Pith Number
pith:FGCHD7LQ
pith:2022:FGCHD7LQTKMUUTW4KY5F726O5V
not attested
not anchored
not stored
refs pending
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models
arxiv:2205.01791 v1 · 2022-05-03 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FGCHD7LQTKMUUTW4KY5F726O5V}
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
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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.
Receipt and verification
| First computed | 2026-07-05T04:20:22.052386Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
298471fd709a994a4edc563a5febceed69825e02f97ba71c51b43829af6c76d7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FGCHD7LQTKMUUTW4KY5F726O5V \
| 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: 298471fd709a994a4edc563a5febceed69825e02f97ba71c51b43829af6c76d7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "64ec886813a6cb29b41336fa084d376e19fba9135bbd3e0b39ab9f913f5916cd",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2022-05-03T21:34:14Z",
"title_canon_sha256": "7905531ce4581b4d7574ea9593a3b291c2d5264dd3c89f4fdf29ef54664a08b9"
},
"schema_version": "1.0",
"source": {
"id": "2205.01791",
"kind": "arxiv",
"version": 1
}
}