Pith Number
pith:OM4XGNDV
pith:2023:OM4XGNDVAMWWLBC53I4T2MQUDS
not attested
not anchored
not stored
refs pending
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
arxiv:2310.05986 v1 · 2023-10-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OM4XGNDVAMWWLBC53I4T2MQUDS}
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 | 2026-07-05T06:59:02.867608Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7339733475032d65845dda393d32141cac2d8d14db39b8fcbc58ffc6244ba09f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OM4XGNDVAMWWLBC53I4T2MQUDS \
| 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: 7339733475032d65845dda393d32141cac2d8d14db39b8fcbc58ffc6244ba09f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bff57f331894b83670551ae98c9d912d725df74b5ddefab938e08c16676679e6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-10-06T19:02:00Z",
"title_canon_sha256": "396db01dcb86922f78cc51dfcc579251fc7140b4a40a74360daf22c7fc58368e"
},
"schema_version": "1.0",
"source": {
"id": "2310.05986",
"kind": "arxiv",
"version": 1
}
}