Pith Number

pith:Z75F4ZUR

pith:2026:Z75F4ZURKII3XS7Q5PVYEEA4J6

not attested not anchored not stored refs pending

SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data

Chenhan Jiang, Patric Jensfelt, Qingwen Zhang, Xiaomeng Zhu

Models trained only on synthetic LiDAR scene flow data match or beat real supervised baselines on multiple benchmarks.

arxiv:2604.09411 v2 · 2026-04-10 · cs.CV

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\usepackage{pith}
\pithnumber{Z75F4ZURKII3XS7Q5PVYEEA4J6}

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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

Models trained exclusively on SynFlow-4k generalize across multiple real-world benchmarks in a zero-shot regime, rivaling in-domain supervised baselines on nuScenes and outperforming state-of-the-art methods on TruckScenes by 31.8%.

C2weakest assumption

The synthetic motion patterns generated by the pipeline are sufficiently representative of real-world kinematic distributions that models can learn domain-invariant priors without explicit domain adaptation.

C3one line summary

SynFlow creates a 34-times larger synthetic LiDAR scene flow dataset that lets models trained only on simulation match or beat supervised real-data baselines on multiple benchmarks.

Receipt and verification

First computed	2026-07-29T01:25:37.084031Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

cffa5e66915211bbcbf0ebeb82101c4f903d6f26d218b91bfb05326899e848d7

Aliases

arxiv: 2604.09411 · arxiv_version: 2604.09411v2 · doi: 10.48550/arxiv.2604.09411 · pith_short_12: Z75F4ZURKII3 · pith_short_16: Z75F4ZURKII3XS7Q · pith_short_8: Z75F4ZUR

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/Z75F4ZURKII3XS7Q5PVYEEA4J6 \
  | 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: cffa5e66915211bbcbf0ebeb82101c4f903d6f26d218b91bfb05326899e848d7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "410d1cbdc6d7555edb70a37b6b2e004a412f9a472255dc7008635df5475a9cac",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-10T15:25:33Z",
    "title_canon_sha256": "4fcca4be4135038bbfd733efc6b29b0f452be5467862f2fbfbaa011ae98e121b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.09411",
    "kind": "arxiv",
    "version": 2
  }
}