Pith Number
pith:RSGSXFHL
pith:2020:RSGSXFHLNPVTYX23VCEQCTLUUU
not attested
not anchored
not stored
refs pending
Continual Model-Based Reinforcement Learning with Hypernetworks
arxiv:2009.11997 v3 · 2020-09-25 · cs.LG · cs.AI · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RSGSXFHLNPVTYX23VCEQCTLUUU}
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 | 2026-05-27T01:04:46.014716Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8c8d2b94eb6beb3c5f5ba889014d74a50309cb9dd6eda63643c153e41a7d4a45
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RSGSXFHLNPVTYX23VCEQCTLUUU \
| 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: 8c8d2b94eb6beb3c5f5ba889014d74a50309cb9dd6eda63643c153e41a7d4a45
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af55c55ff13e4b0bd9f28768ed50da22e930813887dd7971930f9d27a8e002b7",
"cross_cats_sorted": [
"cs.AI",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-09-25T01:46:26Z",
"title_canon_sha256": "f8ee338b5cbf9bc6881fa5426d83335d0841bf6b1093bc96294f1641490fe664"
},
"schema_version": "1.0",
"source": {
"id": "2009.11997",
"kind": "arxiv",
"version": 3
}
}