Paper Citation Record · LEDGER

Decoding the Stressed Brain with Geometric Machine Learning

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.00587.

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

pith.paper-citation-record.v1
2506.00587 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:07:36.983888Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

27 of 27 outbound references displayed

verified exact3
verified fuzzy19
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6000eb8e-ec1c-4151-bb9f-0b5b4a6919fe · outbound

This paper cites Journal of integrative neuroscience21(1), 20 (2022).

Decoding the Stressed Brain with Geometric Machine Learning Journal of integrative neuroscience21(1), 20 (2022)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:42.326455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ed8a602-60bc-461d-9892-ba829e103ba3 · outbound

This paper cites Nature Reviews Neuroscience10(3), 186–198 (2009).

Decoding the Stressed Brain with Geometric Machine Learning Nature Reviews Neuroscience10(3), 186–198 (2009)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:42.102395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00754155-9389-4807-a8e3-ce8385c750d3 · outbound

This paper cites Biomedical Signal Processing and Control60, 101989 (2020).

Decoding the Stressed Brain with Geometric Machine Learning Biomedical Signal Processing and Control60, 101989 (2020)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:41.910178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50c30b3d-272d-4ff1-b681-986860f5c1e0 · outbound

This paper cites Journal of Electrical Systems20(11s), 3310–3327 (Nov 2024).

Decoding the Stressed Brain with Geometric Machine Learning Journal of Electrical Systems20(11s), 3310–3327 (Nov 2024)

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T12:07:37.174055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24606c96-5bbf-4814-9bef-bc626b1c95de · outbound

This paper cites Measuring Stress: A Guide for Health and Social Scientists10(2), 1–2 (1994).

Decoding the Stressed Brain with Geometric Machine Learning Measuring Stress: A Guide for Health and Social Scientists10(2), 1–2 (1994)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:41.757536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3575c93-d97e-408f-9cab-743d2098037c · outbound

This paper cites IEEE Signal Processing Letters29, 1574–1578 (2022).

Decoding the Stressed Brain with Geometric Machine Learning IEEE Signal Processing Letters29, 1574–1578 (2022)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:34.709670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ce5fd73-031c-4854-a65f-ad880646600f · outbound

This paper cites Data in Brief40, 107772 (2022).

Decoding the Stressed Brain with Geometric Machine Learning Data in Brief40, 107772 (2022)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:41.481334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d213ce5e-bf5a-42b5-9c18-537a4f78ec4c · outbound

This paper cites Neurocomputing609, 128445 (2024).

Decoding the Stressed Brain with Geometric Machine Learning Neurocomputing609, 128445 (2024)

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T12:07:38.605121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd1c81d4-b961-45e3-bd19-5106caabf9a9 · outbound

This paper cites Brain Sciences13(9), 1340 (2023).

Decoding the Stressed Brain with Geometric Machine Learning Brain Sciences13(9), 1340 (2023)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:41.296269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 645bb663-5ce8-4b33-ba26-343df394dc49 · outbound

This paper cites Elec- troencephalogr.

Decoding the Stressed Brain with Geometric Machine Learning Elec- troencephalogr

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:41.121022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cbbdb67f-46a4-4dc7-957c-8c4bbf85236b · outbound

This paper cites Electronics10(22), 2840 (2021).

Decoding the Stressed Brain with Geometric Machine Learning Electronics10(22), 2840 (2021)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:40.933208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea3de369-73c4-42b8-b528-8c900e23e359 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Decoding the Stressed Brain with Geometric Machine Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:35.628366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b51311-f0b9-4381-9703-0b178aadbd68 · outbound

This paper cites Journal of Neural Engineering19(2), 026039 (2022).

Decoding the Stressed Brain with Geometric Machine Learning Journal of Neural Engineering19(2), 026039 (2022)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:40.749583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd60b4ab-66f7-4d36-801b-7738df5b94ff · outbound

This paper cites Brain Informatics11(1), 30 (2024).

Decoding the Stressed Brain with Geometric Machine Learning Brain Informatics11(1), 30 (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:40.586500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6607c763-5ef4-4641-a59f-7925352e7628 · outbound

This paper cites arXiv preprint arXiv:2402.01138 (2024).

Decoding the Stressed Brain with Geometric Machine Learning arXiv preprint arXiv:2402.01138 (2024)

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-07T12:07:38.359779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59783ae1-1f8b-4c9e-abe9-9f2fb85fd33c · outbound

This paper cites Neural Computing and Applications34(22), 19819– 19830 (2022) 14 S.

Decoding the Stressed Brain with Geometric Machine Learning Neural Computing and Applications34(22), 19819– 19830 (2022) 14 S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:40.394833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6781e28-e85e-4ff2-9ffd-43f4f3f2ffae · outbound

This paper cites Results in Control and Optimization 11, 100231 (2023).

Decoding the Stressed Brain with Geometric Machine Learning Results in Control and Optimization 11, 100231 (2023)

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T12:07:38.118527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad64d7ba-1acd-4ab4-b9cf-e8a90787a9a0 · outbound

This paper cites An- nals of the New York Academy of Sciences840(1), 33–44 (1998).

Decoding the Stressed Brain with Geometric Machine Learning An- nals of the New York Academy of Sciences840(1), 33–44 (1998)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:40.181563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b0c15c4-adce-40f5-8e82-1239f6cf39b0 · outbound

This paper cites In: 2023 IEEE Applied Sensing Conference (APSCON).

Decoding the Stressed Brain with Geometric Machine Learning In: 2023 IEEE Applied Sensing Conference (APSCON)

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-07T12:07:37.692945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59df60cf-7dd0-40f0-a2cf-142e58ffa9be · outbound

This paper cites NeuroImage52(3), 1059–1069 (2010).

Decoding the Stressed Brain with Geometric Machine Learning NeuroImage52(3), 1059–1069 (2010)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:39.967727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38ecb0fb-aab9-4016-8810-f11746757e37 · outbound

This paper cites Human Brain Mapping43(17), 5194–5209 (2022).

Decoding the Stressed Brain with Geometric Machine Learning Human Brain Mapping43(17), 5194–5209 (2022)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:39.797168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b5b2a54-d5f1-4c60-b664-482251ae82e5 · outbound

This paper cites In: International Conference on Pattern Recognition.

Decoding the Stressed Brain with Geometric Machine Learning In: International Conference on Pattern Recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:39.639694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37f828ab-728d-49ed-b1b0-eb6a4d56a525 · outbound

This paper cites Brain Informatics8(1), 13 (2021).

Decoding the Stressed Brain with Geometric Machine Learning Brain Informatics8(1), 13 (2021)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:39.458487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc14207e-d509-48d3-9961-3657b5f86f8b · outbound

This paper cites Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis.

Decoding the Stressed Brain with Geometric Machine Learning Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:07:37.354556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44422efd-3929-4dd8-afef-d5ceec1730fe · outbound

This paper cites Sensors25(5), 1293 (2025).

Decoding the Stressed Brain with Geometric Machine Learning Sensors25(5), 1293 (2025)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:39.253466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b919ef49-54dd-4ef5-9e5b-79c6f7d22b36 · outbound

This paper cites In: Cyber-enabled intelligence, pp.

Decoding the Stressed Brain with Geometric Machine Learning In: Cyber-enabled intelligence, pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:39.047274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7bc9df8-896a-4eb6-8b4e-18bdfb48d0f7 · outbound

This paper cites Biomedical Signal Processing and Control7(3), 303–308 (2012).

Decoding the Stressed Brain with Geometric Machine Learning Biomedical Signal Processing and Control7(3), 303–308 (2012)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:38.881691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.