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Paper Citation Record · LEDGER

A Billion-scale Foundation Model for Remote Sensing Images

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.05215.

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

pith.paper-citation-record.v1
2304.05215 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:29:59.371089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:16:39.431991Z

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 1b2eb232-cbb3-4ddf-96b2-24e4698f7aed · inbound

Distributed Cross-Channel Hierarchical Aggregation for Foundation Models cites this paper.

Distributed Cross-Channel Hierarchical Aggregation for Foundation Models A Billion-scale Foundation Model for Remote Sensing Images

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T22:29:59.371089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:29:59.371089Z digest=sha256:b6a49b326c7c83370ecfcc34a871ac23fb91f94f00a0960f6f8fff90654a4e91

Observation e0374c22-d858-40c9-90ab-8fbde5a0086e · inbound

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation cites this paper.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation A Billion-scale Foundation Model for Remote Sensing Images

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:14.733114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:14.733114Z digest=sha256:319849fdfab5fb29e9dc6da9ece0bb7f9d22533007b52d91daf30231250d4867

Observation 48319c15-b5a1-4410-99aa-9c0046f4f2d0 · inbound

SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing cites this paper.

SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing A Billion-scale Foundation Model for Remote Sensing Images

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T16:21:13.935816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:21:13.935816Z digest=sha256:6a3831ad07b220be38cd3711e924a6e8a781fa6999a4e3e8f08a10a9da386f13

Observation ff9d61d8-e25c-4ea8-b1f9-dc8c070e7ebd · inbound

Artificial intelligence for methane detection: from continuous monitoring to verified mitigation cites this paper.

Artificial intelligence for methane detection: from continuous monitoring to verified mitigation A Billion-scale Foundation Model for Remote Sensing Images

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:19:04.574773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T05:18:25.065981Z digest=sha256:db42d2ab3502b20369fda99067bc93daa9520a0b03fd64ebd2cffce4b97a4013

Observation 97f27891-fdd1-4d3e-9af8-031fa12002fe · 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 A Billion-scale Foundation Model for Remote Sensing Images

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:16:39.434448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T05:15:24.845546Z digest=sha256:7a695776a71187db02dd43118e6298df41659bf2db920d2cbb1080abea5e35ad