Pith Number
pith:RXQA2P7L
pith:2016:RXQA2P7LB5D4A2DSUN57DIC2H2
not attested
not anchored
not stored
refs pending
Adaptive stimulus design for dynamic recurrent neural network models
arxiv:1610.05561 v1 · 2016-10-18 · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RXQA2P7LB5D4A2DSUN57DIC2H2}
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 | 2026-05-18T01:01:58.994628Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8de00d3feb0f47c06872a37bf1a05a3e8f6df75ab7fdf4850352c3820a97e4d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RXQA2P7LB5D4A2DSUN57DIC2H2 \
| 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: 8de00d3feb0f47c06872a37bf1a05a3e8f6df75ab7fdf4850352c3820a97e4d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2fc2c3ff16eba83ad8aac61c5b2136030b98191b48af9f49c2866669e491a416",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2016-10-18T12:20:01Z",
"title_canon_sha256": "e238542633f1394fbc355cf48e770f68481c52b1779d619bc012c7a14ff42060"
},
"schema_version": "1.0",
"source": {
"id": "1610.05561",
"kind": "arxiv",
"version": 1
}
}