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pith:HNDNR74B

pith:2023:HNDNR74BJDMTPLXCOJ7DIPHUND
not attested not anchored not stored refs pending

Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks

Carmelo Gonzales, Daniel Levy, Santiago Miret, S\'ekou-Oumar Kaba, Siamak Ravanbakhsh

arxiv:2309.03139 v1 · 2023-09-06 · cs.LG

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\usepackage{pith}
\pithnumber{HNDNR74BJDMTPLXCOJ7DIPHUND}

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

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2 papers in Pith

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First computed 2026-07-05T06:48:21.374672Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3b46d8ff8148d937aee2727e343cf468d81b829611bc7a8c5ff33cf5f7628f8e

Aliases

arxiv: 2309.03139 · arxiv_version: 2309.03139v1 · doi: 10.48550/arxiv.2309.03139 · pith_short_12: HNDNR74BJDMT · pith_short_16: HNDNR74BJDMTPLXC · pith_short_8: HNDNR74B
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HNDNR74BJDMTPLXCOJ7DIPHUND \
  | 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: 3b46d8ff8148d937aee2727e343cf468d81b829611bc7a8c5ff33cf5f7628f8e
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a32566e8cb79f9ccf80f3255d0d481af5ba54b9a128b43a29db91f3b37d94a7f",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-09-06T16:24:26Z",
    "title_canon_sha256": "f4554c3d3e398ed70546206b669202b5d9d6968bbd2d3c073b0f8020d4a132fb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2309.03139",
    "kind": "arxiv",
    "version": 1
  }
}