Pith Number

pith:HVQJEMZ2

pith:2026:HVQJEMZ23PIIRWQJ7DIKVT6EIY

not attested not anchored not stored refs pending

LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction

CM Jiang, DY Kong, F Zhu, H Zhu, XK Kuang, YJ Zhang, ZY Chen

Calibrating LiDAR intensity to reflectance and attaching it to Gaussians improves boundary consistency and reconstruction in complex lighting self-driving scenes.

arxiv:2603.12647 v3 · 2026-03-13 · cs.CV · cs.AI

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\usepackage{pith}
\pithnumber{HVQJEMZ23PIIRWQJ7DIKVT6EIY}

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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.

Claims

C1strongest claim

On Complex Lighting scenes, our method surpasses OmniRe by 1.18 dB PSNR while using fewer Gaussians and shorter training time.

C2weakest assumption

That LiDAR intensity can be reliably calibrated into a lighting-invariant reflectance channel that, when attached to each Gaussian, enforces boundary consistency with RGB without introducing new artifacts or requiring scene-specific tuning.

C3one line summary

LR-SGS adds LiDAR reflectance as a lighting-invariant channel to guide salient Gaussian placement and density control, yielding higher PSNR than prior methods on Waymo complex-lighting scenes while using fewer Gaussians.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-27T01:05:46.465608Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3d6092333adbd088da09f8d0aacfc4462a3d4cf1feba3b497c161c3885a8b646

Aliases

arxiv: 2603.12647 · arxiv_version: 2603.12647v3 · doi: 10.48550/arxiv.2603.12647 · pith_short_12: HVQJEMZ23PII · pith_short_16: HVQJEMZ23PIIRWQJ · pith_short_8: HVQJEMZ2

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/HVQJEMZ23PIIRWQJ7DIKVT6EIY \
  | 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: 3d6092333adbd088da09f8d0aacfc4462a3d4cf1feba3b497c161c3885a8b646

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "41bb3f78e1fbed1696915720e4577362830585a874e9edd0b9f2f9bb0d1c7dc5",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-03-13T04:35:00Z",
    "title_canon_sha256": "476ecf8e286989386d11945139dbb585c441ca4ca4e56bc17ef463a17b5145ea"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.12647",
    "kind": "arxiv",
    "version": 3
  }
}