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Pith Number

pith:NWIHPFNE

pith:2024:NWIHPFNEKIYRWNZ6X537CV6FM5
not attested not anchored not stored refs pending

Improving Convolutional Neural Networks for Cosmological Fields with Random Permutation

Bhuvnesh Jain, Kunhao Zhong, Marco Gatti

arxiv:2403.01368 v1 · 2024-03-03 · astro-ph.CO

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\usepackage{pith}
\pithnumber{NWIHPFNEKIYRWNZ6X537CV6FM5}

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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 2026-07-05T07:51:46.167377Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6d907795a452311b373ebf77f157c567409219216cf699b9e98e179adb7cf060

Aliases

arxiv: 2403.01368 · arxiv_version: 2403.01368v1 · doi: 10.48550/arxiv.2403.01368 · pith_short_12: NWIHPFNEKIYR · pith_short_16: NWIHPFNEKIYRWNZ6 · pith_short_8: NWIHPFNE
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NWIHPFNEKIYRWNZ6X537CV6FM5 \
  | 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: 6d907795a452311b373ebf77f157c567409219216cf699b9e98e179adb7cf060
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "aa150cf5ec7e76f1e890ec070ed08df2f005bafb30bfa76b0f5a824de7b42285",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "astro-ph.CO",
    "submitted_at": "2024-03-03T01:58:45Z",
    "title_canon_sha256": "f655328576181fc9eb7b9eef552c5549638abd8a6a2ea393347fb7b44b528bd4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2403.01368",
    "kind": "arxiv",
    "version": 1
  }
}