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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

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

source=pdf_text observed=2026-08-06T00:28:58.059744Z digest=sha256:691fb322dacae3c39f127779d6e75321fa2d575d900832d5b45164c3098bd36a

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=sha256:8719b6a95b831c58cc341bd26dc3b2f9a8ee5b7cc47d83601f300cdf86530428

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

source=pdf_text observed=2026-08-06T00:28:58.475257Z digest=sha256:79a8dadfbd97b2d73c17054aca067b03a1cb9c4da8d07021d71d46a79c667cc1

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

source=pdf_text observed=2026-08-06T00:28:58.758798Z digest=sha256:3d806963497f580a83e7d7d65138697ab50fe08f5f335582ba6839e2b6a41249

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

source=pdf_text observed=2026-08-06T00:28:58.884691Z digest=sha256:f62e559260f44b73b1115d813f38b27f63757e441e34c96181b03517512c3cbe

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

source=pdf_text observed=2026-08-06T00:28:59.024467Z digest=sha256:e996fb3ee684957ac779a1710bd0645e22410b2aadb97535e82414f637625f34

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

source=pdf_text observed=2026-08-06T00:28:59.155466Z digest=sha256:062e93d0ff7327b54975cd76bbe75bbb3b409e7816f788447d907ba3b2295038

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

source=pdf_text observed=2026-08-06T00:28:59.273792Z digest=sha256:44b2434a555e399ea264a2b4c93bbe9c431cb304fcf81ec31c910d8641fcdc08

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

source=pdf_text observed=2026-08-06T00:28:59.407991Z digest=sha256:d335d3bb2ee67f1d6d583ffea210dd3ea3cac69777d0657f975eda1b101b7bcb

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

source=pdf_text observed=2026-08-06T00:28:59.580953Z digest=sha256:298c2f08b2e7664af66aece5c52075765a63746cb54d7cb6398f7d501c420188

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

source=pdf_text observed=2026-08-06T00:28:59.737879Z digest=sha256:fd9aa1ad8d206f30f421c394873e7890c0c81c876ac282a4f713cb2336d6ea1d

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

source=pdf_text observed=2026-08-06T00:28:59.825226Z digest=sha256:625efa0b600aab68473be042ba722444574e04bc7fe21750ca84333c57eede9f

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

source=pdf_text observed=2026-08-06T00:28:59.948688Z digest=sha256:65523f57d283e89e97e188623d41d36109d0578bdd207345c1357f793347c6e8

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

source=pdf_text observed=2026-08-06T00:29:00.053396Z digest=sha256:3f9f8af698098dac94ce9ad10f9baab24f9a9b758492340ab79ebc7744d5b55d

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

source=pdf_text observed=2026-08-06T00:29:00.184815Z digest=sha256:ed0830b58db0501e378a729672dc31f695e6faeffd42fcfd2acc487fb53c9940

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

source=pdf_text observed=2026-08-06T00:29:00.314748Z digest=sha256:bde8eecb05ae25f735ab41975d6069d628ba2773b8493c34783dc41f612f0adb

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

source=pdf_text observed=2026-08-06T00:29:00.458764Z digest=sha256:a13e871b63779e1f84c46a1954fd7304d07fe3da1e02114a01acbe7f1b9b13ae

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

source=pdf_text observed=2026-08-06T00:29:00.553940Z digest=sha256:9daca596324055e4bc6900c5a242d2d321f809315d8afe0a40b2d2753b808db9

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

source=pdf_text observed=2026-08-06T00:29:00.648860Z digest=sha256:7d0b2c6fdf34ea9b382ad06af4037ddea03853b91d665ef3e270ca4f615ba9f1

Pith citing papers

No inbound Pith citation observations are available.