Pith Number
pith:DDKYRHBH
pith:2025:DDKYRHBHI5EVXNFBNYIFXFMOHL
not attested
not anchored
not stored
refs pending
Learning based on neurovectors for tabular data: a new neural network approach
arxiv:2506.07185 v1 · 2025-06-08 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DDKYRHBHI5EVXNFBNYIFXFMOHL}
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
✓
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 | 2026-07-05T11:18:03.175563Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
18d5889c2747495bb4a16e105b958e3aece7ace210c15d6ff6601a75e5a5c5c6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DDKYRHBHI5EVXNFBNYIFXFMOHL \
| 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: 18d5889c2747495bb4a16e105b958e3aece7ace210c15d6ff6601a75e5a5c5c6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b853399e95cddb9bee29d7c3b7bcb5aa630a1b1491b8053cd164e4aafe8664b7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-08T15:09:59Z",
"title_canon_sha256": "0300f596d815dfbe19942d1f7805cc520e62e4d7f85dfe4a4ab0533f85550461"
},
"schema_version": "1.0",
"source": {
"id": "2506.07185",
"kind": "arxiv",
"version": 1
}
}