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Paper Citation Record · LEDGER

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems

As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.23872.

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

pith.paper-citation-record.v1
2506.23872 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:34:34.032900Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved2
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f110b553-0c3a-4b06-ae14-4fed76673d69 · outbound

This paper cites In: 2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainabil- ity (CIETES).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems In: 2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainabil- ity (CIETES)

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1a21bd8f-ed34-4dcc-b66c-d38140814efb · outbound

This paper cites Plos one18(5), e0285321 (2023).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Plos one18(5), e0285321 (2023)

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3929a85b-6a08-4386-bb36-970b0770445a · outbound

This paper cites an unresolved cited work.

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Unresolved cited work

Reference 3

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 47ae6ef5-1f93-46dd-afe8-d0a4df8dd329 · outbound

This paper cites In: Future of Information and Communication Conference.

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems In: Future of Information and Communication Conference

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 59bb8afe-1c79-4fb9-96b6-8453f9dd155a · outbound

This paper cites Buss et al.

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Buss et al

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 594fd69f-5c68-47ed-aec6-bb3313441343 · outbound

This paper cites Journal of artificial intelligence research 16, 321–357 (2002).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Journal of artificial intelligence research 16, 321–357 (2002)

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a5cc8c1a-578a-4d09-aedb-bd43eeb096d5 · outbound

This paper cites Neuro- computing 307, 72–77 (2018).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Neuro- computing 307, 72–77 (2018)

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2f6d2eae-7715-423f-b566-1a85f9694a3c · outbound

This paper cites In: 2015 23rd European Signal Processing Conference (EUSIPCO).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems In: 2015 23rd European Signal Processing Conference (EUSIPCO)

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5e6f6e95-0b0b-4173-854b-c6a1b3716adb · outbound

This paper cites Journal of Machine Learning Research 23(261), 1–61 (2022).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Journal of Machine Learning Research 23(261), 1–61 (2022)

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 82144ea2-1a3a-4e5b-ba10-2f99c0ab89d5 · outbound

This paper cites Advances in Neural Information Processing Systems 28 (2015).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Advances in Neural Information Processing Systems 28 (2015)

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9f592096-cf8b-4bdb-a310-b80187a2a680 · outbound

This paper cites Communications Materials 2(1), 103 (2021).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Communications Materials 2(1), 103 (2021)

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ad03605c-2dd1-40e2-bdb4-af8257cc0867 · outbound

This paper cites Journal of Open Source Software4(33), 1132 (2019).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Journal of Open Source Software4(33), 1132 (2019)

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 99c37732-8fa5-4921-916b-ec224d8b14d5 · outbound

This paper cites Plants9(5), 587 (2020).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Plants9(5), 587 (2020)

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d43da883-d569-4520-9f13-2ef2971e5e6a · outbound

This paper cites In: 2015 IEEE symposium series on computa- tional intelligence.

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems In: 2015 IEEE symposium series on computa- tional intelligence

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f8a21e35-13d9-48c6-9512-edfc54897abb · outbound

This paper cites Plant Physiology185(3), 694–706 (2021).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Plant Physiology185(3), 694–706 (2021)

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4a2cd1b9-0c36-4cf0-827b-6270f476de09 · outbound

This paper cites Journal of Plant Physiology261, 153418 (2021).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Journal of Plant Physiology261, 153418 (2021)

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 896480a0-383c-4902-b006-e76fd0cf2a8f · outbound

This paper cites SciPy 445(1), 51–56 (2010).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems SciPy 445(1), 51–56 (2010)

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 030adece-5d5e-409c-ac4f-7ad07bc748f9 · outbound

This paper cites Journal of Ecology93(3), 632–648 (2005).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Journal of Ecology93(3), 632–648 (2005)

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b2c55159-c793-4602-9fda-701aca76c708 · outbound

This paper cites Machine Learning 112(4), 1131–1170 (2023).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Machine Learning 112(4), 1131–1170 (2023)

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0e5bbeeb-e3c0-40d5-baf9-72e3a7a325cc · outbound

This paper cites Journal of Machine Learning Research12, 2825–2830 (2011).

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Journal of Machine Learning Research12, 2825–2830 (2011)

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bf8e93d0-0917-46e1-b3f1-76b4efff8f40 · outbound

This paper cites an unresolved cited work.

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9267ca61-4442-4a75-b7f1-bfc241d5dc98 · outbound

This paper cites In: Plant Electro- physiology: Signaling and Responses, pp.

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems In: Plant Electro- physiology: Signaling and Responses, pp

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4013d517-ad45-4172-a1fd-2500d3a23825 · outbound

This paper cites Automated Machine Learning: From Principles to Practices.

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Automated Machine Learning: From Principles to Practices

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.