Pith Number
pith:YZOSTE7X
pith:2019:YZOSTE7XKS2XZX4YQFIT7RL2PV
not attested
not anchored
not stored
refs pending
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning
arxiv:1907.03241 v1 · 2019-07-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YZOSTE7XKS2XZX4YQFIT7RL2PV}
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 | 2026-05-17T23:41:16.784326Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c65d2993f754b57cdf9881513fc57a7d5b555538045db4b0251150ea079806a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YZOSTE7XKS2XZX4YQFIT7RL2PV \
| 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: c65d2993f754b57cdf9881513fc57a7d5b555538045db4b0251150ea079806a6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ec0525f9013b0f5ee171c3f824d151afb7272526b262a62ca09c6bc6af134281",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-07-07T07:52:24Z",
"title_canon_sha256": "5a3c9a20bf4654bc28b22f57d50222551c35d16644545d54260fe6b049d0eb52"
},
"schema_version": "1.0",
"source": {
"id": "1907.03241",
"kind": "arxiv",
"version": 1
}
}