Pith Number
pith:HEAPP7EZ
pith:2025:HEAPP7EZTUVKNJ5MXSBBA36CDG
not attested
not anchored
not stored
refs pending
BAN: Neuroanatomical Aligning in Auditory Recognition between Artificial Neural Network and Human Cortex
arxiv:2502.15503 v1 · 2025-02-21 · q-bio.NC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HEAPP7EZTUVKNJ5MXSBBA36CDG}
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 | 2026-07-05T10:18:02.760642Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3900f7fc999d2aa6a7acbc82106fc21995aaeb2b44bb9d6693b8704a01132769
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HEAPP7EZTUVKNJ5MXSBBA36CDG \
| 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: 3900f7fc999d2aa6a7acbc82106fc21995aaeb2b44bb9d6693b8704a01132769
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8afc2a442e89d178e3e42091988af28dc11e2de4ad37c73d82029bc882cc66b9",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2025-02-21T14:57:01Z",
"title_canon_sha256": "8a90459150f0974ff5f3597b94c206db41f6e21365cd8524f004a2e02ead0fa5"
},
"schema_version": "1.0",
"source": {
"id": "2502.15503",
"kind": "arxiv",
"version": 1
}
}