Pith Number

pith:MLPLFWEB

pith:2020:MLPLFWEBQZQI7Y627IGYD3OO4Y

not attested not anchored not stored refs pending

An adversarial learning framework for preserving users' anonymity in face-based emotion recognition

Theodora Chaspari, Vansh Narula, Zhangyang (Atlas) Wang

arxiv:2001.06103 v1 · 2020-01-16 · cs.LG · cs.CV · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{MLPLFWEBQZQI7Y627IGYD3OO4Y}

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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

Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation

Receipt and verification

First computed	2026-07-05T00:34:06.820053Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

62deb2d88186608fe3dafa0d81edcee637338254a00ec6860d6450dc402c14f1

Aliases

arxiv: 2001.06103 · arxiv_version: 2001.06103v1 · doi: 10.48550/arxiv.2001.06103 · pith_short_12: MLPLFWEBQZQI · pith_short_16: MLPLFWEBQZQI7Y62 · pith_short_8: MLPLFWEB

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/MLPLFWEBQZQI7Y627IGYD3OO4Y \
  | 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: 62deb2d88186608fe3dafa0d81edcee637338254a00ec6860d6450dc402c14f1

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "aee8240d1973869b6e93c3e7a207ccf48e3cb94d0e95e60604db9c3bba052c37",
    "cross_cats_sorted": [
      "cs.CV",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-01-16T22:45:52Z",
    "title_canon_sha256": "a148739b1899cd22d86d4eed8fbbfe142206eeee123b025f5bcb8d25193d2347"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2001.06103",
    "kind": "arxiv",
    "version": 1
  }
}