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Paper Citation Record · LEDGER

When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.07588.

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

pith.paper-citation-record.v1
2503.07588 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:59:17.520344Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:53:34.048305Z

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 d3e264e6-f628-409f-a961-abc6574e4bd9 · inbound

GeoVista: Visually Grounded Active Perception for Ultra-High-Resolution Remote Sensing Understanding cites this paper.

GeoVista: Visually Grounded Active Perception for Ultra-High-Resolution Remote Sensing Understanding When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:53:34.049871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:39:56.666424Z digest=sha256:1e30393b0cdd14802a511471950bbb5cecdbc5f1039b682652d768f467523b74

Observation 4c4dfee1-47cf-4cfc-aeda-075996c8f3bb · inbound

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding cites this paper.

WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-14T14:09:30.395518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:09:30.395518Z digest=sha256:f9a13f11dc1baec8381a500b6b8a62fb4cf8c708c20ea8e8b79d533330001a63

Observation e8b1fcf9-a2d4-49f6-847d-d4841751cd23 · inbound

Beyond Zooming: Learning Multi-Tool Visual Reasoning for Ultra-High-Resolution Remote Sensing cites this paper.

Beyond Zooming: Learning Multi-Tool Visual Reasoning for Ultra-High-Resolution Remote Sensing When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T00:59:17.520344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:59:17.520344Z digest=sha256:14c3e3af5830f4492c7c202da46513d4c54cad4b3c4fbe731d85811c7e0a2f2d