Pith Number
pith:VNQ6SOSQ
pith:2023:VNQ6SOSQB5APBZ2EWAIBCD2S2K
not attested
not anchored
not stored
refs pending
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
arxiv:2306.09344 v3 · 2023-06-15 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VNQ6SOSQB5APBZ2EWAIBCD2S2K}
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
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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 | 2026-05-27T01:05:31.824924Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ab61e93a500f40f0e744b010110f52d2a3ff5dfc4c6bd80b473bbf6b314abe96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VNQ6SOSQB5APBZ2EWAIBCD2S2K \
| 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: ab61e93a500f40f0e744b010110f52d2a3ff5dfc4c6bd80b473bbf6b314abe96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "95057f0b1ace1c566b6c3d93c60ee09f9390c426aa371af21f4a01ac43098907",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-06-15T17:59:50Z",
"title_canon_sha256": "6b15559812b768478c4ce26a4e826d7526810fff09fa9c111b7dd7c11ac991f0"
},
"schema_version": "1.0",
"source": {
"id": "2306.09344",
"kind": "arxiv",
"version": 3
}
}