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Paper Citation Record · LEDGER

BrainPilot: Automating Brain Discovery with Agentic Research

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2607.15079.

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

pith.paper-citation-record.v1
2607.15079 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:18:55.275342Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:26:13.863812Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T00:26:14.907608Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd55cad3-b34e-43e8-97da-5b8cbc81935c · outbound

This paper cites (1) Build a position tuning curve.

BrainPilot: Automating Brain Discovery with Agentic Research (1) Build a position tuning curve

Reference 1

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malformed identifier
no resolver link, observed 2026-08-02T00:18:50.520665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:18:50.520665Z digest=sha256:59d5a4cf1ecc4df57d47ff50a06089357fbee0d6d173ba66f9ec56831e7dcee4

Observation a3c1286c-770b-4061-9806-470dd961f9b8 · outbound

This paper cites (1) For each place cell, draw a trial-by-position activity heatmap: x-axis is position, y-axis is trial, color encodes activity.

BrainPilot: Automating Brain Discovery with Agentic Research (1) For each place cell, draw a trial-by-position activity heatmap: x-axis is position, y-axis is trial, color encodes activity

Reference 2

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source=pdf_text observed=2026-08-02T00:18:50.643168Z digest=sha256:c06ec76c2605e6730df5832253a562bc9f583f03f700a5bf054e7a1ece13a085

Observation 15bd9194-5263-4c6d-a0a6-90cd932a1bdc · outbound

This paper cites (1) Decode using the deconvolved dF/F activity of all imaged neurons, not only the screened place cells, so that the selection procedure does not bias the result.

BrainPilot: Automating Brain Discovery with Agentic Research (1) Decode using the deconvolved dF/F activity of all imaged neurons, not only the screened place cells, so that the selection procedure does not bias the result

Reference 3

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source=pdf_text observed=2026-08-02T00:18:50.841418Z digest=sha256:4e51b6bbfdc9dd93468b236c986acea711813b04a7612456e254f14b5422da84

Observation c3d8cd82-6213-4eb4-b206-160b4b0d2ffc · outbound

This paper cites (1) Within a single paradigm, partition the trials in their original temporal order into non-overlapping consecutive trial bins, each containing M trials.

BrainPilot: Automating Brain Discovery with Agentic Research (1) Within a single paradigm, partition the trials in their original temporal order into non-overlapping consecutive trial bins, each containing M trials

Reference 4

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source=pdf_text observed=2026-08-02T00:18:50.952902Z digest=sha256:6989b591e86b0acc503e1cc36ba3b1ee3ef4bc8c686d027440d2ea0cc168512e

Observation 2b79f7f3-20ad-47a1-b902-4288aef75ef4 · outbound

This paper cites (1) For each trial, average the activity of all place cells across the cell dimension to obtain a per-trial population-mean firing rate.

BrainPilot: Automating Brain Discovery with Agentic Research (1) For each trial, average the activity of all place cells across the cell dimension to obtain a per-trial population-mean firing rate

Reference 5

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source=pdf_text observed=2026-08-02T00:18:51.089300Z digest=sha256:90d2ac1acd80045366a5199c98ff79133c4dd8d807efe3232749e2cd8fb62891

Observation 4d293961-d4b4-4db6-acd1-68eb46ae964a · outbound

This paper cites final_model.

BrainPilot: Automating Brain Discovery with Agentic Research final_model

Reference 6

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source=pdf_text observed=2026-08-02T00:18:52.069581Z digest=sha256:a571f3041bbd86868c8e1a3874b278f3db2bfee0ec52b15a3f14a88021343e73

Observation f0b33969-410c-46a6-9688-8e4407f87316 · outbound

This paper cites upper_triangle_row_major_i_lt_j.

BrainPilot: Automating Brain Discovery with Agentic Research upper_triangle_row_major_i_lt_j

Reference 7

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source=pdf_text observed=2026-08-02T00:18:51.508961Z digest=sha256:0900b3ac8a1c6766d4aabffa796aba086028fab3e0c9fa62136c25eb1e0d0f24

Observation 63a68fbf-abce-4bf7-955e-0635f8face78 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-02T00:18:51.148577Z digest=sha256:81a7976d1ddf19f95c66273b87cc8881f73e97586b7d5ed252f34e61591f8f08

Observation 59ee4628-25e1-4f47-b6d9-f23d9bdc3ea4 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-02T00:18:51.232303Z digest=sha256:29da97b30bbd45929df94455640bf2bc93a0997aa8284a6e6ccc2bb0b004ae6c

Observation f202293f-feef-4a41-af0b-bfa886030e88 · outbound

This paper cites - upper triangle, MATLAB column-major.

BrainPilot: Automating Brain Discovery with Agentic Research - upper triangle, MATLAB column-major

Reference 10

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source=pdf_text observed=2026-08-02T00:18:51.347594Z digest=sha256:96693d27b48144be9a4314c34ffe61e6e03b436fbf9645b2b8a47bfc468de649

Observation 0c66d9e7-9487-40e1-b8ff-3fa23603482a · outbound

This paper cites - the consistency metric between each candidate ordering and the example FC.

BrainPilot: Automating Brain Discovery with Agentic Research - the consistency metric between each candidate ordering and the example FC

Reference 11

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source=pdf_text observed=2026-08-02T00:18:51.438962Z digest=sha256:b87a9ed18bffb7d5598cae8715d2bd27bce16a54b2776b2b198d727a828aa157

Observation 066a2b91-d235-4091-8813-12e5edf8dc43 · outbound

This paper cites source_feature_order_preserved_but_roi_mapping_unverified.

BrainPilot: Automating Brain Discovery with Agentic Research source_feature_order_preserved_but_roi_mapping_unverified

Reference 13

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source=pdf_text observed=2026-08-02T00:18:51.591068Z digest=sha256:1583d935d8e833271c7fa061fc2416979ac7089d6fb8823df72c62089e8d7851

Observation c9da011a-fc1e-4c46-bf24-32d3e13a7169 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-02T00:18:51.660479Z digest=sha256:aeba8ab268401a3e5785e73cd1404374ee38fc66246ee008eb6dd525634c7d85

Observation da9a075f-5724-4adc-8ca0-b0d7d05c9f6f · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-02T00:18:51.741736Z digest=sha256:96dc231ac380b6e413dda696192a56da3d598d0ccad122f6fcc9e620d26f2c35

Observation e5712752-cf7d-4f2c-bab1-083423eb35d2 · outbound

This paper cites 38 2026-07-16.

BrainPilot: Automating Brain Discovery with Agentic Research 38 2026-07-16

Reference 16

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source=pdf_text observed=2026-08-02T00:18:51.838352Z digest=sha256:6e5f5f12f84d7ba5781c93b7d1585e2a6cb20e0e808986889cf8fb20564c47de

Observation be0cd762-0fba-4fc6-9e06-4a948656c916 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-02T00:18:51.902032Z digest=sha256:efc4f2b46e53cccbebd1707050205194366007f15ab52455848f62506d0936e2

Observation 930235d2-b0eb-43d6-a391-56b6f2e6a067 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-02T00:18:52.000533Z digest=sha256:9b600b05edb942a217e542799f4571c39c7fd26d1c9adf642d480ed59115fe4e

Observation ef7b42ec-149b-435d-b96d-e48ddf3dd05c · outbound

This paper cites The main motor-imagery frequency bands are: - Mu rhythm: approximately 8--13 Hz - Beta rhythm: approximately 13--30 Hz - The input has already been band-pass filtered at 4--38 Hz.

BrainPilot: Automating Brain Discovery with Agentic Research The main motor-imagery frequency bands are: - Mu rhythm: approximately 8--13 Hz - Beta rhythm: approximately 13--30 Hz - The input has already been band-pass filtered at 4--38 Hz

Reference 20

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source=pdf_text observed=2026-08-02T00:18:52.251207Z digest=sha256:43fffba13f5ba5a146a7774e97b53afda3a4c1848e4ea4682f0aed0d00951996

Observation 59e95e82-b2d5-4434-9689-33292c96517a · outbound

This paper cites Use information from C3, Cz, C4, and surrounding motor-cortex channels.

BrainPilot: Automating Brain Discovery with Agentic Research Use information from C3, Cz, C4, and surrounding motor-cortex channels

Reference 21

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source=pdf_text observed=2026-08-02T00:18:52.295885Z digest=sha256:cb1f8e599c20b0ea777076cce4ed7766f710d975a848c5d2e2a086d3f33090f6

Observation 1959d353-5fe5-470a-b592-aaebf6a4b576 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-02T00:18:52.365716Z digest=sha256:bdf7feae391df4e7c30a6afa7ea00597e7c5761787014d4541051c4eefd2ace1

Observation 4ea8cd2c-d545-4e3e-8dae-dc4d74f3b9b7 · outbound

This paper cites Its design should remain stable under CrossSessionEvaluation from A0xT to A0xE.

BrainPilot: Automating Brain Discovery with Agentic Research Its design should remain stable under CrossSessionEvaluation from A0xT to A0xE

Reference 23

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source=pdf_text observed=2026-08-02T00:18:52.453650Z digest=sha256:00f1c8c7e12e2a4ab317216b5b74933a17afc674ddd50f700653cdfc2907b8aa

Observation ca4f69b5-5f84-4fc8-ab54-7d6fa8df5e30 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-02T00:18:52.570800Z digest=sha256:aca30a8b1e3ab95d2387f8a0c3e60e66be511bd7e02302cd954a7e0383d9f49a

Observation 977dd177-eea1-472d-8ebd-1a0d767b31d4 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-02T00:18:53.155614Z digest=sha256:f5c1fc8957748a14da3dcbe4be7b02bf12e3160b887231b0806523ddad71c34f

Observation d891bda5-bfae-447c-bc49-7fa448f8a00e · outbound

This paper cites subject_ids.

BrainPilot: Automating Brain Discovery with Agentic Research subject_ids

Reference 32

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source=pdf_text observed=2026-08-02T00:18:53.510263Z digest=sha256:2aba20642d23961da08655b2c71ae65704796fc1f1f99678d9d3a63a3b05b302

Observation 3e6b350e-63f1-4490-bfd9-ca6f1897db8d · outbound

This paper cites Conv1d is preferred because the input is a single-channel time series: (Batch, 1, 3000).

BrainPilot: Automating Brain Discovery with Agentic Research Conv1d is preferred because the input is a single-channel time series: (Batch, 1, 3000)

Reference 33

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source=pdf_text observed=2026-08-02T00:18:53.643438Z digest=sha256:3237bbd757381c20e7b6df7c64327a4621efc618cc6686b51e7c63ed98694c26

Observation 167e1962-4eb0-4d6d-87cf-509d00f279fd · outbound

This paper cites 45 2026-07-16.

BrainPilot: Automating Brain Discovery with Agentic Research 45 2026-07-16

Reference 34

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source=pdf_text observed=2026-08-02T00:18:53.777154Z digest=sha256:6c01b07a4eff82a51e09bf98a50d2e5c8a484581272a91198ba0b2374d9eb712

Observation 4c4af4f3-f2cf-46f7-a717-36792e4c6a9c · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-02T00:18:53.838049Z digest=sha256:fc6c35665d5842e364662a72bff1e571fdbf50f3849c02e1dfc2d62333f5e494

Observation bdafdec1-675b-4e0a-af85-e21adc69770c · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-02T00:18:53.902007Z digest=sha256:58d7097959ee89cdc3a99cea10ea22cc796cd449452c5e325b86cf8c1b5b4575

Observation 47504639-2b9a-4b28-b076-f819828a874e · outbound

This paper cites The model should avoid complete dependence on the majority classes.

BrainPilot: Automating Brain Discovery with Agentic Research The model should avoid complete dependence on the majority classes

Reference 37

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source=pdf_text observed=2026-08-02T00:18:54.004855Z digest=sha256:099d139eb0ec85945c3fe36bb90248ab5a07355609f8cd444680e8eefd7b0d22

Observation b934365c-d60e-4aff-9b7f-407e57ae8a02 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-02T00:18:54.147904Z digest=sha256:600ea3088cc78d2479a05a8d8eba623b9e575df64bd32151be8a9f46a66743f2

Observation dfd04196-787b-408c-a30b-396924e2a4ca · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-02T00:18:54.207601Z digest=sha256:226cea416ddb4e234eefb5f75044e9c1039b3bb275f4a7e51748b7cf2515f214

Observation 205124e2-c8c0-46d9-868e-9bd9480fa23a · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-02T00:18:54.400407Z digest=sha256:ccb111f652142216e06aaed17a8c7cb8d3d970c03444c168fa79482b3bededf4

Observation 5ac06da6-ef26-4ced-b2ea-0107f48e3f06 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-02T00:18:54.514017Z digest=sha256:3275fe1857e2ff1f86de0ca19f156a601c009aa8acdb09480f88c65786aaf5b0

Observation 88ac1194-0f8a-4296-be36-ae51a927bcdd · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-02T00:18:54.594020Z digest=sha256:db30cc8a4b2c5549cae20dea2253353379578cfaa328eee17fac4b75f41412f4

Observation 61e6fd51-2da4-4338-9a38-53eaae28cd7a · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-02T00:18:54.807530Z digest=sha256:9ce741cc53ccb8a8b344e03dc05be7869cf7420aed589b2142649eb897f43383

Observation fc77e05a-98bb-4b28-9a9d-b5524b2fbe02 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-02T00:18:54.966960Z digest=sha256:589942d4e80594737b99d4e982520fc1efcbc1364f62756a7220b2001274f26f

Observation 140cd356-2c27-4f84-a804-733a27670c3f · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-02T00:18:55.140837Z digest=sha256:1342508740ca961a5a3567c41f4ba04a78272eed8e3df54df424bee2073b4f11

Observation 30b3fc15-6a27-4e43-b4e6-6aaa9545b083 · outbound

This paper cites an unresolved cited work.

BrainPilot: Automating Brain Discovery with Agentic Research Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-02T00:18:55.275342Z digest=sha256:96b9b6fe8f8f87abf9fa4fbf8a9da0903cca69f2b852041a4ac299c4e9ae5096

Observation e8f707c8-80ed-4345-b4d7-a6af28a14359 · outbound

This paper cites auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation.

BrainPilot: Automating Brain Discovery with Agentic Research auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation

Reference 2018

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d8ded86b-9ab1-4017-8bf9-9cd04e3db2bc · outbound

This paper cites NeuroClaw Technical Report.

BrainPilot: Automating Brain Discovery with Agentic Research NeuroClaw Technical Report

Reference 2022

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Pith citing papers

Observation 88893e5c-506a-400b-b964-0a5550bb96a6 · inbound

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding cites this paper.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding BrainPilot: Automating Brain Discovery with Agentic Research

Reference 21

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local_arxiv, observed 2026-08-08T00:26:14.912648Z

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