Pith Number

pith:OEV2HM4G

pith:2026:OEV2HM4GJR6FH7NFVPUSXE5TX6

not attested not anchored not stored refs resolved

Ego2World: Compiling Egocentric Cooking Videos into Executable Worlds for Belief-State Planning

Angela Yao, Pengzhan Sun, Qinchuan Cheng, Shijie Li, Xulei Yang, Zhantao Gong

Compiling egocentric cooking videos into executable worlds shows persistent belief memory improves planning under partial observation.

arxiv:2605.13335 v1 · 2026-05-13 · cs.AI · cs.CV

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\pithnumber{OEV2HM4GJR6FH7NFVPUSXE5TX6}

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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

Experiments show that action-overlap scores overestimate physical-state success, and that persistent belief memory improves task completion while reducing repeated visual exploration.

C2weakest assumption

The transition rules automatically derived from video annotations faithfully capture the underlying physical dynamics and object interactions of real cooking activities.

C3one line summary

Ego2World turns real egocentric cooking videos into hidden symbolic world graphs for evaluating belief-state planning and memory in embodied agents.

References

19 extracted · 19 resolved · 1 Pith anchors

[1] Michael Ahn, Anthony Brohan, Noah Brown, Y evgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Kelly Fu, Keerthana Gopalakrishnan, Karol Hausman, Alexander Her- zog, Daniel Ho, Jasmine Hsu 2023

[2] Turner, Eric Undersander, and Tsung-Y en Y ang 2025

[3] Scaling egocentric vision: The EPIC-KITCHENS dataset 2018

[4] Rescaling egocentric vision: Collection, pipeline and challenges for EPIC-KITCHENS-100 2022

[5] Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard E. L. Higgins, Sanja Fidler, David Fouhey, and Dima Damen. EPIC-KITCHENS VISOR benchmark: VIdeo seg- mentations and object relations. 2022

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T02:44:48.490212Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

712ba3b3864c7c53fda5abe92b93b3bf98238e73ffaf15e6ffcd7f4a0fea8fd2

Aliases

arxiv: 2605.13335 · arxiv_version: 2605.13335v1 · doi: 10.48550/arxiv.2605.13335 · pith_short_12: OEV2HM4GJR6F · pith_short_16: OEV2HM4GJR6FH7NF · pith_short_8: OEV2HM4G

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/OEV2HM4GJR6FH7NFVPUSXE5TX6 \
  | 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: 712ba3b3864c7c53fda5abe92b93b3bf98238e73ffaf15e6ffcd7f4a0fea8fd2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d3115a0cadc3c23007d7c5555b9a0e41bb5dddee00accc698c8d0e95df389ace",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-13T10:53:15Z",
    "title_canon_sha256": "1ff924aaedebbd4c92e6bdca9ca3c45985a89329272b7739570e8bee120a6a90"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13335",
    "kind": "arxiv",
    "version": 1
  }
}