Paper Citation Record · LEDGER

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference

As of 9 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2507.04494.

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

pith.paper-citation-record.v1
2507.04494 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:54:36.959505Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:30:36.471909Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 880c18e7-ed9a-4ea7-81bf-5cdc89641e02 · outbound

This paper cites GPT-4 Technical Report.

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:36.362516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2374c752-7050-4667-9d82-cdef64e137cd · outbound

This paper cites Scaling Laws for Neural Language Models.

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference Scaling Laws for Neural Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:36.740596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53026afd-5935-47a8-883b-9ac4df71851a · outbound

This paper cites Sensitivity of Slot-Based Object-Centric Models to their Number of Slots.

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference Sensitivity of Slot-Based Object-Centric Models to their Number of Slots

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:36.959505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce325519-9dc8-4c25-840c-e9007ef87e23 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:36.463486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c1c9d5a-a944-40b0-9d9c-71e10dd69fd7 · outbound

This paper cites PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 183

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:36.873263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99dea9e-d5bb-45d8-bc1d-ac248611446d · outbound

This paper cites M., & Mountcastle, V.

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference M., & Mountcastle, V

Reference 202

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:36.557766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e9d213-ad39-4442-a390-987a2c702c4c · outbound

This paper cites an unresolved cited work.

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference Unresolved cited work

Reference 872

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:54:37.214867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 757195b8-514f-40c6-b2c9-c8a1246030b1 · outbound

This paper cites Do generative video models understand physical principles?.

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference Do generative video models understand physical principles?

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:36.825781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e2bcf9c4-c8c2-4040-a09e-398da6632101 · inbound

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments cites this paper.

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:36.471909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.