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Paper Citation Record · LEDGER

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation

As of 4 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2605.22536.

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

pith.paper-citation-record.v1
2605.22536 v2

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T17:07:49.005419Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

86 of 86 outbound references displayed

  • verified exact13
  • verified fuzzy68
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddd9acab-c461-47c0-ab06-665606decc20 · outbound

This paper cites Visual instruction tuning.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Visual instruction tuning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.451401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation eccba92f-0bc3-4e37-a349-95f29ad35e0e · outbound

This paper cites Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence

Reference 2

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verified exact
local_arxiv, observed 2026-06-30T17:14:57.272072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:77ea34932c1ea603f0ba6a24a006ec16d68277a67b543ec783b2ae828a47e5fe

Observation 40a0193d-4a07-47e5-b65d-f291ad9f3640 · outbound

This paper cites an unresolved cited work.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-07-08T10:54:50.382987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:d2bc00fcf94219d7b01423ef008ee2939c6ab6aba4e101f869f16a3e54de8e9a

Observation 8b1b525b-fc44-46c8-b12c-f5c2b47ef508 · outbound

This paper cites Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-06-30T17:14:57.277302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:4e653c46c25f1b1bf641aea05cf820e32908fde3d779648c0aafa0dd05df7a70

Observation 63e8f605-6c9f-4107-bda1-eca7581de84b · outbound

This paper cites Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:57.282353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:d974d6739741183b3f91c61fd62907dc5f1e8d126674c787bdb2dea908f64977

Observation 9b08360e-3b45-4650-89cd-f9fd39b16ed7 · outbound

This paper cites Robotic visual instruction.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Robotic visual instruction

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.296832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:c807d9757d12a0b533af01136c9b40ddd46ded9be434579a3f06f178228dd534

Observation d1eb58b4-fcc7-4131-bc04-4844799c3c1b · outbound

This paper cites Mmsi-bench: A benchmark for multi-image spatial intelligence.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mmsi-bench: A benchmark for multi-image spatial intelligence

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.421705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:1071925c8b114a8cf0fd7d7291e7972c903cc38b239f4b4a456ac3029db38259

Observation 464162c2-65f8-492d-8fd5-98ab137f6e2b · outbound

This paper cites Dsi-bench: A benchmark for dynamic spatial intelligence.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Dsi-bench: A benchmark for dynamic spatial intelligence

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.389496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:25a57688ff3130149725af18b6053dc32803ce9f5b7a73290ce0e1e534299d6d

Observation 5c8e56c1-fd4f-42ce-8a0a-c49420e6a97b · outbound

This paper cites Cambrian-S: Towards Spatial Supersensing in Video.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Cambrian-S: Towards Spatial Supersensing in Video

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-30T17:14:57.274494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:4fa4df39c8c160cf94fe9dbcf8f006c13b932d07e1eeffe2a0b4171ae8908782

Observation d4f08ac5-3e97-4133-b2a5-ea07e28ac3b2 · outbound

This paper cites Omnispatial: Towards comprehensive spatial reasoning benchmark for vision language models.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Omnispatial: Towards comprehensive spatial reasoning benchmark for vision language models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.343690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:0fec24ad721599b17f5d66ff6f689c080d2f66d6124c4868b074c3f44c12e97e

Observation f7d87c53-794c-4d5a-a8f2-30e8d29247e5 · outbound

This paper cites Mindcube: Spatial mental modeling from limited views.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mindcube: Spatial mental modeling from limited views

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.377768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:a0eca49294ebbce7f1863b46f6e154e28fa7fc96e59066814015252d19b0f67d

Observation b9c04230-c3ea-49a1-bbc2-c650b0edf382 · outbound

This paper cites Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.431702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:195bc7af4575265c24bb0e3386e88f31a1ae988acc2a794c95585b6f83629445

Observation 3375eb0f-d871-42e5-9928-8b4570404828 · outbound

This paper cites Stepping vlms onto the court: Benchmarking spatial intelligence in sports.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Stepping vlms onto the court: Benchmarking spatial intelligence in sports

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:57.264014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:92731fcf4f505925becc9f6d023e79d08ce8ed4769cdc911d2f2b7567249e984

Observation b14a4d56-5017-4361-992f-3185d8d595fd · outbound

This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.423509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:808746652f97810fcd58c31fe05f3b6861d53704ee61c5eb130eba14745b5acb

Observation 77bdd3df-73f9-460d-a4e5-bcca9019770e · outbound

This paper cites Thinking in space: How multimodal large language models see, remember, and recall spaces.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Thinking in space: How multimodal large language models see, remember, and recall spaces

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T17:14:57.257696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:ca4073ff3290905b85040bcf918a1346cf2c1343c9c94f61c46868d59b10fb2a

Observation 193b285d-e7e1-4a2e-8e93-61bc8d4680a3 · outbound

This paper cites Scaling spatial intelligence with multimodal foundation models.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Scaling spatial intelligence with multimodal foundation models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:57.252788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:392dbad7185a868c2ce3d9c09f965c312758cec4fec5d5c1bc29d38824c7f0fd

Observation ce7c9c13-e6cf-474e-94dc-7f035d387378 · outbound

This paper cites Deep video deblurring for hand-held cameras.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Deep video deblurring for hand-held cameras

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.397864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:610b743a10516f66ab265786b375b49038c7cf54f4f2d6250124443e1ee06c09

Observation e4c765b3-f32b-428b-9c43-439098f866fe · outbound

This paper cites Deep multi-scale convolutional neural network for dynamic scene deblurring.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.400293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:f792986da94fc10312d0ffb287a4db793bf1a67d571f30af023a9429fe9a6d7a

Observation 848f89c8-ddae-42db-a869-2251dfdc37f4 · outbound

This paper cites Efficient spatio-temporal recurrent neural network for video deblurring.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Efficient spatio-temporal recurrent neural network for video deblurring

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.395312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:d79e9fe7aa822f0aac86f1f6eb029dcd12fcab06cfd699942795afcd3d9d9e0b

Observation b3012c46-aa45-46c8-878e-ef60c9c6c083 · outbound

This paper cites Real-world video deblurring: A benchmark dataset and an efficient recurrent neural network.International Journal of Computer Vision, 131(1):284–301.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Real-world video deblurring: A benchmark dataset and an efficient recurrent neural network.International Journal of Computer Vision, 131(1):284–301

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.405726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:434620e397ffe8cb254c06e3c887f2cc5231677f0f9096d14e0b31d78e94cf01

Observation 9715bbcd-cbb2-441d-848b-72f4902dbffb · outbound

This paper cites Blur interpolation transformer for real-world motion from blur.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Blur interpolation transformer for real-world motion from blur

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.409806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:886b41788338db825e2f61488a0c172cfb683f4ceb0b94d3cf7fad22548f249f

Observation 6e865bac-81f7-48b2-8b61-20d1ae6a75eb · outbound

This paper cites Image super-resolution using deep convolutional networks.IEEE transactions on pattern analysis and machine intelligence, 38(2):295–307.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Image super-resolution using deep convolutional networks.IEEE transactions on pattern analysis and machine intelligence, 38(2):295–307

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.389733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:70ea0abd2636fa9818de8f539c4f78dd81ece1aa093a045a71fa06c7a408e93f

Observation addc3000-5e18-4fb2-8599-357b9adf3267 · outbound

This paper cites Photo-realistic single image super- resolution using a generative adversarial network.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Photo-realistic single image super- resolution using a generative adversarial network

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.378777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:c4a50139a921f464b340524fc1b501e974c49e5a494e4d90e0fde8be5f4d84d7

Observation 8e5f4118-fc11-4e6a-9510-18ebb37cd049 · outbound

This paper cites Esrgan: Enhanced super-resolution generative adversarial networks.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Esrgan: Enhanced super-resolution generative adversarial networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.429185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:d724af8f0ad7eb4d693d9109179dd30b315b4d2db319958d9551c11f42f2b4ec

Observation 264d4a10-24ad-42be-bb54-1337c4a4fc51 · outbound

This paper cites Transformer for single image super-resolution.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Transformer for single image super-resolution

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.458722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:98d58b3912514bcd38e159b56fbc30312576c22a3671c20ddfe6a52678100b1b

Observation 2ca063cb-d439-4fd1-9183-e864bc9938b5 · outbound

This paper cites Deep shutter unrolling network.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Deep shutter unrolling network

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.411689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:6bd899f83e647675e4220203b361a7952310bd05a500eec0dc653e1aae669912

Observation 7b4eabfa-abaf-40b8-bf8f-0034f1d69d0a · outbound

This paper cites Towards rolling shutter correction and deblurring in dynamic scenes.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Towards rolling shutter correction and deblurring in dynamic scenes

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.373019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:f7d21eb7b5ab689ca948a11e309288a040048c9448594a9606e1c4e60ff05092

Observation a1069ab5-f736-40c8-8dff-69807cf0e98d · outbound

This paper cites Learning adaptive warping for real-world rolling shutter correction.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Learning adaptive warping for real-world rolling shutter correction

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.386825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:df7b5fcde87ab81dce11c726a630b60f59a1d25813caba157329d12754b5a511

Observation 93b748c4-4c33-485c-8d06-051549f61fa2 · outbound

This paper cites Learning to see in the dark.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Learning to see in the dark

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.354143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:521300c7384f33160eaf9ffb05c71ca3dae1457b8e91dcfd9291f53641739606

Observation 2147d2ca-dbad-40f7-9d8a-18f84fc8a137 · outbound

This paper cites Visibility constrained wide-band illumina- tion spectrum design for seeing-in-the-dark.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Visibility constrained wide-band illumina- tion spectrum design for seeing-in-the-dark

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.444128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:c7e9ef2f7e7b8f931c4535a0e1aa9c6b57f1bb8b47243b369358d32abf03724a

Observation 538ccd8b-2a0c-4976-86e8-2d2a2d06543e · outbound

This paper cites Nir-assisted video enhancement via unpaired 24-hour data.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Nir-assisted video enhancement via unpaired 24-hour data

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.455990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:45ab6e88e5e7e931db43f2350cd6c1adaafd02ee9c56fd4684a7c132e759bbac

Observation d6971ca6-1b31-4d53-a3e0-63002a1fe4c7 · outbound

This paper cites Single image haze removal using dark channel prior.IEEE transactions on pattern analysis and machine intelligence, 33(12):2341–2353.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Single image haze removal using dark channel prior.IEEE transactions on pattern analysis and machine intelligence, 33(12):2341–2353

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.461460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:2f25c35dc0a6a0827e7dcdae2d1bcfa3aa7dfa647617ff1e4601aa181a5b0b37

Observation 91e64fc3-13e6-4855-a134-b44771058f9b · outbound

This paper cites Clearing the skies: A deep network architecture for single-image rain removal.IEEE Transactions on Image Processing, 26(6):2944– 2956.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Clearing the skies: A deep network architecture for single-image rain removal.IEEE Transactions on Image Processing, 26(6):2944– 2956

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.337300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:fd03262418a8046110c6373e13d8eec7a53e5605ef9db3cb57de9cf59ca4f8af

Observation 83c044fb-416d-41e4-acdf-c299d85d1e36 · outbound

This paper cites Robust-r1: Degradation-aware reasoning for robust visual understanding.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Robust-r1: Degradation-aware reasoning for robust visual understanding

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.340307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:581709320dc0de583a81786c6c4817ad14287e7b2a7123e2d8092395c04466ac

Observation a1ae2f2a-02aa-4fbe-84a7-ebc700dbea63 · outbound

This paper cites Vlm-robustbench: A comprehensive benchmark for robustness of vision-language models.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Vlm-robustbench: A comprehensive benchmark for robustness of vision-language models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.345921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:ca981e018f74fbb6acb2886f9418dd504f5b6a1491f445be4ca1e77034808378

Observation d5c74b72-2683-4944-a06e-b7225d111e78 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.403763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:70c54ec634503c5f8e474b69ffd1400853cb298ebfb3f813c328e17431f9f277

Observation 938bb0d4-b0a9-42ad-9c00-658af3859a03 · outbound

This paper cites Holi-spatial: Evolving video streams into holistic 3d spatial intelligence.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Holi-spatial: Evolving video streams into holistic 3d spatial intelligence

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.407054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:2d3b3d41fb83e9e8754c3d342a593cff86cd50785a3017475d955ddf275ada4a

Observation 108aeded-4e56-4b79-9651-e9f9fcfb0bb9 · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.334119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:d7233ce53f640944b033e898404de202a343af7c29f3ca424ea0ec21cd22ad59

Observation 1f8ae9de-327f-403b-b1dd-cb35d2145738 · outbound

This paper cites Qwen3.5: Towards native multimodal agents, February 2026.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Qwen3.5: Towards native multimodal agents, February 2026

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.351743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:e1fe2661355eee7a50098564998936e127f5a2d4c8fbea048283613820bf1425

Observation b5287a69-1021-449c-b596-786d28ff574d · outbound

This paper cites Internvl3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Internvl3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.337575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:9047c01eabfe10707bdc7ee2592dd7b96dd829ae228f50db3e286c46a3534718

Observation ddcf4665-8ef3-40cc-ada9-505542df975b · outbound

This paper cites Kimi-VL Technical Report.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Kimi-VL Technical Report

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-06-30T17:14:57.255175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:de94e5ad3251e30bd207de194728f228a2211b7bdcd0c24fa4233b484de55e83

Observation 8f4e4a20-0cba-4558-9d99-197a97e9bc85 · outbound

This paper cites Mimo-vl technical report.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mimo-vl technical report

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.323994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:58023a84ae7e6fe32f6a495aab7536ec528779a0f91c758a536e0ac5aa9d6126

Observation 4d5780a1-36bc-4968-92f1-8bde7258f37d · outbound

This paper cites Spatialrgpt: Grounded spatial reasoning in vision language models.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Spatialrgpt: Grounded spatial reasoning in vision language models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.343133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:41ff1f7fb89365c307a30d7e38fdbc1fbc64d58ee1ed0a9dca2be44b81197ec7

Observation 1687352b-42c2-48fa-a301-c42255e2c69c · outbound

This paper cites Mm-spatial: Exploring 3d spatial understanding in multimodal llms.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mm-spatial: Exploring 3d spatial understanding in multimodal llms

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.401039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:189278483b4109040d2c0da3e165432c30381cf8ead5338b49c96ccd9917c9c4

Observation 77d67a3c-4af9-42c7-84d9-8bbad73ddd89 · outbound

This paper cites Vlm4d: Towards spatiotemporal awareness in vision language models.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Vlm4d: Towards spatiotemporal awareness in vision language models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.412973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:c3518324fc07f063665456c51356ef5b45480b6567715088e49ca427dd2735ed

Observation 5d59744e-b921-4df4-873f-ab55bac7eab7 · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Benchmarking neural network robustness to common corruptions and perturbations

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.290119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:fc942e4d4d8d5660cfee67768b97e46478ebab836e94779bdf5b835d9aa23006

Observation 593635b7-8dd5-4d50-b5cd-aabbc77bc05e · outbound

This paper cites On the robustness of large multimodal models against image adversarial attacks.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation On the robustness of large multimodal models against image adversarial attacks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.426352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:4065d3ccb2777a25490c41895e3936c24512b371f79b53b5e10181764350fd1a

Observation ab40fc05-5cee-4d5e-8e49-c16bc6ec070f · outbound

This paper cites Analysing the robustness of vision-language-models to common corruptions.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Analysing the robustness of vision-language-models to common corruptions

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.349205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:cbb8f6c1537d6f07e037bf055c9a6ad6cfc34f3ba2aba551985d433d9ee5d7c8

Observation 7b076f67-b42b-4220-8825-effca920b42b · outbound

This paper cites an unresolved cited work.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-07-08T10:54:50.463914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:8b03d47b65c345e2b510d8d45331e6760be2dc662d87373ad93aa7617aaffa97

Observation 80d1efc3-f9b8-454c-842b-b32cb4ad79bd · outbound

This paper cites Scaffold-gs: Structured 3d gaussians for view-adaptive rendering.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.280297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:9c2c24f86e2b2268f5cc4efaea08a30d27fbbb957f456699555fd5a21b86e60d

Observation 640b99d5-78f2-4f4d-9177-8a511e631457 · outbound

This paper cites Octree-gs: Towards consistent real-time rendering with lod-structured 3d gaussians.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–15.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Octree-gs: Towards consistent real-time rendering with lod-structured 3d gaussians.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–15

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.306059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:c2bec37b3768fedd86da5bad1d45a7ff4c11c9eca50363b1ad477a43df55ad58

Observation 447d8b1e-a018-49a4-8098-2607648b04c6 · outbound

This paper cites Mip-splatting: Alias-free 3d gaussian splatting.Conference on Computer Vision and Pattern Recognition (CVPR).

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mip-splatting: Alias-free 3d gaussian splatting.Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.334518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:d2182ec86b5e24204a8811c6688656f34dad7043828cee6daa0e158c2c2efb25

Observation 1bd72242-87b1-4d7c-b93a-97dfb8866748 · outbound

This paper cites Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-01T02:16:55.401713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:8cc8d087d3ecf7ab0edc4c9db03fd6adad3d58a2ee3d796da0b1e1e551c63bb1

Observation 93c75d10-8978-4246-962c-5611e5220879 · outbound

This paper cites PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:57.260901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:fd3f496c079fe88d857c2fc6c23471f9d81b10437e851c70f70f0baf9c511736

Observation 4460a5ed-cf03-49e8-b214-d1a013a22015 · outbound

This paper cites Citygaussian: Real-time high-quality large-scale scene rendering with gaussians.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Citygaussian: Real-time high-quality large-scale scene rendering with gaussians

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.361155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:def96034530651945510ad71bc100450c7a60c252eb18bc18d76fd0b5c46aa37

Observation cd43d22f-6d0a-4433-b4d4-ac5c545df1a4 · outbound

This paper cites Citygaussianv2: Effi- cient and geometrically accurate reconstruction for large-scale scenes.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Citygaussianv2: Effi- cient and geometrically accurate reconstruction for large-scale scenes

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.363734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:49b62ab26dbfa14bf2fd17c1753b7f3ee4b05cb5e6aea72f154ed0e9c623d597

Observation c7b80fcf-243e-4049-9a12-d9b7b3417fe2 · outbound

This paper cites Citygs-x: A scalable architecture for efficient and geometrically accurate large-scale scene reconstruction.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Citygs-x: A scalable architecture for efficient and geometrically accurate large-scale scene reconstruction

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.374600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:53c96638b4bbe66785c1255da777f487be9642a20dd3373db27f37abbb991b8b

Observation c897650d-1641-4282-8742-96ec050f6ba1 · outbound

This paper cites Vastgaussian: Vast 3d gaussians for large scene reconstruction.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Vastgaussian: Vast 3d gaussians for large scene reconstruction

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.466864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:aea6631b3c12fa67eb0148d6f1c9e75f9cb299f33ac5d62f34d50b5df36c11b3

Observation b6ed7df8-9694-4c4c-aab6-d106a7890a98 · outbound

This paper cites Compact 3d gaussian representation for radiance field.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Compact 3d gaussian representation for radiance field

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.366378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:ec3ed328a4336d1a5ab7b17b1b29edfeb35f39de51ea538b9e71ddffbdea8586

Observation 0fc8d076-ea1c-4fd8-a361-e09fa009791b · outbound

This paper cites Maskgaussian: Adaptive 3d gaussian representation from probabilistic masks.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Maskgaussian: Adaptive 3d gaussian representation from probabilistic masks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.392376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:9c12a82a0840ec9ff92a6456c47be88735cc35820eb19054367d952f8089e678

Observation f6656130-8dfe-4185-8dcf-7fa27742108f · outbound

This paper cites Lightgaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ FPS.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Lightgaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ FPS

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.368899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:bc6e88a2671478d460d6c31c485447e6fbfa6b2220075059dc48c65dc73c7f3c

Observation 2f3ce304-bf05-4d88-8a65-13a0c4406474 · outbound

This paper cites Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.398235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:bb0646f6644df5873ea71caa0cb9ca3c0a204ad4b3450614d3f7b87fac1e0b30

Observation 2ec2e6d3-0712-4f5b-8572-37d67d81ab9f · outbound

This paper cites Bad-gaussians: Bundle adjusted deblur gaussian splatting.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Bad-gaussians: Bundle adjusted deblur gaussian splatting

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.453517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:0fb87dd26f187f9636cc13c4bb25390bd689cfb95e0f009e53b4c306817bce22

Observation 00a86157-332f-46f9-80b2-403d078fbaea · outbound

This paper cites Motion-aware animatable gaussian avatars deblurring.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Motion-aware animatable gaussian avatars deblurring

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.428592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:2a182b6164ded1f3710bb9bbc17415f1605d4241c13e367a007b996bcba72e4d

Observation de780366-1b90-4e0d-8f85-7ee182cd940a · outbound

This paper cites Dp-nerf: Deblurred neural radiance field with physical scene priors.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Dp-nerf: Deblurred neural radiance field with physical scene priors

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.469566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:7f29f94c1e7275b123060375da7e38cbcca4b0a0fbf6590b76cfd5ea058e90cf

Observation feec92a4-c574-4bd1-ad31-0ed3e8cb591e · outbound

This paper cites Dof-gs: Adjustable depth-of-field 3d gaussian splatting for refocusing, defocus rendering and blur removal.The IEEE / CVF Computer Vision and Pattern Recognition Conference.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Dof-gs: Adjustable depth-of-field 3d gaussian splatting for refocusing, defocus rendering and blur removal.The IEEE / CVF Computer Vision and Pattern Recognition Conference

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.424103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:302c823c6619498d95aed5c4270977d0ba460691f291ee34cead0ed6beb02b28

Observation 17bcd5a0-1782-4e27-a32f-a8dc25e353a3 · outbound

This paper cites Srinivasan, and Jonathan T.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Srinivasan, and Jonathan T

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.448805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:a98609cc10e341592aebb28e41b7fe326b62f6453e8210343243cbbd2d160380

Observation 89c57c9f-9334-4a48-af7b-b42013beed04 · outbound

This paper cites Physics-based noise modeling for extreme low- light photography.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):8520–8537.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Physics-based noise modeling for extreme low- light photography.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):8520–8537

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.442105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:76b436b803340a7b09986df35fbd88789da61205aba410cb0d8208fc2a30e452

Observation 152a98f0-1579-43e6-b907-e5aa7618aaf0 · outbound

This paper cites Fisheye-gs: Lightweight and extensible gaussian splatting module for fisheye cameras.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Fisheye-gs: Lightweight and extensible gaussian splatting module for fisheye cameras

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.439197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:ddc335267624444f02ae0097677eddc37ed51c82cd2afc0e08b8b5f2ebde1cec

Observation 9e185a7f-8a0f-4c7e-bb75-c867e1f58e37 · outbound

This paper cites 3dgut: Enabling distorted cameras and secondary rays in gaussian splatting.Conference on Computer Vision and Pattern Recognition (CVPR).

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation 3dgut: Enabling distorted cameras and secondary rays in gaussian splatting.Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.438872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:6b5a7b43a9a4c3ab9ba12a521f8252b00d613af51c460d7c76adad5f2ad43d86

Observation 238675a7-d254-4722-8eb4-bd06bb8bf46a · outbound

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

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Depth Anything 3: Recovering the Visual Space from Any Views

Reference 71

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T17:14:57.266404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:908465f03e2e5ea1587dce33c4b8beba77f9bef967ab9654e9ae67bb8eee50ee

Observation 685fc98b-afd4-461a-9aa7-89e6de494ff6 · outbound

This paper cites Structure-from-motion revisited.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Structure-from-motion revisited

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.380467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:b391e8c120a2014c609d601a3eced9f3e2c14e002ff3f352b58d2ab527409069

Observation 302bec29-bcbd-4c05-9b60-1c0fca4edd72 · outbound

This paper cites SAM 3: Segment anything with concepts.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation SAM 3: Segment anything with concepts

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.444482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:e65a45b60e010b2fd87a62cc035601a071f7b4fca6ec9a92a1084d28ca3d304d

Observation f29c6621-1171-4510-bd04-3b6b4e964f92 · outbound

This paper cites InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:57.269413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:572adf0d56134d4f9cc1974090c2459d98dbc3cf70163b50691cc7739f8f1e02

Observation deb0b5d4-12c1-45aa-be25-2ff3b77513fa · outbound

This paper cites Ma- pAnything: Universal feed-forward metric 3D reconstruction.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Ma- pAnything: Universal feed-forward metric 3D reconstruction

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.447542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:8351415099b891e5a868e98602aa727e502f1ea7ec88ed7cc91e0642e86a11a4

Observation d56c831c-9312-418d-b6c1-57683cb6115e · outbound

This paper cites Heartfelt – Shadertoy.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Heartfelt – Shadertoy

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.450387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:431b3ce330f2fecfe5dcd3b671d68ddef23e3752c9e55ebe8a6f830015190d29

Observation b76e10af-9ca7-4bc0-9c5a-881a00576e41 · outbound

This paper cites Introducing GPT-5.4.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Introducing GPT-5.4

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.452881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:615785f4457fca378b67e3ce8bcb898273926b306f532b2a55cb17337306d3eb

Observation 464c328c-ae8e-4956-b9e8-537451017d0f · outbound

This paper cites Gemini 3.1 pro: A smarter model for your most complex tasks.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Gemini 3.1 pro: A smarter model for your most complex tasks

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.417113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:b00aabf7549eca9bab1518537a70273524449616745af4573e5a0435f3e43a9a

Observation 6b02a344-a78e-414e-8051-653038e44566 · outbound

This paper cites Gemini 3.1 flash-lite: Built for intelligence at scale.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Gemini 3.1 flash-lite: Built for intelligence at scale

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.419924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:d7dd1107e348faeb4fe7504b623e17ff67fc5d49ba20ff0e5caabfc81feaa13f

Observation dadb760b-21bd-4d3d-97ca-e3f3a2ceeb8b · outbound

This paper cites Introducing claude sonnet 4.6.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Introducing claude sonnet 4.6

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.425889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:869f1aeb6136bb809a7e163f19574ed621521c9e60210929b7352ec008465127

Observation 150b52b9-0eda-4bc6-a936-ef4599ebc955 · outbound

This paper cites Llava-onevision-1.5: Fully open framework for democratized multimodal training.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Llava-onevision-1.5: Fully open framework for democratized multimodal training

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.431237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:3953954e6d3290ac4ab542d06f81756ed868b31521721f6abd49ca197918197b

Observation db4172a7-00ed-4ed0-a708-ea6d394cf987 · outbound

This paper cites Ace-brain-0: Spatial intelligence as a shared scaffold for universal embodiments.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Ace-brain-0: Spatial intelligence as a shared scaffold for universal embodiments

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:57.247459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:25da5b443e7a125d35943b437c372a295a298bf75d6496df3470c200b7314364

Observation 73cf9d03-6864-4f7f-98a9-b01536f97980 · outbound

This paper cites Rynnbrain: Open embodied foundation models.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Rynnbrain: Open embodied foundation models

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:57.241934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:de841676e9cab519413c6fd2867f39fb25011358770bbdf2228b2d0834409b8b

Observation 960496a2-7303-4411-b999-42ed409a5b33 · outbound

This paper cites Has gpt-5 achieved spatial intelligence? an empirical study.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Has gpt-5 achieved spatial intelligence? an empirical study

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:57.244783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:8b8883f800ba5bec5bc909b9bb031b25819680d4925054b7575a3ae11e129289

Observation 9d1be8c1-cbf8-4043-a646-6e64429552e7 · outbound

This paper cites Vlmevalkit: An open-source toolkit for evaluating large multi-modality models.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Vlmevalkit: An open-source toolkit for evaluating large multi-modality models

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:54:50.408495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:d0c665612224267f22bb6a292627dc55d34418ca3dee6407be37b05ac642f38b

Observation 4dd9df63-551f-4cbb-9168-ac34b9230f3c · outbound

This paper cites LL”, “MB.

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation LL”, “MB

Reference 86

Resolution
malformed identifier
raw_fallback, observed 2026-07-08T10:54:50.414368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:07:49.005419Z digest=sha256:5b09537fa1983d196cc55203c8c67181bb406ef7a1276d3de5ce1c6bf688c0a6

Pith citing papers

No inbound Pith citation observations are available.