Pith Number
pith:VJEZAQFB
pith:2024:VJEZAQFBS2TGRTQXYUGLDCLGXL
not attested
not anchored
not stored
refs pending
Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting
arxiv:2409.15662 v1 · 2024-09-24 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VJEZAQFBS2TGRTQXYUGLDCLGXL}
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 | 2026-07-05T09:10:58.180358Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa499040a196a668ce17c50cb18966bae0275f1a7f6a8991029450099c181e3f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJEZAQFBS2TGRTQXYUGLDCLGXL \
| 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: aa499040a196a668ce17c50cb18966bae0275f1a7f6a8991029450099c181e3f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "abf904147244a6b60dd6b4686de2cf9ee5c2435e56746956ba1b3ca1dd4992b5",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-09-24T01:53:22Z",
"title_canon_sha256": "8bcbf219a1246027087d4f549dd3312a2a1ad49e72f0aaca09b7a37218f7e217"
},
"schema_version": "1.0",
"source": {
"id": "2409.15662",
"kind": "arxiv",
"version": 1
}
}