Pith Number
pith:UXCGXLAV
pith:2024:UXCGXLAVPR4XPIKIUS37NP5BWK
not attested
not anchored
not stored
refs pending
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
arxiv:2406.14546 v3 · 2024-06-20 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UXCGXLAVPR4XPIKIUS37NP5BWK}
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 | 2026-07-05T09:53:02.212086Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a5c46bac157c7977a148a4b7f6bfa1b2b09b76e5cbf8bd8f2a5cdbd2490a6ca5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UXCGXLAVPR4XPIKIUS37NP5BWK \
| 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: a5c46bac157c7977a148a4b7f6bfa1b2b09b76e5cbf8bd8f2a5cdbd2490a6ca5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9ae0e8ee4c918494d1d4a6d4f3f4e258a183b9a726705081a35ec3fc58be1e25",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-06-20T17:55:04Z",
"title_canon_sha256": "0dc9c5c8efb18db976613becf0b6be24ff5e3a463d8718d6352f5360ce59bb27"
},
"schema_version": "1.0",
"source": {
"id": "2406.14546",
"kind": "arxiv",
"version": 3
}
}