Pith Number
pith:AQIPVNDR
pith:2022:AQIPVNDRF63RBIFBGXLNZHXDBM
not attested
not anchored
not stored
refs pending
A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)
arxiv:2205.05710 v1 · 2022-04-09 · cs.CE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AQIPVNDRF63RBIFBGXLNZHXDBM}
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
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claim
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 | 2026-07-05T06:31:28.862095Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0410fab4712fb710a0a135d6dc9ee30b3fd342a06441b60f08ffed25454f2793
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AQIPVNDRF63RBIFBGXLNZHXDBM \
| 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: 0410fab4712fb710a0a135d6dc9ee30b3fd342a06441b60f08ffed25454f2793
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4c3f626be5a1f8fe30f654e360447285647961242736adcdae87cfc9c11e9135",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CE",
"submitted_at": "2022-04-09T13:23:32Z",
"title_canon_sha256": "12acf7c9b38b35290e91d40a2328d779b9e7b8d5020700f92bdbc905ad198864"
},
"schema_version": "1.0",
"source": {
"id": "2205.05710",
"kind": "arxiv",
"version": 1
}
}