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Pith Number

pith:TRNFEB55

pith:2018:TRNFEB55G3UKJ5HJWYF7ALCAMP
not attested not anchored not stored refs pending

Conditional Graph Neural Processes: A Functional Autoencoder Approach

Evren Tumer, Marcel Nassar, Xin Wang

arxiv:1812.05212 v1 · 2018-12-13 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TRNFEB55G3UKJ5HJWYF7ALCAMP}

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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.
Receipt and verification
First computed 2026-05-17T23:58:24.191176Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

9c5a5207bd36e8a4f4e9b60bf02c4063f931f1366cefadf493066afcdd8a36fe

Aliases

arxiv: 1812.05212 · arxiv_version: 1812.05212v1 · doi: 10.48550/arxiv.1812.05212 · pith_short_12: TRNFEB55G3UK · pith_short_16: TRNFEB55G3UKJ5HJ · pith_short_8: TRNFEB55
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TRNFEB55G3UKJ5HJWYF7ALCAMP \
  | 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: 9c5a5207bd36e8a4f4e9b60bf02c4063f931f1366cefadf493066afcdd8a36fe
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a3ac3eb03e928e93fc86a1a835d7f15eba2a85563c486b29f1caa3fcc5cfa8e7",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-12-13T00:52:56Z",
    "title_canon_sha256": "30eeec5a8fc97b508e29a8f1f9d183b20e736a942bf9d3c78b1222cb10b33d90"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1812.05212",
    "kind": "arxiv",
    "version": 1
  }
}