Pith Number
pith:B53WSDCU
pith:2025:B53WSDCU7KXJZ3SHLG4653NI7F
not attested
not anchored
not stored
refs pending
CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs
arxiv:2505.22469 v1 · 2025-05-28 · cs.PF · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B53WSDCU7KXJZ3SHLG4653NI7F}
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 | 2026-07-05T11:11:24.739042Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f77690c54faae9cee4759b9eeeda8f959f602b25919b00ac5ebc0e20ca7222a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B53WSDCU7KXJZ3SHLG4653NI7F \
| 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: 0f77690c54faae9cee4759b9eeeda8f959f602b25919b00ac5ebc0e20ca7222a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "409c5152faa1798280660b5e2f5d8c5229db818684318b634063241134ae034c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.PF",
"submitted_at": "2025-05-28T15:22:15Z",
"title_canon_sha256": "ca8b3ea582712c75283cb8c32d95e678f78a063de4a07f84011308e670abaa9e"
},
"schema_version": "1.0",
"source": {
"id": "2505.22469",
"kind": "arxiv",
"version": 1
}
}