Pith Number
pith:76YTCJPY
pith:2024:76YTCJPY6XTBZHQDDML5SHTXV6
not attested
not anchored
not stored
refs pending
Derivative-informed neural operator acceleration of geometric MCMC for infinite-dimensional Bayesian inverse problems
arxiv:2403.08220 v2 · 2024-03-13 · math.NA · cs.LG · cs.NA · stat.CO · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{76YTCJPY6XTBZHQDDML5SHTXV6}
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Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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Replications
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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
Receipt and verification
| First computed | 2026-07-05T08:20:53.649222Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ffb13125f8f5e61c9e031b17d91e77afbcfcb4bce5c83a9c11b20f6ae2f2d448
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/76YTCJPY6XTBZHQDDML5SHTXV6 \
| 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: ffb13125f8f5e61c9e031b17d91e77afbcfcb4bce5c83a9c11b20f6ae2f2d448
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2e3c8b27591a1fab47ed0e4db9d2874ce7d49e5372fb47ea02c47963a2a4d718",
"cross_cats_sorted": [
"cs.LG",
"cs.NA",
"stat.CO",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2024-03-13T03:45:14Z",
"title_canon_sha256": "140b638a0eff4ff31e103c88a273899094bbac91df038b11f32495ebbc4e2eca"
},
"schema_version": "1.0",
"source": {
"id": "2403.08220",
"kind": "arxiv",
"version": 2
}
}