Pith Number
pith:NZJXMALJ
pith:2017:NZJXMALJ3HY4O3YDVE6SV5U2WH
not attested
not anchored
not stored
refs pending
CINet: A Learning Based Approach to Incremental Context Modeling in Robots
arxiv:1710.04981 v3 · 2017-10-13 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NZJXMALJ3HY4O3YDVE6SV5U2WH}
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 | 2026-05-18T00:09:36.395139Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6e53760169d9f1c76f03a93d2af69ab1d3c0b5f20922b74aa890d4e5ddbe6362
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NZJXMALJ3HY4O3YDVE6SV5U2WH \
| 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: 6e53760169d9f1c76f03a93d2af69ab1d3c0b5f20922b74aa890d4e5ddbe6362
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bd4d29ea4792a55d2e2ad444799577663bf899d04c00a2884a35b27230532b75",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2017-10-13T16:06:18Z",
"title_canon_sha256": "ac18f771cc76000901b6a15f3dc60645939e6ae0b881d4857e24208922112532"
},
"schema_version": "1.0",
"source": {
"id": "1710.04981",
"kind": "arxiv",
"version": 3
}
}