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Paper Citation Record · LEDGER

A Lightweight Sparse Focus Transformer for Remote Sensing Image Change Captioning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.06598.

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

pith.paper-citation-record.v1
2405.06598 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:41:08.053678Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T20:32:32.199183Z

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 3f872874-40fe-4ef9-8729-0803950f2591 · inbound

CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset cites this paper.

CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset A Lightweight Sparse Focus Transformer for Remote Sensing Image Change Captioning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:08.053678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:08.053678Z digest=sha256:390d350d5cb044d5e6461acb461232bed025f205fad54f40dec1717981860dd3

Observation 0aa2367e-4acd-4fbd-9ab3-18a958fec9d0 · inbound

RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts cites this paper.

RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts A Lightweight Sparse Focus Transformer for Remote Sensing Image Change Captioning

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:32:32.206515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:32:31.731956Z digest=sha256:f03769a4e9b093f4bc2a63cccbd31f78753f46b8d9828e31b2c9e07f0f4149ba