Pith Number
pith:YQKDWGM5
pith:2024:YQKDWGM5L4R7OJGZCD4EN2BVNT
not attested
not anchored
not stored
refs pending
Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation
arxiv:2409.09920 v2 · 2024-09-16 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YQKDWGM5L4R7OJGZCD4EN2BVNT}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T09:19:31.508810Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c4143b199d5f23f724d910f846e8356cf36feaa36dc37e82f6360108d3871fe0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YQKDWGM5L4R7OJGZCD4EN2BVNT \
| 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: c4143b199d5f23f724d910f846e8356cf36feaa36dc37e82f6360108d3871fe0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a40cd7ac55d3e09024b75ea7db1f6c653b29a7954cba897a874ceb9ed0317cd4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-09-16T01:35:34Z",
"title_canon_sha256": "4f1095981e3c4c9035ca96b9af8edd8370c19d23f0c5e5b88c04fe7383747b8a"
},
"schema_version": "1.0",
"source": {
"id": "2409.09920",
"kind": "arxiv",
"version": 2
}
}