Pith Number
pith:YNYNGSTN
pith:2021:YNYNGSTNEZDBL63IYBFXS5JOQB
not attested
not anchored
not stored
refs pending
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods
arxiv:2107.07274 v1 · 2021-07-15 · cs.LG · physics.geo-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YNYNGSTNEZDBL63IYBFXS5JOQB}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
5
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.
Receipt and verification
| First computed | 2026-07-05T02:58:12.510778Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c370d34a6d264615fb68c04b79752e805930e96706daa897b50af843c3501a36
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YNYNGSTNEZDBL63IYBFXS5JOQB \
| 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: c370d34a6d264615fb68c04b79752e805930e96706daa897b50af843c3501a36
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dfff05fa492e43b87066ecfe0bb36845fd86e9dd1237a2cebb033ec73ec0c198",
"cross_cats_sorted": [
"physics.geo-ph"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-07-15T12:01:29Z",
"title_canon_sha256": "b817c3197ccea0e655dff1d6ae8f82d603649a64d1cb1d500a8558f5511f7f56"
},
"schema_version": "1.0",
"source": {
"id": "2107.07274",
"kind": "arxiv",
"version": 1
}
}