Pith Number
pith:SIPNEI2T
pith:2026:SIPNEI2T3ECZ46UGDSI5M2HBBJ
not attested
not anchored
not stored
refs pending
Rethinking Gaussian Trajectory Predictors: Calibrated Uncertainty for Safe Planning
arxiv:2603.10407 v2 · 2026-03-11 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SIPNEI2T3ECZ46UGDSI5M2HBBJ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-14T01:20:55.911102Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
921ed22353d9059e7a861c91d668e10a78266592a7ca3bbf1d6d43f431147abc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SIPNEI2T3ECZ46UGDSI5M2HBBJ \
| 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: 921ed22353d9059e7a861c91d668e10a78266592a7ca3bbf1d6d43f431147abc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "22cb1f8427bdae0c4766e16f29e054d598e814ddcb8330a2993480ba662ea683",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2026-03-11T04:42:49Z",
"title_canon_sha256": "05f1d76a8c2a8a55a07579d5c9ed54fd304c8ae1afe8b4e14d3870fb2043d56d"
},
"schema_version": "1.0",
"source": {
"id": "2603.10407",
"kind": "arxiv",
"version": 2
}
}