Pith. sign in
Pith Number

pith:NEEZNZHE

pith:2025:NEEZNZHEUPGVW5VGNC4OBYJRNH
not attested not anchored not stored refs pending

Automated Learning of Semantic Embedding Representations for Diffusion Models

Limai Jiang, Yunpeng Cai

arxiv:2505.05732 v1 · 2025-05-09 · cs.LG · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NEEZNZHEUPGVW5VGNC4OBYJRNH}

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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 2026-07-05T11:00:46.726593Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

690996e4e4a3cd5b76a668b8e0e13169c1fc8850b135a72970689e0c38947c32

Aliases

arxiv: 2505.05732 · arxiv_version: 2505.05732v1 · doi: 10.48550/arxiv.2505.05732 · pith_short_12: NEEZNZHEUPGV · pith_short_16: NEEZNZHEUPGVW5VG · pith_short_8: NEEZNZHE
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NEEZNZHEUPGVW5VGNC4OBYJRNH \
  | 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: 690996e4e4a3cd5b76a668b8e0e13169c1fc8850b135a72970689e0c38947c32
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "ab1010fd363ebf8dbd29109f30def1b038c64b41b07cb1dddd7fe863024d76ff",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-05-09T02:10:46Z",
    "title_canon_sha256": "a589c3c0fd90e14687a78f9b28703381d3357f538219c2439c92d7c40b69be58"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.05732",
    "kind": "arxiv",
    "version": 1
  }
}