Pith Number
pith:AQFRRNDM
pith:2023:AQFRRNDMZPOHQSYFGO5FLYNSNN
not attested
not anchored
not stored
refs pending
Interpretable Modeling of Single-cell perturbation Responses to Novel Drugs Using Cycle Consistence Learning
arxiv:2311.10315 v1 · 2023-11-17 · q-bio.QM · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AQFRRNDMZPOHQSYFGO5FLYNSNN}
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 | 2026-07-05T07:13:50.454517Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
040b18b46ccbdc784b0533ba55e1b26b7d031daffb574ea95f5b529bec94bafe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AQFRRNDMZPOHQSYFGO5FLYNSNN \
| 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: 040b18b46ccbdc784b0533ba55e1b26b7d031daffb574ea95f5b529bec94bafe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6d2196e0dc9ca4abbed211fb0306c9e9689360335888fb9ca02718d117a99a3e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2023-11-17T03:58:59Z",
"title_canon_sha256": "7f25935e894d6e8b5393038374e3592e9755a618afd0889a52b2e72a985a5d91"
},
"schema_version": "1.0",
"source": {
"id": "2311.10315",
"kind": "arxiv",
"version": 1
}
}