pith:XH2I5WFO
Fill-Side Behavioral Concentration on Polymarket: Identification Limits under Record-Level Attribution
Polymarket's non-retail trading exhibits uni-modal fill-side behavior, allowing tier-based separation of dominant participants.
arxiv:2605.11640 v2 · 2026-05-12 · q-fin.TR · cs.CY · q-fin.CP
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\pithnumber{XH2I5WFOPY3LU2FKDJU6NP5Y2S}
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Record completeness
Claims
density-based clustering (DBSCAN, fifteen sensitivity configurations) on the fill-side vector produces a single dense cluster with zero noise: fill-side behavior in the empirical window is uni-modal under the six-feature vector, contradicting the pre-registered hypothesis of four-to-five separable archetypes. ... whale-tier, high-frequency-operator, and power-trader tiers jointly hold 81.4% of total notional across 12.6% of addresses.
The six-feature fill-side vector remains sufficient to identify meaningful behavioral tiers and retail/non-retail separation after the G-QUOTE-LIFE failure removes quote-lifecycle information.
Polymarket fill-side trading appears uni-modal due to missing quote-lifecycle data, with whale, high-frequency, and power-trader tiers dominating 81.4% of notional across 12.6% of addresses.
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Receipt and verification
| First computed | 2026-07-31T01:11:45.518273Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
b9f48ed8ae7e36ba68aa1a69e6bfb8d487ac0ea8b17af6df4eba5d099c234040
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XH2I5WFOPY3LU2FKDJU6NP5Y2S \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b9f48ed8ae7e36ba68aa1a69e6bfb8d487ac0ea8b17af6df4eba5d099c234040
Canonical record JSON
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