Pith Number
pith:ID5ANE6J
pith:2024:ID5ANE6JIZNSV4ZGGQFR7PIRUY
not attested
not anchored
not stored
refs pending
Applications and Implications of Large Language Models in Qualitative Analysis: A New Frontier for Empirical Software Engineering
arxiv:2412.06564 v4 · 2024-12-09 · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ID5ANE6JIZNSV4ZGGQFR7PIRUY}
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
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:26:42.185867Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
40fa0693c9465b2af326340b1fbd11a613e90060f3e56ca18476466128e78491
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ID5ANE6JIZNSV4ZGGQFR7PIRUY \
| 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: 40fa0693c9465b2af326340b1fbd11a613e90060f3e56ca18476466128e78491
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "07c6b8acf294a567242b1eabeb310a343067318c51cb6b4df82a166f16b17353",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2024-12-09T15:17:36Z",
"title_canon_sha256": "6708622de97d2bdd40b65940960ff8687476153cac7b6e746f60185e9fa6e9c2"
},
"schema_version": "1.0",
"source": {
"id": "2412.06564",
"kind": "arxiv",
"version": 4
}
}