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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.417185Z digest=sha256:cb5bb1028031980bd33c4309ba0d492c721e68c79a396446a249819d8fffc307

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.423148Z digest=sha256:eaedb41e16ed0ad3e5307216cc0d6f5889072b3afffe1b1d92b4456cb010b7ff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.429923Z digest=sha256:45e6f589bb1f07bacc68070b1233f1ea6631b026d148699fa37d5e7aabd4f238

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.436601Z digest=sha256:235af915ade36e17aea51ec72d461d2bf49a9e274b6cd07ae45b0ce225a6d034

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.442800Z digest=sha256:5a0aa97ed4fa77c5c9751d1fc7697d16590827a9af7e06c0933adc982b623c8f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.449573Z digest=sha256:02be5d1f4100be2a36ab009768ebbe4dc0d0f4ed5c9dd359c8e81ee5d326978d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.459052Z digest=sha256:9f8260aefb47cfddced87638bb4290bdc821de9c7ebbbfb5043294d1cd655a53

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=sha256:76b34ba742247ef286412cf4a79b67339781c6cd082daef91b8014da6069fac0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.486713Z digest=sha256:dd2f0d98b4f0e1b735a72a99fa1ea95e28bc2b55ba6914a5503ef8a496682f53

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.501430Z digest=sha256:2f0d4d0f06dbd8e4c6ed6dd9baebdc62771c9ea1a9e6fda46e474a9eae92a0b6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:35:24.508339Z digest=sha256:d2f9f7cdae8b7d36bb7b1064c4cca15ff8b0e03b775f1db34652a4a30187f803

Pith citing papers

No inbound Pith citation observations are available.