Pith Number
pith:DLLMAE5R
pith:2016:DLLMAE5RVAQ2EEEHODXE7GTKOG
not attested
not anchored
not stored
refs pending
An analysis of feature relevance in the classification of astronomical transients with machine learning methods
arxiv:1601.03931 v1 · 2016-01-15 · astro-ph.IM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DLLMAE5RVAQ2EEEHODXE7GTKOG}
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 | 2026-05-18T01:19:56.998275Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ad6c013b1a821a2108770ee4f9a6a718972ec1b27f60bf2dcaeddb978aac9a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DLLMAE5RVAQ2EEEHODXE7GTKOG \
| 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: 1ad6c013b1a821a2108770ee4f9a6a718972ec1b27f60bf2dcaeddb978aac9a6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3ca68d09d5350ea672a6e100601aeac67e80e3959ea1e8e122ceaedbeafa6d0a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "astro-ph.IM",
"submitted_at": "2016-01-15T14:33:54Z",
"title_canon_sha256": "ea1d29ae580485a64f815c8535e5cada7ed8555cd1a88c54f06a833d53b9ccd9"
},
"schema_version": "1.0",
"source": {
"id": "1601.03931",
"kind": "arxiv",
"version": 1
}
}