Pith Number
pith:HQM2GGRD
pith:2025:HQM2GGRDJYFMBRDJLTTE37YSMD
not attested
not anchored
not stored
refs pending
The Muddy Waters of Modeling Empathy in Language: The Practical Impacts of Theoretical Constructs
arxiv:2501.14981 v1 · 2025-01-24 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HQM2GGRDJYFMBRDJLTTE37YSMD}
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 | 2026-07-05T10:05:21.609402Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3c19a31a234e0ac0c4695ce64dff1260e5d6aae34782313081a04145c24aded0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HQM2GGRDJYFMBRDJLTTE37YSMD \
| 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: 3c19a31a234e0ac0c4695ce64dff1260e5d6aae34782313081a04145c24aded0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "371ba7dc5704d21b994d8f1799fd12b5cfcfea46690478e532dc802b1d0ee145",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-24T23:32:44Z",
"title_canon_sha256": "d1932d321dbd1c95f6994ec0d4cc2ded09604393d0329b22ea58cbcef93043ba"
},
"schema_version": "1.0",
"source": {
"id": "2501.14981",
"kind": "arxiv",
"version": 1
}
}