Pith. sign in
Pith Number

pith:SOG3J4E2

pith:2024:SOG3J4E2AOOHRTC3XZVE6TABEV
not attested not anchored not stored refs pending

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations

Henry Conklin, Jianfeng Gao, Mattia Opper, Paul Smolensky, Paul Soulos, Roland Fernandez

arxiv:2412.14076 v1 · 2024-12-18 · cs.AI · cs.CL

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SOG3J4E2AOOHRTC3XZVE6TABEV}

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 2026-07-05T09:51:13.237339Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

938db4f09a039c78cc5bbe6a4f4c0125503b0353c83fedbc431a9cdd032010a7

Aliases

arxiv: 2412.14076 · arxiv_version: 2412.14076v1 · doi: 10.48550/arxiv.2412.14076 · pith_short_12: SOG3J4E2AOOH · pith_short_16: SOG3J4E2AOOHRTC3 · pith_short_8: SOG3J4E2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SOG3J4E2AOOHRTC3XZVE6TABEV \
  | 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: 938db4f09a039c78cc5bbe6a4f4c0125503b0353c83fedbc431a9cdd032010a7
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7811e045baffd235eeb4c6728252f8990114cd746f5b078d77b88e21abfac96a",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2024-12-18T17:20:19Z",
    "title_canon_sha256": "263c3349f8c42d57ae14c7c17610a02f54a357e34d7201af11f3295ba2622d87"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2412.14076",
    "kind": "arxiv",
    "version": 1
  }
}