Pith Number
pith:CTB2TRVX
pith:2025:CTB2TRVXFYOWF4XY3YTUOAVX4C
not attested
not anchored
not stored
refs pending
NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models
arxiv:2510.13068 v4 · 2025-10-15 · cs.LG · cs.AI · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CTB2TRVXFYOWF4XY3YTUOAVX4C}
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
· sign in to
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.
Cited by
Receipt and verification
| First computed | 2026-05-20T00:04:14.742773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
14c3a9c6b72e1d62f2f8de274702b7e0bdfc07b91c6bd0fa9365a0c4f5308601
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CTB2TRVXFYOWF4XY3YTUOAVX4C \
| 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: 14c3a9c6b72e1d62f2f8de274702b7e0bdfc07b91c6bd0fa9365a0c4f5308601
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "caecca1559ef7d8cf864d015b4f8029b6d0abe88a73038d6c039520667bb8481",
"cross_cats_sorted": [
"cs.AI",
"cs.HC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-10-15T01:26:52Z",
"title_canon_sha256": "3162583c536829ebf67f2ffd70f742494792f2279d23853631834dc1b5837640"
},
"schema_version": "1.0",
"source": {
"id": "2510.13068",
"kind": "arxiv",
"version": 4
}
}