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pith:3LHH5HS7

pith:2026:3LHH5HS7RJ2Q7COSWLHPMC5ZVK
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Reversible Residual Normalization Alleviates Spatio-Temporal Distribution Shift

Mehdi Naima, Vincent Gauthier, Zhaobo Hu

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

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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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.

Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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

arxiv: 2604.15838 · arxiv_version: 2604.15838v2 · doi: 10.48550/arxiv.2604.15838 · pith_short_12: 3LHH5HS7RJ2Q · pith_short_16: 3LHH5HS7RJ2Q7COS · pith_short_8: 3LHH5HS7
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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
{
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    "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"
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  "source": {
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    "kind": "arxiv",
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