Pith Number
pith:GPKQOQRB
pith:2017:GPKQOQRBHPKCESHIYP376LI5LL
not attested
not anchored
not stored
refs pending
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
arxiv:1703.10631 v1 · 2017-03-30 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GPKQOQRBHPKCESHIYP376LI5LL}
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
✓
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 | 2026-05-18T00:47:33.124948Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33d50742213bd42248e8c3f7ff2d1d5af83451cac47daede7450a6a01909c51a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GPKQOQRBHPKCESHIYP376LI5LL \
| 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: 33d50742213bd42248e8c3f7ff2d1d5af83451cac47daede7450a6a01909c51a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f261bc09ccfb25dd42aee4b9a1129d5a084e10fd6daf443c2c6655598c77ca49",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-03-30T18:37:49Z",
"title_canon_sha256": "905b651b275ef3ff4e2642704776b8b57ea235b2bde6dd67749c0b3a70840619"
},
"schema_version": "1.0",
"source": {
"id": "1703.10631",
"kind": "arxiv",
"version": 1
}
}