Paper Citation Record · LEDGER

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments

As of 9 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2512.13517.

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

pith.paper-citation-record.v1
2512.13517 v2

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:30:37.099408Z

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 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

9 of 9 outbound references displayed

verified exact0
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b114af9e-9b0a-43a1-9d0c-16e46cf9c123 · outbound

This paper cites This design enables the formation of two cohorts that are each exposed to the same trials: Cohort I composed of all odd sessions and Cohort II composed of all even sessions.

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments This design enables the formation of two cohorts that are each exposed to the same trials: Cohort I composed of all odd sessions and Cohort II composed of all even sessions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:36.974143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11af2130-55a4-4e8a-87da-c0ab240c1008 · outbound

This paper cites an unresolved cited work.

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments Unresolved cited work

Reference 384

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:37.099408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 037339d5-248c-4cb0-9118-1f067b010593 · outbound

This paper cites The performance and reaction time are measured.

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments The performance and reaction time are measured

Reference 1971

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:36.879197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf134e28-61f9-460a-ad3f-4a9400306898 · outbound

This paper cites World Modeling with Probabilistic Structure Integration.

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments World Modeling with Probabilistic Structure Integration

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:36.298513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference.

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.

Observation 28f2fe28-7bcd-4702-89ad-5cde9496137c · outbound

This paper cites CPTR: Full Transformer Network for Image Captioning.

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments CPTR: Full Transformer Network for Image Captioning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:36.563313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3871f213-8317-4641-9846-ec221f390420 · outbound

This paper cites Large vision models can solve mental rotation problems.arXiv preprint arXiv:2509.15271,.

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments Large vision models can solve mental rotation problems.arXiv preprint arXiv:2509.15271,

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:36.644960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b3245e6-35e9-49b4-9611-369e9c34a280 · outbound

This paper cites Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models.

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:36.756028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4049e4ff-e6ec-4b69-a89e-3e2371ed2803 · outbound

This paper cites 16 Preprint.

A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments 16 Preprint

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:36.244342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.