Pith Number
pith:MRDQTBU2
pith:2020:MRDQTBU2YLRMZWDMUJLRJYMK4P
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refs pending
Biomechanic Posture Stabilisation via Iterative Training of Multi-policy Deep Reinforcement Learning Agents
arxiv:2008.12210 v1 · 2020-08-21 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MRDQTBU2YLRMZWDMUJLRJYMK4P}
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Record completeness
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Bitcoin timestamp
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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 | 2026-07-05T01:31:03.729392Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
644709869ac2e2ccd86ca25714e18ae3cc00f4bb14349fd1a0b53ad1d781cb4b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MRDQTBU2YLRMZWDMUJLRJYMK4P \
| 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: 644709869ac2e2ccd86ca25714e18ae3cc00f4bb14349fd1a0b53ad1d781cb4b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff5d71c838564a36231019ebdcff4d2d539e643da09f99f24f0b6edeb80edd6d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2020-08-21T05:58:10Z",
"title_canon_sha256": "7243f9644bb3350c20c0b014468bab584d1673c35c005bcae7d8603c5f2b73e6"
},
"schema_version": "1.0",
"source": {
"id": "2008.12210",
"kind": "arxiv",
"version": 1
}
}