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Paper Citation Record · LEDGER

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity

As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2608.02603.

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

pith.paper-citation-record.v1
2608.02603 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T03:23:59.954744Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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: pith, observed 2026-08-04T22:21:22.351297Z

Reference resolution

65 of 65 outbound references displayed

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  • verified fuzzy0
  • unresolved65
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc350fbc-102f-44cb-a7e4-bdbca09c4502 · outbound

This paper cites HappyHorse 1.0 I2V, 2026.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity HappyHorse 1.0 I2V, 2026

Reference 1

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source=pdf_text observed=2026-08-04T03:23:52.897584Z digest=sha256:b7536ee8422b301115487fcc12b279e2fd4f8ba8b52aba27e89fcc793333615d

Observation 834e1507-6262-4142-b062-6685cece5c37 · outbound

This paper cites ACT-Bench: Towards Action Controllable World Models for Autonomous Driving.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity ACT-Bench: Towards Action Controllable World Models for Autonomous Driving

Reference 2

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source=pdf_text observed=2026-08-04T03:23:53.055763Z digest=sha256:65229cc66ffa3a884c811aca3c69dcbc29a59c9d16661626cb2e3ad4b928a78d

Observation 3e2e93c8-0c05-4ea8-81c3-942444b35723 · outbound

This paper cites Recammaster: Camera-controlled generative rendering from a single video.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Recammaster: Camera-controlled generative rendering from a single video

Reference 3

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source=pdf_text observed=2026-08-04T03:23:53.142279Z digest=sha256:ce7e4fe35856f141d73b4a7c03d04ff70484313558a055d81eb807e359e625c2

Observation 708bdb21-79c6-4aff-adf5-578ee4e4ab59 · outbound

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

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Videophy: Evaluating physical commonsense for video generation

Reference 4

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source=pdf_text observed=2026-08-04T03:23:53.264808Z digest=sha256:2b53871dee135e54462e8a338e4580ba9e791dae97f753ee0f8fd99d8379246c

Observation 8c14f1c3-cab0-45e0-b77e-7aa0ca7795d9 · outbound

This paper cites Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

Reference 5

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source=pdf_text observed=2026-08-04T03:23:53.366492Z digest=sha256:4783601318c91b662d941160bef651a6131f11c53e4f79455bebb1ac818b5592

Observation 5f09caa6-0259-47a7-84be-c1aea1254c9c · outbound

This paper cites Video generation models as world simulators.OpenAI Blog, 1(8):1, 2024.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Video generation models as world simulators.OpenAI Blog, 1(8):1, 2024

Reference 6

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source=pdf_text observed=2026-08-04T03:23:53.554984Z digest=sha256:c3c9ea64701226d482b45727d71115571352a2ade62341a95662d4b1c3a172a3

Observation 6cb62d2b-8a57-447a-8e4c-9cd25d20aa3f · outbound

This paper cites Genie: Generative interactive environments.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Genie: Generative interactive environments

Reference 7

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source=pdf_text observed=2026-08-04T03:23:53.659734Z digest=sha256:afe8541f4da428462d96b99bef8af9e21dd0135a41cb46a5edbf82819c48fd7f

Observation c4ef3ec4-71f0-4464-8d7e-dbc37dbf3e8a · outbound

This paper cites T2vworldbench: A benchmark for evaluating world knowledge in text-to-video generation.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity T2vworldbench: A benchmark for evaluating world knowledge in text-to-video generation

Reference 8

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source=pdf_text observed=2026-08-04T03:23:53.809227Z digest=sha256:7ae86cff3ab1c12e18c632deb03ab8f04af01372e70d57cc9f9a093e4495bcaf

Observation bde6dc5b-df1b-4d35-b5d0-88dd58936650 · outbound

This paper cites Fantasyworld: Geometry-consistent world modeling via unified video and 3d prediction.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Fantasyworld: Geometry-consistent world modeling via unified video and 3d prediction

Reference 9

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source=pdf_text observed=2026-08-04T03:23:53.908324Z digest=sha256:d36f0b98b0a75f99cdc1ccc425d5ec2ee27632c89e2d54d665fd9d31c35fa856

Observation 55e081e9-45d4-4c4f-a97c-87fd0ee7b629 · outbound

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

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Worldscore: A unified evaluation benchmark for world generation

Reference 10

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source=pdf_text observed=2026-08-04T03:23:54.002963Z digest=sha256:da8807c2d23923ebdd3c8b9411f1122c196eb9a2660302aad61d42615bf2531e

Observation 26afa947-5f12-42ee-8491-381ba5a7ab22 · outbound

This paper cites iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework

Reference 11

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source=pdf_text observed=2026-08-04T03:23:54.043781Z digest=sha256:9b49f8133776574ae2dc29bfcc3b39d5ef387e37ffd627a7c43879fd972723cf

Observation 36203dda-9d10-44f4-98e5-4e629b6bab41 · outbound

This paper cites Veo 3 technical report.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Veo 3 technical report

Reference 12

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source=pdf_text observed=2026-08-04T03:23:54.136413Z digest=sha256:7897eee21ea8ba86f52fd3340c183ebda4892e13fa6e08dd0a6cf01fa2fb1725

Observation 155238d9-78fa-4001-85bd-e6395744eacc · outbound

This paper cites Voyager: Long-range and world-consistent video diffusion for explorable 3d scene generation.ACM TOG, 44(6):1–15, 2025.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Voyager: Long-range and world-consistent video diffusion for explorable 3d scene generation.ACM TOG, 44(6):1–15, 2025

Reference 13

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source=pdf_text observed=2026-08-04T03:23:54.200536Z digest=sha256:1d1ead6728ad35915ca691f5569b3065fb67b2a5d4d149fb548bcdcdf0a007bf

Observation 6953f573-6ba1-4f36-8eac-a18e72777e2b · outbound

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

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Vbench: Comprehensive benchmark suite for video generative models

Reference 14

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source=pdf_text observed=2026-08-04T03:23:54.321697Z digest=sha256:137a2d02c1fd54180c27fa56992b344d1aa31d6566c1c05fc3a337a6dab14314

Observation 0b09aa0a-bbf0-4b1b-998b-85b7f9c06083 · outbound

This paper cites Vbench++: Comprehensive and versatile benchmark suite for video generative models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Vbench++: Comprehensive and versatile benchmark suite for video generative models

Reference 15

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source=pdf_text observed=2026-08-04T03:23:54.413593Z digest=sha256:c9596f40455c4592c736aabcfeab380102bdc8c9f3219e9c66e5119a86e1a831

Observation 9a7c5d10-e25e-4238-b08e-51576a877759 · outbound

This paper cites RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation

Reference 16

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source=pdf_text observed=2026-08-04T03:23:54.436359Z digest=sha256:1b101d9af1a01e928368a70c3455754e8aba2214d530b4b1f0ee40803d2a8c33

Observation aa480f45-84b8-425d-bda6-10257f50389d · outbound

This paper cites Kling AI.https://klingai.com, 2025.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Kling AI.https://klingai.com, 2025

Reference 17

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source=pdf_text observed=2026-08-04T03:23:54.525159Z digest=sha256:236c00e2b8df534c4ad619f746a489b95feb51bc2bd3749871b4c54efc816314

Observation d9837621-73c6-4c7a-85bd-5a4c47af0911 · outbound

This paper cites Worldmodelbench: Judging video generation models as world models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Worldmodelbench: Judging video generation models as world models

Reference 18

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source=pdf_text observed=2026-08-04T03:23:54.544745Z digest=sha256:23554b14b518cb17cc1b5708e5e5f8f32da1ea5b88e48a407398c3dca0906fbf

Observation 84cd00b4-cad9-4f37-8dfa-8ac15315fea4 · outbound

This paper cites RoboTrustBench: Benchmarking the Trustworthiness of Video World Models for Robotic Manipulation.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity RoboTrustBench: Benchmarking the Trustworthiness of Video World Models for Robotic Manipulation

Reference 19

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source=pdf_text observed=2026-08-04T03:23:54.604737Z digest=sha256:527a219b5e6912efa3cd20d5044850edf3005f07431b692c864c07fc375d72a1

Observation 6a63ba1a-7135-4ce7-ae6f-715082e17889 · outbound

This paper cites Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition

Reference 20

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source=pdf_text observed=2026-08-04T03:23:54.717778Z digest=sha256:311605539715a646a378f87429b3c4218c21283ced911f152910a655798cf6b9

Observation 1f5badaa-1860-45f6-a06a-27bd2022f11d · outbound

This paper cites WorldEval: World Model as Real-World Robot Policies Evaluator.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity WorldEval: World Model as Real-World Robot Policies Evaluator

Reference 21

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source=pdf_text observed=2026-08-04T03:23:54.844572Z digest=sha256:d5be49b6d35f40416de7c99e1399742d0236c62839c7a598c6185099ca977375

Observation a699f3d6-0e2a-409a-b213-813c4e664a10 · outbound

This paper cites Worldlens: Full-spectrum evaluations of driving world models in real world.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Worldlens: Full-spectrum evaluations of driving world models in real world

Reference 22

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source=pdf_text observed=2026-08-04T03:23:55.013453Z digest=sha256:00aa44f6f6ada912dac0f59283660f1504e1ee35dd6114c0b69ac6832502c257

Observation 89293d7b-b683-4f98-aa1f-ab0bfeb491f1 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Depth Anything 3: Recovering the Visual Space from Any Views

Reference 23

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source=pdf_text observed=2026-08-04T03:23:55.144634Z digest=sha256:397597deb0543a399a798f568d58245ed1e02434f96812a45fbfb56b00af82dc

Observation 17c98124-2781-4e15-b0a5-fd949c6f94bf · outbound

This paper cites PhyGround: Benchmarking Physical Reasoning in Generative World Models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity PhyGround: Benchmarking Physical Reasoning in Generative World Models

Reference 24

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source=pdf_text observed=2026-08-04T03:23:55.304755Z digest=sha256:902acffa15682fbb1595060abd7a2ea4ee7e36614811037614a23fad173285a2

Observation 0aa38360-c266-4fdb-a0bb-2348c9f14345 · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 25

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source=pdf_text observed=2026-08-04T03:23:55.437990Z digest=sha256:6583317738cbc0098438ad53229364182f88cab694b4059b60f01d6d8fd093bf

Observation e1f6c2ac-41df-4223-b0b5-bc51f14d2841 · outbound

This paper cites Rise-video: Can video generators decode implicit world rules?arXiv preprint arXiv:2602.05986, 2026.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Rise-video: Can video generators decode implicit world rules?arXiv preprint arXiv:2602.05986, 2026

Reference 26

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source=pdf_text observed=2026-08-04T03:23:55.541717Z digest=sha256:2e16aa63b8c436760552379d4e1f30e75c6a2d65df615cbcebdea8a9b66e86b0

Observation 501a22ee-80bc-46e4-8452-b4e678ea4bad · outbound

This paper cites Evalcrafter: Benchmarking and evaluating large video generation models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Evalcrafter: Benchmarking and evaluating large video generation models

Reference 27

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source=pdf_text observed=2026-08-04T03:23:55.725519Z digest=sha256:d68ad38734b5b2b40a875e0b098b2d0339fe6c8fec57f53d837fd61e59ced9bf

Observation 97fbd628-994c-43c5-89bc-e81d99b47a53 · outbound

This paper cites Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video generation.NeurIPS, 36:62352–62387, 2023.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video generation.NeurIPS, 36:62352–62387, 2023

Reference 28

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source=pdf_text observed=2026-08-04T03:23:55.874746Z digest=sha256:4c533f4e929c95d99dbd5756042c5988e187ba511a168c51164b3a2b1b796adf

Observation a6bb979c-cc10-458d-8091-abfef7483c15 · outbound

This paper cites KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding

Reference 29

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source=pdf_text observed=2026-08-04T03:23:56.001153Z digest=sha256:fef8fdeeffe95170ea7ab4c97c0ee43f3d5122ee93833eb6346e65f74b863b31

Observation 62269e12-b37b-4913-9325-31d847e9cdfd · outbound

This paper cites an unresolved cited work.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-04T03:23:56.098849Z digest=sha256:d1c5e3dafaf02f97b6b35058041d9c36075fe035b08340ef8ff935e267034fc8

Observation 5c4ceb06-c337-43f6-8c07-d1698049fac5 · outbound

This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Reference 31

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source=pdf_text observed=2026-08-04T03:23:56.204745Z digest=sha256:412ee96ab600984ef5954b1a7811dadddb60a6e07a1cbb6565dc5a48446b3e12

Observation 2e30c454-aec3-474e-adc1-42f1ab2cfcaf · outbound

This paper cites Hailuo AI Video.https://hailuoai.video/, 2024.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Hailuo AI Video.https://hailuoai.video/, 2024

Reference 32

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source=pdf_text observed=2026-08-04T03:23:56.346563Z digest=sha256:330b5f91f760d38a0a57aace93b86b5e68cf366c1798a55e0d4bb1871566ab15

Observation 3443ac40-0b9e-4219-bc1e-fc4424f76bcd · outbound

This paper cites WorldSimBench: Towards Video Generation Models as World Simulators.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity WorldSimBench: Towards Video Generation Models as World Simulators

Reference 33

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source=pdf_text observed=2026-08-04T03:23:56.457883Z digest=sha256:f31969305a84454a759813bd70dae2829a2185daf5b61b630ed42dbc8fb1c66b

Observation a105cfa8-7d10-402f-bd14-e512e2e31195 · outbound

This paper cites Sam 2: Segment anything in images and videos.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Sam 2: Segment anything in images and videos

Reference 34

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source=pdf_text observed=2026-08-04T03:23:56.546756Z digest=sha256:54e98edf4aa188fc22b90e4719b3b0ca085ab234d9251b9d9c499f69ec849bd3

Observation 7e4e8707-14ef-48d4-ba87-f8b0b61e98ed · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Seedance 2.0: Advancing Video Generation for World Complexity

Reference 35

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source=pdf_text observed=2026-08-04T03:23:56.610951Z digest=sha256:2e7a4a8c8068d723bea9cc56800d5f66433e4d34a4c043e21d8aec7f598fe53c

Observation d2d90190-a523-4357-aca0-cd1c32adc5a2 · outbound

This paper cites Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models.arXiv preprint arXiv:2602.08971, 2026.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models.arXiv preprint arXiv:2602.08971, 2026

Reference 36

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source=pdf_text observed=2026-08-04T03:23:56.749616Z digest=sha256:fa2d34bd6648def9a4bf23ed09a359730a27bbaea78cc9fe4ea39adff3f406d9

Observation 213611b4-a756-4fd9-bde0-8709deade94b · outbound

This paper cites T2v-compbench: A comprehensive benchmark for compositional text-to-video generation.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity T2v-compbench: A comprehensive benchmark for compositional text-to-video generation

Reference 37

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source=pdf_text observed=2026-08-04T03:23:56.888410Z digest=sha256:75dcbf147c00ab69ee30509b07f40bdb329ab65bd6628cc06758ebcbdaf62d73

Observation d94b1f49-2a78-4065-af85-9112c2d5ebaa · outbound

This paper cites WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 38

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no resolver link, observed 2026-08-04T03:23:57.054749Z

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source=pdf_text observed=2026-08-04T03:23:57.054749Z digest=sha256:2cc6735615f7be6b1370146e0dab9b9a2259455bfe2ca4c576e4839022cdc771

Observation 407efb46-e10b-40c8-9859-e47d3d822277 · outbound

This paper cites INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling

Reference 39

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no resolver link, observed 2026-08-04T03:23:57.159931Z

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source=pdf_text observed=2026-08-04T03:23:57.159931Z digest=sha256:e60492c24e8ff511bbf0546c6c350da0651478463564fa8df1289947b06ac42a

Observation 494aa2c7-4e7e-4971-89c9-4034507e5c63 · outbound

This paper cites Advancing Open-source World Models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Advancing Open-source World Models

Reference 40

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no resolver link, observed 2026-08-04T03:23:57.203834Z

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source=pdf_text observed=2026-08-04T03:23:57.203834Z digest=sha256:ea64c489bbe2016262099f703aefdcdc8565bf8c08d87e000609f0822fadf8f3

Observation 79c94c9d-a991-4d00-8903-ea5070089ca5 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 41

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no resolver link, observed 2026-08-04T03:23:57.285465Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:57.285465Z digest=sha256:b81f5be4a34dd8abec68e33bf628f1ae673c6368745598623c63f9e07b9da2d2

Observation b84d364a-f436-47cc-ac07-14843db00ac3 · outbound

This paper cites Selective review of offline change point detection methods.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Selective review of offline change point detection methods

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:57.363721Z digest=sha256:d3aade3a3f2b68c8aeaa857f72c1f5376259d2ab60590bf0e5825f21bd1f1866

Observation bf686835-5515-458b-a862-19c9eab3c82c · outbound

This paper cites Worldbench: Disambiguating physics for diagnostic evaluation of world models.arXiv preprint arXiv:2601.21282, 2026.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Worldbench: Disambiguating physics for diagnostic evaluation of world models.arXiv preprint arXiv:2601.21282, 2026

Reference 43

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no resolver link, observed 2026-08-04T03:23:57.448996Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:57.448996Z digest=sha256:ffd43c05340116194026bb36b86d8a8820d8d2aedac3294641d08e6b7656a75d

Observation ef9fe901-1a35-4b04-804a-fe204609c4d7 · outbound

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

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Wan: Open and Advanced Large-Scale Video Generative Models

Reference 44

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no resolver link, observed 2026-08-04T03:23:57.536630Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:57.536630Z digest=sha256:53673b5984499015bb2e3819d048d785d5b4fc78c1074e08f9cc392b7084d0ce

Observation 845fa978-caa6-4e51-9566-b5b945cbf184 · outbound

This paper cites VGGT-$\Omega$.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity VGGT-$\Omega$

Reference 45

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no resolver link, observed 2026-08-04T03:23:57.642386Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:57.642386Z digest=sha256:1b1ce5beeaf84cb98839cdab131127c3bb905b42295819e7803673f766b40096

Observation 04725f39-5bed-4557-8558-71238e72db5d · outbound

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

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Reference 46

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no resolver link, observed 2026-08-04T03:23:57.694829Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:57.694829Z digest=sha256:dad3757237463d5f2df3fca26dc2d21649aabc211f5d8a8698044359553edaed

Observation 635a43b1-54f5-4f11-9564-319ecd948f94 · outbound

This paper cites Quantitative Video World Model Evaluation for Geometric-Consistency.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Quantitative Video World Model Evaluation for Geometric-Consistency

Reference 47

Resolution
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no resolver link, observed 2026-08-04T03:23:57.834740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:57.834740Z digest=sha256:46242ceb46787afda7eff219e3affb254b5497870d24759fd64c36748154e181

Observation 28d302a1-c012-43da-b271-1bc219f97703 · outbound

This paper cites WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors

Reference 48

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no resolver link, observed 2026-08-04T03:23:57.935357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:57.935357Z digest=sha256:89725eb865b0d78c2f64dc9313e7562baacd6fa5f4dbe4c9a73fdd6f5eb59ca6

Observation 534050ce-cdad-4b3c-9557-090d05ac1c22 · outbound

This paper cites Omni-worldbench: Towards a comprehensive interaction-centric evaluation for world models.arXiv preprint arXiv:2603.22212, 2026.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Omni-worldbench: Towards a comprehensive interaction-centric evaluation for world models.arXiv preprint arXiv:2603.22212, 2026

Reference 49

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no resolver link, observed 2026-08-04T03:23:58.024822Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:58.024822Z digest=sha256:3f69d49f8abf68e5f5c95bd2fdacb066365ffe920945bddfa71ef52537cd5f56

Observation 755f32d2-28eb-47a0-ac2f-9e04f25aa310 · outbound

This paper cites Infinite-world: Scaling interactive world models to 1000-frame horizons via pose-free hierarchical memory.arXiv preprint arXiv:2602.02393, 2026.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Infinite-world: Scaling interactive world models to 1000-frame horizons via pose-free hierarchical memory.arXiv preprint arXiv:2602.02393, 2026

Reference 50

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no resolver link, observed 2026-08-04T03:23:58.119157Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:58.119157Z digest=sha256:7d698bbe30918044f8d67cc42d7ed03440e6cd4c364ca60dcc60423fd827030f

Observation 91a48b81-46de-41f3-8974-b885ae34da57 · outbound

This paper cites WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models

Reference 51

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no resolver link, observed 2026-08-04T03:23:58.264745Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:58.264745Z digest=sha256:4e18046c4c39179355708b3dd8496e754675180ffe21479ec178d56ad182ff8a

Observation eb45a6dc-992c-4efc-b692-a9f2c2d4be3e · outbound

This paper cites WorldMark: A Unified Benchmark Suite for Interactive Video World Models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity WorldMark: A Unified Benchmark Suite for Interactive Video World Models

Reference 52

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no resolver link, observed 2026-08-04T03:23:58.412536Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:58.412536Z digest=sha256:f5e93ed4317865eadf99a3aaa2e9e529258e7dfe5b9132840a201ca270aae369

Observation d19497f7-9ad9-4ff4-adc3-06d57087e8a4 · outbound

This paper cites ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models

Reference 53

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no resolver link, observed 2026-08-04T03:23:58.506112Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:58.506112Z digest=sha256:8811c8c02dface05e5914e3faed6ee796dcd63c0b97deaea1dd7da2fded63836

Observation abfd653c-6f91-4481-99b8-304e8b76b9ab · outbound

This paper cites Learning Interactive Real-World Simulators.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Learning Interactive Real-World Simulators

Reference 54

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no resolver link, observed 2026-08-04T03:23:58.617771Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:58.617771Z digest=sha256:e4ccdddb5282094067550007365833430bdc08ea8ac44defad12a6eda96b3bc6

Observation 1aa4806f-a1b2-44c4-860f-5dbdf18a6f80 · outbound

This paper cites MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models

Reference 55

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no resolver link, observed 2026-08-04T03:23:58.704908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:58.704908Z digest=sha256:b7f1e50234c1e6f570eefbed13e63cb39f0a096394b2f7215651b7e1af3b88f5

Observation f8064a51-9eca-4c9b-b4aa-7146948ab1e6 · outbound

This paper cites Neoverse: Enhancing 4d world model with in-the-wild monocular videos.arXiv preprint arXiv:2601.00393, 2026.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Neoverse: Enhancing 4d world model with in-the-wild monocular videos.arXiv preprint arXiv:2601.00393, 2026

Reference 56

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no resolver link, observed 2026-08-04T03:23:58.863723Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:58.863723Z digest=sha256:7f9ec2348a857cd985423c5bd80d9a08d039e68b0a681805584cdc7e71d0d699

Observation e8b91b95-5b6f-4db5-9ca7-bcef1135c20f · outbound

This paper cites Mind: Benchmarking memory consistency and action control in world models.arXiv preprint arXiv:2602.08025, 2026.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Mind: Benchmarking memory consistency and action control in world models.arXiv preprint arXiv:2602.08025, 2026

Reference 57

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:58.981173Z digest=sha256:6aa7503147af246e899ebba3ca611370c285a046ef6faced6fc8bd7694bb7fee

Observation 15dbe6e7-9f2a-4f06-94cf-ebbeafb1a2e5 · outbound

This paper cites WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation

Reference 58

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no resolver link, observed 2026-08-04T03:23:59.124729Z

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source=pdf_text observed=2026-08-04T03:23:59.124729Z digest=sha256:cb0616a110377612f981eb92f694be617f23309a4828a2fb511bbd67aa30961f

Observation 228dec52-e6fa-44fb-9150-4abd0e1fefc9 · outbound

This paper cites Trajectorycrafter: Redirecting camera trajectory for monocular videos via diffusion models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Trajectorycrafter: Redirecting camera trajectory for monocular videos via diffusion models

Reference 59

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no resolver link, observed 2026-08-04T03:23:59.242826Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T03:23:59.242826Z digest=sha256:15837156b1cde33715ca4f3bbc8793f7c6e17779f626bdc29fdb77df40c5ea37

Observation aac63865-6bc6-418c-a356-dbcaedd25d3a · outbound

This paper cites EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models

Reference 60

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no resolver link, observed 2026-08-04T03:23:59.374746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:59.374746Z digest=sha256:9c49fd3e2836e76798cb4ea98f45c9fb7b581922b87dd81aba9ccc44618b9de6

Observation a2e27163-cf6f-4969-83ff-de06b00c832a · outbound

This paper cites World-in-world: World models in a closed-loop world.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity World-in-world: World models in a closed-loop world

Reference 61

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no resolver link, observed 2026-08-04T03:23:59.516523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:59.516523Z digest=sha256:5f40eff4223ac27290d8fe8fb3a5e8e239830f429b23d22a2cb618515cd231eb

Observation eb9c76e8-0e02-4c89-b504-6ead5cf81513 · outbound

This paper cites WorldOlympiad: Can Your World Model Survive a Triathlon?.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity WorldOlympiad: Can Your World Model Survive a Triathlon?

Reference 62

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no resolver link, observed 2026-08-04T03:23:59.668308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:59.668308Z digest=sha256:ddcbc9e3ec64a70e4d0120615eda41795caf4d6a780aee399540c7c424bd846a

Observation 9234cf55-dafe-42f5-94fb-2b697ec00086 · outbound

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

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 63

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no resolver link, observed 2026-08-04T03:23:59.756819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:59.756819Z digest=sha256:fb538438b05f0aa31b357f0d8112330718155b02bad8c17a6b0b50080f419d16

Observation c139a1ad-a46f-4ffe-8733-d954261e1c31 · outbound

This paper cites Drivinggen: A comprehensive benchmark for generative video world models in autonomous driving.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Drivinggen: A comprehensive benchmark for generative video world models in autonomous driving

Reference 64

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no resolver link, observed 2026-08-04T03:23:59.846328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:59.846328Z digest=sha256:43dc9262ac9e833186fb84508784d06b49be19bfb0ca1704236c5877628b63c8

Observation 0b68d81c-d9ce-4d8a-8b05-ebd38ef0cbac · outbound

This paper cites Astra: General interactive world model with autoregressive denoising.

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Astra: General interactive world model with autoregressive denoising

Reference 65

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no resolver link, observed 2026-08-04T03:23:59.954744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:59.954744Z digest=sha256:22d5ba16ea2682c40d92225a0919d24aa4dd4c03fa61a9501fc11065012496ff

Pith citing papers

No inbound Pith citation observations are available.