Pith Number

pith:HD3ORU72

pith:2024:HD3ORU72E3X5VS52ZW7SNGUB7R

not attested not anchored not stored refs pending

Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers

Jialiang Zhao, Kaiming He, Lirui Wang, Xinlei Chen

arxiv:2409.20537 v1 · 2024-09-30 · cs.RO · cs.CV · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{HD3ORU72E3X5VS52ZW7SNGUB7R}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

8 papers in Pith

EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling

EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data

Receipt and verification

First computed	2026-07-05T09:13:44.965357Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

38f6e8d3fa26efdacbbacdbf269a81fc4a10f9380014eb98b104507386895ca5

Aliases

arxiv: 2409.20537 · arxiv_version: 2409.20537v1 · doi: 10.48550/arxiv.2409.20537 · pith_short_12: HD3ORU72E3X5 · pith_short_16: HD3ORU72E3X5VS52 · pith_short_8: HD3ORU72

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/HD3ORU72E3X5VS52ZW7SNGUB7R \
  | 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: 38f6e8d3fa26efdacbbacdbf269a81fc4a10f9380014eb98b104507386895ca5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e18395b8d3e4fdfdf729d7469214ee80a702249528789e9f7e7a60eb865f1a89",
    "cross_cats_sorted": [
      "cs.CV",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2024-09-30T17:39:41Z",
    "title_canon_sha256": "b47251ceb67e4a4762a09215d0ff6952eb57f7384624fa4f21a0f03471082436"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2409.20537",
    "kind": "arxiv",
    "version": 1
  }
}