Pith Number
pith:WD2J7IPV
pith:2019:WD2J7IPVX3ZS2N6YBNNMDSAQKD
not attested
not anchored
not stored
refs pending
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
arxiv:1907.03395 v2 · 2019-07-04 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WD2J7IPVX3ZS2N6YBNNMDSAQKD}
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 | 2026-05-17T23:40:23.025929Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b0f49fa1f5bef32d37d80b5ac1c81050ea98c6524c5daf1a95363ef188a236e6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WD2J7IPVX3ZS2N6YBNNMDSAQKD \
| 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: b0f49fa1f5bef32d37d80b5ac1c81050ea98c6524c5daf1a95363ef188a236e6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2d0a6e4d1f6e77cc2aae00c7684574256134f2f060602c1004796d9c58d88cb4",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-07-04T23:48:07Z",
"title_canon_sha256": "c89db595d4d96b5200b5f9621d3ef5d4002337737e46daaf77fa987388def9fa"
},
"schema_version": "1.0",
"source": {
"id": "1907.03395",
"kind": "arxiv",
"version": 2
}
}