Pith Number
pith:T6VGRMRD
pith:2025:T6VGRMRDCLF4DMMYJK7TXEUJTX
not attested
not anchored
not stored
refs pending
MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting
arxiv:2509.03852 v1 · 2025-09-04 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T6VGRMRDCLF4DMMYJK7TXEUJTX}
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 | 2026-07-05T12:04:47.944787Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9faa68b22312cbc1b1984abf3b92899dfd1edc83a1a98da5581ec1168e3318c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T6VGRMRDCLF4DMMYJK7TXEUJTX \
| 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: 9faa68b22312cbc1b1984abf3b92899dfd1edc83a1a98da5581ec1168e3318c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dac9cf9f24e305161ba10875f286d0c62186d4347c7424234b4dcf85d7a4e9ee",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-09-04T03:28:42Z",
"title_canon_sha256": "3d3d8cc8626ebf045038ce80f7e1e0b350a68337b2890b75464430b246ae320d"
},
"schema_version": "1.0",
"source": {
"id": "2509.03852",
"kind": "arxiv",
"version": 1
}
}