Pith Number
pith:NYFBS3CH
pith:2020:NYFBS3CHC4DZQPHHFMWJB52OIG
not attested
not anchored
not stored
refs pending
Neural Additive Vector Autoregression Models for Causal Discovery in Time Series
arxiv:2010.09429 v2 · 2020-10-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NYFBS3CHC4DZQPHHFMWJB52OIG}
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 | 2026-07-05T03:23:05.683577Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6e0a196c471707983ce72b2c90f74e4180b8afea6ef5b1e2b167f774f67387fe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NYFBS3CHC4DZQPHHFMWJB52OIG \
| 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: 6e0a196c471707983ce72b2c90f74e4180b8afea6ef5b1e2b167f774f67387fe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4b8e8b6c125e1fc0888d4d7c7b8fe46941e129280973b6a6a26c43fa28a86230",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-10-19T12:44:25Z",
"title_canon_sha256": "4ef6c6acc26870009ea4efca90c47a20873a907a26d746452509bc51c83e1fb6"
},
"schema_version": "1.0",
"source": {
"id": "2010.09429",
"kind": "arxiv",
"version": 2
}
}