Pith Number

pith:MFTHSW7O

pith:2025:MFTHSW7OULOOGDAD4IWMVMUJ7K

not attested not anchored not stored refs pending

Latent Diffusion Planning for Imitation Learning

Amber Xie, Chelsea Finn, Dorsa Sadigh, Oleh Rybkin

arxiv:2504.16925 v1 · 2025-04-23 · cs.RO · 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{MFTHSW7OULOOGDAD4IWMVMUJ7K}

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

Structured 4D Latent Predictive Model for Robot Planning

Latent Geometry Beyond Search: Amortizing Planning in World Models

Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations

OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation

XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations

Receipt and verification

First computed	2026-07-05T10:53:06.559017Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6166795beea2dce30c03e22ccab289fa8babd6d778f01ff66965b45ae2f105c1

Aliases

arxiv: 2504.16925 · arxiv_version: 2504.16925v1 · doi: 10.48550/arxiv.2504.16925 · pith_short_12: MFTHSW7OULOO · pith_short_16: MFTHSW7OULOOGDAD · pith_short_8: MFTHSW7O

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/MFTHSW7OULOOGDAD4IWMVMUJ7K \
  | 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: 6166795beea2dce30c03e22ccab289fa8babd6d778f01ff66965b45ae2f105c1

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "368d0194ba09195539aa31da4bb8fb5ee27647cc54029f9aa96489ef17c3d1c8",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2025-04-23T17:53:34Z",
    "title_canon_sha256": "15d9925e92a96e1c57e01e4d7a9ec87509512f17581875546b4d040d0083dc5e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2504.16925",
    "kind": "arxiv",
    "version": 1
  }
}