Pith Number
pith:K5AXK475
pith:2025:K5AXK475KNHSSWRR6ADDBG7J6M
not attested
not anchored
not stored
refs pending
Model Predictive Control for Crowd Navigation via Learning-Based Trajectory Prediction
arxiv:2508.07079 v1 · 2025-08-09 · cs.RO · cs.AI · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K5AXK475KNHSSWRR6ADDBG7J6M}
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 | 2026-07-05T11:51:40.446654Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57417573fd534f295a31f006309be9f327a66e0b07d3a520f13978f1e7c2f5df
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K5AXK475KNHSSWRR6ADDBG7J6M \
| 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: 57417573fd534f295a31f006309be9f327a66e0b07d3a520f13978f1e7c2f5df
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "630bb5a35dcbf6966023122b688b14037bd87af8e50e0da6866bbfdf40685ea7",
"cross_cats_sorted": [
"cs.AI",
"cs.SY",
"eess.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-08-09T19:11:28Z",
"title_canon_sha256": "3bf7541684dd752eae57fb0f2691d732b18c769ffde03372322022f037294b97"
},
"schema_version": "1.0",
"source": {
"id": "2508.07079",
"kind": "arxiv",
"version": 1
}
}