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Paper Citation Record · LEDGER

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction

As of 11 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2608.01202.

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

pith.paper-citation-record.v1
2608.01202 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:29:00.648860Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f1a57bf-f41a-482b-b711-95397081b23b · outbound

This paper cites A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T00:28:57.987038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:28:57.987038Z digest=sha256:34f8cce7245beca8787915fe531c4dbb28d09377b402cc18bb8a3b6856297ab7

Observation 47f9196d-0140-4700-93e5-d0418af67514 · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:05.047770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:58.059744Z digest=sha256:4dd3965a5760231ccf3a41d2256d1b9005549801e1bd861871f2e4c7d2867d8c

Observation de598d65-12b8-42e8-8f95-c691364e98fa · outbound

This paper cites SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T00:28:58.182750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:28:58.182750Z digest=sha256:a408cba6bb2248e6957ab6cce53ccaf8319f6a25c01561a67a31e3a3f06213e1

Observation bd794c34-3804-475a-abfa-e16907cae513 · outbound

This paper cites Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T00:28:58.333869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:28:58.333869Z digest=sha256:822fdbfcf2db61d7b838469fb6aed417903902b92c3d2b7aab073b7d30d142d8

Observation 02cfdb2f-aa05-4249-8aef-4027acc79a4e · outbound

This paper cites B., and Benediktsson, J.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction B., and Benediktsson, J

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:29:04.841214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:58.475257Z digest=sha256:f6d6f613826a8da929a8d21aa51a1297c5916aee54ff6b13e1ac5d5833a37e8c

Observation c3523132-07ce-4cd0-ac31-f9f1053b004e · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:04.620191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:58.758798Z digest=sha256:e26e88a0f80dc02b9afdea16e4f2a1e054b7b7c3d69f6c0a1a98a2f5b472b951

Observation 205f7237-0670-44d1-ae48-811502dbb04f · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:04.453277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:58.884691Z digest=sha256:faade47761b50a0f6b2ce4122caa0b8fc4ebed4a7866a453c9a0dd20b896ceea

Observation d0d523e3-6d02-4479-9805-6950f2b55db4 · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:04.204845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:59.024467Z digest=sha256:d3f223cddbf8ae26ebbe3062cd8c6d6079cd8372b90df4baf8b4aed176de2923

Observation 9fc9d400-4604-4b0b-849d-caea5389927c · outbound

This paper cites S., Rambabu, M., and Dua, Y.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction S., Rambabu, M., and Dua, Y

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:29:04.011844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:59.155466Z digest=sha256:e8535ef8f7d6d5ef528e2902101111a2cc2d9ea71888795ebb6d33513bca8cd3

Observation adea955b-89e2-4503-b06d-dd85eaa020ff · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:03.851398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:59.273792Z digest=sha256:d667e3852e7dff0ee2cde333a949e4c0a218576c56687c6e2808053889217712

Observation 8d4ffd9f-6f29-4e35-b913-31ff0b28e45a · outbound

This paper cites and Young, S.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction and Young, S

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:29:03.650580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:59.407991Z digest=sha256:f5e492169de3285df2dfdf60e7076b5602f5ac01a5a3276f3a8791c3a0f326b1

Observation 87fb29e4-926b-4877-be79-0229b5e27da0 · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:03.431351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:59.580953Z digest=sha256:76931745158828ce158123f63213d07a85ecceae6f19f260afe2480fce38750a

Observation 5a6d9faf-d21c-46be-94b4-862142a6c1ed · outbound

This paper cites E., Haut, J.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction E., Haut, J

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:29:03.149194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:59.737879Z digest=sha256:9dc4ae98b6f864a0475cdc681f602b18ac829fb2dd1e64282eade71f14aad7b9

Observation 8d10a603-392f-4776-8b5a-276cae60fefc · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:02.924814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:59.825226Z digest=sha256:d0f806563846fdee5de87d31ac685afbc27e65864e4cb440fa8b20f66d2507c1

Observation 8a0e5927-e85b-418f-bdf1-a1254a6b4681 · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:02.692384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:28:59.948688Z digest=sha256:ec5d067a8945c3babdb50f5c174bdd586e49f23df430ff0d243275002cd959fa

Observation e4fab53b-aeaa-405d-87f8-0ccd470bfa69 · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:02.359621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:29:00.053396Z digest=sha256:4200705839aa140c78a47647f47f87a86fdbe4d79f12b6a557a0554f72a4bb7a

Observation 376c23ce-85bb-423c-a5ba-5cb087da1523 · outbound

This paper cites K., Krishna, G., Dubey, S.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction K., Krishna, G., Dubey, S

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:29:02.157206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:29:00.184815Z digest=sha256:0b9b98a0fb8af6d6ffcab327ab653d5e3bc617ea5708aa04604b8567050ed526

Observation 4eabd5a4-c482-4e09-85de-5a9d59128ce8 · outbound

This paper cites A., Frank, H., and Zell, A.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction A., Frank, H., and Zell, A

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:29:01.899925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:29:00.314748Z digest=sha256:2725c2fb60f0c9f1282b64848b53f51f7263c1ea1f14f30692c68c4fd7f08dde

Observation a55d2da2-5b18-4e08-a60f-9247e77d3b3e · outbound

This paper cites A., Makowski, J., and Zell, A.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction A., Makowski, J., and Zell, A

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:29:01.568048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:29:00.458764Z digest=sha256:898ef02400b3173fa83cdb471238ad0f728cef57a731a14ee5361d7e1310543e

Observation 644a10dc-28ea-4c07-9da1-62de880dca57 · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:01.285483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:29:00.553940Z digest=sha256:6386b46745771459c16157ca81019095a916780a69cf6c7161081c297f150ca3

Observation 10f42853-a0c4-47aa-b4fa-c7abeae8d8a6 · outbound

This paper cites an unresolved cited work.

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:29:00.950810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T00:29:00.648860Z digest=sha256:75f534a3eb7e3a1681377e4878a065a60657c1415d59af68153ba1a28598af0f

Pith citing papers

No inbound Pith citation observations are available.