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Pith Number

pith:P5DGODOS

pith:2019:P5DGODOSHPGUWDRFFKZKGV63OT
not attested not anchored not stored refs pending

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances

Adrien Gaidon, Jie Li, Rares Ambrus, Sudeep Pillai, Vitor Guizilini

arxiv:1910.01765 v3 · 2019-10-04 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P5DGODOSHPGUWDRFFKZKGV63OT}

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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 2026-07-05T00:20:20.736784Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7f46670dd23bcd4b0e252ab2a357db74fe6a163df8b92746a12f9912437750cc

Aliases

arxiv: 1910.01765 · arxiv_version: 1910.01765v3 · doi: 10.48550/arxiv.1910.01765 · pith_short_12: P5DGODOSHPGU · pith_short_16: P5DGODOSHPGUWDRF · pith_short_8: P5DGODOS
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P5DGODOSHPGUWDRFFKZKGV63OT \
  | 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: 7f46670dd23bcd4b0e252ab2a357db74fe6a163df8b92746a12f9912437750cc
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "abcc9fda56e175280b549d608870fd8ba9b40aead971895fe61c1252934bef41",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2019-10-04T00:32:20Z",
    "title_canon_sha256": "12b407e12fe90c498dbfa807b53dedb9f9b039b1b03c0b4564d2ac366593c6c6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1910.01765",
    "kind": "arxiv",
    "version": 3
  }
}