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Paper Citation Record · LEDGER

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

As of 23 August 2026, this Paper Citation Record lists 100 of 172 outbound references and 44 inbound Pith citation observations for arXiv:2501.16411.

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

pith.paper-citation-record.v1
2501.16411 v2

Coverage vector

measured 100 of 172 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:32:59.189284Z

measured 144 of 144 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:12.227048Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T18:06:25.898385Z

Reference resolution

100 of 172 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved94
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2262a3d-47e2-4439-bc02-52c12ec9e78b · outbound

This paper cites M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:32:58.231052Z digest=sha256:9625ef4ad023229ab27e90753f79a876ba47afa8d8381ffea8a28bca8b1db6bf

Observation c9c57d82-a4ed-4c87-9ef9-306701124697 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-10T13:32:58.271360Z digest=sha256:92cc2a02c3944f1ce445a70c2ed6e843a53b2a137bfcd254992013a9bc00ae83

Observation 347c38f5-0796-422b-bc37-b0579f4ece85 · outbound

This paper cites For the same ‘video description‘, you may provide multiple question-answer pairs, which should be presented in a list format.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding For the same ‘video description‘, you may provide multiple question-answer pairs, which should be presented in a list format

Reference 3

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source=pdf_text observed=2026-08-10T13:32:58.276995Z digest=sha256:624a70f88d711b3c42951501983b3c611c01fecbd0227b702a8b8c16ea56664c

Observation 5ea23dca-994b-4c80-b15e-78d6a214907c · outbound

This paper cites <|endoftext|>.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding <|endoftext|>

Reference 4

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source=pdf_text observed=2026-08-10T13:32:58.329475Z digest=sha256:186c957e81118f0701ff1d49ff9dd74d4689912feb1647435e056538011e9b49

Observation 7320a22f-8076-4fef-b6a4-d38cff41a061 · outbound

This paper cites - The progressive darkening of the images suggests that the light source is becoming weaker.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The progressive darkening of the images suggests that the light source is becoming weaker

Reference 5

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source=pdf_text observed=2026-08-10T13:32:58.408976Z digest=sha256:4f58e73f0d5aeaccdd20b00eef6e123428802c746f61975b5f474105c1785a14

Observation eea9ec6c-0f37-4a7b-8cc0-91a9a8b93705 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-10T13:32:58.266276Z digest=sha256:44e387667435766317327ee0ec47488b8ebfa1e0d024ad4f081425b2eff8201f

Observation 742d86d7-6d85-41e6-99e7-121012abe115 · outbound

This paper cites Air resistance B.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Air resistance B

Reference 9

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source=pdf_text observed=2026-08-10T13:32:58.283514Z digest=sha256:7bfe5e3701bbb2d96c28df5eee5bd5673c02264ea25d33abeff52ffa9f8c1048

Observation dba84930-5cda-47f5-aec2-2bb6091d0f99 · outbound

This paper cites Mass of the ball B.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Mass of the ball B

Reference 10

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source=pdf_text observed=2026-08-10T13:32:58.288658Z digest=sha256:c26453e1a59f617ce4698e39bafabe0023fa7c85f302862cf3b76500fe618969

Observation 2ec239e0-f209-42b9-a604-f60843807874 · outbound

This paper cites It travels farther horizontally B.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding It travels farther horizontally B

Reference 11

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source=pdf_text observed=2026-08-10T13:32:58.294542Z digest=sha256:b2cabfe819747dbbe9d64c3a3ec8cfc6f07eba7cc21f118910add4ed03f09968

Observation d835cc66-b2a0-4ef1-b9af-66c0a2123570 · outbound

This paper cites The feather falls faster B.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The feather falls faster B

Reference 12

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no resolver link, observed 2026-08-10T13:32:58.299489Z

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source=pdf_text observed=2026-08-10T13:32:58.299489Z digest=sha256:8a17f3d4b38bd579a27b2b51e52fea2126605a7cb0bb1203d530fb6098bb4819

Observation d4b3d215-d9e8-4012-bc9f-0a416518c69c · outbound

This paper cites It would fall faster B.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding It would fall faster B

Reference 13

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source=pdf_text observed=2026-08-10T13:32:58.305361Z digest=sha256:d7a4d0e7f207493fbdf150350d87a61ea6a6a5874014c48d98efde7d24c29929

Observation c80f977a-3727-42d0-b3a7-faaa12229d3d · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-10T13:32:58.310818Z

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Observation 154cc3f2-33fb-4540-a471-dab7205400bf · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-10T13:32:58.316360Z digest=sha256:73b1219d856001cce988980b180b09aa10d19129007ae27636fe5426f746dec6

Observation 92659d7e-94ca-4ab3-8d26-b3f2a690cd2c · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-10T13:32:58.322804Z digest=sha256:93771d29f87eda54da9c371b9a874f86ca04709e594835963372c7a801e85a66

Observation 76570ed1-a9b8-4fad-857f-df8741bd8cbc · outbound

This paper cites video” is replaced with “image.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding video” is replaced with “image

Reference 18

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source=pdf_text observed=2026-08-10T13:32:58.336232Z digest=sha256:3d0b3f3be5f59173eb35bb16e5bbfe7f8cc8f6e4a1d699aedfedbc3275aec96c

Observation 7c662fe4-9afc-4fb6-9669-7f160bf0fce9 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-10T13:32:58.343076Z digest=sha256:9b3f4abcd955872f98998326eea6679b5ca5bbd7b1adbe9f3b76435ed7f2379e

Observation 8ca70d74-ada7-43e0-83bf-50cd39849bc2 · outbound

This paper cites seq” refers to the sequential input of images after frame selection from videos, while.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding seq” refers to the sequential input of images after frame selection from videos, while

Reference 20

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source=pdf_text observed=2026-08-10T13:32:58.350661Z digest=sha256:197fe73a158025ef000bb98229a8fc85a13d074765a29b18633492e495e78a68

Observation 77f93dab-b565-4f5a-887b-69517b365be4 · outbound

This paper cites the inequities of societies.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding the inequities of societies

Reference 21

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source=pdf_text observed=2026-08-10T13:32:58.358021Z digest=sha256:9c35439464ea665d0b6ea26be6e57b53bc33cb7e4e7179f4d787220f402a1e61

Observation b922bbe4-f913-4593-bfdb-21ddd0c42586 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-10T13:32:58.363757Z digest=sha256:44087085df3a48f6407f3792f55c2c1cd390e4b0846f9bd7d212c44e096f624c

Observation ecb89ec3-772a-4111-8c88-4c0d9b20d0cd · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-10T13:32:58.368984Z digest=sha256:cc1b2952ae080e92ee1a311ba8a9c4a68cc4c4078098f3322f53ec2a119ce3b0

Observation 3274bb7e-5d9d-4da0-b632-bba4cfa13069 · outbound

This paper cites This means the alteration is most likely due to the light source itself, rather than any changes in the objects being illuminated.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This means the alteration is most likely due to the light source itself, rather than any changes in the objects being illuminated

Reference 24

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source=pdf_text observed=2026-08-10T13:32:58.374907Z digest=sha256:8f73983d3f1a24ddf3da5443953d4fc12f1c5ff62af462c13ac7dae278b7385e

Observation 130c99ac-a6c6-4b16-9693-c0bcd77f08e7 · outbound

This paper cites - A stronger light source (D) would result in shorter and sharper shadows.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - A stronger light source (D) would result in shorter and sharper shadows

Reference 25

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source=pdf_text observed=2026-08-10T13:32:58.380452Z digest=sha256:d495b6ea267705433ee02e73085f038dbd93b51e4237eb0c2811956ade3ae5a5

Observation 0e0cb619-f627-436e-9a62-32e03cb06355 · outbound

This paper cites - The shadows and lighting on the objects remain consistent in terms of direction and shape throughout the series of images.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The shadows and lighting on the objects remain consistent in terms of direction and shape throughout the series of images

Reference 26

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source=pdf_text observed=2026-08-10T13:32:58.385475Z digest=sha256:2f072fe7029a6a6d63d5e6b27a13a3f526c341d6da7d12648fbe1a903613c024

Observation 65aa2edc-b555-4296-b0cb-71410989ffff · outbound

This paper cites - The images progressively become darker, indicating a reduction in the intensity of the light source.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The images progressively become darker, indicating a reduction in the intensity of the light source

Reference 27

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source=pdf_text observed=2026-08-10T13:32:58.390378Z digest=sha256:154a1d8faf170e2f390f819e037bdbcb2724c40238b319da494daf18e01c41d8

Observation 49644a23-9a8e-435f-b936-a80d3cdddc12 · outbound

This paper cites This is not observed in the images.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This is not observed in the images

Reference 28

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source=pdf_text observed=2026-08-10T13:32:58.395646Z digest=sha256:4f0a2413acc27d6100116ae24ef7707c65ffb3b569b907007c62ec363983827c

Observation 157f119b-42c2-4f2e-9ef6-20330f411e4b · outbound

This paper cites This is contrary to what is observed.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This is contrary to what is observed

Reference 29

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source=pdf_text observed=2026-08-10T13:32:58.401440Z digest=sha256:ba78d54766bf107765c60235c191ae6cae8255a24ca6f91b7b09d5b901de2fc6

Observation 6c5e4862-ad15-41c2-ab97-5f394ae1868f · outbound

This paper cites Therefore, the black ball will drop into the right pit if the green floating wall and other balls are removed.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Therefore, the black ball will drop into the right pit if the green floating wall and other balls are removed

Reference 46

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Observation 36e00025-110d-4c9f-ab92-09f9c014c638 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-10T13:32:58.513561Z digest=sha256:ed5133b305b6f89fd833cadd43721d4cdfd30e621544035edb512b932d64abd3

Observation 54314a5e-faee-4487-a81a-8786395fa9e1 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-10T13:32:58.519358Z digest=sha256:981b50f4c09819eb13cbb072e160d04d708f7f32ba5ddd10a08b303aacb843bf

Observation c65afcd9-527a-4a66-88a0-352a03057cd7 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-10T13:32:58.524627Z digest=sha256:3ae286334be3397264ed7389fc8aaa6f015a4ce63f458ac5dedfb9d1964f9fbf

Observation 9527e3fb-6151-4852-8754-962c32bc2031 · outbound

This paper cites The shockwave appears to bend as it travels across the landscape, which is evidence of reflection.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The shockwave appears to bend as it travels across the landscape, which is evidence of reflection

Reference 50

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Observation 7fdb8c08-6ba8-44df-bd6a-b7afd8f67246 · outbound

This paper cites - The explosion generates a large amount of smoke and fire, followed by shockwaves propagating through the air.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The explosion generates a large amount of smoke and fire, followed by shockwaves propagating through the air

Reference 51

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source=pdf_text observed=2026-08-10T13:32:58.535322Z digest=sha256:5c59cba153eeb83a7be70115814e64c73e493da6be73310189770dceebbc3a66

Observation 3f6b9383-0090-4489-a146-3c550f1ef47c · outbound

This paper cites The images do not show any evidence of waves bending around obstacles.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The images do not show any evidence of waves bending around obstacles

Reference 52

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Observation de2b33a3-9c50-4d55-a481-efd807ab580d · outbound

This paper cites The shockwave is a type of pressure wave that travels through the air.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The shockwave is a type of pressure wave that travels through the air

Reference 53

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Observation 7c3ff513-8575-46e0-b6be-79e512dac127 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-10T13:32:58.549357Z digest=sha256:82647f3cf2f12ac7fbef10f6ebd4ac4f829c75236f36ab5f7e9f0af279559d66

Observation badde3b0-6b1d-4758-83ff-49ee66a09617 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-10T13:32:58.554089Z digest=sha256:b2ba537c60e3eebc1e8c1e2b99ea6d0fa6c8002de28046a74fe3dae0ea3d6576

Observation d51afc4f-1329-40e9-8602-31f60d798466 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-10T13:32:58.558596Z digest=sha256:22a60653e974010cf452588a66a3f828813e7fdca689a741f4e3503978b29f3d

Observation c72fada8-76c1-4184-b465-cf8762cb6f7d · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-10T13:32:58.562915Z digest=sha256:5c5adb3e49af69bc6c4d0a20ea73358a61e0c05fd2663264b2f0caf1138cdad9

Observation ba9aeb27-7f73-4950-bbdf-4cc1ea855d05 · outbound

This paper cites Choice: B.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Choice: B

Reference 58

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source=pdf_text observed=2026-08-10T13:32:58.567047Z digest=sha256:78cd4f5d84886b38e2a195fc8b629ba27f2d9eff28aa84cf0ed71bae5f09132e

Observation 4a35a5c1-edc6-4bf8-b3e1-23bd396c773f · outbound

This paper cites - The green floating wall is currently preventing the black ball from falling directly into the right pit.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The green floating wall is currently preventing the black ball from falling directly into the right pit

Reference 59

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source=pdf_text observed=2026-08-10T13:32:58.571189Z digest=sha256:4d205ff76f273a966f0590e229b2c328d83e9c92da8087de491e6ea91c0fe496

Observation 9e956cf1-4f00-4c90-8ac3-81170ed4099a · outbound

This paper cites - The black ball will fall straight down due to gravity.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The black ball will fall straight down due to gravity

Reference 60

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no resolver link, observed 2026-08-10T13:32:58.575161Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.575161Z digest=sha256:25046a7bde7f08833b4ef27265f15f78476eae52432a2fbc0692f0945a96ef6d

Observation 6cd0e9ef-e310-40cf-8fb7-4a29bf540b8e · outbound

This paper cites - The black ball is positioned directly above the right pit.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The black ball is positioned directly above the right pit

Reference 61

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no resolver link, observed 2026-08-10T13:32:58.579224Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.579224Z digest=sha256:96ee61863ffc1df6e3dbb91c396aabb8884071aa9bbf2161228bdf1003595595

Observation 64f03348-107e-423a-867a-c36a1f229a45 · outbound

This paper cites Therefore, the black ball will drop into the right pit if the green floating wall and other balls are removed.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Therefore, the black ball will drop into the right pit if the green floating wall and other balls are removed

Reference 62

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no resolver link, observed 2026-08-10T13:32:58.583437Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.583437Z digest=sha256:8b1cdfde33dfce2904426c9f36cc25641dd02aa30508991167a57da6c9ead1a0

Observation 55dae799-eb07-40d9-8e4a-2871ab24f55b · outbound

This paper cites - Option C (The camera moves upward or downward): This would result in vertical movement of the objects relative to the background, which is not observed.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - Option C (The camera moves upward or downward): This would result in vertical movement of the objects relative to the background, which is not observed

Reference 76

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no resolver link, observed 2026-08-10T13:32:58.668272Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.668272Z digest=sha256:69746bf1dc3568d7f1bfbd16210d7b0cf296e043bbe70874cf228640dc1145b6

Observation 2a60fc32-d026-440e-853e-3182a1f15a7b · outbound

This paper cites The shadows are also relatively faint and indistinct, suggesting the light source is not very strong.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The shadows are also relatively faint and indistinct, suggesting the light source is not very strong

Reference 77

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no resolver link, observed 2026-08-10T13:32:58.673462Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.673462Z digest=sha256:89127793c6537daab807a3984b6417615cbec82afe2e8f7a2147872264f1cfee

Observation 10ee14f7-2751-4886-8504-6920f3b68603 · outbound

This paper cites Stronger light source: A stronger light source would produce sharper, more defined shadows.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Stronger light source: A stronger light source would produce sharper, more defined shadows

Reference 78

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no resolver link, observed 2026-08-10T13:32:58.678987Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.678987Z digest=sha256:9309809735530294a1523500f0774c549326bfbd46526a72fb56ec8e7a39c4d4

Observation 6dc16454-049b-415e-b9a5-8a67159cc056 · outbound

This paper cites A weaker light source produces less intense light, resulting in softer, more blurred shadows.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding A weaker light source produces less intense light, resulting in softer, more blurred shadows

Reference 79

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unresolved
no resolver link, observed 2026-08-10T13:32:58.685487Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.685487Z digest=sha256:4dcd68132a5eec662da65d05514f337d6dfd598ea4f89596ebfcb7cedeb3c86f

Observation ba3ae3dc-32ef-4d00-939e-37ab80059643 · outbound

This paper cites - The shadows do not change in size, shape, or direction, indicating that the position of the light source remains constant.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The shadows do not change in size, shape, or direction, indicating that the position of the light source remains constant

Reference 80

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no resolver link, observed 2026-08-10T13:32:58.690900Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.690900Z digest=sha256:e51ba7f90395ed5ad5725cfaa36f92739e41309e0443f4e7bd5fad25c38d3a4b

Observation 9bdeece4-bf2f-4b63-99f8-5838d57ff3eb · outbound

This paper cites - If the light source were weaker, the shadows would be less defined and lighter in appearance.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - If the light source were weaker, the shadows would be less defined and lighter in appearance

Reference 81

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no resolver link, observed 2026-08-10T13:32:58.696894Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.696894Z digest=sha256:4c7418b8b73de68d4cf7a233e1b5b1010ddb186734185dac3160ee0970cf4cbd

Observation 17dedddf-0a4c-4f5e-86a9-ff43166e2720 · outbound

This paper cites The ground and objects maintain a consistent color throughout the series of images.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The ground and objects maintain a consistent color throughout the series of images

Reference 82

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no resolver link, observed 2026-08-10T13:32:58.702896Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.702896Z digest=sha256:ef0eca5fee50b837a2efdec9a681bc2c5b53547ada551cb3e66eaf0c363610dd

Observation e9853623-9aba-4ed2-89cd-81014cb08844 · outbound

This paper cites - Therefore, the correct choice is B.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - Therefore, the correct choice is B

Reference 83

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no resolver link, observed 2026-08-10T13:32:58.708442Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.708442Z digest=sha256:18bdc8b0c432ca87b0c16b43968c5369996fe22a9553730f80795296ffc98594

Observation 3c2aeaab-409c-4f00-a943-f20bf710c8da · outbound

This paper cites This creates a perspective where objects farther away appear smaller.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This creates a perspective where objects farther away appear smaller

Reference 84

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no resolver link, observed 2026-08-10T13:32:58.715204Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.715204Z digest=sha256:23d01f3fe78eece24b5f39c655c63003e91a83c8e4e7718b155f24c4d85f29a9

Observation 337da951-2145-4678-9d23-bf8d8d483f97 · outbound

This paper cites As the camera moves upward, the objects below it appear to shrink and move apart, creating the illusion of them getting farther away.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding As the camera moves upward, the objects below it appear to shrink and move apart, creating the illusion of them getting farther away

Reference 85

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no resolver link, observed 2026-08-10T13:32:58.721597Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.721597Z digest=sha256:af8c6dedcf6e99526228da03cf2dc51333297c68a229aec750eb9a01bf434f55

Observation 47a4bc43-8375-4301-a3b0-131928d06b07 · outbound

This paper cites Move parallel to the line between the pudding and the blanket: Moving parallel to this line wouldn't change the relative size of the objects.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Move parallel to the line between the pudding and the blanket: Moving parallel to this line wouldn't change the relative size of the objects

Reference 86

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no resolver link, observed 2026-08-10T13:32:58.729634Z

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source=pdf_text observed=2026-08-10T13:32:58.729634Z digest=sha256:30ad9d08aa7f8c07cd16a5346b8ba0752976ba62aaa29106dcf070b48be17739

Observation 0e656ad1-540f-4f15-bcc2-b13e8074a6cc · outbound

This paper cites - The Rubik's cube and the yellow object appear to move horizontally across the images, while the egg on the plate and the blanket remain relatively stationary.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The Rubik's cube and the yellow object appear to move horizontally across the images, while the egg on the plate and the blanket remain relatively stationary

Reference 87

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no resolver link, observed 2026-08-10T13:32:58.735125Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.735125Z digest=sha256:787223ff695916a73502aab2a79dd6ad3205556ba546b20be3d52b266b49f619

Observation 306179ef-b0e0-47d1-9196-188c24e84cb9 · outbound

This paper cites - The blanket and pillows, which are in the background, do not show significant vertical movement, indicating that the camera is not moving upward or downward.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - The blanket and pillows, which are in the background, do not show significant vertical movement, indicating that the camera is not moving upward or downward

Reference 88

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no resolver link, observed 2026-08-10T13:32:58.739925Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.739925Z digest=sha256:f9ceb37f7a5ca129adea00bc29edb410dd89b49de851fe13ebaeea313dd73374

Observation 70757bb0-ad4e-4dbe-b861-8895abf3469d · outbound

This paper cites - This horizontal movement aligns with the direction between the cube and the blanket, suggesting that the camera is moving parallel to this line.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - This horizontal movement aligns with the direction between the cube and the blanket, suggesting that the camera is moving parallel to this line

Reference 89

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no resolver link, observed 2026-08-10T13:32:58.745849Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.745849Z digest=sha256:07c45dddb02f734b695f110d0be9610b78f251cfbcefd3d3c53f1b7142eed20c

Observation 2af3a7de-96e3-409e-8bea-c7a0a3bdc5ad · outbound

This paper cites - Option C (The camera moves upward or downward): This would result in vertical movement of the objects relative to the background, which is not observed.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - Option C (The camera moves upward or downward): This would result in vertical movement of the objects relative to the background, which is not observed

Reference 90

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no resolver link, observed 2026-08-10T13:32:58.754384Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.754384Z digest=sha256:99c9ffad81a38522a6d49cc1777f3a776b80846441034888cec140279aed21c2

Observation 7c1c3910-ba36-49f3-b4c4-f38f84ce277e · outbound

This paper cites Based on these observations, the correct choice is B.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Based on these observations, the correct choice is B

Reference 106

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no resolver link, observed 2026-08-10T13:32:58.844086Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.844086Z digest=sha256:27f3a5f46b3177c7c9f2313e9aff189412efbe2964b73c12acd3023048f60ea4

Observation 0cb824b9-b96a-4b01-acdf-d2ad01d92611 · outbound

This paper cites This suggests a shift in perspective.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This suggests a shift in perspective

Reference 107

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no resolver link, observed 2026-08-10T13:32:58.849440Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.849440Z digest=sha256:903bd161ae2e1e0da5d377a72d2248410cebc6856eb17bd6a9533924ca1e58b6

Observation dbcb6543-e503-4734-857d-eec22147453e · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 108

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source=pdf_text observed=2026-08-10T13:32:58.855031Z digest=sha256:7eccdd3ffb628e5f3545f1724214c6ee9adebc493132e5b40d3a3388f26fade7

Observation fc76ad17-96f5-4b21-9588-092efe8245d3 · outbound

This paper cites The camera is closer to the objects: This would make the objects appear larger and closer together, the opposite of what we see in the video.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The camera is closer to the objects: This would make the objects appear larger and closer together, the opposite of what we see in the video

Reference 109

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no resolver link, observed 2026-08-10T13:32:58.860883Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.860883Z digest=sha256:63844c53818349a9d9d1c936e32136bf9a8ed8ecd130a7a4269c5ad1cd7bb470

Observation bb9cc20e-ab4c-42ae-97a1-1d3a553b07f1 · outbound

This paper cites Moving the camera further away from the objects would make them appear smaller and further apart, matching the video.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Moving the camera further away from the objects would make them appear smaller and further apart, matching the video

Reference 110

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no resolver link, observed 2026-08-10T13:32:58.866086Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.866086Z digest=sha256:72872bb99c734732f6f291fdc277bc226ba332a812ff4363958e0abc7339d31e

Observation 6854d486-7c98-49c3-927a-8958ffe07aeb · outbound

This paper cites Specifically, the cereal box and the cymbal seem to change their relative positions more significantly compared to the other objects.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Specifically, the cereal box and the cymbal seem to change their relative positions more significantly compared to the other objects

Reference 111

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no resolver link, observed 2026-08-10T13:32:58.870833Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.870833Z digest=sha256:42ef89dbe718d23474106da8adab89ac61d12470833a08da7d96aec1f2b5d555

Observation 90fde3cf-ce88-4d0f-b21e-fbb2032fe50a · outbound

This paper cites As the images progress, the cereal box moves from the left side of the frame towards the right, while the cymbal moves from the right side of the frame towards the left.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding As the images progress, the cereal box moves from the left side of the frame towards the right, while the cymbal moves from the right side of the frame towards the left

Reference 112

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no resolver link, observed 2026-08-10T13:32:58.875454Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.875454Z digest=sha256:190be72eced59e45b8be8fd9a5172859686b82e5770b360fe276a622a6b9a9d0

Observation 6d50801d-1517-48b8-b64e-ae54cec0f163 · outbound

This paper cites This indicates a movement parallel to the line connecting these two objects.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This indicates a movement parallel to the line connecting these two objects

Reference 113

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no resolver link, observed 2026-08-10T13:32:58.880348Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.880348Z digest=sha256:c6dceba0d4fcb96539ddcf92ab7d6ccde720a76b7da415b1244ae8778bbb35fb

Observation 4fe4086b-4e28-4fec-b325-2607f2babca3 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 114

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source=pdf_text observed=2026-08-10T13:32:58.885362Z digest=sha256:d4e0f492b945ee05e7b273ae9996e91b1d15ba7fa42b750201b0737d931cd894

Observation 093b0edf-7032-4894-9040-8d216062ef0d · outbound

This paper cites This movement would cause the cereal box and the cymbal to appear to shift positions relative to each other, as seen in the images.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This movement would cause the cereal box and the cymbal to appear to shift positions relative to each other, as seen in the images

Reference 115

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no resolver link, observed 2026-08-10T13:32:58.890427Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.890427Z digest=sha256:b9a15b048e862c38f3fe5283561b79f736fe7d1dc068833309644c65cf42272e

Observation 9bb9c689-bf88-414f-a591-435e9e580286 · outbound

This paper cites The flame at the top suggests the candle is burning.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The flame at the top suggests the candle is burning

Reference 116

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source=pdf_text observed=2026-08-10T13:32:58.895241Z digest=sha256:fa2f01a86e4a1fe47103ff9c4960ed5cb2a52d236fe58a6c4615bf273e96c1b2

Observation bbde7c75-cd3e-4c61-b239-56d0300bd0c2 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 117

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source=pdf_text observed=2026-08-10T13:32:58.900648Z digest=sha256:f16d346b384171afd3c333860a9b1196c237378d5efc4a2e1488ede1971d3abf

Observation 5c2ad0b2-eb4b-417f-9e43-29861d5eb41e · outbound

This paper cites Candle causing wax to overflow Detailed Explanation:.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Candle causing wax to overflow Detailed Explanation:

Reference 118

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:58.905785Z digest=sha256:f523951e6d07f48e1b9eb06e322e649c2d33eeb78d27a10751b75a623af7f5b4

Observation 629102bd-09f1-46fa-88f5-a52bfa854d90 · outbound

This paper cites The flame is consistent and does not show signs of being blown out deliberately (which would typically show a sudden change in the flame's behavior).

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The flame is consistent and does not show signs of being blown out deliberately (which would typically show a sudden change in the flame's behavior)

Reference 119

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source=pdf_text observed=2026-08-10T13:32:58.910705Z digest=sha256:48d41946c2c6229fafa3929844256774ab5b4410ed78f4ea7af703ab7dee7ee2

Observation 472dc76d-98fa-4bb9-a9f4-0293addb04be · outbound

This paper cites This indicates that the candle has been burning for a while, causing the wax to melt and overflow.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This indicates that the candle has been burning for a while, causing the wax to melt and overflow

Reference 120

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source=pdf_text observed=2026-08-10T13:32:58.915365Z digest=sha256:da44877ca1b00308fa6b4c420875f62043813dbf012c72b5d992870f08748f21

Observation 93e135e5-90ee-4526-b600-33fb74f2a89c · outbound

This paper cites The flame is singular and centered, which is typical for a single-wick candle.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The flame is singular and centered, which is typical for a single-wick candle

Reference 121

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source=pdf_text observed=2026-08-10T13:32:58.919829Z digest=sha256:4e686882186328eb77ebf10b5134a26b9672d2ab97ee222421e3c2ce452c1ca9

Observation 49d3f6bd-7979-4e77-a5fe-9748887f3475 · outbound

This paper cites Based on these observations, the correct choice is B.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Based on these observations, the correct choice is B

Reference 122

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source=pdf_text observed=2026-08-10T13:32:58.925269Z digest=sha256:748b25f8ca4fd81f8f9712b76d1c4d8e2f595f889124ed206d8f298fbbe90316

Observation 5e5716d5-59d9-4c3f-a855-4cd91761d6c8 · outbound

This paper cites This is the final step where the door has been successfully closed.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This is the final step where the door has been successfully closed

Reference 131

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source=pdf_text observed=2026-08-10T13:32:58.972342Z digest=sha256:be5d1d7b3c4740e67e4a48418d3353f00479968cee705f7ab31e43ef66bfaf5d

Observation 3c45eb83-d35b-4972-bdda-aa202c270bc7 · outbound

This paper cites This is the starting point where the door is in its most open position.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This is the starting point where the door is in its most open position

Reference 132

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source=pdf_text observed=2026-08-10T13:32:58.976822Z digest=sha256:d66971f9b5963fdac110eb79da4431fc08f0a470d2b41398d390654e7db42b19

Observation 816d48a2-2886-47d1-bc19-36f450b6eb09 · outbound

This paper cites This indicates that the door is in the process of being closed but has not yet reached the fully closed position.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This indicates that the door is in the process of being closed but has not yet reached the fully closed position

Reference 133

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source=pdf_text observed=2026-08-10T13:32:58.981040Z digest=sha256:9212a4800dc3cde3f8c780fcc4f48870629bb74660e22795987a9a14279c2cf2

Observation bc4a65d6-b261-40dc-8456-3370c45f782b · outbound

This paper cites This is the final position where the door is completely shut.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This is the final position where the door is completely shut

Reference 134

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source=pdf_text observed=2026-08-10T13:32:58.985589Z digest=sha256:0b94020452c63264bc92d501329f3702ac89223e697fee9713b88e841b5578a4

Observation 7bf18d01-3aea-4fa9-b2a6-7d8c1fb6f277 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 135

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source=pdf_text observed=2026-08-10T13:32:58.989883Z digest=sha256:9e9830516c194a38e0742b89bfbc1e4e891ba00eedb0aab77c63b9688083acb9

Observation 1a44937c-b4c5-4f87-ad4a-e144d6ccd3d7 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 136

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source=pdf_text observed=2026-08-10T13:32:58.994700Z digest=sha256:f0a5b720e189e931a1de94cdc972d317fcd35aa58a3ac0d152399508134ba1cb

Observation 7e8f471c-6802-424c-9873-96e08fb6512f · outbound

This paper cites 1 - 3 - 2.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding 1 - 3 - 2

Reference 137

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source=pdf_text observed=2026-08-10T13:32:58.999820Z digest=sha256:3a38b819331f4c4e6343644c5547ee5b2975de39a4bbcc3b2d2be6fc14cec2ec

Observation 7eedd1ef-4252-4861-a191-3d11d17d587e · outbound

This paper cites This is the initial step where the robot is preparing to close the door.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This is the initial step where the robot is preparing to close the door

Reference 138

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no resolver link, observed 2026-08-10T13:32:59.005186Z

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source=pdf_text observed=2026-08-10T13:32:59.005186Z digest=sha256:83a12654f5a1950f09a82742c693001aff141535ffe813057c570d22d58d9555

Observation 790ce12b-c759-4e79-849d-09183a408e4d · outbound

This paper cites This is the intermediate step where the door is being moved towards the closed position.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This is the intermediate step where the door is being moved towards the closed position

Reference 139

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source=pdf_text observed=2026-08-10T13:32:59.013852Z digest=sha256:2f1c3ba59b72a00f7cdc28b0974537a8778d4882c7f58646a67057c8a8036a93

Observation 41efd581-255c-4aa7-8452-2d2a5b64f9bb · outbound

This paper cites This is the final step where the door has been successfully closed.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This is the final step where the door has been successfully closed

Reference 140

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no resolver link, observed 2026-08-10T13:32:59.019054Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:59.019054Z digest=sha256:84281105c0768211f81c20df370d5db90acf8d6c01d38cc3c82736a63c221d65

Observation 729a8083-6542-4379-9fa8-86578aa9d50e · outbound

This paper cites Therefore, the chameleon turns from blue to red in the video.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Therefore, the chameleon turns from blue to red in the video

Reference 158

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verified fuzzy
raw_fallback, observed 2026-08-10T13:33:01.473274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T13:32:59.119596Z digest=sha256:164d53f178f778204c86a4c1eaeecf27845996b93cfa50d98d0b975573b6bd1f

Observation 9f8de575-de91-4d58-80d6-91264c55f90f · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 159

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source=pdf_text observed=2026-08-10T13:32:59.125385Z digest=sha256:5164021c83291f6ecbf31ac3004b0aada9623d43d54bee888450cda6383bd5a4

Observation 2ef9d537-0838-40c4-b0e8-b654bcdbe1ee · outbound

This paper cites The brown cloth drapes in a more fluid and uneven manner.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The brown cloth drapes in a more fluid and uneven manner

Reference 160

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source=pdf_text observed=2026-08-10T13:32:59.130549Z digest=sha256:915849b3752f7d90c59306eca7cea5de9cb009561ac41a19f9c0963ef67b20a8

Observation 92f4c7b0-4d2d-434b-89e8-877adee229d2 · outbound

This paper cites This suggests it is more flexible.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding This suggests it is more flexible

Reference 161

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source=pdf_text observed=2026-08-10T13:32:59.135885Z digest=sha256:837305a866be5cde5d3f738af8afb22061df6de037d56e615d02fee228dfc645

Observation b8428424-fbc0-41b6-b07c-8dc244309bdb · outbound

This paper cites Therefore, based on the way the cloths drape, we can infer that the brown cloth is more flexible than the plaid cloth.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Therefore, based on the way the cloths drape, we can infer that the brown cloth is more flexible than the plaid cloth

Reference 162

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source=pdf_text observed=2026-08-10T13:32:59.142192Z digest=sha256:f0ce67a33b7189c7ff55a88cf6c5e9798f6ae66889f884f8f1838bc6e2fd1b73

Observation 73f28788-8945-436c-b65e-21c6b8ddc658 · outbound

This paper cites The left cloth is orange, and the right cloth is checkered.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The left cloth is orange, and the right cloth is checkered

Reference 163

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no resolver link, observed 2026-08-10T13:32:59.147341Z

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source=pdf_text observed=2026-08-10T13:32:59.147341Z digest=sha256:56eea326abfb6eb5a6609d3615e5f9344c5237b4dbaa27694eb604bda002e410

Observation f69a91d7-a0f3-4cd3-ad5d-a555bf7976b5 · outbound

This paper cites The left cloth (orange) and the right cloth (checkered) are both pinned at the corners.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding The left cloth (orange) and the right cloth (checkered) are both pinned at the corners

Reference 164

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no resolver link, observed 2026-08-10T13:32:59.152445Z

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source=pdf_text observed=2026-08-10T13:32:59.152445Z digest=sha256:132aac6a03d43eaae723a2350bfc925d7489e29799e7cbfa698437cf6ee11579

Observation 5d8e01e9-b6a4-4c8d-8945-d8b6255601f4 · outbound

This paper cites - In the fifth image, the left cloth (orange) continues to show more flexibility, conforming more closely to the shape of the object underneath it.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding - In the fifth image, the left cloth (orange) continues to show more flexibility, conforming more closely to the shape of the object underneath it

Reference 165

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T13:32:59.158262Z digest=sha256:5bf9aa1d375d568010be703f24b986cd1be1ae638a5a09343c4cd60841eb6932

Observation dd8996bf-1877-43b3-b92e-7c1a6cf0cf19 · outbound

This paper cites Based on these observations, the left cloth (orange) is more flexible compared to the right cloth (checkered).

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Based on these observations, the left cloth (orange) is more flexible compared to the right cloth (checkered)

Reference 166

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raw_fallback, observed 2026-08-10T13:33:01.677342Z

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source=pdf_text observed=2026-08-10T13:32:59.163082Z digest=sha256:ccee635eb7b794a21acbc9faed1d8d09be772805b768bc6c93cec4a24a777d3e

Observation d47cfe00-fe38-4d8f-a980-61953397063d · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 167

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source=pdf_text observed=2026-08-10T13:32:59.167366Z digest=sha256:4664b78627032cd6d5fc85517ab6e1248e7af9716bc683b6337915fb9843ee85

Observation af27ad7b-52d1-4739-a335-e79cfd8bbdaf · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 168

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source=pdf_text observed=2026-08-10T13:32:59.171513Z digest=sha256:44d12f75ef794b3eab11ad88086285ff222f3a8c042243bd6e63420a427248de

Observation 4eea45d9-d2fc-41d9-9c73-41bfd7b0d1f2 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 169

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T13:32:59.175717Z digest=sha256:a4a54d7664832a5d5c37f1b2ebcaf4b36e5bf30193fef5ff6dd7d7d76a221ab6

Observation 5ddc604f-8e8b-43f4-87fb-e3438485e5ca · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 170

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T13:32:59.181004Z digest=sha256:5569f50ac8d6eceaac6dc08da32d8554b4eea8af03b95547ec9d71f5660a9b78

Observation b519faee-7af7-4ec0-a9e8-71e45f4be0dc · outbound

This paper cites Thus, the chameleon turns from blue to red.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Thus, the chameleon turns from blue to red

Reference 171

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verified fuzzy
raw_fallback, observed 2026-08-10T13:33:01.580716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T13:32:59.185067Z digest=sha256:b863ade5a53b9d28adb5d3acd204b1d747c0553e0f88e8f9790fdecd37b6e9fc

Observation 41ae4a6f-94d1-4c78-8c68-0cc16b870130 · outbound

This paper cites an unresolved cited work.

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Unresolved cited work

Reference 172

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raw_fallback, observed 2026-08-10T13:33:01.565139Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T13:32:59.189284Z digest=sha256:91c851dd190917017218ddbc3d70c25b0dfbe56314e4fe18f2f65fb484c1c08b

Pith citing papers

Observation 3c46dd01-378a-44f9-b539-b04c800706f5 · inbound

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges cites this paper.

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 38

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source=pdf_text observed=2026-08-10T22:17:22.833277Z digest=sha256:ef2b3590aa0440afff47b35ef4bd61b25d278daf261466ab72f21f8b230f41d6

Observation d0cd0ca3-4dbc-49ee-ac8c-52c7c301d3b4 · inbound

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 80

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no resolver link, observed 2026-08-15T23:21:12.227048Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T23:21:12.227048Z digest=sha256:5029593d10e41eaddf83b9d4ccd61d99fd96fa72e5713ce5e8a90434234fab1d

Observation bd68b17c-0d3e-4941-9785-c660c43d028a · inbound

Multi-agent Embodied AI: Advances and Future Directions cites this paper.

Multi-agent Embodied AI: Advances and Future Directions PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 32

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no resolver link, observed 2026-08-15T23:16:15.412406Z

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source=pdf_text observed=2026-08-15T23:16:15.412406Z digest=sha256:d4ad7c2c2aa9f635ffb9e9e52f65783b38886d34aa6697228e30062582dd837d

Observation 4862e706-3f21-448d-9770-eb781bd02a35 · inbound

GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation cites this paper.

GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 26

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no resolver link, observed 2026-08-15T20:18:08.148069Z

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source=pdf_text observed=2026-08-15T20:18:08.148069Z digest=sha256:b84f64c04e8d0010c74815422aef8c38e04781232653dbb84cab3f4b9f465a6b

Observation e21ad921-79a6-4560-9b7f-864dd3f762ce · inbound

MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models cites this paper.

MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 7

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unresolved
no resolver link, observed 2026-08-15T20:12:19.785850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:12:19.785850Z digest=sha256:9fb858aec5c123e8a9ed918a20e74e17e63a32f024da166333dfb3c64c6bd10e

Observation 66a157a6-5b60-499a-a687-1dab7813fcdc · inbound

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models cites this paper.

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 4

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unresolved
no resolver link, observed 2026-08-07T14:51:30.872381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:30.872381Z digest=sha256:ba738a10a1d95465814dc35cb7cc1c4cfb160a1a4034fd16f76aebd02040b36f

Observation a68e7cff-fea3-490a-ba38-0dc1711637de · inbound

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation cites this paper.

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 14

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unresolved
no resolver link, observed 2026-08-07T12:42:23.938745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:42:23.938745Z digest=sha256:38acebc6a2c474bb36218e97113ec70884cc717c92b848359c9e49be109513b5

Observation 3d74019f-fe34-4f14-a255-a411d2c9ff04 · inbound

Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT cites this paper.

Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 49

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unresolved
no resolver link, observed 2026-08-07T12:36:21.624537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:36:21.624537Z digest=sha256:f5c64afe05596871477fa7e6f636c44090f53abf0e78d176ee909e538f7817f0

Observation 436010c1-1f0f-436c-b484-c25ccb20e378 · inbound

BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models cites this paper.

BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 51

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no resolver link, observed 2026-08-07T10:35:45.016934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:35:45.016934Z digest=sha256:0ad4040e971f624e25a7c30435e695fbc1debc1527c8be18f089c01d47e37077

Observation 6a394c52-f008-4a5f-9765-91e767e95606 · inbound

MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning cites this paper.

MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 2025

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unresolved
no resolver link, observed 2026-08-07T10:26:32.092036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:32.092036Z digest=sha256:ce5877ff7c002262e775ecf0138a87f6b1e2a0bca5e6d142239ec72bbbc0f51b

Observation c92e2212-d8da-45b3-9170-e0be4cac742f · inbound

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship cites this paper.

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 8

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unresolved
no resolver link, observed 2026-08-06T21:54:44.462046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:44.462046Z digest=sha256:f21ab6859ac35f10cd48771613944d3637364f2ca6bf26c91443ba1080f7ac04

Observation d5e2afbd-c8a4-42e7-98b2-3df09b155d46 · inbound

Abstract 3D Perception for Spatial Intelligence in Vision-Language Models cites this paper.

Abstract 3D Perception for Spatial Intelligence in Vision-Language Models PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:45:24.431565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T22:43:16.761970Z digest=sha256:0a1a069e8a4e77a7986285370972fba6f1b30fbcdebfd5734a6e745b925168e9

Observation 78f07fa2-0a71-46e7-ab1d-4b349425d388 · 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 PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 4

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unresolved
no resolver link, observed 2026-08-03T21:14:08.671259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:14:08.671259Z digest=sha256:e9563ed21302e5414124d8d19fe0bd83a91f683b735b34268a6df1c615a311c3

Observation 466b7f2c-449d-402f-b6c3-6a4b6c17a26f · inbound

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models cites this paper.

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 13

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arxiv_id, observed 2026-05-17T05:59:08.633140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T05:55:11.495430Z digest=sha256:d0af58868b17036fb671708470d83387bdb1e6df3b4ea0a122200101af565d67

Observation 88b3674e-346b-4206-a479-2edee83aa4e4 · inbound

CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates cites this paper.

CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 9

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unresolved
no resolver link, observed 2026-08-03T17:17:05.467145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:17:05.467145Z digest=sha256:c4945cfc783450f5a22185ba69dd1d3bb131b803b1c6abc1354b349f83fdcbd7

Observation b379fa1c-68a0-47ce-829c-38684ac4ae24 · inbound

V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions cites this paper.

V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 10

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unresolved
no resolver link, observed 2026-08-03T16:47:24.462509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:47:24.462509Z digest=sha256:04cd92ea5e57e00a039af44d9676413f5e09a1db8433dffbf11987b72608eab1

Observation 4ad7f2f2-4cb9-40be-a877-71b08816f498 · inbound

Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control cites this paper.

Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 24

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arxiv_id, observed 2026-05-21T17:00:24.008404Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T16:57:19.490074Z digest=sha256:07b3021358375d66d852d87f0372fdc5ed21ebc6f848258226071d2d9355ec9d

Observation c8afffaa-b52f-4a36-8ee1-4d4446130432 · inbound

SCP: Spatial Causal Prediction in Video cites this paper.

SCP: Spatial Causal Prediction in Video PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 13

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arxiv_id, observed 2026-05-15T16:50:11.227229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T16:47:44.523606Z digest=sha256:c9bdddc7df120eae2a66492a5120aa4ef999a9385860f88df2370353a3c586fd

Observation 253d7d01-5785-4c20-8e07-4864a5d3dbbe · inbound

Multimodal Language Models Cannot Spot Spatial Inconsistencies cites this paper.

Multimodal Language Models Cannot Spot Spatial Inconsistencies PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 11

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verified exact
arxiv_id, observed 2026-05-13T23:13:24.768838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:12:27.333405Z digest=sha256:d313dc439b5396f54e883eb51153afafdf9373b4a9ce9e17138375e342d6b72d

Observation 4b761ef7-61fa-437e-8043-744e943c169f · inbound

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving cites this paper.

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:46:04.347333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T00:37:55.147350Z digest=sha256:ad5e82b6baa4811ed430971bd540daa80bdd51de2ca5ed8137290477e0619bee

Observation c6304c87-1c74-40c7-9399-168e0d4138f5 · inbound

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving cites this paper.

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 96

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metadata mismatch
arxiv_id, observed 2026-05-11T14:21:03.894039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-09T22:04:19.654714Z digest=sha256:c191180c4d22c720f2aefd3cb39adf95692140729eee85c1c72894b10e393725

Observation 935b2493-3073-40e1-bb43-26b7cdfca23a · inbound

Grounding Video Reasoning in Physical Signals cites this paper.

Grounding Video Reasoning in Physical Signals PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:34:07.272291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T22:29:21.240010Z digest=sha256:360602623691efc685457fa61e296ac09db8dfe6542bbc3aac1d299a48b758d4

Observation f65b4cce-0ad5-4843-b705-438b4bd60786 · inbound

From Priors to Perception: Grounding Video-LLMs in Physical Reality cites this paper.

From Priors to Perception: Grounding Video-LLMs in Physical Reality PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:21:08.313979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T17:41:23.233366Z digest=sha256:d923dbb6384568be064a8d39bf3b5633bc8e4f8ff952b479e992f566afcd0fa1

Observation 4ef3b87a-c965-4d11-b366-5270fa6a8c92 · inbound

Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs cites this paper.

Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:05:53.207696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T03:04:27.841522Z digest=sha256:55540f5dcf1f02bf9dddc08f3c783e52377e0905aa01e4981c45d41751571a31

Observation 2d14ffac-878a-4c03-aa2e-43ef42ff1033 · inbound

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

Quantitative Video World Model Evaluation for Geometric-Consistency PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 8

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verified exact
arxiv_id, observed 2026-05-15T03:14:53.082576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T03:11:03.060052Z digest=sha256:5e577e8e95a60c20aa2747d1d890b04b55a4d1890d1b8e44ac79df13486da0cc

Observation 6ab7aa76-0d97-4a16-b022-74df7f7b3ab3 · inbound

PhysBrain 1.0 Technical Report cites this paper.

PhysBrain 1.0 Technical Report PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 9

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verified exact
arxiv_id, observed 2026-05-19T16:37:39.921164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T16:34:44.204055Z digest=sha256:581b59e62ab150580d6394e3596b60da1710858ef2b9f2f3474fb533d963cabc

Observation a84fa5a1-28c9-4685-9564-e6224bcd8179 · inbound

Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence? cites this paper.

Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence? PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 8

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metadata mismatch
arxiv_id, observed 2026-05-21T01:33:56.534774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-21T01:31:17.669186Z digest=sha256:1d8a65f3646b64d16b0a8c238cf4c430ed33deed702a2c8bee83d9c20227fb03

Observation 150f97be-9eaa-4875-9b79-17369e18171e · inbound

GeoWorld-VLM: Geometry from World Models for Vision-Language Models cites this paper.

GeoWorld-VLM: Geometry from World Models for Vision-Language Models PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 11

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verified exact
arxiv_id, observed 2026-05-20T17:58:49.557468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T17:57:00.909897Z digest=sha256:af6dfa1482e106731a7c4cb21fde31edf462881d3acd5210f599296ee96d63b5

Observation 637f56f8-b75c-46b0-8cd7-9eef946ff3c5 · inbound

GeoWorld-VLM: Geometry from World Models for Vision-Language Models cites this paper.

GeoWorld-VLM: Geometry from World Models for Vision-Language Models PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:05:00.630085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T19:02:05.125937Z digest=sha256:2973049ce836ae867bf2a3ede70fb634ed722720ee71587263c48375562ff36d

Observation 6fdda63d-6d25-48c9-a74e-4b9c0c25729a · inbound

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop cites this paper.

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T10:53:13.228601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T10:52:22.778489Z digest=sha256:97fda9d70edfada6afeb7bdff2c5f14a8f823c4b0884e581ad7c8ad782606101

Observation 20dda940-1c8b-48fd-9f8f-0d7591ca878a · inbound

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop cites this paper.

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T14:55:48.810709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T18:25:17.831116Z digest=sha256:d5ac64e18aa68e3220fc077b97071c2312a788f297a875ab719cd10531d0c058

Observation e87495d2-7025-455f-9942-efeb2ac24e45 · inbound

$\Delta$ynamics: Language-Based Representation for Inferring Rigid-Body Dynamics From Videos cites this paper.

$\Delta$ynamics: Language-Based Representation for Inferring Rigid-Body Dynamics From Videos PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 17

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verified exact
arxiv_id, observed 2026-05-21T06:14:40.989000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T06:14:26.824489Z digest=sha256:151f34e07d101dbbf550b101975a13246ef0b84293f88a501c49fedc4af0a392

Observation 5ead1bbb-04be-4290-af55-1656208acec8 · inbound

World Models in Words: Auditing Physical State-Transition Commitments in Vision-Language Models cites this paper.

World Models in Words: Auditing Physical State-Transition Commitments in Vision-Language Models PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:23:15.377444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T08:18:45.804447Z digest=sha256:e1fa1ad4c385610c6aa0fc3a567ac9569aa0ac9eb05689cd849a9412709a0dbb

Observation 6b6d6710-75cd-4995-8649-3336d863e737 · inbound

Benchmarking Single-Factor Physical Video-to-Audio Generation cites this paper.

Benchmarking Single-Factor Physical Video-to-Audio Generation PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 14

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verified exact
arxiv_id, observed 2026-06-29T07:43:13.382683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T07:41:56.917119Z digest=sha256:772003f00d07a6fd305b93859275643b1e49cf392b84198202d04cdda3a83de0

Observation dbf71278-e1e7-40ad-8abb-55308a286db9 · inbound

Physically Viable World Models: A Case for Query-Conditioned Embodied AI cites this paper.

Physically Viable World Models: A Case for Query-Conditioned Embodied AI PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 16

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verified exact
arxiv_id, observed 2026-06-29T09:13:16.514166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T06:55:57.801162Z digest=sha256:92681e278467a6dc6a976bc5de2d30a5009b16699c81444195605c2c23fce6e2

Observation 99ed44cd-9b49-4b80-b54e-42c1ffa78105 · inbound

Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs cites this paper.

Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:57:06.745261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T23:15:38.962013Z digest=sha256:7cbfa9f9bea43d685dbd43405f3b5fa2c9a3979aedf0ad329025347ae61f3163

Observation 03672721-5de8-42b2-84a0-91793d035cc0 · inbound

Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them cites this paper.

Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 22

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metadata mismatch
arxiv_id, observed 2026-07-02T12:36:57.143795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T01:58:00.336605Z digest=sha256:3fbdd27822de1d832659257f2042683a2af810b35736192d41b8a18639bff701

Observation d8f0afaf-4af6-4b32-b691-5135409340bd · inbound

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? cites this paper.

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 43

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arxiv_id, observed 2026-07-02T20:27:22.649811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T20:23:18.667677Z digest=sha256:1f0f7ff9ce7c2735c576774cb8462c52513af0a6f4e5283f8c19864ec4f2b928

Observation 75b7dd1d-4257-4bb6-9d38-070252d0be41 · inbound

RigPI: Dynamic Parameter Identification of Rigid Body via VLM-Seeded Differentiable Simulation cites this paper.

RigPI: Dynamic Parameter Identification of Rigid Body via VLM-Seeded Differentiable Simulation PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 20

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verified exact
arxiv_id, observed 2026-07-04T17:39:59.976044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-25T23:35:13.949488Z digest=sha256:e9f8593988f03ca7b3900c10276abd64ce6c1c4cd2349710868b74218ab4515b

Observation 8fac81bd-607e-4c0c-a713-b8d29f4845d8 · inbound

RigPI: Dynamic Parameter Identification of Rigid Body via VLM-Seeded Differentiable Simulation cites this paper.

RigPI: Dynamic Parameter Identification of Rigid Body via VLM-Seeded Differentiable Simulation PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 20

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arxiv_id, observed 2026-07-04T13:19:50.512556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T05:22:09.771975Z digest=sha256:4f0e012306801c4c8af3a20f5207b4a5c2de75ef279e5af2e95d1b24bd2bdc3d

Observation 3de5026f-5932-46d8-afa2-1f54c803ea22 · inbound

OmniView-Space: Reinforcing Spatial Reasoning via Multi-Perspective Spatial Mapping cites this paper.

OmniView-Space: Reinforcing Spatial Reasoning via Multi-Perspective Spatial Mapping PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 20

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verified exact
arxiv_id, observed 2026-07-02T14:17:02.469095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-02T14:16:39.649823Z digest=sha256:07ded0a60820014b189779ea7a78c17f6f026f0f54acae75a5650c01131ffebe

Observation e04f13be-3fad-462a-862b-e35eaebd4cb3 · inbound

Does AI Understand Imaging? A Systematic Benchmark of Agentic AI for Computational Imaging Tasks cites this paper.

Does AI Understand Imaging? A Systematic Benchmark of Agentic AI for Computational Imaging Tasks PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 10

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verified exact
local_arxiv, observed 2026-07-09T18:06:25.899637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-09T17:59:03.869202Z digest=sha256:5741b759511770ae878ceddc22f9e5f26ee92792803e35b176332b16c9a0bab3

Observation 8299f42c-fbf6-4c4a-bca0-c50e31843b7c · inbound

RetroHolmes: When Semantic Plausibility Fails Retrospective Physical Process Reasoning cites this paper.

RetroHolmes: When Semantic Plausibility Fails Retrospective Physical Process Reasoning PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 11

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unresolved
no resolver link, observed 2026-07-14T07:27:08.281893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:27:08.281893Z digest=sha256:13796e274feb84f5d936daee72acdf22d0ec356931e371d7b5b2f20cebf73ec7

Observation 1c6b2d5e-c3fd-4ab7-922d-cf3aabae0e3b · inbound

Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence cites this paper.

Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 13

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unresolved
no resolver link, observed 2026-08-01T21:07:24.575800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:07:24.575800Z digest=sha256:139c898f0a956d95b342be195dc69061b031c238b01a24f2abce039444a80259