Paper Citation Record · LEDGER

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics

As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.25636.

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

pith.paper-citation-record.v1
2607.25636 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:54:55.753744Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

45 of 45 outbound references displayed

verified exact14
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc44ca0e-1961-44e4-930e-52857d36826e · outbound

This paper cites Acquarelli, T.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Acquarelli, T

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:54.284011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997d0ca7-938f-4fae-a53e-543339d75513 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-08-01T01:55:56.845804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a0b83a68-f993-49cf-84a2-4c646f7493a0 · outbound

This paper cites Anderson, K.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Anderson, K

Reference 3

Resolution: verified exact; doi, observed 2026-08-01T01:55:56.767991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c0b4525-ae6f-41b0-b643-7e9332b471fb · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:54.717274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a4015e-aab6-4826-9acb-36a90dcd92cc · outbound

This paper cites Benjamini, Y.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Benjamini, Y

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:54.843606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad8eec7b-d7f4-4904-a5cf-bbe84c88a8b9 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:54.994052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e95874e3-2d4e-4627-a911-c20c2baa412b · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.205151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627c3e73-50f7-4d46-be1c-4ccf530f70c7 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-01T01:55:56.707694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e35e2de-ae28-4a00-9c2e-b29e58bfe953 · outbound

This paper cites Dirks, D.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Dirks, D

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.479093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4653e9-27a0-4cf0-969b-9765dc8f0182 · outbound

This paper cites Elsken, J.H.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Elsken, J.H

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.590634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d12d29-91bd-4450-ae9b-9495cc645b69 · outbound

This paper cites Feurer, J.T.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Feurer, J.T

Reference 11

Resolution: verified exact; doi, observed 2026-08-01T01:55:56.545579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 157a0079-110b-4d16-b526-d6a7d6db6d34 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.617008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 407914af-5e80-4944-ad8c-f348fff52783 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.620775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac71776e-e516-4e5e-98a4-2b54382b3537 · outbound

This paper cites Haffner, M.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Haffner, M

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.624853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36c8a389-49b1-460b-bcae-7453ff873cd7 · outbound

This paper cites Helin, U.G.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Helin, U.G

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.628564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97748be3-8c7c-4f08-9086-9318734970be · outbound

This paper cites Iba \ n ez, J.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Iba \ n ez, J

Reference 16

Resolution: verified exact; doi, observed 2026-08-01T01:55:56.405428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 89652688-2cee-4da4-a0fe-e22a5d59bf61 · outbound

This paper cites Kerschke, H.H.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Kerschke, H.H

Reference 17

Resolution: malformed identifier; no resolver link, observed 2026-08-01T01:54:55.636337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d0f9b6b-695b-448a-97f5-d90571e5bfa6 · outbound

This paper cites Kusumiyati, Y.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Kusumiyati, Y

Reference 18

Resolution: verified exact; doi, observed 2026-08-01T01:55:56.308855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af84c763-97be-45a1-aa53-fe1148fe08af · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-08-01T01:55:56.206720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e065469f-6085-4e8a-a4cd-0389d55b20fa · outbound

This paper cites Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.649159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc1feca0-43ba-4561-aa26-26f86ba682c4 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.653476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80dc5efd-d583-449d-adc3-ca8683af219c · outbound

This paper cites Mishra, D.N.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Mishra, D.N

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.661864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf36540b-4825-4680-a4a4-c95452b7cf36 · outbound

This paper cites Mishra, D.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Mishra, D

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.665967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c3e16b3-3a54-4531-9118-817bb4c36c14 · outbound

This paper cites Mishra, D.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Mishra, D

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.669657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac2ac682-a5b3-42a2-98f2-5f5c3cf5415a · outbound

This paper cites Mishra, D.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Mishra, D

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.673726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f793ffac-d4b5-48d9-b542-5c47c6c8f318 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-01T01:55:56.095834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1422ce9f-1cf5-4405-9f82-f203e6444be1 · outbound

This paper cites Pasquini, Near infrared spectroscopy: A mature analytical technique with new perspectives, Analytica Chimica Acta 1026 (2018) 8--36.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Pasquini, Near infrared spectroscopy: A mature analytical technique with new perspectives, Analytica Chimica Acta 1026 (2018) 8--36

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.681032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d11f74f-00f3-484d-8f53-58c6300b724e · outbound

This paper cites Passos, D.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Passos, D

Reference 29

Resolution: verified exact; doi, observed 2026-08-01T01:55:55.985021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76c79334-880b-4f52-9fff-3be17b6ca22b · outbound

This paper cites Passos, P.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Passos, P

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.688695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a63bcf9-527b-4c29-949e-b968a3d00672 · outbound

This paper cites Passos, P.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Passos, P

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.692245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81158b96-0f48-4c86-b1be-d53779c21ff5 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.695782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e240bfd-e7b2-4d95-b451-ac9b6706caee · outbound

This paper cites Passos, Convolutional neural networks in Vis–NIR chemometrics: From contradiction to conditional design, TrAC Trends in Analytical Chemistry 203, 119015, (2026).

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Passos, Convolutional neural networks in Vis–NIR chemometrics: From contradiction to conditional design, TrAC Trends in Analytical Chemistry 203, 119015, (2026)

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.699404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 361a8322-b1a3-4534-bcad-494c77d3b1ac · outbound

This paper cites Perrone, R.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Perrone, R

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.703527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 641f6812-38e1-4191-bebd-62c9b898040d · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.707788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73856555-1345-4436-a28e-583535bd62e0 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.712152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c95721-7afb-4731-ab24-0752938db634 · outbound

This paper cites https://doi.org/10.5281/zenodo.15838136.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics https://doi.org/10.5281/zenodo.15838136

Reference 37

Resolution: verified exact; doi, observed 2026-08-01T01:55:55.869835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e5efa66-6fbf-4a32-97a8-084aba20bd80 · outbound

This paper cites https://doi.org/10.5281/zenodo.15838272.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics https://doi.org/10.5281/zenodo.15838272

Reference 38

Resolution: verified exact; doi, observed 2026-08-01T01:55:55.723273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b63c3b22-7365-4709-af27-755c306ea9b5 · outbound

This paper cites Vanschoren, Meta-learning, in: F.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Vanschoren, Meta-learning, in: F

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.724201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7552bb8b-1f6c-49f1-b329-f5406b850fdc · outbound

This paper cites Workman, Interpretive Spectroscopy for Near Infrared, Applied Spectroscopy Reviews 31, 251-320, (1996) https://doi.org/10.1080/05704929608000571.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Workman, Interpretive Spectroscopy for Near Infrared, Applied Spectroscopy Reviews 31, 251-320, (1996) https://doi.org/10.1080/05704929608000571

Reference 40

Resolution: verified exact; doi, observed 2026-08-01T01:55:55.613669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fdaed394-6720-44b1-8f81-25f1ba0a5804 · outbound

This paper cites Walsh, A.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Walsh, A

Reference 41

Resolution: verified exact; doi, observed 2026-08-01T01:55:55.530921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b26b45a7-890c-4cc5-82ea-703e1f754bed · outbound

This paper cites Wistuba, N.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Wistuba, N

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.736414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 068ece9f-37ad-4f2a-be5c-1091787a380f · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 43

Resolution: verified exact; doi, observed 2026-08-01T01:55:55.451522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3aaa920-67df-41bd-b93f-3c3e76fb1978 · outbound

This paper cites an unresolved cited work.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.745613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cec39db-9b0b-4ac8-8ae6-ce7ffabee7b9 · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Multi-Scale Context Aggregation by Dilated Convolutions

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.749524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc562d27-d9b2-438b-a560-e18c3d5453a3 · outbound

This paper cites Zhang, T.

Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics Zhang, T

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:55.753744Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.