Pith Number
pith:Q6TARTXO
pith:2015:Q6TARTXOYD4HUR32RXDKKUP7SA
not attested
not anchored
not stored
refs pending
Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation
arxiv:1508.06708 v1 · 2015-08-27 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q6TARTXOYD4HUR32RXDKKUP7SA}
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
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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 | 2026-05-18T01:34:41.317842Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
87a608ceeec0f87a477a8dc6a551ff900191c3424591f3a5e72bf1a1778803cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q6TARTXOYD4HUR32RXDKKUP7SA \
| 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: 87a608ceeec0f87a477a8dc6a551ff900191c3424591f3a5e72bf1a1778803cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9cf4427cc0c9ffd3c1e5d02f5e4ec993df93e88ffa2d2a210bee98f89396eec8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-08-27T03:21:15Z",
"title_canon_sha256": "7097fa2a3172c8a91eeb265d13480b42f49532f9f251e623b62e30c604b06bdb"
},
"schema_version": "1.0",
"source": {
"id": "1508.06708",
"kind": "arxiv",
"version": 1
}
}