Paper Citation Record · LEDGER

Compositional Scene Understanding through Inverse Generative Modeling

As of 7 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2505.21780.

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

pith.paper-citation-record.v1
2505.21780 v4

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:31:08.798977Z

measured 71 of 71 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:14:01.979367Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

verified exact3
verified fuzzy23
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b31ca26-b0ed-4157-a0a2-6884242e4bf6 · outbound

This paper cites write newline.

Compositional Scene Understanding through Inverse Generative Modeling write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:03.233292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72888ae0-6451-4d57-a5d6-9b2e39af1e6a · outbound

This paper cites @esa (Ref.

Compositional Scene Understanding through Inverse Generative Modeling @esa (Ref

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:03.271306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db58fc39-6a82-49be-aa34-9451dc3d7862 · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:03.341825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bed0d9c1-e908-4e70-8fd0-1091925d713e · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:31:15.669055Z

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.

Observation 44e67614-41f9-41d0-99ca-206e22cd53c8 · outbound

This paper cites Backpropagation and stochastic gradient descent method.

Compositional Scene Understanding through Inverse Generative Modeling Backpropagation and stochastic gradient descent method

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:15.518102Z

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.

Observation 5c614754-a8ea-46f4-9e99-7873952088df · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

Compositional Scene Understanding through Inverse Generative Modeling SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:03.611392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df89546-87ce-4569-bbb1-c212e565da7b · outbound

This paper cites Break-a-scene: Extracting multiple concepts from a single image.

Compositional Scene Understanding through Inverse Generative Modeling Break-a-scene: Extracting multiple concepts from a single image

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:15.335852Z

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.

Observation 235b3296-d247-4fc6-be10-f2b01069f787 · outbound

This paper cites Towards compositional understanding of the world by agent-based deep learning.

Compositional Scene Understanding through Inverse Generative Modeling Towards compositional understanding of the world by agent-based deep learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:15.099294Z

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.

Observation d444a0d3-fb85-40c2-b20b-cee3d8ecdffc · outbound

This paper cites Recognition-by-components: a theory of human image understanding.

Compositional Scene Understanding through Inverse Generative Modeling Recognition-by-components: a theory of human image understanding

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:14.910518Z

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.

Observation b01a33cc-c4ff-43b5-b85a-a704329e58c5 · outbound

This paper cites A., Kornblith, S., Chen, T., Parmar, N., Minderer, M., and Norouzi, M.

Compositional Scene Understanding through Inverse Generative Modeling A., Kornblith, S., Chen, T., Parmar, N., Minderer, M., and Norouzi, M

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:14.749090Z

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.

Observation 5ab40c78-8d67-44dc-8205-47d9268e16e6 · outbound

This paper cites Your Diffusion Model is Secretly a Certifiably Robust Classifier.

Compositional Scene Understanding through Inverse Generative Modeling Your Diffusion Model is Secretly a Certifiably Robust Classifier

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:04.057874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14f2db2-43ef-419a-a265-24a8110ab24e · outbound

This paper cites Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods.

Compositional Scene Understanding through Inverse Generative Modeling Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:04.154771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2abf83de-89c8-45bb-ba41-68219f1837a6 · outbound

This paper cites Aspects of the Theory of Syntax.

Compositional Scene Understanding through Inverse Generative Modeling Aspects of the Theory of Syntax

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:14.535965Z

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.

Observation 95f45988-d245-44cf-9d13-f686c5ca4ef5 · outbound

This paper cites and Jaini, P.

Compositional Scene Understanding through Inverse Generative Modeling and Jaini, P

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:14.351217Z

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.

Observation b8596139-f898-4c9a-8c8b-645f962fc9cc · outbound

This paper cites Attribute-Centric Compositional Text-to-Image Generation.

Compositional Scene Understanding through Inverse Generative Modeling Attribute-Centric Compositional Text-to-Image Generation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:31:09.499395Z

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.

Observation a0492db3-2538-4a8d-a29b-6ef3ed2e221d · outbound

This paper cites Compositional Generative Modeling: A Single Model is Not All You Need.

Compositional Scene Understanding through Inverse Generative Modeling Compositional Generative Modeling: A Single Model is Not All You Need

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:04.574358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e2cff6b-91bc-40fc-9105-dd73f7582392 · outbound

This paper cites Implicit Generation and Generalization in Energy-Based Models.

Compositional Scene Understanding through Inverse Generative Modeling Implicit Generation and Generalization in Energy-Based Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:04.679037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d0bc0e-0f44-4333-a5a2-00c842ba1b0c · outbound

This paper cites Compositional visual generation with energy based models.

Compositional Scene Understanding through Inverse Generative Modeling Compositional visual generation with energy based models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:14.169795Z

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.

Observation c1e164b3-df9f-4ea9-a0a0-8f27b8a75df3 · outbound

This paper cites J., and Mordatch, I.

Compositional Scene Understanding through Inverse Generative Modeling J., and Mordatch, I

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:13.992568Z

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.

Observation 1060ef90-6c81-49be-a3bf-26be9a2933f7 · outbound

This paper cites Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC.

Compositional Scene Understanding through Inverse Generative Modeling Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:04.988457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a09370-420d-4963-980c-b96913185d79 · outbound

This paper cites Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.

Compositional Scene Understanding through Inverse Generative Modeling Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:05.077080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f6d604-d44a-456d-8598-fbf083b40b88 · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:31:13.825818Z

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.

Observation 6e098382-277a-4290-83e8-f19105d4c1b3 · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:31:13.654837Z

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.

Observation 367dfec8-b03e-42e2-bf68-514de2876fdc · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Compositional Scene Understanding through Inverse Generative Modeling An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:05.308165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51eac6b-6f16-444a-be13-94261d4ea826 · outbound

This paper cites H., Chechik, G., and Cohen-Or, D.

Compositional Scene Understanding through Inverse Generative Modeling H., Chechik, G., and Cohen-Or, D

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:13.446518Z

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.

Observation 49222bc2-0a8b-4740-ba6c-45e320bacec9 · outbound

This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

Compositional Scene Understanding through Inverse Generative Modeling ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:05.524154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca265ea4-382a-42ae-9ce1-6ba0fcd88e01 · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:05.648001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3776150-f756-4d3b-a373-1d873a4e8f5f · outbound

This paper cites On the Binding Problem in Artificial Neural Networks.

Compositional Scene Understanding through Inverse Generative Modeling On the Binding Problem in Artificial Neural Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:05.704461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bebc477-734b-4cb9-a431-d2f09b4f17ac · outbound

This paper cites Deep residual learning for image recognition.

Compositional Scene Understanding through Inverse Generative Modeling Deep residual learning for image recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:05.788019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8610c5c-b5c5-40fa-9ba8-e34bba963126 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Compositional Scene Understanding through Inverse Generative Modeling A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:05.828657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59580d12-5bee-45ea-8c52-a6b9ca4e046d · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:31:13.238886Z

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.

Observation df23d9b9-add0-4112-976f-80a22570e8fd · outbound

This paper cites Denoising diffusion probabilistic models.

Compositional Scene Understanding through Inverse Generative Modeling Denoising diffusion probabilistic models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:05.984068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45be940d-46e5-496a-8cc3-9109a7fed01a · outbound

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

Compositional Scene Understanding through Inverse Generative Modeling Composer: Creative and Controllable Image Synthesis with Composable Conditions

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:06.090945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 554cc24b-a1fb-4947-91b1-b5519e8651d0 · outbound

This paper cites Intriguing properties of generative classifiers.

Compositional Scene Understanding through Inverse Generative Modeling Intriguing properties of generative classifiers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:06.162857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 273b6cba-1c48-4de2-9f81-c78146dda2cf · outbound

This paper cites Clevr: A diagnostic dataset for compositional language and elementary visual reasoning.

Compositional Scene Understanding through Inverse Generative Modeling Clevr: A diagnostic dataset for compositional language and elementary visual reasoning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:06.240587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8851ddb0-7794-4e88-be4e-17a33d7171e9 · outbound

This paper cites ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation.

Compositional Scene Understanding through Inverse Generative Modeling ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:06.382571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9ffdb28-261d-4adf-8e23-0c4b3bd4e298 · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:06.491365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2817ab60-5403-4eb8-9dfb-73e2a688453d · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:06.555315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58e1c2e4-f2fe-4fd3-9074-5a8e2d75a84c · outbound

This paper cites C., Prabhudesai, M., Duggal, S., Brown, E., and Pathak, D.

Compositional Scene Understanding through Inverse Generative Modeling C., Prabhudesai, M., Duggal, S., Brown, E., and Pathak, D

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:13.060318Z

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.

Observation 5ec24706-9ccd-4cfe-84ed-8939a7a7ecad · outbound

This paper cites C., Kumar, A., and Pathak, D.

Compositional Scene Understanding through Inverse Generative Modeling C., Kumar, A., and Pathak, D

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:12.884452Z

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.

Observation 7f4bea38-a0d3-4066-bd3b-ec790830628d · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Compositional Scene Understanding through Inverse Generative Modeling Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:12.683474Z

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.

Observation 72cccb25-29bc-499c-b59b-04a1bc484905 · outbound

This paper cites Composing Ensembles of Pre-trained Models via Iterative Consensus.

Compositional Scene Understanding through Inverse Generative Modeling Composing Ensembles of Pre-trained Models via Iterative Consensus

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.083418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69fbf829-3e1a-4605-9303-4368ced9d9c5 · outbound

This paper cites Learning to compose visual relations.

Compositional Scene Understanding through Inverse Generative Modeling Learning to compose visual relations

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.232798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b9d7ced-726c-4517-a0eb-5e95ce7da35f · outbound

This paper cites Compositional Visual Generation with Composable Diffusion Models.

Compositional Scene Understanding through Inverse Generative Modeling Compositional Visual Generation with Composable Diffusion Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.277041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fcc8820-a7d2-446d-aa89-fd5f48eb31fd · outbound

This paper cites B., and Torralba, A.

Compositional Scene Understanding through Inverse Generative Modeling B., and Torralba, A

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:12.461689Z

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.

Observation 24c7118d-6ac1-4175-9763-57546c0daedf · outbound

This paper cites Deep learning face attributes in the wild.

Compositional Scene Understanding through Inverse Generative Modeling Deep learning face attributes in the wild

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:12.234536Z

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.

Observation 7282a1cd-5216-43e9-bce9-21f4e556e220 · outbound

This paper cites Object-centric learning with slot attention, 2020.

Compositional Scene Understanding through Inverse Generative Modeling Object-centric learning with slot attention, 2020

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.403281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 779232eb-934c-4d22-96cd-ef114a936929 · outbound

This paper cites Compositional Risk Minimization.

Compositional Scene Understanding through Inverse Generative Modeling Compositional Risk Minimization

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.462880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48dee2ca-6eb2-4cb1-891f-2316976a350f · outbound

This paper cites Few-Shot Task Learning through Inverse Generative Modeling.

Compositional Scene Understanding through Inverse Generative Modeling Few-Shot Task Learning through Inverse Generative Modeling

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:31:09.126319Z

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.

Observation a165054a-c4b5-4304-8d85-034dc36c7266 · outbound

This paper cites and Jordan, M.

Compositional Scene Understanding through Inverse Generative Modeling and Jordan, M

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:12.007109Z

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.

Observation 71b669ca-faed-4d25-9359-d1031692547a · outbound

This paper cites Controllable and compositional generation with latent-space energy-based models.

Compositional Scene Understanding through Inverse Generative Modeling Controllable and compositional generation with latent-space energy-based models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.626448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 112f5f8a-5b3e-498d-b04b-1ab3e2b00769 · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In International conference on machine learning, pp.\ 5389--5400.

Compositional Scene Understanding through Inverse Generative Modeling Do imagenet classifiers generalize to imagenet? In International conference on machine learning, pp.\ 5389--5400

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.689922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b67b9c-9c00-43ba-8eec-937a791dee05 · outbound

This paper cites You only look once: Unified, real-time object detection.

Compositional Scene Understanding through Inverse Generative Modeling You only look once: Unified, real-time object detection

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.741988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebbba95e-0e42-440a-a5f6-06980e5067cd · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2022.

Compositional Scene Understanding through Inverse Generative Modeling High-resolution image synthesis with latent diffusion models, 2022

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:11.710864Z

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.

Observation 78d6de68-f992-42a7-ab05-54765b74ffaf · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Compositional Scene Understanding through Inverse Generative Modeling U-net: Convolutional networks for biomedical image segmentation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.888081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ab825e-b8b8-41fb-af29-fe4dc072ed5f · outbound

This paper cites Visual Representation Learning Does Not Generalize Strongly Within the Same Domain.

Compositional Scene Understanding through Inverse Generative Modeling Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:07.991560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 570ebb4a-348e-4219-86d3-5af63f0b9598 · outbound

This paper cites Bridging the Gap to Real-World Object-Centric Learning.

Compositional Scene Understanding through Inverse Generative Modeling Bridging the Gap to Real-World Object-Centric Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:08.053196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd15997-d0ab-4205-aae2-454131f39351 · outbound

This paper cites Detecting and recovering sequential deepfake manipulation.

Compositional Scene Understanding through Inverse Generative Modeling Detecting and recovering sequential deepfake manipulation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:11.489486Z

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.

Observation a225580e-41e7-48e3-a005-c74272519bff · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:31:11.281116Z

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.

Observation 1d09a0f6-7c6c-4159-a831-744b375b6a5f · outbound

This paper cites an unresolved cited work.

Compositional Scene Understanding through Inverse Generative Modeling Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:31:11.015827Z

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.

Observation 02f62b48-551d-4b34-a2b3-e31fcd5395f3 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Compositional Scene Understanding through Inverse Generative Modeling Deep unsupervised learning using nonequilibrium thermodynamics

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:08.303473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537cf5d5-9664-4d9f-89bf-06ff40278537 · outbound

This paper cites Learning Disentangled Prompts for Compositional Image Synthesis.

Compositional Scene Understanding through Inverse Generative Modeling Learning Disentangled Prompts for Compositional Image Synthesis

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:31:08.952881Z

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.

Observation cc3b05f2-9e88-4570-8c8e-d40d0a6339d2 · outbound

This paper cites Compositional Image Decomposition with Diffusion Models.

Compositional Scene Understanding through Inverse Generative Modeling Compositional Image Decomposition with Diffusion Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:08.420211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1902976f-d1ee-439a-8839-1bccf6dbac17 · outbound

This paper cites Measuring robustness to natural distribution shifts in image classification.

Compositional Scene Understanding through Inverse Generative Modeling Measuring robustness to natural distribution shifts in image classification

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:10.744729Z

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.

Observation 5b0adc74-8031-4328-9138-d84c4b067ded · outbound

This paper cites N., Vapnik, V., et al.

Compositional Scene Understanding through Inverse Generative Modeling N., Vapnik, V., et al

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:10.502890Z

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.

Observation 6e5b7ea1-67bb-466a-a552-fb0605d9379a · outbound

This paper cites Hierarchical open-vocabulary universal image segmentation.

Compositional Scene Understanding through Inverse Generative Modeling Hierarchical open-vocabulary universal image segmentation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:10.241513Z

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.

Observation 1094d440-04a0-432f-b7b6-e5cde3c627fa · outbound

This paper cites Slot-vae: Object-centric scene generation with slot attention.

Compositional Scene Understanding through Inverse Generative Modeling Slot-vae: Object-centric scene generation with slot attention

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:10.002017Z

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.

Observation 22082d0b-8a0d-49ee-833d-6ad0656f06ee · outbound

This paper cites Compositional generalization from first principles.

Compositional Scene Understanding through Inverse Generative Modeling Compositional generalization from first principles

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:09.788292Z

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.

Observation 27473254-f210-4ec6-b326-c8a00f310769 · outbound

This paper cites Unleashing text-to-image diffusion models for visual perception.

Compositional Scene Understanding through Inverse Generative Modeling Unleashing text-to-image diffusion models for visual perception

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:08.719140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df0415b-4810-4649-bf9e-c8f931a56890 · outbound

This paper cites RoboDreamer: Learning Compositional World Models for Robot Imagination.

Compositional Scene Understanding through Inverse Generative Modeling RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:08.798977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4a7ecbc1-5942-4824-b80a-9e3f101176a4 · inbound

CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs cites this paper.

CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs Compositional Scene Understanding through Inverse Generative Modeling

Reference 280

Resolution: unresolved; no resolver link, observed 2026-08-02T17:14:01.979367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.