Pith. sign in
Pith Number

pith:VG72JCJ7

pith:2024:VG72JCJ746H3OZCAFG7BSV45FC
not attested not anchored not stored refs pending

Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens

Biplav Srivastava, Kausik Lakkaraju, Marco Valtorta, Parisa Zehtabi, Rachneet Kaur, Sunandita Patra, Zhen Zeng

arxiv:2406.12908 v1 · 2024-06-12 · cs.LG · cs.AI · stat.ME · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VG72JCJ746H3OZCAFG7BSV45FC}

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 2026-07-05T08:33:53.226141Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a9bfa4893fe78fb7644029be19579d28a558edd3efc7c30eb0bb99a243fb8797

Aliases

arxiv: 2406.12908 · arxiv_version: 2406.12908v1 · doi: 10.48550/arxiv.2406.12908 · pith_short_12: VG72JCJ746H3 · pith_short_16: VG72JCJ746H3OZCA · pith_short_8: VG72JCJ7
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VG72JCJ746H3OZCAFG7BSV45FC \
  | 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: a9bfa4893fe78fb7644029be19579d28a558edd3efc7c30eb0bb99a243fb8797
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "b2c44831ad44f24d231e8b062e0ea604c2f39061d83f7cf6e5727fecff7f6722",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ME",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-06-12T17:39:16Z",
    "title_canon_sha256": "55c703fa4846f5bc3b9a73762b4a3a7045222b4fb7bee9ae8c95c319d2695c75"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2406.12908",
    "kind": "arxiv",
    "version": 1
  }
}