Pith Number
pith:BGZMF22M
pith:2026:BGZMF22MGW2ZNZU2ZF54JKCFJR
not attested
not anchored
not stored
refs pending
Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving
arxiv:2606.23359 v1 · 2026-06-22 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BGZMF22MGW2ZNZU2ZF54JKCFJR}
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 | 2026-06-23T03:14:17.755597Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09b2c2eb4c35b596e69ac97bc4a8454c503f01db9b1cb0b96d26b383eb2f2aab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BGZMF22MGW2ZNZU2ZF54JKCFJR \
| 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: 09b2c2eb4c35b596e69ac97bc4a8454c503f01db9b1cb0b96d26b383eb2f2aab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3275dc3f776c5bdf537c6ae4d204fb043633b49ddbf801a08a75b1a44445aa81",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-22T13:58:56Z",
"title_canon_sha256": "ad439c9938a739d7803598cb067e0addc650e859b336cb396e7d918814a8ce7d"
},
"schema_version": "1.0",
"source": {
"id": "2606.23359",
"kind": "arxiv",
"version": 1
}
}