Pith Number
pith:UYYNJXFF
pith:2017:UYYNJXFF3OL7PQ6NARMV5WTYND
not attested
not anchored
not stored
refs pending
Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation
arxiv:1712.08268 v5 · 2017-12-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UYYNJXFF3OL7PQ6NARMV5WTYND}
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
✓
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 | 2026-05-17T23:49:53.055991Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a630d4dca5db97f7c3cd04595eda7868eebd28ed29901a5c53ca9dfac9e68ba3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UYYNJXFF3OL7PQ6NARMV5WTYND \
| 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: a630d4dca5db97f7c3cd04595eda7868eebd28ed29901a5c53ca9dfac9e68ba3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02d119ca3a3cc71c992efe8d354c235343fa4b6886124c098f862e57d071cedf",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-12-22T01:23:22Z",
"title_canon_sha256": "e4ed5ef552dc45f2d75360e7274bb93eeff33010c991a716173a238333ca9ff9"
},
"schema_version": "1.0",
"source": {
"id": "1712.08268",
"kind": "arxiv",
"version": 5
}
}