Pith Number

pith:DUZJ2TDP

pith:2024:DUZJ2TDPDYJGHRUMPJZGILTZR7

not attested not anchored not stored refs pending

Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization

Fangzhao Zhang, Mert Pilanci

arxiv:2402.01965 v3 · 2024-02-03 · cs.LG · math.OC

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\usepackage{pith}
\pithnumber{DUZJ2TDPDYJGHRUMPJZGILTZR7}

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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.

Cited by

2 papers in Pith

Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine

Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access

Receipt and verification

First computed	2026-07-05T08:21:49.160456Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1d329d4c6f1e1263c68c7a72642e798ffdeb51dbd81a61f18e08bd82bd74fd7f

Aliases

arxiv: 2402.01965 · arxiv_version: 2402.01965v3 · doi: 10.48550/arxiv.2402.01965 · pith_short_12: DUZJ2TDPDYJG · pith_short_16: DUZJ2TDPDYJGHRUM · pith_short_8: DUZJ2TDP

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/DUZJ2TDPDYJGHRUMPJZGILTZR7 \
  | 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: 1d329d4c6f1e1263c68c7a72642e798ffdeb51dbd81a61f18e08bd82bd74fd7f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0ea3e7ab0929a91e33f4a517ad8e1c0d1ea8abf347b953f9e708d7f517083363",
    "cross_cats_sorted": [
      "math.OC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-02-03T00:20:25Z",
    "title_canon_sha256": "c1b4181552f8b85a38110acc02cd26c3a392cb24992fe2db95f2609e6dc34859"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.01965",
    "kind": "arxiv",
    "version": 3
  }
}