Pith Number
pith:ZWKN4UW2
pith:2024:ZWKN4UW2QH3ZX54KMG3HMB6WGM
not attested
not anchored
not stored
refs pending
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning
arxiv:2411.19133 v2 · 2024-11-28 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZWKN4UW2QH3ZX54KMG3HMB6WGM}
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
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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 | 2026-07-05T10:05:14.942289Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd94de52da81f79bf78a61b67607d6333795813e600eb6525e9d50eb87206b06
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZWKN4UW2QH3ZX54KMG3HMB6WGM \
| 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: cd94de52da81f79bf78a61b67607d6333795813e600eb6525e9d50eb87206b06
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "faa3abc38ce8e26a843e6d4e35032f669ebf10a5d440aeaff6b2095397f6c5f7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-28T13:34:15Z",
"title_canon_sha256": "e3eea94f3ff4d1ffb09428d904c6dfbfbb9fc728a343b337b3d773dafe010d1f"
},
"schema_version": "1.0",
"source": {
"id": "2411.19133",
"kind": "arxiv",
"version": 2
}
}