Pith Number
pith:RHNJFVAI
pith:2019:RHNJFVAICUHNRAODCZABH7VBGC
not attested
not anchored
not stored
refs pending
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
arxiv:1908.03918 v3 · 2019-08-11 · cs.LG · cs.CV · cs.RO · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RHNJFVAICUHNRAODCZABH7VBGC}
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 | 2026-07-05T03:13:19.975446Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
89da92d408150ed881c3164013fea1309fdc25edc05d15e76de8bbcf87163436
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RHNJFVAICUHNRAODCZABH7VBGC \
| 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: 89da92d408150ed881c3164013fea1309fdc25edc05d15e76de8bbcf87163436
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "00f978043ff10b596789cd25751bd8e849704890cec8647a84f28999fb9ef8b3",
"cross_cats_sorted": [
"cs.CV",
"cs.RO",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-08-11T15:03:24Z",
"title_canon_sha256": "bfa4042d45af71923704fb07851594b4b8c67ab5d4f6a5ed104110098aa05f4e"
},
"schema_version": "1.0",
"source": {
"id": "1908.03918",
"kind": "arxiv",
"version": 3
}
}