Pith Number
pith:B5LLNFVR
pith:2025:B5LLNFVRTJED237ZDN7KL4WRB4
not attested
not anchored
not stored
refs pending
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
arxiv:2504.17023 v1 · 2025-04-23 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B5LLNFVRTJED237ZDN7KL4WRB4}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:53:20.714253Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f56b696b19a483d6ff91b7ea5f2d10f02463b76403127ae3b9b3e74dd65c165
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5LLNFVRTJED237ZDN7KL4WRB4 \
| 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: 0f56b696b19a483d6ff91b7ea5f2d10f02463b76403127ae3b9b3e74dd65c165
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0a25915f253fa0115aa42d700ab917ff40deafabd8c849d2836e68f3955d7f83",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2025-04-23T18:09:06Z",
"title_canon_sha256": "41f18e97147afc85ed87a592b6fe9c39426250b709ad54642e3e575761ad4041"
},
"schema_version": "1.0",
"source": {
"id": "2504.17023",
"kind": "arxiv",
"version": 1
}
}