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RED-COHORT-2026-v1: A Catalogue of 1,012 Persistent Wallet Cohorts Detected on the Solana Pump.fun Bonding-Curve Marketplace (June 11-25, 2026)

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Zenodo2026-08-03 更新2026-08-13 收录
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RED-COHORT-2026-v1 is a public, reproducibility-grade dataset of 1,012 persistent sniper-cohort detections on the Solana pump.fun bonding-curve marketplace, derived from 1,578,333 buyer events across 166,098 token launches observed between 2026-06-11 21:43 UTC and 2026-06-25 06:52 UTC (13.38 days elapsed). The release accompanies a working paper: Kamat, A. U. (2026). "Coordinated Sniper Cohorts on Pump.fun: Detection of 1,012 Persistent Wallet Rings and a Contamination-Adjusted Estimate of Coordination-Specific First-Hour Buyer-Flow Lift." Working paper. Contents (27 files -- see README.md for the full annotated inventory): the 1,012-cohort catalogue (sniper_cohorts.jsonl), intra-launch buyer-window source data (sniper_cohorts_intra.jsonl.gz), two-stage detection script (analyze_sniper_cohorts.py), two propensity-score matching scripts (paper7_v3_psm.py and paper7_v3_psm_nocohort_zerofill.py) with result JSONs and run logs, descriptive-tables and figure generator (gen_p7_artifacts.py), 100-seed activity-matched placebo bootstrap (placebo_bootstrap_v3.py) with per-seed output (placebo_stability_100seeds.json), three paper figures (fig1/2/3_v2.svg), Table 1-3 CSVs, Appendix A ablation CSV, four v3-era appendix txt files retained for provenance, DEPOSIT_NOTE.md companion note, README.md, and LICENSE (CC-BY-4.0). Headline results: Under a contamination-adjusted, 1:1 propensity-score-matched estimator on ten launch-quality covariates that excludes cohort wallets' own buyer events from the outcome, the coordination-specific effect on first-30-minute non-cohort buyer count is +16.1% (95% CI [+13.0%, +19.4%], n = 5,419 matched pairs; worst post-match standardised mean difference 0.077). The corresponding first-30-minute non-cohort SOL-inflow lift is +6.3% (95% CI [-0.5%, +15.1%]) and is not statistically distinguishable from zero at 95% confidence. The naive same-universe pooled contrast on this corpus is +130.9% for buyer count; approximately half of that number is arithmetic contamination from counting cohort wallets themselves in the outcome. A parallel activity-matched placebo estimator, applied across 100 independent seeds, produces a distribution of placebo lifts with median +189.6% (p5-p95 [+166.7%, +217.9%]), retained as a bias diagnostic. Of 5,419 treated launches, 382 (7.0%) had zero non-cohort buyers in the first 30 minutes. Reproducibility: Both PSM scripts are deterministic under seed=42. The contamination-adjusted script paper7_v3_psm_nocohort_zerofill.py has been re-run on the frozen buyer corpus and reproduces every reported lift, CI, treated/control mean, and covariate SMD to reported precision; the base script paper7_v3_psm.py follows the same deterministic matching and bootstrap procedure. All Python scripts use <data-path>/ placeholders for input paths; substitute your local paths at the top of each script. See DEPOSIT_NOTE.md for the environment pin on placebo_stability_100seeds.json (RNG-implementation tolerance of 2-5 percentage points on distribution statistics is expected across NumPy versions) and for two documented internal-count discrepancies (5,411 vs 5,419 strict treated count; 77,783 vs 9,788 qualifying pairs) that are internally consistent within their own conventions. Ethics: All data are public Solana base-58 addresses. No personally identifying information is included. One wallet address in the source corpus included an ethnically offensive vanity prefix; in the public release, that prefix has been redacted to [REDACTED] while the remainder of the address is preserved for traceability against the underlying on-chain data. Patent disclosure: The detection methodology is the subject of two pending US provisional patent applications in the author's name at Micro Entity status: No. 64/022,461 (filed 2026-03-30) and No. 64/099,108 (filed 2026-06-25). Neither restricts access to or use of the deposited dataset or reproduction scripts, which are released under CC-BY-4.0. Commercial re-implementation may require licensing; contact arati.kamat@ieee.org. Version history: v1.1.1 (2026-08-03): Metadata-only patch. README.md and DEPOSIT_NOTE.md updated to remove venue-specific references. No changes to any data or code file. All data and code file SHA-256 hashes unchanged from v1.1.0. v1.1.0 (2026-08-01): Added 6 PSM artefacts (paper7_v3_psm.py, paper7_v3_psm_nocohort_zerofill.py, both result JSONs, both run logs) that produce the manuscript Section 4.4 naive and Section 4.8 contamination-adjusted headline. Added DEPOSIT_NOTE.md documenting the v3 to v4 supersession, corrected script-to-artefact mapping, environment pin, and unreconciled internal-count discrepancies. Removed redundant v1.0.0 SVGs. v1.0.1 (2026-07-23): Added v2 figures, 100-seed placebo stability script, updated Fig 3 tier legend. Catalogue unchanged. v1.0.0 (2026-06-27): Initial release.

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2026-08-03
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