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Pith Number

pith:IBYLZWFJ

pith:2023:IBYLZWFJLXZBYRZG7TKCNRHHWL
not attested not anchored not stored refs pending

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

Abdul Fatir Ansari, Hao Wang, Jasper Zschiegner, Marcel Kollovieh, Michael Bohlke-Schneider, Yuyang Wang

arxiv:2307.11494 v3 · 2023-07-21 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IBYLZWFJLXZBYRZG7TKCNRHHWL}

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 2026-07-05T07:15:15.877511Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4070bcd8a95df21c4726fcd426c4e7b2dd57ddd1aade5293bb2ed764de3cf851

Aliases

arxiv: 2307.11494 · arxiv_version: 2307.11494v3 · doi: 10.48550/arxiv.2307.11494 · pith_short_12: IBYLZWFJLXZB · pith_short_16: IBYLZWFJLXZBYRZG · pith_short_8: IBYLZWFJ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IBYLZWFJLXZBYRZG7TKCNRHHWL \
  | 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: 4070bcd8a95df21c4726fcd426c4e7b2dd57ddd1aade5293bb2ed764de3cf851
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5de381afecc374f7da49b4a315fc1b0c09daf79b7a297acf30a48885b2d18003",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-07-21T10:56:36Z",
    "title_canon_sha256": "f8564eee498a3345615371e9b3c51ef727c47a5d73ffd2b46686e309bd9d5a00"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2307.11494",
    "kind": "arxiv",
    "version": 3
  }
}