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Paper Citation Record · LEDGER

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning

As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 3 inbound Pith citation observations for arXiv:2506.04363.

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

pith.paper-citation-record.v1
2506.04363 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:50:50.991602Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:10:25.820442Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T07:14:45.263247Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1093a13-14dc-4e90-a55f-e40ed84e81e3 · outbound

This paper cites Can large language models be good path planners? a benchmark and investigation on spatial-temporal reasoning.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Can large language models be good path planners? a benchmark and investigation on spatial-temporal reasoning

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6c455e2b-baef-494c-a9a0-f93761fe3444 · outbound

This paper cites World Models.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning World Models

Reference 6

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source=pdf_text observed=2026-08-07T10:50:50.889983Z digest=sha256:521c62f08e0b4c378944afcea660c520c59a6091fd5dc56e56f6f840d8eaf35b

Observation 67da52d8-2992-4002-b87d-06f044b9d9ec · outbound

This paper cites Mmworld: Towards multi-discipline multi-faceted world model evaluation in videos.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Mmworld: Towards multi-discipline multi-faceted world model evaluation in videos

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:50:50.906200Z digest=sha256:370b3f6f3b663ff24ce4a11166a11e4f69306867700ebcf2aaedc039607f4e2a

Observation f3894120-033d-4034-9cc0-51a8c18693e3 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning GAIA-1: A Generative World Model for Autonomous Driving

Reference 9

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source=pdf_text observed=2026-08-07T10:50:50.910588Z digest=sha256:98685b92c00704499c0bfc56259bca970ecd18ace2c75ba5151b59a17af742cd

Observation 920d9e8f-6101-4003-a0d1-3bb318ee9a70 · outbound

This paper cites Text2world: Benchmarking large language models for symbolic world model generation.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Text2world: Benchmarking large language models for symbolic world model generation

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:50:50.915374Z digest=sha256:6d40a5e157db4753634e290943dbfc6ad5dd4c5900df03eab3e31bde74ff569b

Observation ec371c4f-3e6f-46de-9a56-ac530f040d3a · outbound

This paper cites WorldModelBench: Judging Video Generation Models As World Models.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning WorldModelBench: Judging Video Generation Models As World Models

Reference 12

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source=pdf_text observed=2026-08-07T10:50:50.927174Z digest=sha256:35f0107161d2eee29d5377ce94b294bc7e16ca746c9ed30eaca5db2f8030dd13

Observation 64678be4-6b19-47de-bb9f-82136a6ff023 · outbound

This paper cites A language-first approach for procedure planning.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning A language-first approach for procedure planning

Reference 13

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raw_fallback, observed 2026-08-07T10:50:51.507907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:50:50.933024Z digest=sha256:62a69b3e6a006a40d9afd3387d41fa25c699a8f6f31d5909eac86b7c0fb2279d

Observation e4b8146e-b939-4c3e-8b29-035290d87cb8 · outbound

This paper cites doi: 10.18653/v1/2023.findings-acl.122.https://aclanthology.org/2023.findings-acl.122/.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning doi: 10.18653/v1/2023.findings-acl.122.https://aclanthology.org/2023.findings-acl.122/

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:50:50.938944Z digest=sha256:1227808d7050e0095faed3b4c220e0b1d6cc6475fd1a21859515f819c70c8710

Observation 95e7e55d-1297-4f69-be1c-775a2973b5ea · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Cosmos World Foundation Model Platform for Physical AI

Reference 15

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source=pdf_text observed=2026-08-07T10:50:50.945500Z digest=sha256:c9f6b533086f8acece74b481c78c93898c9b25c4f3b1e9eb94019c2e84d75e36

Observation a2377e78-6e78-4179-9c76-f56a1fda4c91 · outbound

This paper cites Open-Event Procedure Planning in Instructional Videos.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Open-Event Procedure Planning in Instructional Videos

Reference 17

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source=pdf_text observed=2026-08-07T10:50:50.958248Z digest=sha256:4c08cf197d578de7e3278ab53423f3b4a93b9f6643455f6ec5445a95545154ea

Observation 4846207e-1979-4ff3-a9a3-dd837ae64047 · outbound

This paper cites VideoCLIP: Contrastive pre-training for zero-shot video-text understanding.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning VideoCLIP: Contrastive pre-training for zero-shot video-text understanding

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:50:50.964922Z digest=sha256:59f36a9aeed80dabdd0e0ca487c1216bfdcde53272035f3aabe335fe090b7108

Observation c0854a9d-ea2b-4beb-b81f-46ebb9f7aa8e · outbound

This paper cites Qwen2 technical report.CoRR, 2024a.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Qwen2 technical report.CoRR, 2024a

Reference 19

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source=pdf_text observed=2026-08-07T10:50:50.971071Z digest=sha256:d7a59d29b677d02c2679ef7776fa3ac127c08ecb05f6fc2b063df2c22789b065

Observation 361e5d81-6982-4e1d-a04c-9fb461a55486 · outbound

This paper cites Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Reference 20

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source=pdf_text observed=2026-08-07T10:50:50.979205Z digest=sha256:b81a0fc73b646f5a4e494a3cc164695d439dcc728f8bb68f2e9587dd8d7f319a

Observation 95d95180-ed36-4d75-a26c-4422dd9d3df5 · outbound

This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Reference 21

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source=pdf_text observed=2026-08-07T10:50:50.985603Z digest=sha256:5c64b32589257f6611455b4c7766d0cd05316e66bece7c06f5e84f33e20c79cf

Observation 8bad35b9-fd33-4036-84b1-e37d2697bc97 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 22

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source=pdf_text observed=2026-08-07T10:50:50.991602Z digest=sha256:f2e1228fc72edf3641d49c645d3d8c22587040c2e3af40e00b36cf0d771d2fcd

Observation b930691e-6be2-417f-9346-51fcfe9a5132 · outbound

This paper cites Event-guided procedure planning from instructional videos with text supervision.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Event-guided procedure planning from instructional videos with text supervision

Reference 2017

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:50:50.950793Z digest=sha256:2b73332a164b38ea3fb0631a11c0b07cb982b1c906971ec0972ec9f97d83ede0

Observation 9dea3429-0af2-4d8b-a539-031d1d6cc4dc · outbound

This paper cites Mastering Diverse Domains through World Models.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Mastering Diverse Domains through World Models

Reference 2019

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source=pdf_text observed=2026-08-07T10:50:50.900154Z digest=sha256:8f6e6c4f83153f72573ec4a3f9565a9c6228a70565c9c0384081b47341baa638

Observation ec58b023-4b47-4abd-b18f-4a9e995be78c · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning A path towards autonomous machine intelligence version 0.9

Reference 2021

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source=pdf_text observed=2026-08-07T10:50:50.921762Z digest=sha256:f667440148b79b37a8be3d468a709cf823a77eed7a4f1612c8c01d24a6da5480

Observation f216cc1b-7946-4fad-9739-6514804bc255 · outbound

This paper cites Worldscore: A unified evaluation benchmark for world generation.arXiv preprint arXiv:2504.00983,.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Worldscore: A unified evaluation benchmark for world generation.arXiv preprint arXiv:2504.00983,

Reference 2022

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source=pdf_text observed=2026-08-07T10:50:50.597279Z digest=sha256:6702b4e41aafec7a0638de076f88fe520d5dd70e849775b9a651c0e31e15a309

Observation 159f71b4-014f-451a-8c86-20a9eb3aab36 · outbound

This paper cites Navigation World Models.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Navigation World Models

Reference 2023

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source=pdf_text observed=2026-08-07T10:50:50.504387Z digest=sha256:87632c778666a95712cb4437d8d060235a613592351c74238478871f4bcfd2d8

Observation 70af4007-3d33-405e-ad2b-7c9f99610c30 · outbound

This paper cites Intuitive physics understanding emerges from self-supervised pretraining on natural videos.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Reference 2024

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source=pdf_text observed=2026-08-07T10:50:50.820432Z digest=sha256:dab5e73354fbcd634bf57a67c6a40077202a06b9574115622b40a1811ec96ba8

Observation 3bb57699-b973-40f7-90e2-5082aa8596bf · outbound

This paper cites Learning and Leveraging World Models in Visual Representation Learning.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Learning and Leveraging World Models in Visual Representation Learning

Reference 2025

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source=pdf_text observed=2026-08-07T10:50:50.711002Z digest=sha256:f847d6d45bac34d6e1515a70ac798f8501e585096647034ab3701379133d7cb4

Pith citing papers

Observation ec9652fb-a7c8-4761-bfeb-a6b96bc436db · inbound

Embodied AI Agents: Modeling the World cites this paper.

Embodied AI Agents: Modeling the World WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning

Reference 2011

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source=pdf_text observed=2026-08-06T22:10:25.820442Z digest=sha256:ee2788e5bfe9a17c0639e2df4a2483951571384ba9d006c147f78db93a115fcd

Observation efc8f801-e738-4f59-99da-a1840f08716f · inbound

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios cites this paper.

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning

Reference 3

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source=pdf_text observed=2026-08-03T21:14:08.504587Z digest=sha256:1b032cd819e0abcfa0d51317ca552bd3192acaac7a35b5f65a602c525717570f

Observation 3841dc63-2ec1-43de-ba12-732002babae9 · inbound

A Definition and Roadmap for World Models cites this paper.

A Definition and Roadmap for World Models WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning

Reference 280

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local_arxiv, observed 2026-07-08T07:14:45.265328Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-08T07:10:33.826140Z digest=sha256:9f7aee9382f8852e512a0777b19965078a0ff751ac0c0fc8ebaefee1f6bf39a5