Pith Number
pith:IYFKID7T
pith:2017:IYFKID7TIS6GG25MJGLU5RQLSC
not attested
not anchored
not stored
refs pending
Assessing the Performance of a Machine Learning Algorithm in Identifying Bubbles in Dust Emission
arxiv:1711.03480 v1 · 2017-11-09 · astro-ph.GA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IYFKID7TIS6GG25MJGLU5RQLSC}
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 | 2026-05-18T00:26:24.093564Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
460aa40ff344bc636bac49974ec60b90a3f3dce5c69447bceed05132bb874bc4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IYFKID7TIS6GG25MJGLU5RQLSC \
| 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: 460aa40ff344bc636bac49974ec60b90a3f3dce5c69447bceed05132bb874bc4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2d823e23c089766a2e294276c07ce88446c9e648ae9f5b605e10534f2b2bc46e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "astro-ph.GA",
"submitted_at": "2017-11-09T17:23:17Z",
"title_canon_sha256": "88e86c48a47a5afefa9dbf206ec08fd7210e57e2205e3b9a8411df34eb97ba65"
},
"schema_version": "1.0",
"source": {
"id": "1711.03480",
"kind": "arxiv",
"version": 1
}
}