Pith Number
pith:D2LGPHMS
pith:2018:D2LGPHMS74DMZZO4B3DFFP3XCT
not attested
not anchored
not stored
refs pending
Adaptive robot body learning and estimation through predictive coding
arxiv:1805.03104 v2 · 2018-05-08 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D2LGPHMS74DMZZO4B3DFFP3XCT}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:14:17.587772Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1e96679d92ff06cce5dc0ec652bf7714c090db31a9b323d045ed9017aaab1b93
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D2LGPHMS74DMZZO4B3DFFP3XCT \
| 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: 1e96679d92ff06cce5dc0ec652bf7714c090db31a9b323d045ed9017aaab1b93
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b5c4ae00e24261a7528251e9c29698df2eee64ec02d255c33495cc1631198f26",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2018-05-08T15:26:22Z",
"title_canon_sha256": "1278729335b5292cfe86f71b1448758fececaa1fcaa138212fe993bef6a5b8ac"
},
"schema_version": "1.0",
"source": {
"id": "1805.03104",
"kind": "arxiv",
"version": 2
}
}