Pith Number

pith:7Q5MI6E6

pith:2016:7Q5MI6E6XFFK7NA7SQ35HODSPD

not attested not anchored not stored refs pending

A Compositional Object-Based Approach to Learning Physical Dynamics

Antonio Torralba, Joshua B. Tenenbaum, Michael B. Chang, Tomer Ullman

arxiv:1612.00341 v2 · 2016-12-01 · cs.AI · 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{7Q5MI6E6XFFK7NA7SQ35HODSPD}

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

9 papers in Pith

Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization

Order Matters: Shuffling Sequence Generation for Video Prediction

Do generative video models understand physical principles?

Rapid training of Hamiltonian graph networks using random features

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Receipt and verification

First computed	2026-05-18T00:49:31.647687Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fc3ac4789eb94aafb41f9437d3b87278db29d90b13a3d8a06c4f152ec3025ebc

Aliases

arxiv: 1612.00341 · arxiv_version: 1612.00341v2 · doi: 10.48550/arxiv.1612.00341 · pith_short_12: 7Q5MI6E6XFFK · pith_short_16: 7Q5MI6E6XFFK7NA7 · pith_short_8: 7Q5MI6E6

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/7Q5MI6E6XFFK7NA7SQ35HODSPD \
  | 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: fc3ac4789eb94aafb41f9437d3b87278db29d90b13a3d8a06c4f152ec3025ebc

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "99e4aaa5d79ba41096cc4117b2eb94a7a8aad76c3198620314ccd91c0ba0419f",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2016-12-01T16:39:04Z",
    "title_canon_sha256": "a06fcf5b02d8e9a67c4962cfea9eaa2acce6b3206206d167e9e955aa4eb98d8e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1612.00341",
    "kind": "arxiv",
    "version": 2
  }
}