Pith Number
pith:KCB3VHBD
pith:2017:KCB3VHBD7ONF5LECYVJIDDW3ZP
not attested
not anchored
not stored
refs pending
A Lightweight Regression Method to Infer Psycholinguistic Properties for Brazilian Portuguese
arxiv:1705.07008 v1 · 2017-05-19 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KCB3VHBD7ONF5LECYVJIDDW3ZP}
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 | 2026-05-18T00:44:10.813117Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5083ba9c23fb9a5eac82c552818edbcbe1a8cabdcef8d08d5a6656045ae6375c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KCB3VHBD7ONF5LECYVJIDDW3ZP \
| 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: 5083ba9c23fb9a5eac82c552818edbcbe1a8cabdcef8d08d5a6656045ae6375c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7afea82de930a16735bafa8aabac93fd4853963f4b5a3dc29d093d774f1cc0c9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-05-19T14:17:31Z",
"title_canon_sha256": "ca0b1494bfc2e533589f46f6ccf7bcc51bf03de160a1f049f0f1d4da164385bc"
},
"schema_version": "1.0",
"source": {
"id": "1705.07008",
"kind": "arxiv",
"version": 1
}
}