Pith Number
pith:LF3VHLHE
pith:2025:LF3VHLHEKXSY44OI5NP7V4LG6T
not attested
not anchored
not stored
refs pending
Hyperbolic Deep Learning for Foundation Models: A Survey
arxiv:2507.17787 v1 · 2025-07-23 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LF3VHLHEKXSY44OI5NP7V4LG6T}
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.
Receipt and verification
| First computed | 2026-07-05T11:42:35.217826Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
597753ace455e58e71c8eb5ffaf166f4c5954e1b4919f514836238ff14b46c1e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LF3VHLHEKXSY44OI5NP7V4LG6T \
| 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: 597753ace455e58e71c8eb5ffaf166f4c5954e1b4919f514836238ff14b46c1e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed8ac7cd3bffcf36b0dc592512a1525839c07d6a40283a16c4b7386ee83e803b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-23T09:50:17Z",
"title_canon_sha256": "45d8659036677f5a0a37c5b9ce6e2f3960460ccba78b40b3f21c132fb9ebc873"
},
"schema_version": "1.0",
"source": {
"id": "2507.17787",
"kind": "arxiv",
"version": 1
}
}