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Paper Citation Record · LEDGER

GenSpace: Benchmarking Spatially-Aware Image Generation

As of 17 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 2026-08-17T06:30:58.91139+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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no resolver link, observed 2026-08-07T12:21:20.139959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.139959Z digest=sha256:6f58067c3d24c61f646ad7ca72b08d46c9fac956af228d0100f9e69b8faf4b83

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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:20.280978Z digest=sha256:7cbd94f85d93131eaea1c325521f8075af7877f99246be8449dfcdd546d7d33c

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.380572Z digest=sha256:da2b7ae5d502f22466e09982c55b49cb4dd4a75628508cdc66dd9a07cf4ad65e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:20.471921Z digest=sha256:a86a1430eb8c1374e41e24c809e31e028b0aa8760c5a008b7bc409acec51109c

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.559724Z digest=sha256:2447dc77daa5fd2c09b33dedbc57e2d300dda01418c0836eddb9a31836de4462

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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no resolver link, observed 2026-08-07T12:21:20.690901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.690901Z digest=sha256:5f136846dcf321d2dfafe467956fc531ebf65e2ed7ca4b96f7b842b77ca6b934

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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no resolver link, observed 2026-08-07T12:21:20.776296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.776296Z digest=sha256:35ebe86b3edfe83f78aa24121eea581f00bc879b60de59f7e978a8b2e1d7c7a8

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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no resolver link, observed 2026-08-07T12:21:20.914495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:20.914495Z digest=sha256:d95d79f450054d978811e0b0ba4f877a15a2694ee01cfcc41a9d6bf3ff10c4a6

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=sha256:121d2a3ae2c7922ee4693fae38b7c48f12f52d9ff44645a1709cd07f2e65ebc7

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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no resolver link, observed 2026-08-07T12:21:21.163530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:21.163530Z digest=sha256:1058b690eb9bae00ad950e07e9e829c9b0727a666fe70bd50b2ca3c1db23daa5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:21.321145Z digest=sha256:13591758fa2ca66c9c8976ac5d2f0cda71fb064a6152056639c791a5c1c68380

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=sha256:8911a50a0ede315e89e15465993ac56c2cb0380dd09a6d3bac405034408a0bd2

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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no resolver link, observed 2026-08-07T12:21:21.642710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:21.642710Z digest=sha256:492a6a2edebb05ab01eb4a356dfdc1fac3a1cdb402cd9581264722e967087bcb

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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:21.761934Z digest=sha256:4e1c6e402e762c6a805204da9cd5b70b61aea3855ef7eb960ba616dd609c9a3b

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=sha256:45d39fa081dd068a8d0abf1cb6bcfdc237e8f5218d6e864f5511eae98c78e768

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:22.040641Z digest=sha256:aec0677c2a1ca5f99d4078cb9f38eb2700f0ddd97e57763767640b8ee90abf44

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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:22.151813Z digest=sha256:87cefbd1620574dcc870337849acad3f5c5c70726f66034747cb0af11014d72b

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:22.261946Z digest=sha256:d32a3b85395e81075b4e9e0f32d21b5dc4396e0ce720b764dd7353ee4f61f603

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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no resolver link, observed 2026-08-07T12:21:22.355100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:22.355100Z digest=sha256:40c66584463f612aeddb2514979cda379d1f35e835dc5a10c357b1afeb09d832

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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no resolver link, observed 2026-08-07T12:21:22.439109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:22.439109Z digest=sha256:f70ffa7a362de43d2c3e4d51d106284b840edc94c5c89afbee5f596dcd6fb270

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:22.579998Z digest=sha256:68c1d658be224ae6f7eca923b77936cd501fda6f3bbb7bbc1d8c56c0b49e5ad7

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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no resolver link, observed 2026-08-07T12:21:22.689695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:22.689695Z digest=sha256:02a62d9011d1191eddeda03b36977fc574752b68a46fdcb0079f9a50f1f6a98f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:22.790244Z digest=sha256:1b8fdf725ac4982e0004ae42c6fb3c7c7735615d8f314742d996f8cfe0c3b404

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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no resolver link, observed 2026-08-07T12:21:22.902732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:22.902732Z digest=sha256:dfcbca720d45e05c3a23a005009c87bbdef20966a33a252b1b6b62fc9c3b5486

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.002591Z digest=sha256:6b1bd1d5f6a823afa9616e54393a367a2d057e1088420995c57402e515428967

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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no resolver link, observed 2026-08-07T12:21:23.095767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.095767Z digest=sha256:fba42424a80fa7b0a87e7f0dc5111ea2bee7a9d9d2d7f54c3fb068ae3779c06d

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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no resolver link, observed 2026-08-07T12:21:23.182573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.182573Z digest=sha256:5d86384da7c6dab576e6495873ccee358c8175a76f8569f900c9a4dd49e5f6d4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:23.279789Z digest=sha256:9930fef892b5c69a5deed89db40eab5dba4a073e473ec14bcc483c45886bd56a

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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no resolver link, observed 2026-08-07T12:21:23.379583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.379583Z digest=sha256:77acc7550fcc0072054bbb65ee1bdc1e759a1d5bb66e1bb7e8868f591cdb3eda

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.430712Z digest=sha256:77254b354e4b494433608e265c8bd874e255104e362a177695a88a187f06b1bd

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:23.564403Z digest=sha256:cca3e40a8555a9d1d570f4e64c774c70cc2643394405164622dc89b5589fcacc

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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no resolver link, observed 2026-08-07T12:21:23.656105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.656105Z digest=sha256:1095662a4f765529c414c20257e50b32edaed20978ed68f40efcc9906620fe79

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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no resolver link, observed 2026-08-07T12:21:23.733768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.733768Z digest=sha256:a6c79b3cdf307060625ca1ac1eb715a6848c7c98e49c35b34d7c4ecd438ae2ef

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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no resolver link, observed 2026-08-07T12:21:23.836081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.836081Z digest=sha256:e1fbb81e2c18b47e16db7a4c959a894372892533f4b0d56f8f48645461f7822f

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:23.919192Z digest=sha256:2dfe44ee69ee18c76e699ee5168648c5668b721d268ded201f259d91aa2c10eb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:24.041361Z digest=sha256:0364d9223f87dc9cb77988a86f78e8b89b593f92cc903318dfd7877381ec4cd3

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

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source=pdf_text observed=2026-08-07T12:21:24.138663Z digest=sha256:1ba654d8b012152c29f4a8476407d33cb69fd2b000ba78c50bb6f86352f1fb3f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:24.226161Z digest=sha256:90ce97ad9477e00e4b26672b5b17ecbcebed1f1692a0695ebbf4a1cc0f493cfa

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:24.339565Z digest=sha256:26190e9c948e9a5531743a00e24886a87298c9c5030fa578e5d7272073742288

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:24.436992Z digest=sha256:8fa4bc47799923af5bb68277ada52d96671d44b570dcc40d31499bbd493f3b32

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=sha256:8345460b4317a883dbcef54406e769fd6a7d328d2ca1b580ae6eae27458a344a

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

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source=pdf_text observed=2026-08-07T12:21:24.611747Z digest=sha256:837b2f97eed8918c6fb4921df433dc0544390231e80a6ec870b25c3623ea2a4b

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:a6c28062a944d102ad064ab0d86d29154ac1f96af9135a4478bf9b6b8ef719a1

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=sha256:08c4a498081778d840957757fce4dc2e90672b81190f3989bfb63c1a5ac799b2

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=sha256:718525c30277c16d1adac0da5346c6bb93e035ab0638ce352e1b8420643b15f9

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=sha256:0fe9f0d3dda3b3abc1719a933913d711cfa51d1f2e32fee43dd3bf9c5d9f2043

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:a494835a6b56d983fc52cc43bd21fc1bbb683467ad0b7ed16e3b6f159924d6b2

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.090599Z digest=sha256:9634f81c7d7235c3188003f66a585fd67f52dcd70ebfc9eb23e26820986ba718

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.158919Z digest=sha256:75e146088ed9faa8fc5db72f222329328ab7b71253e7e5949387acc25fdc39c6

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=sha256:278a07069139742fa2c4fe9b862d6e69746d3fda39d355542997e38f64b798a5

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.344505Z digest=sha256:4f415aec6e69608c60ef22fd104f09584467e80b12e770d75f539528e1265a1d

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.420657Z digest=sha256:0737fe2255cefe8d4cbbfa56532f93492be9b3812b813f98348b17a9d25ca528

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:21:25.552279Z digest=sha256:3b6df508c33d87b76eec3bc56fe1dd5ed9049121b59806178dbe3969b4f860e9

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=sha256:4d275f3a1747f80eb8d6e7f3107045f031af88216af93453d6ad1cd0bbd823aa

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:25.729981Z digest=sha256:16aaadbd6d87abb11d496e5711a1ca6e65d31b970fbc4c8e5cfd58014c78b0e3

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:25.818565Z digest=sha256:f6f2f5873e4aa4bce1518bf7a6db3cbdadcebee4d90e30425553643164b06368

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=sha256:689a1e92571a4bb120675aa1d32245157156f28c9fd0487617ccadab14d451b4

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=sha256:9ed11966ed1ad375f34d6070b52b87771ecd6397005fd43927527b1a972344fd

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=sha256:5ad4221e69e26da2b2e6814671f0d3ea043e1d21f8c5ddb09f166ab47c9b00a2

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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no resolver link, observed 2026-08-07T12:21:26.230334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:26.230334Z digest=sha256:98ed06aa82be19904fcda395aefb5127f4db60e369195fbaf049401b67dc6781

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:26.342807Z digest=sha256:75a555596f55311f037a1e8b8768680dedfb079e53036380b929ef08b678987d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:26.422478Z digest=sha256:26646bd42fd85f7644d47d02ccf7777dd57737b95e64a63d8cbe523691bb797b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:26.528288Z digest=sha256:b3ece94c740dc3d61b4e9dc91a68773642c23b7536ec76f0e4ad9306a36952c0

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=sha256:2b2458ad4fe1a4a3c181b055f46af933764c9e56279ec99c72c5dc419fa07c6f

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=sha256:5983eb4fbf1140a523cb4651d6bfa3ebbedb0f8f65c02f3fb04e89598a4a23f3

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:d2d2271112677e3d0c2ec29209dc71ddaaf8e18eddf1c1014e0865f5893291e0

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=sha256:1919382e6ac0d5fcdd0bd388c6ce28f75f5c16984941ec0b9d6ea951a0335bf2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:27.002761Z digest=sha256:186d382067a8f222828aab11c034623a9c12d8fb2059e7dc360d80a1ba0d5d8c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:21:27.112050Z digest=sha256:34b254fdb0c325df583df3e6829c49af122ff413d694f96cc04b9057f2132d17

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T00:45:46.261005Z digest=sha256:a00c9e17c10d169f9c93e8d943099a92d58692d22902308b9b4e59e0aa372a79

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T13:45:53.346402Z digest=sha256:f4cfaa9c3642fb652b23634df4fbbfacb10f9d02bcbd8b6dcf3e491b144a0493

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T05:29:42.024146Z digest=sha256:cc163895176c9c61193de7434e7c13e6f5565a63cbd4e5a3f48dbb25a998274f

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:ec9f154dbd68e2db03b6f73f790bc18b4e143a50d5cc8907c6291424c50bb81a