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Paper Citation Record · LEDGER

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives

As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.07666.

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

pith.paper-citation-record.v1
2507.07666 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:38:31.232932Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved5
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7aba88f-4c1c-4bb7-a667-32aa285b1bd4 · outbound

This paper cites S.; Martin, M.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives S.; Martin, M

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:37.981540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:28.942204Z digest=sha256:c74eb659e678007c7f01504e2b57b69ca38d2caa649d3624ed854fece616f4a5

Observation 907bb872-c792-4e2c-9b02-c1d01a6ab2f8 · outbound

This paper cites an unresolved cited work.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:38:32.344391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.952219Z digest=sha256:d1396ff80b74a4c7c5e72dc83dc53e4d950fc0e2b6283353cfdb62cd0ad1037d

Observation 5f17c6ef-0fe4-41e1-8a73-97a89f50a716 · outbound

This paper cites C.; Jiang, X.; Wei, D., Prediction of Protein Solubility Based on Sequence Feature Fusion and DDcCNN.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives C.; Jiang, X.; Wei, D., Prediction of Protein Solubility Based on Sequence Feature Fusion and DDcCNN

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:31.771365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cef51689-d79d-4360-afad-01dbc19ba204 · outbound

This paper cites BMC Biol.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives BMC Biol

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:31.952007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:31.128974Z digest=sha256:39f9c681c83f1066707623f767d141757beae814b9e2c0c610e42f497b7049e1

Observation c96672d7-5850-40ac-a7d4-bb9b677a1886 · outbound

This paper cites E.; Knotts, M.; Shaw, A.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives E.; Knotts, M.; Shaw, A

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:32.735502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.871872Z digest=sha256:9c64c2a57bfdd5dfbb6ee528fd5e0057f01f7e9ee692563e3c284868fa6dc31f

Observation b1eee9e0-6a55-4135-b18b-4e30b8067e8e · outbound

This paper cites 2023 IEEE BIBM, 2023, 11-.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives 2023 IEEE BIBM, 2023, 11-

Reference 118

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:32.166214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:31.035099Z digest=sha256:156b9a48d699814cf7db75aa18bd9421c43e07b69adf029a67f9e394121d9594

Observation 69ed96e9-5fb8-4170-9a74-e4f794b423ed · outbound

This paper cites S.; Nantasenamat, C.; Shoombuatong, W., A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives S.; Nantasenamat, C.; Shoombuatong, W., A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides

Reference 285

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:34.470900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.078749Z digest=sha256:02af3f9ad267748d0f9479ee50cbc3ddaca4b94c62390717343a51b2c714fe27

Observation 81a35789-2498-4808-948c-a86085bc5e37 · outbound

This paper cites piSAAC: Extended notion of SAAC feature selection novel method for discrimination of Enzymes model using different machine learning algorithm.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives piSAAC: Extended notion of SAAC feature selection novel method for discrimination of Enzymes model using different machine learning algorithm

Reference 331

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:38:31.486301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.500911Z digest=sha256:69d6f4cd4720cd4a8f5578e1c64bcbeb09bfffee24ceff936d53f9569cf0924a

Observation 1095dcbb-581d-4c79-8c29-79c32495561d · outbound

This paper cites an unresolved cited work.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives Unresolved cited work

Reference 334

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:38:37.634202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:28.980256Z digest=sha256:1af720302cdafd7fd5a7be9505357696b7cb893794511094eeda907ce96a4f92

Observation d552553b-90d5-484f-8205-daf4ccc7a465 · outbound

This paper cites M.; Hughes, M.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives M.; Hughes, M

Reference 1160

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:37.409770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9acbdf3d-09f8-4110-b62a-74741602e0c3 · outbound

This paper cites E.; Beckham, G.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives E.; Beckham, G

Reference 1420

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:33.157294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.778506Z digest=sha256:6fc03c347cc344132f342265b8c2d32332d4fa8e472fd55841fec2572f65853e

Observation 25b0612e-258d-44b5-b983-fbde93283a25 · outbound

This paper cites an unresolved cited work.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives Unresolved cited work

Reference 2020

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:38:33.482846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.633576Z digest=sha256:ba5f35095462523d1b962b361d8713c613781000e5d0595a2dfceb756793ae08

Observation 0fd8c08d-cdf9-4283-9bab-35520f7ec2ca · outbound

This paper cites R.; Park, M.; Kosaraju, S.; Lee, J.; Lee, H.; Lee, J.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives R.; Park, M.; Kosaraju, S.; Lee, J.; Lee, H.; Lee, J

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:36.191184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:29.490184Z digest=sha256:d316d14b46fa8a1a7995a9f8a72c4f7fb11d4c0d13f20e30d20fec8a8d8de833

Observation 353034c6-b76a-433d-97e7-1301f748b181 · outbound

This paper cites Methods 2023, 218, 141-148.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives Methods 2023, 218, 141-148

Reference 2217

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:33.730878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.383911Z digest=sha256:34ed571e38a7c67e31bbc3b37b5d00cd2ff155589459f175748ac697c8167913

Observation 6c46e9e6-9008-407d-a250-e794f4568115 · outbound

This paper cites H.; Sarma, V.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives H.; Sarma, V

Reference 2787

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:35.914289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:29.603332Z digest=sha256:4b9da4c6a650613b38203341ee859fe75ed2a7c100a5367ade834f86bcca7bf4

Observation c9ef5de3-631b-4347-ae9d-380a2c6f8fbc · outbound

This paper cites P.; Costa, R.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives P.; Costa, R

Reference 2858

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:34.028527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.283186Z digest=sha256:42437e92fc1355520c460403e1b34c02e734b5b726c96a1ba10350b0498a9497

Observation 4b9e7698-974e-4fdf-b1c3-2e360f9ca5d1 · outbound

This paper cites L.; Casadio, R., BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives L.; Casadio, R., BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation

Reference 3168

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:37.096248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:29.210925Z digest=sha256:e73b1ffc50828a68a883b262cb48d7dedde2d81a8f3a89c472b4c68fb115fe64

Observation f9a3c2ab-de96-4ff5-8da5-4ea72853c651 · outbound

This paper cites D.; Luo, X., UniKP: a unified framework for the prediction of enzyme kinetic parameters.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives D.; Luo, X., UniKP: a unified framework for the prediction of enzyme kinetic parameters

Reference 4139

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:35.416387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:29.852110Z digest=sha256:6f033cd2bfd47e1c86791e874909d3c995e0fb5bf34e6ff7443567e62dc74f10

Observation b7f285ce-42fd-4e0b-a871-583fb9596b1c · outbound

This paper cites B.; Purcell, A.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives B.; Purcell, A

Reference 4496

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T18:38:36.822666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:29.306994Z digest=sha256:ceacf7733be7ac27a0b40cccd921af533a545890b82fd229a6c2dbaede8d667f

Observation 8890ec32-2643-42cc-b333-09d20c8cb7c4 · outbound

This paper cites an unresolved cited work.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives Unresolved cited work

Reference 5252

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:38:35.676256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:29.719014Z digest=sha256:272ef19cc94cca5691d1a27524e03a6a5e8de0f21ac017b365dc17a4a40cc17f

Observation 4a04a697-26ea-4c10-990f-80b5347a9c06 · outbound

This paper cites Research 2023, 6,.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives Research 2023, 6,

Reference 7370

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:36.502415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:29.391122Z digest=sha256:cf03e178c6485614ae9614ea9e2e8baa7660444364b7c257caf3096d1c85811b

Observation 71fd7a45-8859-4d07-ab4f-ec676f3de800 · outbound

This paper cites an unresolved cited work.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives Unresolved cited work

Reference 7444

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:38:34.737267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.016574Z digest=sha256:84c444e153f63d1b26bdab774b5e44aca94ac4d7cb45c7bbb91d42977a98f2f9

Observation f854e076-7b82-4330-a82b-7ebe21a66dfa · outbound

This paper cites H.; Jiang, J.; Li, M.; Zou, Q.; Lv, Z.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives H.; Jiang, J.; Li, M.; Zou, Q.; Lv, Z

Reference 7850

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:34.235351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:30.169080Z digest=sha256:ff8c51896cbf5fc47181d990ab0f1b17d1d6711d2651ae0ed39a920ed3a76cac

Observation 1532ca05-67f5-403e-876f-b45b16946c51 · outbound

This paper cites X.; Yu, H.; Zhu, B.; Long, Y.; Wu, M.; Shi, J.

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives X.; Yu, H.; Zhu, B.; Long, Y.; Wu, M.; Shi, J

Reference 8211

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T18:38:35.087852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:38:29.957657Z digest=sha256:b12e9083513402f2ae100b93cd43a5b6fa567eaccdf60245ccc96a232f6de8db

Pith citing papers

No inbound Pith citation observations are available.