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Pith Number

pith:GFBRI3JZ

pith:2016:GFBRI3JZNHO2OKJQROZYWYUG5O
not attested not anchored not stored refs pending

Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks

Chunhua Shen, Yuanzhouhan Cao, Zifeng Wu

arxiv:1605.02305 v3 · 2016-05-08 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GFBRI3JZNHO2OKJQROZYWYUG5O}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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 2026-05-18T00:38:13.952158Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3143146d3969dda729308bb38b6286eb827553e1b2482d9123c45efc43516007

Aliases

arxiv: 1605.02305 · arxiv_version: 1605.02305v3 · doi: 10.48550/arxiv.1605.02305 · pith_short_12: GFBRI3JZNHO2 · pith_short_16: GFBRI3JZNHO2OKJQ · pith_short_8: GFBRI3JZ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GFBRI3JZNHO2OKJQROZYWYUG5O \
  | 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: 3143146d3969dda729308bb38b6286eb827553e1b2482d9123c45efc43516007
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "023ae4c57358be2d06c4137e7822c3b8ae5318e7ec75226ed458da859ef69f15",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2016-05-08T10:38:06Z",
    "title_canon_sha256": "30f04cda97a8f21832038c456374ab951312f5f7c2e7dce22a93d97f2a6ae953"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1605.02305",
    "kind": "arxiv",
    "version": 3
  }
}