-2cf9e9eb1d01 · inbound

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

Agentic AI for Remote Sensing: Technical Challenges and Research Directions Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:31.801377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d928ff92-fcb1-48c5-ad40-0d9fc008c01e · inbound

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

Agentic AI for Remote Sensing: Technical Challenges and Research Directions Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.722044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70b9043a-4f41-462e-9d0e-ea2bf7de8d3e · inbound

Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents cites this paper.

Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:31:12.059164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d4d6dabf-3d11-4ef0-8528-c6a447e6a33b · inbound

SLIP-RS: Structured-Attribute Language-Image Pre-Training for Remote Sensing Object Detection cites this paper.

SLIP-RS: Structured-Attribute Language-Image Pre-Training for Remote Sensing Object Detection Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:16:39.422328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b47e7b47-0cdf-48ba-a46d-6884a586b00a · inbound

OmniCD: A Foundational Framework for Remote Sensing Image Change Detection Guided by Multimodal Semantics cites this paper.

OmniCD: A Foundational Framework for Remote Sensing Image Change Detection Guided by Multimodal Semantics Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:13:16.014150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.