Pith Number
pith:QMKJV6XV
pith:2024:QMKJV6XV6OOXCPZPDMWLS2SEER
not attested
not anchored
not stored
refs pending
Automatic deductive coding in discourse analysis: an application of large language models in learning analytics
arxiv:2410.01240 v1 · 2024-10-02 · cs.CL · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QMKJV6XV6OOXCPZPDMWLS2SEER}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:14:45.191168Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
83149afaf5f39d713f2f1b2cb96a44246f422b4c173914418d5e2680a57b89a7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QMKJV6XV6OOXCPZPDMWLS2SEER \
| 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: 83149afaf5f39d713f2f1b2cb96a44246f422b4c173914418d5e2680a57b89a7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f44a055245b789356fa183933fc9e76ad85f7fa4ce6cf90568a0b1b559d980c1",
"cross_cats_sorted": [
"cs.HC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-10-02T05:04:06Z",
"title_canon_sha256": "3e3ccbdefb178f12746c331ffa18ff2d6c3a3a14e663e19bb91ffa14d693edee"
},
"schema_version": "1.0",
"source": {
"id": "2410.01240",
"kind": "arxiv",
"version": 1
}
}