pith. sign in
Pith Number

pith:F7YJN55V

pith:2017:F7YJN55V3IXC64W4NIXGH4MYIZ
not attested not anchored not stored refs pending

Multiview Deep Learning for Predicting Twitter Users' Location

Bruno Cornelis, Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis, Tien Huu Do

arxiv:1712.08091 v1 · 2017-12-21 · cs.LG · cs.IR · cs.SI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F7YJN55V3IXC64W4NIXGH4MYIZ}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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.
Receipt and verification
First computed 2026-05-18T00:27:28.837602Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2ff096f7b5da2e2f72dc6a2e63f198464cb37d53df738e7502a8b0479f73f5c3

Aliases

arxiv: 1712.08091 · arxiv_version: 1712.08091v1 · doi: 10.48550/arxiv.1712.08091 · pith_short_12: F7YJN55V3IXC · pith_short_16: F7YJN55V3IXC64W4 · pith_short_8: F7YJN55V
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F7YJN55V3IXC64W4NIXGH4MYIZ \
  | 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: 2ff096f7b5da2e2f72dc6a2e63f198464cb37d53df738e7502a8b0479f73f5c3
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "dece4776ebf045c028f0c954abdec023a2ab81c30126e29f38bc6eb894041373",
    "cross_cats_sorted": [
      "cs.IR",
      "cs.SI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-12-21T17:15:41Z",
    "title_canon_sha256": "b7c4804840c23af800b53fada537be38504696fbbf59b9fd8893e20d78269812"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1712.08091",
    "kind": "arxiv",
    "version": 1
  }
}