Pith Number
pith:TVINA4R6
pith:2023:TVINA4R6GNNSPMZVGYJWITZ6BN
not attested
not anchored
not stored
refs pending
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning
arxiv:2303.17984 v1 · 2023-03-31 · cs.MA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TVINA4R6GNNSPMZVGYJWITZ6BN}
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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4
Citations
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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 | 2026-07-05T05:56:48.569655Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9d50d0723e335b27b3353613644f3e0b5d16eeee5313b0ddf0ca6c8980907c2f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TVINA4R6GNNSPMZVGYJWITZ6BN \
| 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: 9d50d0723e335b27b3353613644f3e0b5d16eeee5313b0ddf0ca6c8980907c2f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8455688a33dbcbb4a3925e81e4a28f27bdba311967ff5ad25c5fc3311eb9cd25",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.MA",
"submitted_at": "2023-03-31T11:42:04Z",
"title_canon_sha256": "d4a6b4c94a7b95b120e66ef96fca98bc3a409a700aa5c92b707bce992f3c9970"
},
"schema_version": "1.0",
"source": {
"id": "2303.17984",
"kind": "arxiv",
"version": 1
}
}