Pith Number
pith:7DHZMEGQ
pith:2020:7DHZMEGQOKC57O5XMBFRG44OKX
not attested
not anchored
not stored
refs pending
Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach
arxiv:2003.06186 v1 · 2020-03-13 · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7DHZMEGQOKC57O5XMBFRG44OKX}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T00:47:44.388273Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f8cf9610d07285dfbbb7604b13738e55da27b49792faf853e45b0adc2da8c397
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7DHZMEGQOKC57O5XMBFRG44OKX \
| 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: f8cf9610d07285dfbbb7604b13738e55da27b49792faf853e45b0adc2da8c397
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b93a17a7dbed630ed37046eff9b0fabdc2f69093e6585e40c654f666398ccb10",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.HC",
"submitted_at": "2020-03-13T10:19:14Z",
"title_canon_sha256": "5d88849a240920d214c5872477ca1e244cf1b7ae1f440e4121818152ef0f4128"
},
"schema_version": "1.0",
"source": {
"id": "2003.06186",
"kind": "arxiv",
"version": 1
}
}