Pith Number
pith:KPZBZDPP
pith:2019:KPZBZDPPNG47ED34NVPDISUNEU
not attested
not anchored
not stored
refs pending
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
arxiv:1904.09507 v2 · 2019-04-20 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KPZBZDPPNG47ED34NVPDISUNEU}
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 | 2026-05-17T23:47:50.439736Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53f21c8def69b9f20f7c6d5e344a8d2513774be08ab0044a310f43495f9f007c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KPZBZDPPNG47ED34NVPDISUNEU \
| 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: 53f21c8def69b9f20f7c6d5e344a8d2513774be08ab0044a310f43495f9f007c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "35e36d998bfcdabe8e792555d4946af8c3be3cf15033949b7609e37a1e62ced8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-04-20T22:11:56Z",
"title_canon_sha256": "2da09d09f09a8870827ac0a2fca71809ecf95f9e599a9d916021bbabafe98848"
},
"schema_version": "1.0",
"source": {
"id": "1904.09507",
"kind": "arxiv",
"version": 2
}
}