Pith Number

pith:6VMGCJ4T

pith:2023:6VMGCJ4T6T2N7654RVQSEU76VZ

not attested not anchored not stored refs resolved

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Andrew Hartnett, Benjamin Wilson, Bowen Pan, Deva Ramanan, Jagjeet Singh, James Hays, Jhony Kaesemodel Pontes, John Lambert, Peter Carr, Ratnesh Kumar, Siddhesh Khandelwal, Tanmay Agarwal, William Qi

Argoverse 2 releases three large datasets to support new research in self-driving perception and forecasting.

arxiv:2301.00493 v1 · 2023-01-02 · cs.CV · cs.AI · cs.LG · cs.RO

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\pithnumber{6VMGCJ4T6T2N7654RVQSEU76VZ}

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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

We believe these datasets will support new and existing machine learning research problems in ways that existing datasets do not.

C2weakest assumption

That the provided annotations are accurate enough and the selected scenarios sufficiently representative to drive meaningful improvements in deployed self-driving systems.

C3one line summary

Argoverse 2 introduces three new datasets with annotated sensor data, massive lidar collections, and challenging motion forecasting scenarios for autonomous driving research.

References

54 extracted · 54 resolved · 2 Pith anchors

[1] SemanticKITTI: A dataset for semantic scene understanding of lidar sequences 2019

[2] Range conditioned dilated convolutions for scale invariant 3d object detection 2020

[3] Language Models are Few-Shot Learners 2005 · arXiv:2005.14165

[4] Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom 2020

[5] To the point: Efﬁcient 3d object detection in the range image with graph convolution kernels 2021

Cited by

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Receipt and verification

First computed	2026-07-05T05:29:46.939095Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f558612793f4f4dffbbc8d612253feae4b3c5643e2e6805d8dfc88a1f75d3689

Aliases

arxiv: 2301.00493 · arxiv_version: 2301.00493v1 · doi: 10.48550/arxiv.2301.00493 · pith_short_12: 6VMGCJ4T6T2N · pith_short_16: 6VMGCJ4T6T2N7654 · pith_short_8: 6VMGCJ4T

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/6VMGCJ4T6T2N7654RVQSEU76VZ \
  | 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: f558612793f4f4dffbbc8d612253feae4b3c5643e2e6805d8dfc88a1f75d3689

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d272b78f0db95ded10d197eff9463d8ca1586ed60993f83e8772f5ec62d97eee",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG",
      "cs.RO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-01-02T00:36:22Z",
    "title_canon_sha256": "5c3fdb0e957ac924d7ec1520c41f1b32a330fb198bf3f3d998c1939feeb50f17"
  },
  "schema_version": "1.0",
  "source": {
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    "kind": "arxiv",
    "version": 1
  }
}