Pith Number
pith:NKQMTVZL
pith:2020:NKQMTVZL4CPVVTV5AHNCGOQNKI
not attested
not anchored
not stored
refs pending
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
arxiv:2004.12485 v2 · 2020-04-26 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NKQMTVZL4CPVVTV5AHNCGOQNKI}
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 | 2026-07-05T01:04:32.000031Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6aa0c9d72be09f5acebd01da233a0d5221cde06065be2952cf3af741586544c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NKQMTVZL4CPVVTV5AHNCGOQNKI \
| 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: 6aa0c9d72be09f5acebd01da233a0d5221cde06065be2952cf3af741586544c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "95cc97fa6328b91537721dbc73f07be9659e719054670f20ed2679567cfd6a49",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-04-26T21:40:03Z",
"title_canon_sha256": "941ce3286d317cac21fb09e83b3d8da6b10a44a56796377fce3efe42bc9ef9dc"
},
"schema_version": "1.0",
"source": {
"id": "2004.12485",
"kind": "arxiv",
"version": 2
}
}