Pith Number
pith:6FFU767A
pith:2024:6FFU767AXLDGBMGDJ2VQIL3OOE
not attested
not anchored
not stored
refs pending
Deep State Space Recurrent Neural Networks for Time Series Forecasting
arxiv:2407.15236 v1 · 2024-07-21 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6FFU767AXLDGBMGDJ2VQIL3OOE}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:46:40.554380Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f14b4ffbe0bac660b0c34eab042f6e711705e3f598d02a7cd0a5997fd8f5b97e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6FFU767AXLDGBMGDJ2VQIL3OOE \
| 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: f14b4ffbe0bac660b0c34eab042f6e711705e3f598d02a7cd0a5997fd8f5b97e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7a394b8812b65a31a1b3b54acf0879196bb61fb8d0377c0948e0af1c1e377086",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-07-21T17:59:27Z",
"title_canon_sha256": "4fce679288ff6e674439a70c221988fa56bc300edefdf021d20c00b16ebc283d"
},
"schema_version": "1.0",
"source": {
"id": "2407.15236",
"kind": "arxiv",
"version": 1
}
}