Pith Number
pith:3JZPGHDH
pith:2024:3JZPGHDHF6JLFZFC4MDZAPLGYD
not attested
not anchored
not stored
refs pending
Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images
arxiv:2407.11162 v1 · 2024-07-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3JZPGHDHF6JLFZFC4MDZAPLGYD}
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
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claim
4
Citations
5
Replications
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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
Receipt and verification
| First computed | 2026-07-05T08:44:19.846180Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da72f31c672f92b2e4a2e307903d66c0e0362a175dc1938bc1c575fba96c5bb4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3JZPGHDHF6JLFZFC4MDZAPLGYD \
| 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: da72f31c672f92b2e4a2e307903d66c0e0362a175dc1938bc1c575fba96c5bb4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b41a3299bd5ba1a2305117f372a39fce3973bb3e89c0568a5fcf0cb2df8ef807",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-07-15T18:33:20Z",
"title_canon_sha256": "f38fdf5c9ff09790590c9cf1345b64ef46c28a29013bcc5753c54503b7266e2e"
},
"schema_version": "1.0",
"source": {
"id": "2407.11162",
"kind": "arxiv",
"version": 1
}
}