Pith Number
pith:3WTMG6RB
pith:2024:3WTMG6RB53FTNIUZVQJSVQXJBZ
not attested
not anchored
not stored
refs pending
Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience
arxiv:2408.12664 v2 · 2024-08-22 · cs.AI · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3WTMG6RB53FTNIUZVQJSVQXJBZ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:59:12.592890Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dda6c37a21eecb36a299ac132ac2e90e7f52dddd502a5372d32f3983e8397115
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3WTMG6RB53FTNIUZVQJSVQXJBZ \
| 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: dda6c37a21eecb36a299ac132ac2e90e7f52dddd502a5372d32f3983e8397115
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5d1e0f3779abc2b88a59309a82f3d0f9fe29ad5109035812c8fe2f7838438ac4",
"cross_cats_sorted": [
"q-bio.NC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-08-22T18:17:20Z",
"title_canon_sha256": "4c1494b88d386840a710397471fc1e3791b25c698619b372b711d26bb800e715"
},
"schema_version": "1.0",
"source": {
"id": "2408.12664",
"kind": "arxiv",
"version": 2
}
}