Pith Number
pith:BWMDUDUE
pith:2026:BWMDUDUEHXZNQUZ3NNBTCURE3X
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not anchored
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refs pending
Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques
arxiv:2606.11140 v1 · 2026-06-09 · physics.geo-ph · cs.AI · cs.LG · stat.AP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BWMDUDUEHXZNQUZ3NNBTCURE3X}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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.
Receipt and verification
| First computed | 2026-06-10T01:11:13.223819Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d983a0e843df2d8533b6b43315224dde41b97ad17596df4423a81bc8344560c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BWMDUDUEHXZNQUZ3NNBTCURE3X \
| 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: 0d983a0e843df2d8533b6b43315224dde41b97ad17596df4423a81bc8344560c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "869b33cde108274846b9f4d3b6d0f4c58d6be0a294b4d635a1e255945c276635",
"cross_cats_sorted": [
"cs.AI",
"cs.LG",
"stat.AP",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.geo-ph",
"submitted_at": "2026-06-09T17:29:47Z",
"title_canon_sha256": "ad0e38cd8376b8aeb2c7290fd98c0de867f193e83294106e68eb2811c589d0fe"
},
"schema_version": "1.0",
"source": {
"id": "2606.11140",
"kind": "arxiv",
"version": 1
}
}