Pith Number
pith:XPYOLFDR
pith:2025:XPYOLFDRTCLG3SDLFKQQRFORWG
not attested
not anchored
not stored
refs pending
A Neural Network Training Method Based on Neuron Connection Coefficient Adjustments
arxiv:2502.10414 v1 · 2025-01-25 · cs.NE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XPYOLFDRTCLG3SDLFKQQRFORWG}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:14:52.090274Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bbf0e5947198966dc86b2aa10895d1b192520cf02827f229c243e3de1aed1c6c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XPYOLFDRTCLG3SDLFKQQRFORWG \
| 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: bbf0e5947198966dc86b2aa10895d1b192520cf02827f229c243e3de1aed1c6c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7dacb5e3b6ba0e92972d39a8c575786f4b8c35430685c687e639badc56f34bc2",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2025-01-25T16:07:30Z",
"title_canon_sha256": "34dd5e006856bdb40f5f1680bd5023e06cd1f9c3977999f28da0fbeb9fcb5ccd"
},
"schema_version": "1.0",
"source": {
"id": "2502.10414",
"kind": "arxiv",
"version": 1
}
}