Pith. sign in
Pith Number

pith:K73TEPT4

pith:2023:K73TEPT4EJ4K7SWA6UGS65FPDE
not attested not anchored not stored refs pending

On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology

Federico Barbero, Francesco Di Giovanni, Giulia Luise, Lorenzo Giusti, Michael Bronstein, Pietro Lio'

arxiv:2302.02941 v3 · 2023-02-06 · cs.LG · cs.AI · cs.DM · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K73TEPT4EJ4K7SWA6UGS65FPDE}

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 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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T06:13:19.380617Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

57f7323e7c2278afcac0f50d2f74af1905192c8725da615d62848f904d2bda42

Aliases

arxiv: 2302.02941 · arxiv_version: 2302.02941v3 · doi: 10.48550/arxiv.2302.02941 · pith_short_12: K73TEPT4EJ4K · pith_short_16: K73TEPT4EJ4K7SWA · pith_short_8: K73TEPT4
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K73TEPT4EJ4K7SWA6UGS65FPDE \
  | 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: 57f7323e7c2278afcac0f50d2f74af1905192c8725da615d62848f904d2bda42
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a7f6c20e6738daaac0d281f5cba72d5e1774f64afa9422b896a4d68a07dd0b8c",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.DM",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-02-06T17:16:42Z",
    "title_canon_sha256": "90c8af60b2365618def19731427d13c7367eb4a4c6740b1129f6c75918d5b911"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2302.02941",
    "kind": "arxiv",
    "version": 3
  }
}