pith:3LHH5HS7
Reversible Residual Normalization Alleviates Spatio-Temporal Distribution Shift
Reversible Residual Normalization uses spatially-aware invertible transformations to counter distribution shifts in spatio-temporal forecasting.
arxiv:2604.15838 v2 · 2026-04-17 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3LHH5HS7RJ2Q7COSWLHPMC5ZVK}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
We propose Reversible Residual Normalization (RRN), a novel framework that performs spatially-aware invertible transformations to address distribution shift in both spatial and temporal dimensions.
That integrating graph convolutional operations inside invertible residual blocks will produce adaptive normalization that respects the underlying graph structure without introducing irreversible information loss or unstable gradients.
Reversible Residual Normalization (RRN) introduces spatially-aware invertible residual blocks that combine center normalization with spectral-constrained graph convolutions to mitigate spatio-temporal distribution shifts in graph forecasting.
Receipt and verification
| First computed | 2026-06-19T16:12:54.237122Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dace7e9e5f8a750f89d2b2cef60bb9aab8837d529aeb6f0bb83c443497507b2e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3LHH5HS7RJ2Q7COSWLHPMC5ZVK \
| 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: dace7e9e5f8a750f89d2b2cef60bb9aab8837d529aeb6f0bb83c443497507b2e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dec71ea46a4db460b4e20017ce94f27c18691ffcca6b5ccb0ec1722e710bd923",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-04-17T08:40:28Z",
"title_canon_sha256": "1704fed139c80442ed897944379b11385a5501467cf546fec26a51f3da387e40"
},
"schema_version": "1.0",
"source": {
"id": "2604.15838",
"kind": "arxiv",
"version": 2
}
}