Pith Number
pith:DJOY57UW
pith:2025:DJOY57UWYNA4O2YJRX7YPPF5SA
not attested
not anchored
not stored
refs pending
Physics-Informed Machine Learning with Adaptive Grids for Optical Microrobot Depth Estimation
arxiv:2509.02343 v1 · 2025-09-02 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DJOY57UWYNA4O2YJRX7YPPF5SA}
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 | 2026-07-05T12:03:36.690765Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1a5d8efe96c341c76b098dff87bcbd90017310d30ef4ab62bc566fd10dfc1660
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DJOY57UWYNA4O2YJRX7YPPF5SA \
| 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: 1a5d8efe96c341c76b098dff87bcbd90017310d30ef4ab62bc566fd10dfc1660
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fdff1465a6ba60e539e2eef396b8422dc973ad3cf969dad90cff11247acc9af5",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-09-02T14:11:26Z",
"title_canon_sha256": "ec7044b5c4002f01ec3b5b29223972ac7935225b8b6c8c939c5945e96a5a52a6"
},
"schema_version": "1.0",
"source": {
"id": "2509.02343",
"kind": "arxiv",
"version": 1
}
}