Pith Number
pith:6P4LZ4Q6
pith:2025:6P4LZ4Q6LFFISSWLEXSE4H7MMY
not attested
not anchored
not stored
refs pending
NDAI-NeuroMAP: A Neuroscience-Specific Embedding Model for Domain-Specific Retrieval
arxiv:2507.03329 v1 · 2025-07-04 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6P4LZ4Q6LFFISSWLEXSE4H7MMY}
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.
Receipt and verification
| First computed | 2026-07-05T11:31:57.264453Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f3f8bcf21e594a894acb25e44e1fec661948db79e57a99e783a7db61e5a87dc9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6P4LZ4Q6LFFISSWLEXSE4H7MMY \
| 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: f3f8bcf21e594a894acb25e44e1fec661948db79e57a99e783a7db61e5a87dc9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "59c3a71d1c483b356f9a849ee581bb7d640be93ade3ded5dc468415589cb50a3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-07-04T06:28:53Z",
"title_canon_sha256": "ee820155a32181d3636a64c7032297f3849b282b7bf30cabdf2accdc76de65dd"
},
"schema_version": "1.0",
"source": {
"id": "2507.03329",
"kind": "arxiv",
"version": 1
}
}