Pith Number
pith:DBEXHUUT
pith:2025:DBEXHUUTFXPOHCPLAVYUYGJGW5
not attested
not anchored
not stored
refs pending
Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins
arxiv:2501.07991 v1 · 2025-01-14 · physics.optics · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DBEXHUUTFXPOHCPLAVYUYGJGW5}
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 | 2026-07-05T10:00:53.460342Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
184973d2932ddee389eb05714c1926b74fedcb570d6ddf157f866c82b0e71bfe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DBEXHUUTFXPOHCPLAVYUYGJGW5 \
| 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: 184973d2932ddee389eb05714c1926b74fedcb570d6ddf157f866c82b0e71bfe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0c407fbd78a45a7be39220d5c4a57852061f735090ce2f5e2099de01f862dc1d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.optics",
"submitted_at": "2025-01-14T10:35:18Z",
"title_canon_sha256": "b7f8855a6dfbd750d949f19ac70fd1128d3d8a036ae20e1b1ffd0b1709a15629"
},
"schema_version": "1.0",
"source": {
"id": "2501.07991",
"kind": "arxiv",
"version": 1
}
}