Pith Number
pith:G7YKEMDB
pith:2024:G7YKEMDBTV2F2H72SJVAPVGSJV
not attested
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not stored
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Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation
arxiv:2412.09311 v1 · 2024-12-12 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G7YKEMDBTV2F2H72SJVAPVGSJV}
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
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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 | 2026-07-05T09:48:22.950851Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
37f0a230619d745d1ffa926a07d4d24d76662dbf1c5e5ca76175facdaff7b1d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G7YKEMDBTV2F2H72SJVAPVGSJV \
| 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: 37f0a230619d745d1ffa926a07d4d24d76662dbf1c5e5ca76175facdaff7b1d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0dacc40e629422342071dd8fc951852af5add6ccb2dc882faee10046d64f5511",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-12T14:25:56Z",
"title_canon_sha256": "a801d391dfeda0280abf2e3e2aca564b29754fcc4281d8c5f22869af59ad0d55"
},
"schema_version": "1.0",
"source": {
"id": "2412.09311",
"kind": "arxiv",
"version": 1
}
}