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Pith Number

pith:3IHYVGQ2

pith:2023:3IHYVGQ25HIUAKLO6UO3YYR7FJ
not attested not anchored not stored refs pending

S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces

Alexandros Graikos, Dimitris Samaras, Haoyu Wu

arxiv:2303.17712 v2 · 2023-03-30 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3IHYVGQ25HIUAKLO6UO3YYR7FJ}

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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 2026-07-05T06:47:19.525272Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

da0f8a9a1ae9d140296ef51dbc623f2a47ac570861c694206c0011478d2e8c3b

Aliases

arxiv: 2303.17712 · arxiv_version: 2303.17712v2 · doi: 10.48550/arxiv.2303.17712 · pith_short_12: 3IHYVGQ25HIU · pith_short_16: 3IHYVGQ25HIUAKLO · pith_short_8: 3IHYVGQ2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3IHYVGQ25HIUAKLO6UO3YYR7FJ \
  | 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: da0f8a9a1ae9d140296ef51dbc623f2a47ac570861c694206c0011478d2e8c3b
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "273631eba78200b4555789dfe061bcbfa6e41f8c58d9fe33dd1b6e69cdceca57",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-03-30T21:10:58Z",
    "title_canon_sha256": "c726793233a9cdd1b5301957224a0394e072dc927641a49e0bf8b6b328c35853"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2303.17712",
    "kind": "arxiv",
    "version": 2
  }
}