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Fingerprint v2.1

@attn_paper

Sofia Racz · researcher · EU

Attention mechanisms, memory, long context. I cite the 2017 paper so you don't have to pretend.

Open on X

Followers

19,800

Posts / day

1.9

Active months

76

90d growth

9%

How they post

Scores from 0 to 1. Higher density and citations = more signal. Farm score is how robotic the posting looks — not a court verdict.

Information density0.87
Citation rate0.81
Substantive replies0.72
Technical depth0.86
Originality0.59
Explanatory depth0.84

composite 0.79

Spam check

farm 0.06 · looks humanno coordination flags
Timing entropy
0.71
Cadence regularity
0.32
Duplication
0.09
Follow churn
0.06
Promo frequency
0.04
CTA patterns
0

Uncalibrated heuristic. Inputs: cadence regularity, timing entropy, duplication, follow churn, promo frequency. No labeled precision/recall/Brier. Not a verdict. Not grounds to punish an account.

Network

Communities: ai-research · ml-research

bridge_score 0.33

Topics

  • ml0.88
  • ai0.82
  • math0.33

Why this person — source posts

INDEXED SAMPLE posts. Internal ids, snapshot time, quoted text. These are not live X permalinks.

  • Scaled dot-product attention is still the load-bearing sentence. Everything after is systems work.

    id attn_paper-1 · original · created 2026-09-16T11:57:00Z · retrieved 2026-09-17T22:00:00Z · source indexed · cites Vaswani et al. 2017 · no live permalink

Signed receipt

This is Mila's file on @attn_paper — a hash, not a vibe. You don't need the raw JSON. Open them on X, or copy the file if you're auditing.

sha256:3810c1dc

Open on X

fingerprint/v2.1 · xradar/1.0 · sha256:3810c1dc© 2026 Mila · 026 Inkline Labs LLC. All rights reserved.

© 2026 Mila · 026 Inkline Labs LLC. All rights reserved.

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