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Pith Number

pith:FFCXDGE4

pith:2017:FFCXDGE4HFFKWLA272SCXVA3QB
not attested not anchored not stored refs pending

Geometric Loss Functions for Camera Pose Regression with Deep Learning

Alex Kendall, Roberto Cipolla

arxiv:1704.00390 v2 · 2017-04-02 · cs.CV

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\usepackage{pith}
\pithnumber{FFCXDGE4HFFKWLA272SCXVA3QB}

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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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-05-18T00:43:51.032025Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

294571989c394aab2c1afea42bd41b805c75d212c03455155e284c7371396d86

Aliases

arxiv: 1704.00390 · arxiv_version: 1704.00390v2 · doi: 10.48550/arxiv.1704.00390 · pith_short_12: FFCXDGE4HFFK · pith_short_16: FFCXDGE4HFFKWLA2 · pith_short_8: FFCXDGE4
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FFCXDGE4HFFKWLA272SCXVA3QB \
  | 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: 294571989c394aab2c1afea42bd41b805c75d212c03455155e284c7371396d86
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "91867ba8c5c19fe674a542d5e118693e912896e4d327f49137d83cae8457459c",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-04-02T23:58:22Z",
    "title_canon_sha256": "74c6a8ce7c45021e04a1340a6c811dddd23b9b176ec6bc616b9fb7fef0d9846e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1704.00390",
    "kind": "arxiv",
    "version": 2
  }
}