Pith Number

pith:H5VHMWC2

pith:2024:H5VHMWC2BKOKPCOTD3P2UARVTR

not attested not anchored not stored refs pending

Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction

Hanwang Zhang, Pan Zhou, Qiuhong Shen, Shuicheng Yan, Xinchao Wang, Xuanyu Yi, Zike Wu

arxiv:2403.18795 v3 · 2024-03-27 · cs.CV · cs.AI

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{H5VHMWC2BKOKPCOTD3P2UARVTR}

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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

A Survey on 3D Gaussian Splatting

Receipt and verification

First computed	2026-07-05T08:22:55.816762Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3f6a76585a0a9ca789d31edfaa02359c5471c71bdc39f63f2e0b634a482c52f6

Aliases

arxiv: 2403.18795 · arxiv_version: 2403.18795v3 · doi: 10.48550/arxiv.2403.18795 · pith_short_12: H5VHMWC2BKOK · pith_short_16: H5VHMWC2BKOKPCOT · pith_short_8: H5VHMWC2

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/H5VHMWC2BKOKPCOTD3P2UARVTR \
  | 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: 3f6a76585a0a9ca789d31edfaa02359c5471c71bdc39f63f2e0b634a482c52f6

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f6a2287e20c8b25cbbba7bbb8783d9ee66aa1f2aa131590c9f508ffcdb8021fb",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-03-27T17:40:14Z",
    "title_canon_sha256": "714bc77df365d17a5106bb898375206d5909de53707df49c2b84dab183910a38"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2403.18795",
    "kind": "arxiv",
    "version": 3
  }
}