Pith Number
pith:7XB7FQKZ
pith:2023:7XB7FQKZ2A5EVB63YKKJY37A43
not attested
not anchored
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refs pending
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
arxiv:2310.13402 v1 · 2023-10-20 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7XB7FQKZ2A5EVB63YKKJY37A43}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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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 | 2026-07-05T07:03:02.879359Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fdc3f2c159d03a4a87dbc2949c6fe0e6d2603124edfb8720c0c373c5df80e8f3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7XB7FQKZ2A5EVB63YKKJY37A43 \
| 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: fdc3f2c159d03a4a87dbc2949c6fe0e6d2603124edfb8720c0c373c5df80e8f3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ffe9005cf8339a63c5de6e20a1858209a80ba7fdbca7f1035fe25297f76b6023",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-10-20T10:20:45Z",
"title_canon_sha256": "1d03c23e167ce02217ca2c4bb3a1fdf3d751fab38340ad207706e65221a5aae9"
},
"schema_version": "1.0",
"source": {
"id": "2310.13402",
"kind": "arxiv",
"version": 1
}
}