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Record W6931097492 · doi:10.5281/zenodo.16753993

Planet Nine Detected: A ROTE-Guided Analysis of Motion Across WISE FITS Frames

2025· preprint· en· W6931097492 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsFields Institute for Research in Mathematical Sciences
Fundersnot available
KeywordsAsteroidObject (grammar)Motion (physics)Proper motionPlanetSkyFrame (networking)

Abstract

fetched live from OpenAlex

This dataset supports the discovery claim of a candidate Planet Nine object using time-separated WISE Band 1 (3.4μm) infrared images at RA 54.0°, Dec -22.0°. Two distinct infrared detections across WISE frames show a moving object not listed in known catalogs. The motion is visible across two epochs (frame_num 76 and 202) separated by over 6 months. Included are: The preprint paper presenting the discovery and analysis. Two annotated images showing the object at two separate positions. Two screenshots of the FITS header metadata confirming scan ID, frame number, RA/Dec coordinates, and observation timestamps. The object moves with respect to the stellar background and is not attributable to known asteroid or cometary motion paths. This motion and sky location are consistent with theoretical ROTE-based resonance shell crossings and prior mass/torque estimates for Planet Nine. This submission provides empirical evidence of motion at the predicted coordinates using publicly available NASA WISE data. Further confirmation via additional epochs or JWST/NIRCam would be beneficial.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.011

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.269
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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