Pith Number
pith:3GHDPZ7O
pith:2025:3GHDPZ7O34GCMIZ6PIFHXOEKSX
not attested
not anchored
not stored
refs pending
Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
arxiv:2506.19708 v1 · 2025-06-24 · cs.GR · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3GHDPZ7O34GCMIZ6PIFHXOEKSX}
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
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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 | 2026-07-05T11:26:37.483672Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d98e37e7eedf0c26233e7a0a7bb88a95c95c500e4f4d563e6f782e27ae833c71
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3GHDPZ7O34GCMIZ6PIFHXOEKSX \
| 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: d98e37e7eedf0c26233e7a0a7bb88a95c95c500e4f4d563e6f782e27ae833c71
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b53262da2a2250ce3af2ed94608ed35c6a0c6ff1209bd7880190a27aef8dc176",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.GR",
"submitted_at": "2025-06-24T15:15:15Z",
"title_canon_sha256": "f53d79741be17001b9b0bcfabf4b7d745bb467059b44f4f131b67d26c162cc3e"
},
"schema_version": "1.0",
"source": {
"id": "2506.19708",
"kind": "arxiv",
"version": 1
}
}