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Paper Citation Record · LEDGER

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models

As of 11 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2606.26694.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.26694 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:19:06.268547Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

85 of 85 outbound references displayed

  • verified exact39
  • verified fuzzy38
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0410f3e1-3785-4774-bddd-d53dd4ab4afc · outbound

This paper cites an unresolved cited work.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation aec64069-3010-4fe8-af93-54e2e6c0300c · outbound

This paper cites Diffusion for world modeling: Visual details matter in Atari.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Diffusion for world modeling: Visual details matter in Atari

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d369b369-d0e7-4d61-8f99-bc3e02e987e0 · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Diffusion Models Are Real-Time Game Engines

Reference 3

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verified exact
local_arxiv, observed 2026-06-30T12:04:39.341614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 478ce18c-44ef-4005-a599-1b0e4b2a7493 · outbound

This paper cites Gamegen-x: Interactive open-world game video generation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Gamegen-x: Interactive open-world game video generation

Reference 4

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.945817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:3dfbf2d363c7e480757072279586ac16efbc5e67c219cefffb435d71983356c6

Observation 1b8611cd-e4b6-44b0-9629-c4f565755edd · outbound

This paper cites Advancing Open-source World Models.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Advancing Open-source World Models

Reference 5

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verified exact
local_arxiv, observed 2026-06-30T12:04:39.249560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:005a7225fccb608ff2fa5490f82197d21db297061f0f8d7f1c0a32ed41cc8857

Observation 65974c05-2785-44f4-b185-dec692b8840d · outbound

This paper cites Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.328519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:b0acffe634b209da21a6b6c7a50c0f836a502f2b7cc022e9a9778000d3a0dd8b

Observation 00f41eb7-f545-4610-8c78-e2c61dc8aa73 · outbound

This paper cites Yume: An Interactive World Generation Model.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Yume: An Interactive World Generation Model

Reference 7

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verified exact
arxiv_id, observed 2026-06-30T12:04:39.275792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:65f8f57763231b0b9ba89111d08f44e8c9f576d0118c69f92e0e8e654bcced98

Observation 766f5bfd-9008-4940-a6ca-c595eec56c73 · outbound

This paper cites Bellemare, Yavar Naddaf, Joel Veness, and Michael Bowling.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Bellemare, Yavar Naddaf, Joel Veness, and Michael Bowling

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.947585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:bf661c76c3494466f1b16a60c07fe6c9669cc8064fa0573bbf207f41cdefea61

Observation e8a26c0b-d147-4d67-a352-6b224d87644d · outbound

This paper cites Leveraging procedural generation to benchmark reinforcement learning.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Leveraging procedural generation to benchmark reinforcement learning

Reference 9

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.949408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:b903b37a34c8632c3ef5c433097e35423de95a23912858abaecd318035ac2e50

Observation 02c0e2e5-d4a8-4aeb-abbe-8776732e7391 · outbound

This paper cites Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, and Ruslan Salakhutdinov.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, and Ruslan Salakhutdinov

Reference 10

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.953222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:d28309eeafdf5b64815c3e6c3a10d46d5e7ebc8c9ab8b8cfbd3d5954ffbe75d0

Observation dd51ab3c-5460-42eb-8c70-c6c816faae7e · outbound

This paper cites CARLA: An open urban driving simulator.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models CARLA: An open urban driving simulator

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.958808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:ff46429f4689c0a50f14332ba1f28e33b13c9b06f6d1a6852ce3599b0eb5af02

Observation 511e8e40-ed72-4d1b-8f28-b0b70d6beef3 · outbound

This paper cites Sekai: A video dataset towards world exploration.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Sekai: A video dataset towards world exploration

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.957007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:a06f3f48a85d8dea07b3e591aae96ce1f8b1d16d209c654ee54f308dfedd1265

Observation 37f653fc-f4a0-450d-a5d8-38c86baa07de · outbound

This paper cites PHYRE: A new benchmark for physical reasoning.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models PHYRE: A new benchmark for physical reasoning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.964003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:505c88174ac1773daac9f8ac73f35e471fcc9ea86610162d389c8ee37735fb47

Observation fe4cd19f-23d1-4a81-8f6d-38790b5cd984 · outbound

This paper cites Tenenbaum.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Tenenbaum

Reference 14

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.962194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:5121b4f3a95617d7b12c79d550e56854c6617d653cdd4770559db10f3dc11c06

Observation 836f1570-2bd2-4a39-9ed7-804e2825d968 · outbound

This paper cites Bear, Elias Wang, Damian Mrowca, Felix J.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Bear, Elias Wang, Damian Mrowca, Felix J

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.941663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:7e884d16f473171e8eda5de1be86577115705c41d1d7cf5d0efca7bd03ab4e91

Observation 58b3e3bb-4ab7-47cc-9abf-eb12d5455bc6 · outbound

This paper cites VBench: Comprehensive benchmark suite for video generative models.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models VBench: Comprehensive benchmark suite for video generative models

Reference 16

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.934325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:e69d9d0e2e37a2a93685f2b36716cdcf1052eec63844bb6977ace816ee8b4ffc

Observation 234c02a7-5074-4094-84a3-0573c475d410 · outbound

This paper cites VideoPhy: Evaluating physical commonsense for video generation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models VideoPhy: Evaluating physical commonsense for video generation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.924936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:717991fd8cfa326b31a901de5728655e1ab6c66247a3c18c057bfbe410c1a344

Observation b8268f2b-7a05-4d3a-8bf2-357dd2fcabad · outbound

This paper cites Towards world simulator: Crafting physical commonsense- based benchmark for video generation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Towards world simulator: Crafting physical commonsense- based benchmark for video generation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.928731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:1080adc86e4e79749eb07b7447807351cb240c17e768e7b0f9ad85defc868da5

Observation b1209630-3b8b-4b5a-81b6-d225d1bb3e4f · outbound

This paper cites Do generative video models understand physical principles?.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Do generative video models understand physical principles?

Reference 19

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verified exact
local_arxiv, observed 2026-06-30T12:04:39.244400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:50b8de26791973cc205691f344ebff67c39d68bd7a2189641959d278fd5889d5

Observation c0a0f3eb-6a33-4939-b189-fa2187d4f21e · outbound

This paper cites PhysInOne: Visual Physics Learning and Reasoning in One Suite.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models PhysInOne: Visual Physics Learning and Reasoning in One Suite

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.349507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:6f1e04f8eeb6c1818e7ffb69116e25161b7f5136828e2232e210fefcc354e191

Observation 1d48452a-e38d-4789-ab0e-bad53212d7f1 · outbound

This paper cites Learning to simulate dynamic environments with GameGAN.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Learning to simulate dynamic environments with GameGAN

Reference 21

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.930656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:2db86963466f2441adcee7187181af8ae2b46b815fc4e9832cfb9789086c1930

Observation 4c70f3e1-159c-47c8-a2ef-93fe8faa6d1d · outbound

This paper cites Playable video generation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Playable video generation

Reference 22

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.939867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:feb72200acd5558cc06fcb3c96be64baf456a8c354124113556b33562383ce1f

Observation e149a268-a618-4001-bef0-bec465e5ce82 · outbound

This paper cites Playable Environments: Video Manipulation in Space and Time.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Playable Environments: Video Manipulation in Space and Time

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:04:39.325796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:461790aa8acea84304f083c4496f907da515e905e3c53040d97b4f05b918ec19

Observation 9b128bdf-463c-477b-ae4a-885ee9bab7a3 · outbound

This paper cites Promptable game models: Text-guided game simulation via masked diffusion models.ACM Transactions on Graphics, 2024.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Promptable game models: Text-guided game simulation via masked diffusion models.ACM Transactions on Graphics, 2024

Reference 24

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.936243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:42c3f54546cade0adfa78f079f0007284dae4cba06441580f7159836928d26f6

Observation e11f2fb0-b265-4c65-a464-2af528be96d4 · outbound

This paper cites EponaV2: Driving World Model with Comprehensive Future Reasoning.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models EponaV2: Driving World Model with Comprehensive Future Reasoning

Reference 25

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verified exact
local_arxiv, observed 2026-06-30T12:04:39.278493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:98725008decdebcdc49a8bb083ea428f3571ccbfed74f3b804dc88fc1908920c

Observation efee08d1-cc2c-40c6-b3cf-eb435585bc03 · outbound

This paper cites Oasis: A universe in a transformer.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Oasis: A universe in a transformer

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.967583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:dc78af122e050de539ee1a4ea7432ca90b23a5507a1a665ce5b318d39b725873

Observation 237474d1-a366-4f11-9862-7fddb349050d · outbound

This paper cites Gamefactory: Creating new games with generative interactive videos.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Gamefactory: Creating new games with generative interactive videos

Reference 27

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.895961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:1629cb17fc6be9b47d04250d89ad5dc2793dc15ff000c17e0aae9b8da2b0b885

Observation aa980446-d354-4f3b-a3dc-a6f04c7e0a68 · outbound

This paper cites MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.286777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:ac98ff2187b5896c426cab11caf7f27d07ba838d3879f9591ef3608fab2e6062

Observation 4b829c6d-14f0-4794-b5f5-4abd1df248de · outbound

This paper cites VRAG: Learning World Models for Interactive Video Generation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models VRAG: Learning World Models for Interactive Video Generation

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.354808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:2aa005da929c7f3d02783c9523fd7df112c88977d432f2c1f8af402e069b7389

Observation 15bfb116-36de-4a84-af4b-066125e759cb · outbound

This paper cites Identity-consistent video generation under large facial-angle variations,.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Identity-consistent video generation under large facial-angle variations,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.897708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:518fcadad5b2a0b379495c66966922edf74de59d6f3e8659468a4d3e0de9d135

Observation 60992beb-393d-4dde-8a0b-8b2ae5114e2b · outbound

This paper cites arXiv preprint arXiv:2603.21299 (2026).

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models arXiv preprint arXiv:2603.21299 (2026)

Reference 31

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verified exact
arxiv_id, observed 2026-06-30T12:04:39.289489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:b7843ca51730e9d677b94d29c101a25a12fb3290a72baf6c5f345e10307ec5ce

Observation 1801af48-6d70-4ac6-95db-e513da3ce0c3 · outbound

This paper cites Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

Reference 32

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verified exact
arxiv_id, observed 2026-06-30T12:04:39.292257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:0e7934fa5cb6165013065840ea754ba1c40c688a496bf55c4ad092a2b57f7b1f

Observation 242f99f8-8318-4b77-804c-43e74c57e882 · outbound

This paper cites MineDojo: Building open-ended embodied agents with internet-scale knowledge.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models MineDojo: Building open-ended embodied agents with internet-scale knowledge

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.965834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:602a8f84bb0202a64262d5fbd5d06a7faa52a38eee4a72b1ca6c5046ef6839bf

Observation f23a59ba-c96a-440c-ba0e-4b04c1446402 · outbound

This paper cites Wildworld: A large-scale dataset for dynamic world modeling with actions and explicit state toward generative arpg.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Wildworld: A large-scale dataset for dynamic world modeling with actions and explicit state toward generative arpg

Reference 34

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verified exact
arxiv_id, observed 2026-06-30T12:04:39.311756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:2beb948aa22d1118ddcffff41513f9e189aa9504fc1dad0e33cd1bdf3117ca7e

Observation 75a40edf-6d53-4a04-8c8d-8cc9db25f8bf · outbound

This paper cites MultiWorld: Scalable Multi-Agent Multi-View Video World Models.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models MultiWorld: Scalable Multi-Agent Multi-View Video World Models

Reference 35

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local_arxiv, observed 2026-06-30T12:04:39.344272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:2fa644f1f006a464610efb9c6c0e9bc6cfc6c8d265bb70332bebde243e1c9cb5

Observation 63f2e8db-c8e4-4c18-b917-fd3e1bf5c50d · outbound

This paper cites Precise Action-to-Video Generation Through Visual Action Prompts.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Precise Action-to-Video Generation Through Visual Action Prompts

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:04:39.281373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:9ee34f1e271913bc833e7f205a7747cb1f66226eec5b6b654855d0b15c0565c6

Observation c59b91cc-6516-46f6-859b-8599c2e420cb · outbound

This paper cites CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning

Reference 37

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raw_fallback, observed 2026-07-09T14:26:20.969523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:46e3229c663147e2566b9cfd2d62189ff36699f784aac9fdaf7f6f99dcb336f2

Observation e2d6b492-c2c3-411a-ad42-4aa5aad2fd3b · outbound

This paper cites URLhttps://arxiv.org/abs/2203.11096.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models URLhttps://arxiv.org/abs/2203.11096

Reference 38

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arxiv_id, observed 2026-06-30T10:24:36.049534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:5315b9a817f55dae43a5788dcdd8562d9f47222a4ff8ef9cb942935d8f6cf2f3

Observation e83f558e-0ef0-4662-be2a-92657a08c6f8 · outbound

This paper cites ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T12:04:39.246976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:d38c15a91342f6afba308459c6efe857d1a0b130302ee8f34d5e5b1470ccd1f6

Observation 35d11d49-690e-4733-8a09-b4c0a2db572c · outbound

This paper cites Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.926810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:750733d9eb074d3b51dfdd26408b9b7a7b1506ab62472746f875b1ca3786f90a

Observation 1c75ee63-11f1-48c9-b374-c4963727740e · outbound

This paper cites I-PHYRE: Interactive physical reasoning.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models I-PHYRE: Interactive physical reasoning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.932453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:e35001f43c753f27e4f7925b4f046aad98b9e1968476064a2f15ed455db584ee

Observation e7243767-d3ac-4aa7-9dd9-f09adb45230a · outbound

This paper cites IntPhys 2019: A benchmark for visual intuitive physics understanding.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):5016– 5025, 2022.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models IntPhys 2019: A benchmark for visual intuitive physics understanding.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):5016– 5025, 2022

Reference 42

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raw_fallback, observed 2026-07-09T14:26:20.943887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:93472e54f732239889e865f18a86492ca9ac25e0bf2abedbd9cec296b59a0a68

Observation db52161b-b598-4f57-9e16-740b4fe28bce · outbound

This paper cites IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:04:39.233310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:1a788a6f27e187d8830aa03004fdcfdb54a3e213d4f0fe5e53e1054eb98ae36d

Observation fd5361db-c85a-4b70-8427-4e2c485d1979 · outbound

This paper cites CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.236002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:9f5da1fc506cec0e460fc05cb6113d9635825534c219ad2b3e1e5e692d994a17

Observation 5c352efe-66a7-4f58-aea2-d17543bb98c6 · outbound

This paper cites CoPhy: Counter- factual learning of physical dynamics.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models CoPhy: Counter- factual learning of physical dynamics

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.938119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:3817414a33acf9746a6009b2801aa5f391722558cdc14d1a2fdd4bdcf50dadf9

Observation 25939ec6-e3c4-4b9a-9db8-d64b31c733a7 · outbound

This paper cites an unresolved cited work.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-07-09T14:26:20.917819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:522e1d32b1154f5979cd404e167a4cfd1b006f8b01a13509afad535ca1513b3a

Observation c69d7bb2-363b-4e37-b7b6-52da4f57c6a3 · outbound

This paper cites Tenenbaum, and Chuang Gan.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Tenenbaum, and Chuang Gan

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.919524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:ff7a3468a7983581b66cfb2c08498731bb731fb466ab828902fd408dc11b0e66

Observation 3fa58822-8802-420f-8ce7-2b4764ead34b · outbound

This paper cites CRIPP-VQA: Counterfac- tual reasoning about implicit physical properties via video question answering.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models CRIPP-VQA: Counterfac- tual reasoning about implicit physical properties via video question answering

Reference 48

Resolution
verified exact
doi, observed 2026-06-30T10:24:36.055077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:1d9db0b1851bdde6493c59f19491962501e3f77194e9e2b0b37da7eb10e31bc4

Observation ff769be3-4525-47a9-9605-cc73dfb35a6a · outbound

This paper cites Tenenbaum, and Chuang Gan.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Tenenbaum, and Chuang Gan

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.921218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:ff93e369553db5f96a7546472c3de584ad9b433f7f2506815bb44f8ae0daa0df

Observation 1b8029b4-2516-49b7-a44f-e357bfb86ed4 · outbound

This paper cites CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.227823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:c50e2094aa477d373e5b8f496efe52bada178785681b0f3718634395925b135a

Observation c7b8fc61-44a8-44af-8a24-383d7f4e9342 · outbound

This paper cites QuantiPhy: A quantitative benchmark evaluating physical reasoning abilities of vision-language models.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models QuantiPhy: A quantitative benchmark evaluating physical reasoning abilities of vision-language models

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.230739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:4a0ae8ffc08deabbc34656cfd76da48481cef6e1f8d61b69139afea61f89db23

Observation 6f303530-57df-4530-929a-545d03c29bd5 · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.241670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:0cb69e94c4c29f2f4ed9f5c482f9cee0986da6a1f10b01c470c43ce10fc30d30

Observation dfc113b3-6d1f-4656-a199-3bb6d59aeb29 · outbound

This paper cites Worldscore: A unified evaluation benchmark for world generation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Worldscore: A unified evaluation benchmark for world generation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.916121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:b068aed1ba06cba90b1a418108c1f7eabf25040d628bfb6fcb777fde66f25767

Observation 6fa76d9d-8cc5-4bca-9579-c49043b48d9e · outbound

This paper cites What about gravity in video generation? post-training newton’s laws with verifiable rewards.arXiv preprint arXiv:2512.00425.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models What about gravity in video generation? post-training newton’s laws with verifiable rewards.arXiv preprint arXiv:2512.00425

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.272855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:dafedb1232579b5be934f3fa6ff1c60dabecf1a584b49b9624a10f4cfadb57ab

Observation c4e76bd8-2750-4723-84cc-91b9e8135254 · outbound

This paper cites Mind-v: Hierarchical world model for long-horizon robotic manipulation with rl-based physical alignment, 2026.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Mind-v: Hierarchical world model for long-horizon robotic manipulation with rl-based physical alignment, 2026

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.910526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:525ca23ac697635341c4846b0e108b8b80dd4073a8f99b2802dcce5c9d35f5dd

Observation 454d0969-5154-48d7-950b-5c3b4e4d7e2c · outbound

This paper cites RoboStereo: Dual-Tower 4D Embodied World Models for Unified Policy Optimization.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models RoboStereo: Dual-Tower 4D Embodied World Models for Unified Policy Optimization

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.283977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:4f3b10e3639b16e3c5af2ea1d676fee7dc88d494f62ad81f7b40023d1fe98222

Observation 3593e3e3-8859-4dd8-873f-e8ae4dd11b6c · outbound

This paper cites PhysGen: Rigid-body physics-grounded image-to-video generation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models PhysGen: Rigid-body physics-grounded image-to-video generation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.912488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:ffa665467e62b27454c0354236bd249f49a006e8f5f426d09abf026a61d3df89

Observation c318001f-b658-4111-bdf5-a65b56bb6385 · outbound

This paper cites URLhttps://arxiv.org/abs/2409.18964.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models URLhttps://arxiv.org/abs/2409.18964

Reference 58

Resolution
verified exact
doi, observed 2026-06-30T10:24:36.051961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:f4919637b68b10aabf84b8ec52b4fd505497426f58d3a36fe31d0ba047d91674

Observation 9c7aa922-1df6-4c05-8968-38a3949b1d7e · outbound

This paper cites Force prompting: Video generation models can learn and gen- eralize physics-based control signals.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Force prompting: Video generation models can learn and gen- eralize physics-based control signals

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.352257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:88c8fbe1ed87e9eed11d84c7e75a98cae61ac0836600a27dccd97ced7c156d60

Observation 79e1ba60-be9e-4d8f-ae20-007d0ae43ba5 · outbound

This paper cites Physctrl: Generative physics for controllable and physics-grounded video generation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Physctrl: Generative physics for controllable and physics-grounded video generation

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.330510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:c03ce28ad5287c131e843a10cf702e278f33b6af56de9b0c377ee3ecc53fbbab

Observation 1003449a-26bd-444f-9da2-2588a94138c1 · outbound

This paper cites PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.325308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:6bc3b446e243d2797029e16a8344fe3faea5629e0f5510238c396e3c717cdaf5

Observation 2c6dcc66-a5b9-4885-8c4f-bde4ecd41878 · outbound

This paper cites an unresolved cited work.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-07-09T14:26:20.914186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:a7e0fa4ed4d9bef4b76aa798e3d90a0cc10fdf9c6835b5deb8b2d9e3d13e0e5d

Observation bff9efef-71e5-43e2-ad76-21c76ad40f7b · outbound

This paper cites PhyCo: Learning Controllable Physical Priors for Generative Motion.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models PhyCo: Learning Controllable Physical Priors for Generative Motion

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.322822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:44e86b4e83f7019f0ded1d5ef6e8da15c59aa7f39a04e962033858f3a5c7f42c

Observation e18b11a0-3830-4c23-b6e8-e6079fe0ed3c · outbound

This paper cites PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:04:39.315062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:b853514ecfda40fcd3efc830f124302a408d4665fa1063d8c3b78d02b7356f27

Observation 7c1e623c-8dc4-437d-8d65-6599dbe28236 · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.317755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:e8d6b3c12cc2ee6a4f1ae51032bc52b6e7869b2afddc6e8a45753f0837891c05

Observation 20d5dbe7-5bc3-409c-8bc7-96f223928021 · outbound

This paper cites RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.320412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:99f83fa62797412a6fb9700c7e5dce0503986719ba53128883c1e30624808099

Observation e3b5de14-c2a2-422c-9a36-5c409ca5c7ea · outbound

This paper cites ProcTHOR: Large-scale embodied AI using procedural generation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models ProcTHOR: Large-scale embodied AI using procedural generation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.923133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:4341ecf94ce92505b11ebec9f92e894dea596c1fb6444f3c1fb93f639f97f325

Observation fa1988e0-8971-466b-8360-663ef4558ab2 · outbound

This paper cites Habitat: A platform for embodied AI research.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Habitat: A platform for embodied AI research

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.906620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:d2eb689f1871473cef35a4e6fd88ee043b4114329d971f94329fd5fb08360e58

Observation dd56a1cc-6bba-48a6-b470-9dad6846780f · outbound

This paper cites Zamir, Zhiyang He, Alexander Sax, Jitendra Malik, and Silvio Savarese.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Zamir, Zhiyang He, Alexander Sax, Jitendra Malik, and Silvio Savarese

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.904784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:74003987818413d98e36f444d5801c562e91b576c74d3982ecd378fe4fb961ca

Observation 06731ab5-4346-465d-be4a-2d73185fab2a · outbound

This paper cites iGibson 2.0: Object-centric simulation for robot learning of everyday household tasks.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models iGibson 2.0: Object-centric simulation for robot learning of everyday household tasks

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.951296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:f9c6cf1e56fbfaa66f42fc23b367aff8cb7445b704d026158da20b6519ff24a8

Observation 505f53dc-6158-4be5-beae-5c58894ca23a · outbound

This paper cites ThreeDWorld: A platform for interactive multi-modal physical simulation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models ThreeDWorld: A platform for interactive multi-modal physical simulation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.908584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:b46341846e82a2b91c83c3c1a68a4450ba00adca33086a7890fb2d58b3127428

Observation 7f55759b-8a21-401d-835a-d642df124a54 · outbound

This paper cites Fleet, Daniel Gnanapragasam, Florian Golemo, Charles Herrmann, et al.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Fleet, Daniel Gnanapragasam, Florian Golemo, Charles Herrmann, et al

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.899508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:78eb4adb474f05972ef725bfcc821a5c210f135cc1f272b9ec9090392e3334f1

Observation a549b138-ef59-48d0-8828-75abe8681abc · outbound

This paper cites VirtualHome: Simulating Household Activities via Programs.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models VirtualHome: Simulating Household Activities via Programs

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.333216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:ca9fbbd05dfac033eefa671c01ab267fa52abc92bfa41118cc74a99110fe15fd

Observation 99a746a1-d813-427d-8906-1105caa2fb4f · outbound

This paper cites DC-Scene: Data-Centric Learning for 3D Scene Understanding.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models DC-Scene: Data-Centric Learning for 3D Scene Understanding

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.336112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:5089525e65bab235280de4fbd6f36fd1b705ba3f65647404e68d0396cdec90ce

Observation 931b9fa0-a0a0-4f85-af32-9af3ff0148ce · outbound

This paper cites BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.338893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:ff2e1eef304083064c4683ce1d03557d46d5727bbe300121530196d3da6c6900

Observation 0f492658-7e93-4af7-9059-9d53e61860ba · outbound

This paper cites SAPIEN: A SimulAted Part-based Interactive ENvironment.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models SAPIEN: A SimulAted Part-based Interactive ENvironment

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.346880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:929a86a737a3bd397572a6a2aca6cee09dc2ae8f275e693b252383bf499bf2e1

Observation d02c8927-2f2c-4a2c-9e50-1d9f9357d209 · outbound

This paper cites RLBench: The Robot Learning Benchmark & Learning Environment.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models RLBench: The Robot Learning Benchmark & Learning Environment

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.308594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:dc291f74c3fc1c1ca5b1cb1e7bfdefdbc9a8c9ef5030194e0ad08a98525e09ba

Observation 0fa2a45e-ef58-4019-acf4-0777fc46ab3d · outbound

This paper cites ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.297704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:58bb3688e521e703175c5330a542a52ac27f8785579482edc41534d51c349866

Observation 8c5967c6-8371-4b2d-8f29-a9ab39272fb2 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.300189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:135eb62faa8d3f3a820d6c20a6fe8d56fb335c2522dce3438945faee3468dfff

Observation 1a29f8a2-8b9b-4731-97cd-6132af1932f7 · outbound

This paper cites UnrealCV: Connecting Computer Vision to Unreal Engine.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models UnrealCV: Connecting Computer Vision to Unreal Engine

Reference 80

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.294912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:6c9ebabfaa4762e45ce2069b3293bc590a4d092bf457699ed05848791be68a51

Observation 12cd813d-8692-48e4-8237-33902e2ad46d · outbound

This paper cites UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.327840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:17c8e9b14306e9875e39ab65963b339d990dcaec54d16ff1111625acc97d8bea

Observation 4a94b043-3893-4c84-a127-0b1fdf57ffcb · outbound

This paper cites Qwen3-VL technical report.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Qwen3-VL technical report

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.901187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:f40d76d96b95521a362e1dea96522a155417ccb25bc6387f94ef08833828591e

Observation 44628cfc-813c-4dd9-aafc-2e2926ae45ee · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:04:39.302777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:61859c8e836c5dafc2e7ebb2147cf8272d14b256ddca63c2b6b15cead88b65a7

Observation 8b855d8b-e726-4747-9fef-f39a67f7dd11 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T14:26:20.903028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:15538b5901f132a59174ecbbf26db7163f4aaaba60ad5639adb37052b01e5cea

Observation 8000df3a-7685-4201-945b-a422782326f3 · outbound

This paper cites sample_id.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models sample_id

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.305823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:c072d97f396ee5047a39346bdb370ae546a46431b7ef82c3a75d8ed3409b29cc

Pith citing papers

No inbound Pith citation observations are available.