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Paper Citation Record · LEDGER

GenSpace: Benchmarking Spatially-Aware Image Generation

As of 7 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 4 inbound Pith citation observations for arXiv:2505.24870.

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

pith.paper-citation-record.v1
2505.24870 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:21:27.112050Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:10:09.300722Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:50.420268Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b46af2fd-fbb0-42e1-92d6-c575cc83a5d9 · outbound

This paper cites Univ of California Press, 1972.

GenSpace: Benchmarking Spatially-Aware Image Generation Univ of California Press, 1972

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.139959Z digest=sha256:5bf902428a696d95777c7171595501105fa7d6097353bf7d74f6b036ddd14f24

Observation cfdd0717-c7bf-4037-ba62-4d21abcb9792 · outbound

This paper cites artificialanalysis, 2025.

GenSpace: Benchmarking Spatially-Aware Image Generation artificialanalysis, 2025

Reference 2

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raw_fallback, observed 2026-08-07T12:21:31.805827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:20.280978Z digest=sha256:232c41d04ea916c28a90ef105ba029a96bef2e5fbe55bbfa5300fe99b2fa8c64

Observation 6f9e14a5-2366-4fab-88a5-30bdeb56c20a · outbound

This paper cites Qwen2.5-VL Technical Report.

GenSpace: Benchmarking Spatially-Aware Image Generation Qwen2.5-VL Technical Report

Reference 3

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source=pdf_text observed=2026-08-07T12:21:20.380572Z digest=sha256:b83975845a3755326b2ffad5c5638f9127310d44f6fd13d6b850a80459e894e4

Observation 1f4a59bd-d0cb-48a8-a937-81c74179908a · outbound

This paper cites The state of the art of spatial interfaces for 3d visualization.

GenSpace: Benchmarking Spatially-Aware Image Generation The state of the art of spatial interfaces for 3d visualization

Reference 4

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raw_fallback, observed 2026-08-07T12:21:31.624662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:20.471921Z digest=sha256:021e25f6dd237f47f2f4594a022b7633558d5cbc6175463f02765012f8b762bf

Observation 16533d03-3ea7-4269-a335-7bd48ca13f95 · outbound

This paper cites Improving image generation with better captions.Computer Science.

GenSpace: Benchmarking Spatially-Aware Image Generation Improving image generation with better captions.Computer Science

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:21:20.559724Z digest=sha256:834b827d1238be985b6c60cf726b328911521106777687feaae9f413095114e1

Observation 98caf435-875f-4f05-be14-bb37cb081ff7 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

GenSpace: Benchmarking Spatially-Aware Image Generation Instructpix2pix: Learning to follow image editing instructions

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.690901Z digest=sha256:fe7efe3628b629642da9557850cd4fa2e360f703ee3fafbdc3e9c25174f4483a

Observation 448e6dee-853a-4972-b6fc-0995678be19c · outbound

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

GenSpace: Benchmarking Spatially-Aware Image Generation Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.776296Z digest=sha256:2ed9bdfb26b7caf1bf8f4cdab3e073f708bd6dd972183b2b6abf22362ef81e56

Observation eaf3a9d2-5463-4376-a6bc-5326c43abcfe · outbound

This paper cites SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models.

GenSpace: Benchmarking Spatially-Aware Image Generation SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.914495Z digest=sha256:b8f01bd0ee007beef02904ded701b7d40b03981002827059bac64872e7e2f14b

Observation 9c6e516c-9dcf-4d19-a551-e38fe52cd7e7 · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

GenSpace: Benchmarking Spatially-Aware Image Generation Emerging Properties in Unified Multimodal Pretraining

Reference 9

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no resolver link, observed 2026-08-07T12:21:21.025185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:21.025185Z digest=sha256:45eb1e6af4d507c2ebd46a326f719eeb4344707de81ac49a79c571bf0ff9a96f

Observation 7d18ac92-a9f6-4c43-873b-89900e87456a · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

GenSpace: Benchmarking Spatially-Aware Image Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 10

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source=pdf_text observed=2026-08-07T12:21:21.163530Z digest=sha256:05b340b2f84604c2609fc006ae4dfa204eea5d6e30da7f0dedfe457c0c773c08

Observation 75df68fc-7fed-43f7-b2bb-caf9d7928da4 · outbound

This paper cites Routledge, 2017.

GenSpace: Benchmarking Spatially-Aware Image Generation Routledge, 2017

Reference 11

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raw_fallback, observed 2026-08-07T12:21:31.437732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:21.321145Z digest=sha256:cb3464ce872a96547aaa23f02eca2d17c598eee3010f5b9f62e3531cdae93f90

Observation 5042c595-d8b2-4957-8d6e-e989a06c2c7b · outbound

This paper cites Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?.

GenSpace: Benchmarking Spatially-Aware Image Generation Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:21.501770Z digest=sha256:381281e232512833e16bfb04556aa6d7d5f3209115f46c157c3187327afaafe3

Observation 8e498051-2301-4bdb-b254-b046d6132a46 · outbound

This paper cites Seedream 3.0 Technical Report.

GenSpace: Benchmarking Spatially-Aware Image Generation Seedream 3.0 Technical Report

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:21.642710Z digest=sha256:40d724c4c5f5236493eff8624f88f7bb66c56a62372af4208e109aabca659961

Observation c5fe5d6f-44f1-43fe-9589-ab1349030bfd · outbound

This paper cites Interaction strategies for effective augmented reality geo-visualization: Insights from spatial cognition.Human–Computer Interaction, 36(2): 107–149, 2021.

GenSpace: Benchmarking Spatially-Aware Image Generation Interaction strategies for effective augmented reality geo-visualization: Insights from spatial cognition.Human–Computer Interaction, 36(2): 107–149, 2021

Reference 14

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raw_fallback, observed 2026-08-07T12:21:31.281855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:21.761934Z digest=sha256:2fdf4a6c422f7419a251d22ba43f9f35525f03a75a4f148f146b98adf09ef99e

Observation 54641fec-4982-4259-992d-f56ea187a7a7 · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023.

GenSpace: Benchmarking Spatially-Aware Image Generation Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:21.902276Z digest=sha256:7703dac6612a5bbbce9683c8de884d8971635f1712a8e77f42d2660e95c3d6cd

Observation 200400af-27cf-4f8a-a99f-cb20d10f8f09 · outbound

This paper cites Gemini-2.0-flash, 2025.

GenSpace: Benchmarking Spatially-Aware Image Generation Gemini-2.0-flash, 2025

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T12:21:31.051201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:22.040641Z digest=sha256:660e5d7117c79dae0ad4a76f9ae2fb85b3ee930d704238ed429c0f60b693c7cf

Observation b99dd7ac-c942-44bb-b8cf-35172382d5a4 · outbound

This paper cites Gemini-2.5-pro, 2025.https://deepmind.google/technologies/gemini/pro/.

GenSpace: Benchmarking Spatially-Aware Image Generation Gemini-2.5-pro, 2025.https://deepmind.google/technologies/gemini/pro/

Reference 17

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raw_fallback, observed 2026-08-07T12:21:30.870218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:22.151813Z digest=sha256:23835421a7f709bc0bdc9e80208916579b50dc2d96b627684bce4b87a78d54b9

Observation c03f88bd-a509-44cc-9470-9b040d18bf9d · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

GenSpace: Benchmarking Spatially-Aware Image Generation Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 18

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:21:22.261946Z digest=sha256:df3e0fdef9e8e63bdafbee11b2023333d18a17eeb404352104ba9726fa3c0123

Observation 6bdeaf89-f347-41ab-9c82-7d19a165efa7 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

GenSpace: Benchmarking Spatially-Aware Image Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 19

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:21:22.355100Z digest=sha256:9e118e9ddc9ecf6c9f7a3d7faa867f7c5bba32b081ba9ef23fe2682fc284ef17

Observation efda6c62-e141-41bb-9935-f449b285812a · outbound

This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.Advances in Neural Information Processing Systems, 36:78723–78747, 2023.

GenSpace: Benchmarking Spatially-Aware Image Generation T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.Advances in Neural Information Processing Systems, 36:78723–78747, 2023

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:22.439109Z digest=sha256:d9a8daf7c03aa1886d61416afdebdaa04956012250fc386c3c68d26ba3920bc9

Observation 39b547ff-6312-48e7-a7e4-d2e7910423f7 · outbound

This paper cites T2i-compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

GenSpace: Benchmarking Spatially-Aware Image Generation T2i-compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-07T12:21:30.690958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:22.579998Z digest=sha256:2016654d52e7294305c81dcb40c64f66390fc75c58bbddf5bf39cb5bcac3a738

Observation 29bd3261-7207-4e99-acb3-46205719e5cf · outbound

This paper cites Composer: Creative and Controllable Image Synthesis with Composable Conditions.

GenSpace: Benchmarking Spatially-Aware Image Generation Composer: Creative and Controllable Image Synthesis with Composable Conditions

Reference 22

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source=pdf_text observed=2026-08-07T12:21:22.689695Z digest=sha256:37e2230cf94116548f0d58764044a7ec621afa0088aa6c44682c0f51e1c07283

Observation be4a7820-a7d8-41e3-8cde-fc27da6bb05d · outbound

This paper cites Perspective fields for single image camera calibration.

GenSpace: Benchmarking Spatially-Aware Image Generation Perspective fields for single image camera calibration

Reference 23

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raw_fallback, observed 2026-08-07T12:21:30.510813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:22.790244Z digest=sha256:56555cccf05f55547fada50afe185a5d85c0afba570c383f2cf5626e4706760e

Observation c846080e-c2a4-4324-87e1-1924d2fbd59b · outbound

This paper cites Segment anything.

GenSpace: Benchmarking Spatially-Aware Image Generation Segment anything

Reference 24

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:21:22.902732Z digest=sha256:004fed2d5711bbd6ca960e05a2c7eee701533cf81350d49a1fb03af2f22c6d5b

Observation f9390b6f-1d6e-4fe7-ad0f-8c14b5529d29 · outbound

This paper cites Pick-a- pic: An open dataset of user preferences for text-to-image generation.Advances in Neural Information Processing Systems, 36:36652–36663, 2023.

GenSpace: Benchmarking Spatially-Aware Image Generation Pick-a- pic: An open dataset of user preferences for text-to-image generation.Advances in Neural Information Processing Systems, 36:36652–36663, 2023

Reference 25

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source=pdf_text observed=2026-08-07T12:21:23.002591Z digest=sha256:615f9b3ded129740a6f241f9e9b6777d7b059ea4ea3a87bedaec197dcee310e6

Observation 810b3a23-5e6f-49ab-9835-2a12b4fd7227 · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2024.

GenSpace: Benchmarking Spatially-Aware Image Generation Flux.https://github.com/black-forest-labs/flux, 2024

Reference 26

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source=pdf_text observed=2026-08-07T12:21:23.095767Z digest=sha256:704d0a9cde553b561cd967e7c211b66a902edb4968cba82d158d97d028e6fe2d

Observation 0ba3e372-9816-449e-8acf-d4a831eb2ab6 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

GenSpace: Benchmarking Spatially-Aware Image Generation Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 27

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:21:23.182573Z digest=sha256:4001781c1d4efe84dd26797d2c569f68c2465a9ca62bc866a1949850bab110a8

Observation 75e43270-0f7d-43fe-b33c-56179ae1806c · outbound

This paper cites Evaluating text-to-visual generation with image-to-text generation.

GenSpace: Benchmarking Spatially-Aware Image Generation Evaluating text-to-visual generation with image-to-text generation

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T12:21:30.331628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:23.279789Z digest=sha256:2a411bc7c0d691f663f72bd31c081f0770021cbbcc72411c54e8032587ba4709

Observation eafc1697-b812-446d-afac-e42599339342 · outbound

This paper cites Flow Matching for Generative Modeling.

GenSpace: Benchmarking Spatially-Aware Image Generation Flow Matching for Generative Modeling

Reference 29

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source=pdf_text observed=2026-08-07T12:21:23.379583Z digest=sha256:ddd5c71600d50e6b78b1a2385d3cd672f8c2d2c44d3a8d9975fb801cb5b062da

Observation 73cc255d-0bb3-46b4-8804-2be266a7ceba · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

GenSpace: Benchmarking Spatially-Aware Image Generation Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 30

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no resolver link, observed 2026-08-07T12:21:23.430712Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:21:23.430712Z digest=sha256:465ef9666f46f5127a283b6e23c6339965eb9428f4e56ce4a2a17b1df4e1c563

Observation ba8a2a71-5919-499c-b7fd-d1cef9bbb745 · outbound

This paper cites Improving Long-Text Alignment for Text-to-Image Diffusion Models.

GenSpace: Benchmarking Spatially-Aware Image Generation Improving Long-Text Alignment for Text-to-Image Diffusion Models

Reference 31

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verified exact
local_arxiv, observed 2026-08-07T12:21:27.679632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:23.564403Z digest=sha256:e15e7bc4f34c2ce4fcf230fce7b8716861442b1573d756a0ce55abf49a1522f1

Observation e8eec2dc-570e-4570-98ed-b82966dfe8b8 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

GenSpace: Benchmarking Spatially-Aware Image Generation Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 32

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:21:23.656105Z digest=sha256:9236bf2a30475780d97a6ba13dc3b74cf976d823457099a6dee44062eabe68e7

Observation 2b7cc815-f909-4904-80e2-ef49e217350d · outbound

This paper cites Step1X-Edit: A Practical Framework for General Image Editing.

GenSpace: Benchmarking Spatially-Aware Image Generation Step1X-Edit: A Practical Framework for General Image Editing

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.733768Z digest=sha256:df54ffa4e631c36b70e793b2b5617507ba7079ee039eaef0d23da4992997db82

Observation 216c5aed-8743-40a1-989c-89e5ed6623a3 · outbound

This paper cites 3dsrbench: A comprehensive 3d spatial reasoning benchmark.arXiv preprint arXiv:2412.07825, 2024.

GenSpace: Benchmarking Spatially-Aware Image Generation 3dsrbench: A comprehensive 3d spatial reasoning benchmark.arXiv preprint arXiv:2412.07825, 2024

Reference 34

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:21:23.836081Z digest=sha256:3f40b42d8379ac27c402c29e1902b6222ce3807abb68dc9ac070870df5c171bb

Observation c316e543-6c85-4442-af8e-b75ae5e6ae74 · outbound

This paper cites PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models.

GenSpace: Benchmarking Spatially-Aware Image Generation PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models

Reference 35

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source=pdf_text observed=2026-08-07T12:21:23.919192Z digest=sha256:c867ddd725744bc61d4a3df45fc428d98ef2ffd671413bea909b2317b0a233f1

Observation 8cae6b39-964e-4e48-96cb-52b1f01eabe8 · outbound

This paper cites Hands-free interaction in immersive virtual reality: A systematic review.IEEE Transactions on Visualization and Computer Graphics, 27(5):2702–2713, 2021.

GenSpace: Benchmarking Spatially-Aware Image Generation Hands-free interaction in immersive virtual reality: A systematic review.IEEE Transactions on Visualization and Computer Graphics, 27(5):2702–2713, 2021

Reference 36

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raw_fallback, observed 2026-08-07T12:21:30.152161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:24.041361Z digest=sha256:fc49cb999dcd1444a882b1436a43a320343df9c40f92c0059141b108fa504923

Observation 3d441313-ed6c-4758-abb1-3e117e947a75 · outbound

This paper cites WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.

GenSpace: Benchmarking Spatially-Aware Image Generation WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:24.138663Z digest=sha256:07090c037034d0fef23d70ef68258c3e56205301b1021ca9ffd9d43aaa060869

Observation e5009608-ba5a-40b2-ab86-8a59f8085f66 · outbound

This paper cites Gpt-4o, 2025.https://openai.com/index/introducing-4o-image-generation/.

GenSpace: Benchmarking Spatially-Aware Image Generation Gpt-4o, 2025.https://openai.com/index/introducing-4o-image-generation/

Reference 38

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raw_fallback, observed 2026-08-07T12:21:29.931517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:24.226161Z digest=sha256:0b59cb2d86dcd259b7517b201501f8ffdd6b536cca1fdef95deb553e3156764a

Observation 93bd714e-7be7-4162-bd35-8465ea7ce1d4 · outbound

This paper cites Gpt-o3, 2025.https://openai.com/index/introducing-o3-and-o4-mini/.

GenSpace: Benchmarking Spatially-Aware Image Generation Gpt-o3, 2025.https://openai.com/index/introducing-o3-and-o4-mini/

Reference 39

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raw_fallback, observed 2026-08-07T12:21:29.688950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:24.339565Z digest=sha256:45d84d54052437e6cc4d57bcad46ce8f42d8ed9a74839c1c9487628fc0f1f747

Observation 1fa1556f-c724-4629-84c4-fd42fad2479a · outbound

This paper cites Diffusion handles enabling 3d edits for diffusion models by lifting activations to 3d.

GenSpace: Benchmarking Spatially-Aware Image Generation Diffusion handles enabling 3d edits for diffusion models by lifting activations to 3d

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-07T12:21:29.367092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:24.436992Z digest=sha256:347d8643896cbb56acdf63972eee75e28ab141df033178a16bddaf303221e39c

Observation 5138a52d-a751-4369-839f-59018ebc1c6f · outbound

This paper cites Scalable diffusion models with transformers.

GenSpace: Benchmarking Spatially-Aware Image Generation Scalable diffusion models with transformers

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:24.513458Z digest=sha256:07a3c5cf5362f97c0c8a0bb9a32d53818bf453df6285df52753a004f8b09724c

Observation 724df505-a9df-475f-a883-23efe1c4a75f · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

GenSpace: Benchmarking Spatially-Aware Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:24.611747Z digest=sha256:5393b7e69a92e98d3303324414cdc7722a97eb35d84b84cb4a50522a91819c97

Observation 975044c5-66b2-478a-b910-2082cae1b4fe · outbound

This paper cites Learning transferable visual models from natural language supervision.

GenSpace: Benchmarking Spatially-Aware Image Generation Learning transferable visual models from natural language supervision

Reference 43

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no resolver link, observed 2026-08-07T12:21:24.710721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:24.710721Z digest=sha256:64dcc03f2f2a7f0dc93d053f1e9db17ab73bfec5d8ec9f5ee3bb994ce29e9e02

Observation 89639ab5-5079-4828-a8dc-149077824f5a · outbound

This paper cites Does Spatial Cognition Emerge in Frontier Models?.

GenSpace: Benchmarking Spatially-Aware Image Generation Does Spatial Cognition Emerge in Frontier Models?

Reference 44

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no resolver link, observed 2026-08-07T12:21:24.796187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:24.796187Z digest=sha256:1706fc4e3a0e4567317e86f914bec92cdc1f61797aadf052256f723c5f4800e0

Observation 65164d93-b13b-4d21-b6ce-9e5328f38f08 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

GenSpace: Benchmarking Spatially-Aware Image Generation SAM 2: Segment Anything in Images and Videos

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:24.876288Z digest=sha256:821127b676b892cc80907b653f46ec1dc9ab91097020dcef4494df3d4c7e9941

Observation f15429ec-5438-4ae4-a8f4-c415be0e5e19 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

GenSpace: Benchmarking Spatially-Aware Image Generation Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 46

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no resolver link, observed 2026-08-07T12:21:24.946005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:24.946005Z digest=sha256:7075a1dcb5c40d43d6c22d8cb86ec881c35a278444878c3aa87393cb3d5b0a14

Observation 3982acb9-1a81-41dd-a817-ec747de379eb · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

GenSpace: Benchmarking Spatially-Aware Image Generation High-resolution image synthesis with latent diffusion models

Reference 47

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no resolver link, observed 2026-08-07T12:21:25.017477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.017477Z digest=sha256:6e27806be2d2438a3083ac74edc6cda3fa87d650abf7b41a8a380cfd1cf9ef95

Observation 7198bf91-2ed5-4f49-805e-485685938b60 · outbound

This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29, 2016.

GenSpace: Benchmarking Spatially-Aware Image Generation Improved techniques for training gans.Advances in neural information processing systems, 29, 2016

Reference 48

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no resolver link, observed 2026-08-07T12:21:25.090599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.090599Z digest=sha256:f275235f8c290e4a6563121c45ab7b3b5556cc46b45ba83635909ea691350c88

Observation 5179dcb2-693c-498c-938e-c587b1f80307 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022.

GenSpace: Benchmarking Spatially-Aware Image Generation Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022

Reference 49

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no resolver link, observed 2026-08-07T12:21:25.158919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.158919Z digest=sha256:c342d3f7e3e63b27919f991f96cca1d4602b647aeadf2b966406c2b0526358fe

Observation 55761e5b-7922-4a03-bc9e-c880f61dcb1f · outbound

This paper cites SeedEdit: Align Image Re-Generation to Image Editing.

GenSpace: Benchmarking Spatially-Aware Image Generation SeedEdit: Align Image Re-Generation to Image Editing

Reference 50

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no resolver link, observed 2026-08-07T12:21:25.265534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.265534Z digest=sha256:d9e576238180ba5552122b5ad15d416b3a921b7a02ae87c6ef1f923c0dc13eb9

Observation f4f0165d-14c5-4572-8790-18a320b70af9 · outbound

This paper cites Evaluating the Generation of Spatial Relations in Text and Image Generative Models.

GenSpace: Benchmarking Spatially-Aware Image Generation Evaluating the Generation of Spatial Relations in Text and Image Generative Models

Reference 51

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no resolver link, observed 2026-08-07T12:21:25.344505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.344505Z digest=sha256:d371b2d3dfd33654d1f176d021a72adaa662d66cc41eef56acbcf66d3802701d

Observation de0bf15a-4c2d-45d6-aca8-764a6e7b4537 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

GenSpace: Benchmarking Spatially-Aware Image Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 52

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no resolver link, observed 2026-08-07T12:21:25.420657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.420657Z digest=sha256:b246823fc442da03f55db4d065b699711db15eaac9159fa769f52389a705031a

Observation 8c96555e-8b81-48d2-b1b5-3dc956516e39 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024.

GenSpace: Benchmarking Spatially-Aware Image Generation Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024

Reference 53

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no resolver link, observed 2026-08-07T12:21:25.552279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.552279Z digest=sha256:437c4aa01b56c551aac3a31c1d9c0f0654fa164f5f4609a1e1aefeca1785adfd

Observation 3c311cfb-3a95-48e4-9241-86dd0325874b · outbound

This paper cites Diffusion model alignment using direct preference optimization.

GenSpace: Benchmarking Spatially-Aware Image Generation Diffusion model alignment using direct preference optimization

Reference 54

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no resolver link, observed 2026-08-07T12:21:25.629620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.629620Z digest=sha256:05185520f089916ba86aa00be33bf9bae2cae6f215c3f7a1c0e3f98206a5cbc4

Observation f78d723d-8c76-496b-9ed4-ef1477c2fc1b · outbound

This paper cites Diffusion models are geometry critics: Single image 3d editing using pre-trained diffusion priors.

GenSpace: Benchmarking Spatially-Aware Image Generation Diffusion models are geometry critics: Single image 3d editing using pre-trained diffusion priors

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:21:29.062674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:25.729981Z digest=sha256:24fde8eaeff06a11fa07ffa178d9aa9f015635ed833cb4d2a89288a5e939f18f

Observation 73cc1680-f8ff-4b61-b0d8-581ff98c6902 · outbound

This paper cites Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models.

GenSpace: Benchmarking Spatially-Aware Image Generation Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models

Reference 56

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no resolver link, observed 2026-08-07T12:21:25.818565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.818565Z digest=sha256:d8fe7f867abd843ee37308bc812a2c921f7ad4ad80f1f8e8a4a4942304c06f6b

Observation eb0590c9-a39a-46d2-b4c8-a14535c1d4f7 · outbound

This paper cites Omniedit: Building image editing generalist models through specialist supervision.

GenSpace: Benchmarking Spatially-Aware Image Generation Omniedit: Building image editing generalist models through specialist supervision

Reference 57

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no resolver link, observed 2026-08-07T12:21:25.920486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.920486Z digest=sha256:c46488a0196e6ca91b24d486953ec29144f8fd934064617d61ff1f7e4f05fbd3

Observation 139c664c-12f5-400f-8446-4918c0e8a111 · outbound

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

GenSpace: Benchmarking Spatially-Aware Image Generation Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Reference 58

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no resolver link, observed 2026-08-07T12:21:26.035619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:26.035619Z digest=sha256:7c14b7ab028b71f1b9f848bad350184a33407eb7e72495edf68e23b88e4f3ab0

Observation 90ca739e-6ff8-4f25-bc48-c6b6614ffa2c · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

GenSpace: Benchmarking Spatially-Aware Image Generation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 59

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no resolver link, observed 2026-08-07T12:21:26.120883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:26.120883Z digest=sha256:41be24b496a5e3713d8de005a45164577d000f4e978fb082785fa93426d5a312

Observation 16264a7c-cc30-41f8-8fbe-8fbe5cc7a133 · outbound

This paper cites Depth anything v2.Advances in Neural Information Processing Systems, 37:21875–21911, 2024.

GenSpace: Benchmarking Spatially-Aware Image Generation Depth anything v2.Advances in Neural Information Processing Systems, 37:21875–21911, 2024

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:26.230334Z digest=sha256:97f91a5af61e160309b9a609c3a704be4d3e1d7e5b4d3d32381e05fd772b7dbe

Observation e12b5993-4dd5-49c4-b548-f8c04ee4552d · outbound

This paper cites Image sculpting: Precise object editing with 3d geometry control.

GenSpace: Benchmarking Spatially-Aware Image Generation Image sculpting: Precise object editing with 3d geometry control

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-07T12:21:28.844374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:26.342807Z digest=sha256:e0cf70346bc69036f894622c2b36a54face8ca60e041a6d2d71f3d36eb0c6faa

Observation f125b5bf-1a08-411e-a9e2-35acbe2bc18f · outbound

This paper cites Gaze-supported 3d object manipulation in virtual reality.

GenSpace: Benchmarking Spatially-Aware Image Generation Gaze-supported 3d object manipulation in virtual reality

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-07T12:21:28.626925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:26.422478Z digest=sha256:c5841ff46a32182da7b775f9889d2e685de8e7f9fc2ee2290589a68a2e5f420b

Observation 1653a25b-9850-4c88-b2cc-c46cabde786a · outbound

This paper cites Routledge, 2017.

GenSpace: Benchmarking Spatially-Aware Image Generation Routledge, 2017

Reference 63

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raw_fallback, observed 2026-08-07T12:21:28.425306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:26.528288Z digest=sha256:ff18b295f115f1ff0776709237ae6b77db8dd7eaf03eceb86f6ac0db95fc3c44

Observation f7db2829-6c3e-4c87-a8c0-f72f42a5f8d1 · outbound

This paper cites Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36:31428–31449, 2023.

GenSpace: Benchmarking Spatially-Aware Image Generation Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36:31428–31449, 2023

Reference 64

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no resolver link, observed 2026-08-07T12:21:26.629052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:26.629052Z digest=sha256:08f2e87f2f24f009fe3bc4238a69b5173abe7f46fc5dd924dfb95ddcf68d4e5e

Observation 3278abbd-039d-437a-818e-e14884c12d94 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

GenSpace: Benchmarking Spatially-Aware Image Generation Adding conditional control to text-to-image diffusion models

Reference 65

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no resolver link, observed 2026-08-07T12:21:26.701661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:26.701661Z digest=sha256:664bacf3ab096e3f77718070799f04e0ab8a8c019f84072a1428e6f49e0668db

Observation 5316e9aa-aa2a-4422-bea9-b113b018d047 · outbound

This paper cites In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer.

GenSpace: Benchmarking Spatially-Aware Image Generation In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer

Reference 66

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no resolver link, observed 2026-08-07T12:21:26.808950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:26.808950Z digest=sha256:58292e4033ef2d6de5eb94f851da7fe424f1234e22669c865f312e40801ddb59

Observation c809b1ae-52e3-4d17-9928-ba1826c2861f · outbound

This paper cites Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities.

GenSpace: Benchmarking Spatially-Aware Image Generation Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities

Reference 67

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no resolver link, observed 2026-08-07T12:21:26.903958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:26.903958Z digest=sha256:adc08d27eac2661942dd3ad3017ef74f32977a2d8642a90198182b9f57fb7311

Observation cbf2cd02-1ca4-42bb-a8d5-e0b534a76426 · outbound

This paper cites Uni-controlnet: All-in-one control to text-to-image diffusion models.Advances in Neural Information Processing Systems, 36:11127–11150, 2023.

GenSpace: Benchmarking Spatially-Aware Image Generation Uni-controlnet: All-in-one control to text-to-image diffusion models.Advances in Neural Information Processing Systems, 36:11127–11150, 2023

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-07T12:21:28.238220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:27.002761Z digest=sha256:726793c758da11e7e647d8440d349117c8713ea2152057caf72c860aaa0052ed

Observation 4b7e23dd-b953-451e-b06c-050557bf65be · outbound

This paper cites right/left view.

GenSpace: Benchmarking Spatially-Aware Image Generation right/left view

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-07T12:21:28.034247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:21:27.112050Z digest=sha256:8716864c9b07e251bd2ba2c3a8dacc1b65ef3315e98a3825761f40318563d142

Pith citing papers

Observation 74f31468-8f91-4b76-b3e6-4ac6cdbab895 · inbound

Exploring Spatial Intelligence from a Generative Perspective cites this paper.

Exploring Spatial Intelligence from a Generative Perspective GenSpace: Benchmarking Spatially-Aware Image Generation

Reference 31

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verified exact
arxiv_id, observed 2026-05-10T00:49:48.814426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T00:45:46.261005Z digest=sha256:50144935dd7aabe52e61bae6276830eb5cbc36a871789153c242059e81e511a7

Observation e353140e-f05d-46e4-90d7-b64f3dd3f317 · inbound

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness cites this paper.

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness GenSpace: Benchmarking Spatially-Aware Image Generation

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:46:26.895339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T13:45:53.346402Z digest=sha256:bb46f5146523c06efe1091d5026de96d29c42cfa548f39262916dbdaef8e132b

Observation 027d0472-c21d-4c93-b7db-da8451aa30b8 · inbound

Do Image Editing Models Understand Lighting? cites this paper.

Do Image Editing Models Understand Lighting? GenSpace: Benchmarking Spatially-Aware Image Generation

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:09:50.422178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T05:29:42.024146Z digest=sha256:00826705f78592154d8b1ed748786163a0e51913dd9b476cde0d208aa52b05f0

Observation 0c9af7a1-ec47-4037-8f84-421a4a828f92 · inbound

Do Image Editing Models Understand Lighting? cites this paper.

Do Image Editing Models Understand Lighting? GenSpace: Benchmarking Spatially-Aware Image Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T10:10:09.300722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:10:09.300722Z digest=sha256:988ab09ddbfed88e8962e770c2e307e29f4fffeae85dcdc77db164a32c40aebb