Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T05:17:30.010064Z
Paper Citation Record · LEDGER
PhyGround: Benchmarking Physical Reasoning in Generative World Models
As of 2 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2605.10806.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T01:50:30.653972Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
64 of 64 outbound references displayed
- verified exact23
- verified fuzzy33
- unresolved3
- parse uncertain0
- malformed identifier1
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e711beae-e78c-45ea-acdd-00f990d9cac0 · outbound
This paper cites Qwen3-VL Technical Report.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Qwen3-VL Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:21:29.357124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation ad7fc4c9-cdd6-467a-886f-318f9fa57741 · outbound
This paper cites Impossible Videos.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Impossible Videos
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:29.118097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b5475a3e-9663-440d-8d76-0224bcdfbb6e · outbound
This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models VideoPhy: Evaluating Physical Commonsense for Video Generation
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:34:37.994076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 42134aa3-572d-4f86-9217-752a2cba9445 · outbound
This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:27.838360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation fac1361f-d08a-494d-8aed-075a253046ef · outbound
This paper cites Campbell and Julian C.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Campbell and Julian C
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.475040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 805088b8-aac6-4b94-905e-e19c61f61bce · outbound
This paper cites PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos.
PhyGround: Benchmarking Physical Reasoning in Generative World Models PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:27.757534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 837f6680-7e3a-4124-8b7c-7d5666031895 · outbound
This paper cites Nonnaïveté among amazon mechanical turk workers: Consequences and solutions for behavioral researchers.Behavior research methods, 46(1):112–130.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Nonnaïveté among amazon mechanical turk workers: Consequences and solutions for behavioral researchers.Behavior research methods, 46(1):112–130
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.471531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 04bbf226-7f1c-4a3f-be32-36f8bb923bb5 · outbound
This paper cites Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.480899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 2524dd35-b160-4e86-9027-72919e467c5a · outbound
This paper cites Veo 3.https://deepmind.google/models/veo/.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Veo 3.https://deepmind.google/models/veo/
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.439820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 603714e6-f940-4f6b-a3ab-832a175364c5 · outbound
This paper cites "PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models.
PhyGround: Benchmarking Physical Reasoning in Generative World Models "PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-27T02:05:04.304229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation e70236ce-1ae2-490c-a316-b0037ff20c03 · outbound
This paper cites Cosmos world foundation models for physical ai.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Cosmos world foundation models for physical ai
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.445334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 884c5c48-e4a7-46fc-bf9a-590b8b266281 · outbound
This paper cites T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.228199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 01a9ba73-d263-4ccc-8df7-065601161be2 · outbound
This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.
PhyGround: Benchmarking Physical Reasoning in Generative World Models LTX-2: Efficient Joint Audio-Visual Foundation Model
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.818608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 6fae5349-abaa-4d26-9e63-925f2a51af26 · outbound
This paper cites Video-bench: Human-aligned video generation benchmark.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Video-bench: Human-aligned video generation benchmark
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.431298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation a1217bf1-d38d-4464-b3eb-9972861502a0 · outbound
This paper cites Huynh-Thu, Q.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Huynh-Thu, Q
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:21:28.907937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 1ae48bb9-58da-4c9f-ad68-94609dc4b3a8 · outbound
This paper cites Videoscore: Building automatic metrics to simulate fine-grained human feedback for video generation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Videoscore: Building automatic metrics to simulate fine-grained human feedback for video generation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.422827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation ea49ae1c-a838-426c-a815-a003f06da398 · outbound
This paper cites Image quality metrics: Psnr vs.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Image quality metrics: Psnr vs
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.414017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 4b8ca6e1-6940-4119-b055-265b16f8cd07 · outbound
This paper cites Benchmarking scientific understanding and reasoning for video generation using videoscience-bench.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Benchmarking scientific understanding and reasoning for video generation using videoscience-bench
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.798775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 458345e8-37d5-4f49-9f43-de0f074214e5 · outbound
This paper cites Cosmos-eval: Towards explainable evaluation of physics and semantics in text-to-video models.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Cosmos-eval: Towards explainable evaluation of physics and semantics in text-to-video models
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.427301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation ac2e9143-d96d-4170-841b-7e3578e7c7d5 · outbound
This paper cites Vbench: Comprehensive benchmark suite for video generative models.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Vbench: Comprehensive benchmark suite for video generative models
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.449880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 89149ddf-d2ee-4045-a6a3-7d19d0807453 · outbound
This paper cites Krosnick.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Krosnick
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.453722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 1e896341-996e-4c94-8a15-38b4b0eadf65 · outbound
This paper cites WorldModelBench: Judging Video Generation Models As World Models.
PhyGround: Benchmarking Physical Reasoning in Generative World Models WorldModelBench: Judging Video Generation Models As World Models
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:21:28.258267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation efb4bf65-7fd6-4b0c-81d7-a8c036db7991 · outbound
This paper cites Improving Video Generation with Human Feedback.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Improving Video Generation with Human Feedback
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:30:03.116566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 89572dfe-b377-4713-9158-53ddd38754ba · outbound
This paper cites AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.617378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation cdf27064-5e3f-4410-beb6-6a8dfd50a003 · outbound
This paper cites Evalcrafter: Benchmarking and evaluating large video generation models.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Evalcrafter: Benchmarking and evaluating large video generation models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.382340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b432c923-e7b5-489e-8d0e-4f3b68b14468 · outbound
This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T14:40:00.221207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 9924653a-6535-4f4b-8da0-ce2497b56f79 · outbound
This paper cites Travl: A recipe for making video-language mod- els better judges of physics implausibility.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Travl: A recipe for making video-language mod- els better judges of physics implausibility
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.586302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 7931133a-73ab-4a23-b457-f6e7a32c27e1 · outbound
This paper cites Do generative video models understand physical principles? InProceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 948–958.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Do generative video models understand physical principles? InProceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 948–958
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.396219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation abd03aff-b5ff-4218-a812-ade3627a9d27 · outbound
This paper cites an unresolved cited work.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T11:41:33.324995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 4b51e551-f5f7-45a6-a2cd-55404c8e421d · outbound
This paper cites Omniweaving: Towards unified video generation with free-form composition and reasoning.https://arxiv.org/abs/2603.24458.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Omniweaving: Towards unified video generation with free-form composition and reasoning.https://arxiv.org/abs/2603.24458
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.757546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 24eedc12-6c68-4e90-a1dc-2e76b2d9e580 · outbound
This paper cites Running experiments on amazon mechanical turk.Judgment and Decision making, 5(5):411–419.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Running experiments on amazon mechanical turk.Judgment and Decision making, 5(5):411–419
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.320458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation c47d1df4-cfe3-4925-998a-a9a584b4c51f · outbound
This paper cites Learning transferable visual models from natural language supervision.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Learning transferable visual models from natural language supervision
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.370350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 52d2bf37-3b2c-4150-aae3-8fe00f3164a9 · outbound
This paper cites Reis and Charles M.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Reis and Charles M
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.328732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b4dcd527-a9ee-4efe-92da-744280dbdd2d · outbound
This paper cites Human Cognition in Machines: A Unified Perspective of World Models.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Human Cognition in Machines: A Unified Perspective of World Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:21:28.570348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation a453b392-dd78-4048-96f7-ff2938345fba · outbound
This paper cites Shadish, Thomas D.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Shadish, Thomas D
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.351301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 39fda1bd-4801-4ae8-99d8-fe8a5464b9f2 · outbound
This paper cites Vf-eval: Evaluating multimodal llms for generating feedback on aigc videos.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Vf-eval: Evaluating multimodal llms for generating feedback on aigc videos
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.337033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation fa1bf4dd-37e6-41c9-81ea-bc7a5c8936cd · outbound
This paper cites Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.553668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation f50cbe9e-451c-46dd-b4bf-025d89287f95 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Gemini: A Family of Highly Capable Multimodal Models
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:21:28.578263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 28313f88-cbbb-403d-bfea-a7e042f23e29 · outbound
This paper cites MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.398672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 1c845899-99ac-46f4-b31d-26d97d78121f · outbound
This paper cites Fvd: A new metric for video generation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Fvd: A new metric for video generation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.364802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 9923985f-d3cb-46ba-805f-dae2b5773e0c · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Wan: Open and Advanced Large-Scale Video Generative Models
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:21:28.487243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation f03c7216-4506-48bb-a9b4-1fe2e7189b63 · outbound
This paper cites LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.543375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 25d614c6-d84d-4116-858c-d4707edf8d47 · outbound
This paper cites Aigv-assessor: Benchmarking and evaluating the perceptual quality of text-to-video generation with lmm.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Aigv-assessor: Benchmarking and evaluating the perceptual quality of text-to-video generation with lmm
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.389562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 70a87992-5f73-4b2b-bd90-1636d5db86d2 · outbound
This paper cites A very big video reasoning suite.
PhyGround: Benchmarking Physical Reasoning in Generative World Models A very big video reasoning suite
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:28.563098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 01aec354-73a1-4843-abe6-8df5100cbf10 · outbound
This paper cites PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models.
PhyGround: Benchmarking Physical Reasoning in Generative World Models PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:05:38.433674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 029bc0e7-cef6-4d6c-b4ab-5c9bdad21d38 · outbound
This paper cites Visionreward: Fine-grained multi-dimensional human preference learning for image and video generation.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Visionreward: Fine-grained multi-dimensional human preference learning for image and video generation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.401111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 7536e8b1-71cb-44bb-b736-70e487934b53 · outbound
This paper cites Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T03:17:04.940243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 492143e2-cd04-4275-b062-7558d610b776 · outbound
This paper cites Zhang, P.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Zhang, P
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:21:28.811518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 47de9737-c504-4582-9d94-b904377ac17d · outbound
This paper cites Vq-insight: Teaching vlms for ai-generated video quality understanding via progressive visual reinforcement learning.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Vq-insight: Teaching vlms for ai-generated video quality understanding via progressive visual reinforcement learning
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.461840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 75c319f0-613f-4fe6-ab55-e798c2cbb578 · outbound
This paper cites Q-bench-video: Benchmark the video quality understanding of lmms.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Q-bench-video: Benchmark the video quality understanding of lmms
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.467477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 876ce071-c6a5-494f-b23c-0f48aed884a6 · outbound
This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.
PhyGround: Benchmarking Physical Reasoning in Generative World Models VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T18:42:03.548540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 4042779e-fc7a-4f2b-bbd1-0d876bf2575b · outbound
This paper cites spaghetti breaks into pieces.
PhyGround: Benchmarking Physical Reasoning in Generative World Models spaghetti breaks into pieces
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.457412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation da9a4e9a-5cd8-4148-a69d-11a69e08d042 · outbound
This paper cites an unresolved cited work.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T11:41:33.307689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation d1a8e8b0-7f7f-454d-8e8e-91f83023362a · outbound
This paper cites rotary filling machine.
PhyGround: Benchmarking Physical Reasoning in Generative World Models rotary filling machine
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.292309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b3bdd210-3ca5-40f1-a717-96d039fdb3cc · outbound
This paper cites Prompts that are only superficially associated through keywords are excluded.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Prompts that are only superficially associated through keywords are excluded
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.295500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b6a112b9-d6a4-41b5-9cbe-8952c45410cc · outbound
This paper cites The athlete throws a javelin.
PhyGround: Benchmarking Physical Reasoning in Generative World Models The athlete throws a javelin
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.314157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 086ad89c-0463-418b-a49c-2ab194d21d0f · outbound
This paper cites The presentation order of videos is randomized independently for each annotator.
PhyGround: Benchmarking Physical Reasoning in Generative World Models The presentation order of videos is randomized independently for each annotator
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.332304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 74c157d8-d976-446e-92c8-673133bc481a · outbound
This paper cites The task is described without revealing our hypotheses, and model identities are hidden from annotators.
PhyGround: Benchmarking Physical Reasoning in Generative World Models The task is described without revealing our hypotheses, and model identities are hidden from annotators
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.377798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation a296956f-5f00-4996-9df8-302c71552216 · outbound
This paper cites The module presents example videos that illustrate different levels of physical realism and explains how to apply the five-point Likert scale.
PhyGround: Benchmarking Physical Reasoning in Generative World Models The module presents example videos that illustrate different levels of physical realism and explains how to apply the five-point Likert scale
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.342583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation a925d8a5-e5f4-444a-9a27-5be0fc119fa8 · outbound
This paper cites Annotators evaluate three general dimensions, semantic alignment, physical temporal validity, and object persistence, as well as the applicable physical laws for that video.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Annotators evaluate three general dimensions, semantic alignment, physical temporal validity, and object persistence, as well as the applicable physical laws for that video
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.355422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation a2449bc4-6e59-4804-bb03-06e8485e1f4f · outbound
This paper cites std= 0 means assigning the same score to every dimension of every video and provides no discriminating information whatsoever; std<0.3 is treated as near-constant.
PhyGround: Benchmarking Physical Reasoning in Generative World Models std= 0 means assigning the same score to every dimension of every video and provides no discriminating information whatsoever; std<0.3 is treated as near-constant
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.361808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation fac7664f-e408-42e1-9f53-f27680acdd48 · outbound
This paper cites A 100% copy-paste rate means the annotator does not differentiate evaluation dimensions (e.g., gravity vs.
PhyGround: Benchmarking Physical Reasoning in Generative World Models A 100% copy-paste rate means the annotator does not differentiate evaluation dimensions (e.g., gravity vs
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:41:33.406474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 2c593aa0-ce88-4673-841a-6713409258f2 · outbound
This paper cites an unresolved cited work.
PhyGround: Benchmarking Physical Reasoning in Generative World Models Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T11:41:33.347236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 9aa514a1-9e6b-47f4-a857-4a95ae8d313d · outbound
This paper cites skip when hard.
PhyGround: Benchmarking Physical Reasoning in Generative World Models skip when hard
Reference 64
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-12T05:21:28.187296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Pith citing papers
Observation ceff8e6a-3366-4083-b35a-93810768717e · inbound
PhiZero: A World Model Built Around Physical Language cites this paper.
PhiZero: A World Model Built Around Physical Language PhyGround: Benchmarking Physical Reasoning in Generative World Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T01:50:30.653972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.