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Pith Number

pith:VJTSK4VD

pith:2021:VJTSK4VDQZN7SO6HAJRZ53FWNO
not attested not anchored not stored refs pending

How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning -- an Exact Macroscopic Characterization

Hanna Wutte, Jakob Heiss, Josef Teichmann

arxiv:2112.15577 v4 · 2021-12-31 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{VJTSK4VDQZN7SO6HAJRZ53FWNO}

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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

Receipt and verification
First computed 2026-07-05T05:08:25.890344Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

aa672572a3865bf93bc702639eecb66b981d9643edac727d8216f7670695d999

Aliases

arxiv: 2112.15577 · arxiv_version: 2112.15577v4 · doi: 10.48550/arxiv.2112.15577 · pith_short_12: VJTSK4VDQZN7 · pith_short_16: VJTSK4VDQZN7SO6H · pith_short_8: VJTSK4VD
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJTSK4VDQZN7SO6HAJRZ53FWNO \
  | 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: aa672572a3865bf93bc702639eecb66b981d9643edac727d8216f7670695d999
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d535bb6d303a8b79f9878098842844d6e8b796d8606de0fa6c2b5b9c963a7e7d",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2021-12-31T18:03:46Z",
    "title_canon_sha256": "545950279c1d3ef578b6c041b992cf2cced68997817d1b0747247701ce2f77de"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2112.15577",
    "kind": "arxiv",
    "version": 4
  }
}