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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:c17687a382025f3c3ca9be991603e5e75675442836e3b55c4fb0ad6cb8fbebdc

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:aeb63058101eea1c479389d69c94b4b810cc6423f193bed4da3d328f7dcd9dce

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:f748ae2b58a7dbda30884b768c61b0d71a3572fa64d468087120d511c601a16a

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=sha256:87140d714b473413cf5ef4399cbab92888095a78e06c4b68966dde0027e739be

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:dd6e507feb2f973be89c399ac4f00a17422b181637ea4886a9062fdad32cb408

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:b583ed4edf8f3353499717b04839c359f03b6d420db2ad5290016dee16640984

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=sha256:47acd3d3405294eb2765d578cc6c9b9a497a7498360781c618df06c87bb83065

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:ef2e1c7814dbda56f1ea0bfed490313213d17636c43ed3a17b45d9af9834209b

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=sha256:9f430fe0387a334f1bf1cdc652098342e7680681db32b5bc8a3a46dc993b5beb

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:b8daca5230a922be5a21134b92649e119c970abf7866aeeb8cc02f1d0bd146e6

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=sha256:662f1b1cdc6970390fe6a4c7a13e828550cdc5daf8a1361288b241691825afe3

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=sha256:5798eacf78f004026ccc135670d3e59d53868f3a26e8c31eaaf3608f20e57802

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=sha256:28ba3ecf334a95fd38c9ee6de2b7c1ca03a3b1bcb76e7a91a39b91d1737fd7ca

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=sha256:47697ba0b358283177bc570eb2d20a69b34b230858425700eab8d232ab69b9cf

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:c34756fb912574b6765899fcb9507eec865b689e24a628efd17289d0db2b6eff

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=sha256:1ed8d061738851bd371cd6ba816eba3c8b444e970368f1a4b68c0e7adaede301

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:e62e873f7d977ec3d5bba0ed1a9823e073ebb99333dc1dd0c090db273f4252cf

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=sha256:3fd05648497bde9d816970749d753d716e3862ca36fc99349eed6b01b18dd45c

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=sha256:20bbb384ecbe5f8caa9fc547423891fbf5cc195355135decaccb78c778a978f8

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=sha256:2cbde8ff1b1b1a5c01823cc4f1510711f8e04fab3025618fd46065d8c1893a8e

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=sha256:7136a4ab4ed92e53cfdd97d3567c518b889f2aabe3f84a9e35e869c9219092f6

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=sha256:6e7304f288b5b9af1788b8df607ebc815e3bf9ff78e129112ddf4c0e77415a57

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:f1a1b481138ec2e1a202c6f91ff3a6711ec8a0618f6c4935fc4eb910b8e2cb2e

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=sha256:107e1abe3f94c0a5eae22e14419f45dd663af5e79ba9d9af1cf881d736e74886

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=sha256:701c7fe303f13cb2b6266ad0e6e4b293126c933912bc0d654055f81d92de01db

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=sha256:1026cd3a2e757b17e5adc60df5051f58af5a383416e2754a0c909ee60a8d7700

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=sha256:0aba0b8a94fdd883985cc5e364c399e67be6dd7497a2cbcba7eb32afad7c9461

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:ea86fbded2780258935609d86caaecd8b6780235c03b2fdb2f511dfd703bb7b7

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:fa1d1030d65696f47e97c1cc8b9a823a21fa686ee0f0f30b912bfdbbf7c672c6

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=sha256:4e487dd8cf5391cdeb2da839a0c1c87460dd145600d4b6f66154e5217b356f1b

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:d28d463d91018aa5ee908c04f1dfc02c369ee955c537a412d3a47ba45adc61e0

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:d81f7d827604f6a7893b07ea9d4a39d6de450fab4b0cd13b46a5ce1392ad5867

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=sha256:350ef8f76a7b82fc9a8db8c66432dc392e0120842adec6e08106b87df951bcdd

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=sha256:4c13b5cc1df6f42e84c5dff2a1106c9cae07059e52b2643af361b528bb1acc3b

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=sha256:16d5d8fc62bf78dbafb6d67064f1fe87cbe2bd53f43540694999710f45d255f3

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=sha256:96e9320e307e69dc6f7803273d9c00151759c0fc399e8a080181f5b84966e1c3

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=sha256:72fb875ffde760c1fa00c680373bbf28b8355243f6ab3e7fe92ae061cf59793f

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:fb3761429c87bdd6aa7cb5ea92eaaf9383d6447c75c9988b78bf3b256beecacf

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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no resolver link, observed 2026-08-02T00:18:50.421949Z

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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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