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Pith Number

pith:A32OY6SN

pith:2023:A32OY6SNLDIPA3LGM4S4FUI74Y
not attested not anchored not stored refs pending

Understanding Pathologies of Deep Heteroskedastic Regression

Alex Boyd, Eliot Wong-Toi, Stephan Mandt, Vincent Fortuin

arxiv:2306.16717 v2 · 2023-06-29 · stat.ML · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A32OY6SNLDIPA3LGM4S4FUI74Y}

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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 2026-07-05T07:44:54.854153Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

06f4ec7a4d58d0f06d666725c2d11fe6190396b963f43e21d343a748aa79db17

Aliases

arxiv: 2306.16717 · arxiv_version: 2306.16717v2 · doi: 10.48550/arxiv.2306.16717 · pith_short_12: A32OY6SNLDIP · pith_short_16: A32OY6SNLDIPA3LG · pith_short_8: A32OY6SN
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A32OY6SNLDIPA3LGM4S4FUI74Y \
  | 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: 06f4ec7a4d58d0f06d666725c2d11fe6190396b963f43e21d343a748aa79db17
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "607d7fcca90c2965ba041af112c0f440f5499a5ea19d687e94760458c872c8c5",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2023-06-29T06:31:27Z",
    "title_canon_sha256": "8c3b7565ad82f7707783467208ddc9edf67842530a6f06d7d389a0a40ba6bb47"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2306.16717",
    "kind": "arxiv",
    "version": 2
  }
}