Pith Number
pith:NNNOCNFU
pith:2025:NNNOCNFUQDZTVVORU2QWHNPQAQ
not attested
not anchored
not stored
refs pending
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
arxiv:2506.21121 v1 · 2025-06-26 · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NNNOCNFUQDZTVVORU2QWHNPQAQ}
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 | 2026-07-05T11:27:40.313848Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b5ae134b480f33ad5d1a6a163b5f004120dfb588cb576de1a7df6ca1a9a6558
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NNNOCNFUQDZTVVORU2QWHNPQAQ \
| 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: 6b5ae134b480f33ad5d1a6a163b5f004120dfb588cb576de1a7df6ca1a9a6558
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "173ceefeb43c8e4767537036cd18acfdd7b2262af50f9988c8bbbe72b6b24641",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-26T09:46:53Z",
"title_canon_sha256": "3bd3de09716d99664940ce9f2f23682ca67559c87fa89f7f5f764451689ab9e9"
},
"schema_version": "1.0",
"source": {
"id": "2506.21121",
"kind": "arxiv",
"version": 1
}
}