The Burstiness Engine

NeurIPS 2026 · LP4FM Poster

Burstiness Was Measured Wrong, and Prompting Cannot Aim It

Vittoria Lanzo and Dico Angelo

Liceo Scientifico Augusto Righi · Metaventions AI

A scale-free measure of sentence rhythm, a normalization audit, and a nine-family test of whether prompting can target human dispersion.

20 pages · Manuscript published October 1, 2026 · Site/data updated October 18, 2026 · Cite this paper

Code and data

Materials for the study.

PYTHON + DATA / TAR.GZ

Reproduce the study

Scoring code, nine-family results, the human baseline and available raw generations.

Download code and data
TEX / ZIP

Manuscript source

The submitted TeX, bibliography, style and figures, ready to import into Overleaf.

Download source
SCORED RESULTS / JSON

Explore the numbers

The published estimates, confidence intervals and companion diagnostics in a machine-readable form.

Download benchmark

The submitted public dataset mirror is unchanged: seven archived legs reproduce the published scores exactly, and the Qwen archive is incomplete. Recovered original Opus outputs and the new October DeepSeek runs are archived separately with private access. October 18 data update · Reproduction limits.

Package contents · Checksums · GitHub repository

Camera-ready data · October 18, 2026

Recovered originals and separately identified new runs.

Raw data for the camera-ready handoff is archived. Access to the linked datasets requires collaborator permission; the public download contains provenance metadata, not these private generation files.

October 18 archive handoff
DatasetRowsProvenanceAccess
Original Opus 4.83,000Recovered original run; self-refinement drafts and critiques are archived alongside it.Private archive ↗
New DeepSeek paraphrases600October 18 generations: three variants × 200 frozen briefs.Private archive ↗
New DeepSeek baseline3,000October 18 generations: five modes × 200 briefs × three iterations; all 4,200 selected stages are preserved.Private archive ↗

The new DeepSeek runs use deepseek-v4-pro, documented as DeepSeek-V4-Pro-0813 (August 13, 2026). This is a newer snapshot than the July runs. The original July paraphrase outputs were not recovered; the October outputs are new generations.

One DeepSeek baseline response remains included with an off-topic quality flag: self-refine, scenario 93, iteration 1. Its original output is preserved without rerun, replacement or exclusion.

Rescoring is pending

Vittoria Lanzo is handling the camera-ready rescoring. The PDF, benchmark tables and scored JSON on this site remain the October 1 publication. This data handoff does not publish revised findings.

Public provenance metadata (JSON) · Data handoff and reproduction notes

The PDF retains the anonymous submission author block. Vittoria Lanzo and Dico Angelo are identified in the public OpenReview record.

Citation

Reference the study.

Vittoria Lanzo and Dico Angelo. 2026. Burstiness Was Measured Wrong, and Prompting Cannot Aim It. NeurIPS 2026 Workshop LP4FM, Poster. OpenReview.

BibTeX
@misc{lanzo_angelo_burstiness_2026,
  title = {Burstiness Was Measured Wrong, and Prompting Cannot Aim It},
  author = {Lanzo, Vittoria and Angelo, Dico},
  year = {2026},
  howpublished = {NeurIPS 2026 Workshop LP4FM, Poster},
  url = {https://openreview.net/forum?id=1E20ig92Zi}
}

Paper: CC BY 4.0 · Code: Apache-2.0 · Wikinews baseline: CC BY 2.5.

Publication record

Source and verification.

Artifact provenance and integrity

The PDF is the unchanged October 1 OpenReview manuscript. It was accepted as a poster on September 29. The submitted source, recovered from the paper’s anonymous artifact repository, builds to 20 pages with identical extracted text after whitespace normalization.

All 261 checked entries from Table 1, Appendix B and the multiplicity census match the scored artifacts. The source and PDF retain submission formatting; these materials do not imply a later camera-ready revision.

PDF SHA-256:

ee5301d4067b76d143aef274d5cf8339bb60c4aa1fbf0f36a63575cea083c8ad

Source hashes and validation · Publication metadata · Earlier versions