Pith Number
pith:QSXCUGHZ
pith:2024:QSXCUGHZMGNBOEF6KNPOMOP367
not attested
not anchored
not stored
refs pending
Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report
arxiv:2410.15944 v1 · 2024-10-21 · cs.SE · cs.AI · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QSXCUGHZMGNBOEF6KNPOMOP367}
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 | 2026-07-05T09:23:26.975047Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
84ae2a18f9619a1710be535ee639fbf7ff5c6b34a9a5bbd4258af982b60db386
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QSXCUGHZMGNBOEF6KNPOMOP367 \
| 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: 84ae2a18f9619a1710be535ee639fbf7ff5c6b34a9a5bbd4258af982b60db386
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fcbd2659f8d7d3d46746d729a59f490d5b6dfe0a498943342a6716f128275018",
"cross_cats_sorted": [
"cs.AI",
"cs.IR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SE",
"submitted_at": "2024-10-21T12:21:49Z",
"title_canon_sha256": "4a6198b81c88f060a79e76fb58fe780b6014e6bc867ba3811f2b50b8c2950cb7"
},
"schema_version": "1.0",
"source": {
"id": "2410.15944",
"kind": "arxiv",
"version": 1
}
}