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Paper Citation Record · LEDGER

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening

As of 7 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2507.10461.

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

pith.paper-citation-record.v1
2507.10461 v3

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:35:24.508339Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

11 of 11 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2bac5dcf-d027-436e-ad68-cc1fe44cdfa6 · outbound

This paper cites H., Jung, J.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening H., Jung, J

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:35:24.728222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.417185Z digest=sha256:85e0d7373ba78256b9a995db460f01b8c194601d305c3edb2bb290fe9aa540d3

Observation 461b0cff-063e-4884-bb82-490a98df342f · outbound

This paper cites Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:35:24.656766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.423148Z digest=sha256:f9626f2c8033aad1f87d22eb4d8180249f6af757e056ff6418c514a335d8f70e

Observation 1b68d024-2c5f-471f-ab04-642263cc9568 · outbound

This paper cites an unresolved cited work.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:35:24.719825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.429923Z digest=sha256:e455b779b23889dacf876fea2bac34b10d8a04e6e4e8d330641d170fbb770992

Observation 3816a4ba-3f4c-40b5-bb13-7e57000c2119 · outbound

This paper cites an unresolved cited work.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:35:24.711564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.436601Z digest=sha256:10ca8e3697f09510cc8b6b2b1dd06d82307eb3f58345117808aea107c664926b

Observation 7f5052ef-d2bb-4ca2-bbd3-8fd8f23e5217 · outbound

This paper cites an unresolved cited work.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:35:24.702427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.442800Z digest=sha256:16d9d703edb59d44b6f198babbcc0ea09006d8c0daf120e604aa2c2f0c740222

Observation 7afa231c-3652-4c82-ad81-db4eb1efaa31 · outbound

This paper cites an unresolved cited work.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:35:24.693033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.449573Z digest=sha256:cc2b91a670fe852fcdebe68f5ea14fae9eb2de05779f56c551ee5b404adc4b2b

Observation 82cb7686-a680-45fe-aba7-9d90b31d3c2a · outbound

This paper cites an unresolved cited work.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:35:24.683764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.459052Z digest=sha256:e893a517dbb1239f9795189142feb8d84e6b114ae5551e667255e13540af129c

Observation 91545419-b45d-48e5-bae2-582237bdd311 · outbound

This paper cites an unresolved cited work.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:35:24.478806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:35:24.478806Z digest=sha256:9a194b4e880f3c6c70f318a73dca528e25c7769b24af0e40ce28a47195c0ea51

Observation fa4e6155-579b-4baa-8372-20b9a22ef989 · outbound

This paper cites R., Zhang, T.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening R., Zhang, T

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:35:24.673878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.486713Z digest=sha256:8f0810a1c88a2a22e56f736fb6b0d4714b94ad60b7580c7edaa8bf3bca5a82a3

Observation 54afb95b-1a72-489d-ad3b-017bde4ca2ba · outbound

This paper cites D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:35:24.559383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.501430Z digest=sha256:d53d10be90640d64ba57fc35fd0b90a768e0cf3fcc21112e78bb9cbca454118a

Observation 69ec65a3-7551-45ad-8d4c-26867b50ab20 · outbound

This paper cites J., Vivone, G., Paoletti, M.

RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening J., Vivone, G., Paoletti, M

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:35:24.665716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:35:24.508339Z digest=sha256:72bf23620eebee1ba1d37cdcb2658e74ef07d80cec7ed93e5f223572c5f71a36

Pith citing papers

No inbound Pith citation observations are available.