Pith Number

pith:NJQ4IRK3

pith:2017:NJQ4IRK34VYHWSEAOW4FTOKNGW

not attested not anchored not stored refs pending

Click Through Rate Prediction for Contextual Advertisment Using Linear Regression

Muhammad Junaid Effendi, Syed Abbas Ali

arxiv:1701.08744 v1 · 2017-01-30 · cs.IR · cs.AI · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{NJQ4IRK34VYHWSEAOW4FTOKNGW}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

1 paper in Pith

An Enhanced Ad Event-Prediction Method Based on Feature Engineering

Receipt and verification

First computed	2026-05-18T00:50:43.678170Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6a61c4455be5707b488075b859b94d35a970cfb4fab1f5adb2554b38f3b938dc

Aliases

arxiv: 1701.08744 · arxiv_version: 1701.08744v1 · doi: 10.48550/arxiv.1701.08744 · pith_short_12: NJQ4IRK34VYH · pith_short_16: NJQ4IRK34VYHWSEA · pith_short_8: NJQ4IRK3

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NJQ4IRK34VYHWSEAOW4FTOKNGW \
  | 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: 6a61c4455be5707b488075b859b94d35a970cfb4fab1f5adb2554b38f3b938dc

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "86eff12ac10f9ba66e807b9ece6f7b6fd5d28930cc6a12c599a6be0d676f22f6",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/publicdomain/zero/1.0/",
    "primary_cat": "cs.IR",
    "submitted_at": "2017-01-30T18:32:59Z",
    "title_canon_sha256": "293301136945acadfe8bc333054ad2f88a0810022fff2dd1c2a4697fee4b90b8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1701.08744",
    "kind": "arxiv",
    "version": 1
  }
}