Pith Number
pith:K57XIXIE
pith:2017:K57XIXIERE6NK4PD3N3JXCZF54
not attested
not anchored
not stored
refs pending
Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network
arxiv:1704.07049 v2 · 2017-04-24 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K57XIXIERE6NK4PD3N3JXCZF54}
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 | 2026-05-18T00:36:14.068933Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
577f745d04893cd571e3db769b8b25ef379ab035e8a8197dbe938e2ec07560a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K57XIXIERE6NK4PD3N3JXCZF54 \
| 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: 577f745d04893cd571e3db769b8b25ef379ab035e8a8197dbe938e2ec07560a6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5e71be4b502b94ec34dbce2882366bdaa083ccb8e4fbbb6f739fc7b81ba04716",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-04-24T05:58:33Z",
"title_canon_sha256": "a35d0a8a656887f9d746d0a0b8d8737e946978fc638ae9053f0e1035afabd094"
},
"schema_version": "1.0",
"source": {
"id": "1704.07049",
"kind": "arxiv",
"version": 2
}
}