Pith Number
pith:MKWBXGNR
pith:2024:MKWBXGNRBMERRE2ZB4D7PGVL74
not attested
not anchored
not stored
refs pending
Construction of Hyper-Relational Knowledge Graphs Using Pre-Trained Large Language Models
arxiv:2403.11786 v1 · 2024-03-18 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MKWBXGNRBMERRE2ZB4D7PGVL74}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:57:31.463801Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62ac1b99b10b091893590f07f79aabff04f831362079cef75fdc59ddcbc618d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MKWBXGNRBMERRE2ZB4D7PGVL74 \
| 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: 62ac1b99b10b091893590f07f79aabff04f831362079cef75fdc59ddcbc618d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9c1058ca68c9aa4b76ba48849d51f9cf9f7d3a66297ad0640532ca25e96f3b6f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-03-18T13:44:48Z",
"title_canon_sha256": "8588c37f2417f9d0bcf31b0733fb6a6e5714ec03f56eb645aaadca0322a2e532"
},
"schema_version": "1.0",
"source": {
"id": "2403.11786",
"kind": "arxiv",
"version": 1
}
}