Paper Citation Record · LEDGER

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2505.21901.

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

pith.paper-citation-record.v1
2505.21901 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:25:08.779920Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy18
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1468520a-fb00-4144-85ff-680c18904c0b · outbound

This paper cites The State of World Fisheries and Aquaculture 2024 – Blue Transformation in action.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives The State of World Fisheries and Aquaculture 2024 – Blue Transformation in action

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:17.108861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b2c0b63-711e-4622-91cc-09a3449af957 · outbound

This paper cites & Gao, H.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Gao, H

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:16.877537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cef7dcfd-e9e5-4b12-a0c1-98b2076e2892 · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:16.655701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 260abe11-7b74-4bfa-aab4-5a4489e542dd · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:16.437148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ba499352-d102-497c-982d-499ad72296e7 · outbound

This paper cites & Begum, S.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Begum, S

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:16.202359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6741f287-4243-424e-aa45-4728322f34fd · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:16.054610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a598965-60d8-4b47-8f82-9daabe13bff8 · outbound

This paper cites Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:15.856549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f5487d97-d332-45cd-b3ac-ab23379adb6e · outbound

This paper cites H., Xue, B., Zhang, M.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives H., Xue, B., Zhang, M

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:15.265174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6db5e00e-c8fe-4a1a-b096-444dff798bb8 · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:14.166499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3edd7f90-43c6-4b0f-bcc6-32649dc180a0 · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:13.740774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97bdaa4d-14e1-40b7-8476-5485b859e3a8 · outbound

This paper cites C., Killeen, D.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives C., Killeen, D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:13.251327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 361910b2-6d89-4648-b0f9-dbab27634fcc · outbound

This paper cites & Banzhaf, W.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Banzhaf, W

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:12.575364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 511c48f4-8006-488d-b8c9-5df286fc0780 · outbound

This paper cites & Zhong, J.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Zhong, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:11.986909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d574bca7-5f8e-4f11-92e1-3a104237634d · outbound

This paper cites Linear Genetic Programming for Multi-class Classification Problems.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Linear Genetic Programming for Multi-class Classification Problems

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:11.758192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d87e792-6fcf-478d-9f35-30fd59183c07 · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:11.601564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d0bead7-0ebf-488f-8890-0ded8c40c34c · outbound

This paper cites & Zhang, M.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Zhang, M

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:11.416749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b94ab20d-fb96-44dd-9e12-aba45d1bdc6c · outbound

This paper cites & Ochoa, G.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Ochoa, G

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:11.177989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c7fa851-75fa-4594-a7ac-8c6c966658a5 · outbound

This paper cites & Zhang, M.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Zhang, M

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:10.962568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7951f4ca-510a-40b3-aeb8-477581067659 · outbound

This paper cites & Zhang, M.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Zhang, M

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:10.816307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b007e492-b5ca-48cd-8b18-236c65faa9f0 · outbound

This paper cites Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:07.930424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5597a673-9669-4d86-9fa6-3b3839f763e8 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives mixup: Beyond Empirical Risk Minimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:07.995784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 022161ee-3bcf-4deb-955c-fd66a440ecc3 · outbound

This paper cites & Eriksson, L.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Eriksson, L

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:10.624544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9af5240f-86cb-4da3-ae6f-2c40a0214670 · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:10.381284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 36b0b669-faee-4b0c-99db-854a36b9085e · outbound

This paper cites ECJ then and now.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives ECJ then and now

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:10.166322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2cd38ea0-7c0b-4fc2-bc4c-a37cc49a2602 · outbound

This paper cites & Zhang, H.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Zhang, H

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:09.950370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29f03019-96e3-4a92-af77-230bf6dabb32 · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:09.668247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29d539e7-2d8e-4f66-8a94-9d534089564f · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:09.443261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 378cce68-672a-4ae6-b5a1-b33c2e0fc6e4 · outbound

This paper cites & Manzoni, L.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Manzoni, L

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:09.273112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 44bac60b-9d2a-4f6f-a516-b333df335caf · outbound

This paper cites an unresolved cited work.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:25:09.127399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3c0360e-cfba-4421-ae1f-068550dc5e73 · outbound

This paper cites & Punch, W.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives & Punch, W

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:25:08.994607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.