Pith Number
pith:CZX6PWJE
pith:2018:CZX6PWJEXNXWKYCD4LPUXIL4U7
not attested
not anchored
not stored
refs pending
Inverse Uncertainty Quantification using the Modular Bayesian Approach based on Gaussian Process, Part 2: Application to TRACE
arxiv:1801.09261 v1 · 2018-01-28 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CZX6PWJEXNXWKYCD4LPUXIL4U7}
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
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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.
Receipt and verification
| First computed | 2026-05-18T00:12:43.466756Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
166fe7d924bb6f656043e2df4ba17ca7e3455d571e62512d6ac0d5a675a7bce4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CZX6PWJEXNXWKYCD4LPUXIL4U7 \
| 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: 166fe7d924bb6f656043e2df4ba17ca7e3455d571e62512d6ac0d5a675a7bce4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f8527039b117aa61198d9081bf21074690f6ff5caefc64053a83fdfe6ab0202f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2018-01-28T18:27:28Z",
"title_canon_sha256": "f59ed811bd3a93e596313e8a68387077d4205f04ca4fead018ad30231dd87806"
},
"schema_version": "1.0",
"source": {
"id": "1801.09261",
"kind": "arxiv",
"version": 1
}
}