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Pith Number

pith:J7LO67KL

pith:2025:J7LO67KLPCWF2NPUXPGR65XBJ2
not attested not anchored not stored refs pending

A Multi-Task Learning Approach to Linear Multivariate Forecasting

Hedi Zisling, Liran Nochumsohn, Omri Azencot

arxiv:2502.03571 v2 · 2025-02-05 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J7LO67KLPCWF2NPUXPGR65XBJ2}

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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.
Receipt and verification
First computed 2026-07-05T10:31:53.759030Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4fd6ef7d4b78ac5d35f4bbcd1f76e14e96fe4955c7f3c8c02354428ee177c152

Aliases

arxiv: 2502.03571 · arxiv_version: 2502.03571v2 · doi: 10.48550/arxiv.2502.03571 · pith_short_12: J7LO67KLPCWF · pith_short_16: J7LO67KLPCWF2NPU · pith_short_8: J7LO67KL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J7LO67KLPCWF2NPUXPGR65XBJ2 \
  | 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: 4fd6ef7d4b78ac5d35f4bbcd1f76e14e96fe4955c7f3c8c02354428ee177c152
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "391af24d44f7d461c088e77794bde39db07fa7fe53671357533d07de8ea32b45",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-02-05T19:34:23Z",
    "title_canon_sha256": "a77bcbffbf1be4c33bf6845243187031fbe98d36f9a46941a9a7bbb5fc9b99cd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2502.03571",
    "kind": "arxiv",
    "version": 2
  }
}