Paper Citation Record · LEDGER

CObL: Toward Zero-Shot Ordinal Layering without User Prompting

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2508.08498.

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

pith.paper-citation-record.v1
2508.08498 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:35:39.740486Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:34:32.941842Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:34:33.053098Z

Reference resolution

61 of 61 outbound references displayed

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External citation measurements

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Outbound references

Observation 00db129c-f642-40e7-9acd-acd3990435a6 · outbound

This paper cites http: //www.blender.org, Accessed: 2025.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting http: //www.blender.org, Accessed: 2025

Reference 1

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Observation da7ca0b5-e7c3-4ecd-b01c-46330b713c8d · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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Observation 4047dd96-9704-481d-8bba-de564e4b2e20 · outbound

This paper cites Un- seen object amodal instance segmentation via hierarchical occlusion modeling.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Un- seen object amodal instance segmentation via hierarchical occlusion modeling

Reference 3

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Observation 21f0c42a-b318-45cb-ac9a-ecf1ad5618b3 · outbound

This paper cites MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

Reference 4

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This paper cites Stable video diffusion: Scaling la- tent video diffusion models to large datasets.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Stable video diffusion: Scaling la- tent video diffusion models to large datasets

Reference 5

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Observation af048585-e55f-42c9-b6da-fb7fcc33ae93 · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 6

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Observation 3987f70a-c21e-4676-9be7-ffd8334fb1af · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting In- structpix2pix: Learning to follow image editing instructions

Reference 7

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Observation 1bad2333-68b9-42b7-ba7c-4aa3f27bc758 · outbound

This paper cites MONet: Unsupervised Scene Decomposition and Representation.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting MONet: Unsupervised Scene Decomposition and Representation

Reference 8

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This paper cites Emerg- ing properties in self-supervised vision transformers.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Emerg- ing properties in self-supervised vision transformers

Reference 9

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Observation a89c39a0-f55f-4a9b-8ba0-b528648f14c8 · outbound

This paper cites Mask2Former for Video Instance Segmentation.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Mask2Former for Video Instance Segmentation

Reference 10

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Observation 07712994-e345-4281-8813-6a4ac543104e · outbound

This paper cites Latentpaint: Image inpainting in latent space with diffusion models.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Latentpaint: Image inpainting in latent space with diffusion models

Reference 11

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Observation 77c30ee4-fb9b-420b-a17f-00dbfe62decb · outbound

This paper cites Object- driven multi-layer scene decomposition from a single image.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Object- driven multi-layer scene decomposition from a single image

Reference 12

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Observation 7e810f23-08ea-4d92-a241-6427d16e548b · outbound

This paper cites Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc

Reference 13

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Observation 48d731f8-8fc0-40de-8c07-bb62e8f9cbc3 · outbound

This paper cites Learning to see the invisible: End-to-end trainable amodal instance segmen- tation.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Learning to see the invisible: End-to-end trainable amodal instance segmen- tation

Reference 14

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Observation ff32fc22-cbe2-4905-86bb-77e3325b28ed · outbound

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

CObL: Toward Zero-Shot Ordinal Layering without User Prompting An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 15

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Observation c8da3f6d-7833-4f93-85e8-20d86817a6bb · outbound

This paper cites Multi-object representation learning with iterative variational inference.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Multi-object representation learning with iterative variational inference

Reference 16

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Observation ac3896c2-474f-400a-9f58-7048f348e3f8 · outbound

This paper cites Classifier-Free Diffusion Guidance.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Classifier-Free Diffusion Guidance

Reference 17

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Observation 0ce72540-2489-4ce3-bfbb-d691191972ef · outbound

This paper cites Denoising dif- fusion probabilistic models.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Denoising dif- fusion probabilistic models

Reference 18

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Unresolved cited work

Reference 19

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Observation d2dc66a6-261e-49cc-82d3-398d7143c84b · outbound

This paper cites Hsiao and M.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Hsiao and M

Reference 20

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Observation c759c1a1-d43f-4222-8eca-411d8aa0ad82 · outbound

This paper cites Substance 3d assets library.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Substance 3d assets library

Reference 21

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This paper cites Lawrence Zitnick, and Ross Girshick.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Lawrence Zitnick, and Ross Girshick

Reference 22

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Observation 4ed84bdc-d3c5-4fc7-b7af-0c92c54f69ce · outbound

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

CObL: Toward Zero-Shot Ordinal Layering without User Prompting ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

Reference 23

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This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 24

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This paper cites Deep occlusion- aware instance segmentation with overlapping bilayers.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Deep occlusion- aware instance segmentation with overlapping bilayers

Reference 25

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This paper cites Panoptic segmentation.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Panoptic segmentation

Reference 26

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This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick

Reference 27

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting The hungarian method for the assignment problem

Reference 28

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Instance-wise occlusion and depth orders in natural scenes

Reference 29

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Syncdiffusion: Coherent montage via synchronized joint diffusions

Reference 30

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Variational amodal object completion.Adv

Reference 31

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Reda, Kevin J

Reference 32

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Object- centric learning with slot attention

Reference 33

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This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Repaint: Inpainting using denoising diffusion probabilistic models

Reference 34

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This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 35

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Unsupervised layered image decomposition into ob- ject prototypes

Reference 36

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Observation 5c03cac7-5db7-4c63-8917-deaed9982a83 · outbound

This paper cites T2i- adapter: Learning adapters to dig out more controllable abil- ity for text-to-image diffusion models.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting T2i- adapter: Learning adapters to dig out more controllable abil- ity for text-to-image diffusion models

Reference 37

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting pix2gestalt: Amodal segmentation by synthesizing wholes

Reference 38

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Vision science: Photons to phenomenol- ogy

Reference 39

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Observation 794fe54b-4006-4740-b3dc-b45bca143a1f · outbound

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

CObL: Toward Zero-Shot Ordinal Layering without User Prompting SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 40

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting DreamFusion: Text-to-3D using 2D Diffusion

Reference 41

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Virtualhome: Simulating household activities via programs

Reference 42

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Observation 4416c11f-d7f4-4a46-b167-cc4e29a7fd38 · outbound

This paper cites Amodal instance segmentation with kins dataset.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Amodal instance segmentation with kins dataset

Reference 43

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Observation 1dd412af-2c9a-465e-a823-eb44c0e84dca · outbound

This paper cites U2-net: Going deeper with nested u-structure for salient object detection.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting U2-net: Going deeper with nested u-structure for salient object detection

Reference 44

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Observation 558fda4f-49ca-4631-b0f6-74b7a3416c16 · outbound

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

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Learning transferable visual models from natural language supervision

Reference 45

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Observation c96ea96b-5983-43b3-bdd6-df9c5c43456b · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 46

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CObL: Toward Zero-Shot Ordinal Layering without User Prompting Dinesh Reddy, Robert Tamburo, and Srinivasa G

Reference 47

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

CObL: Toward Zero-Shot Ordinal Layering without User Prompting High-resolution image syn- thesis with latent diffusion models

Reference 48

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

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Bridging the Gap to Real-World Object-Centric Learning

Reference 49

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This paper cites Denoising Diffusion Implicit Models.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Denoising Diffusion Implicit Models

Reference 50

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Observation dc5917f3-5962-4ff1-a24b-e138515ae401 · outbound

This paper cites Resolution-robust large mask inpainting with fourier convolutions.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Resolution-robust large mask inpainting with fourier convolutions

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:41.406292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b0cbd173-2f5b-458d-9a48-fc61e997d587 · outbound

This paper cites Diffuse, attend, and segment: Unsupervised zero-shot segmentation using stable diffusion.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Diffuse, attend, and segment: Unsupervised zero-shot segmentation using stable diffusion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:41.230491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad109780-af68-4097-a8d3-373ce11146c7 · outbound

This paper cites Merging and transformation of raster im- ages for cartoon animation.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Merging and transformation of raster im- ages for cartoon animation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:41.105197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70c00165-0dd9-4ade-84b3-11423d0500c0 · outbound

This paper cites Amodal com- pletion via progressive mixed context diffusion.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Amodal com- pletion via progressive mixed context diffusion

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:40.946447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78d6e1c3-5fb3-423f-9f9d-e5be834eab81 · outbound

This paper cites Dif- fusion probabilistic modeling for video generation.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Dif- fusion probabilistic modeling for video generation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:40.821368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b614c38-196f-4019-ad86-1a1c2fa43248 · outbound

This paper cites Learning visual parkour from generated images.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Learning visual parkour from generated images

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:40.698778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4dae87b-0995-433a-81fb-709962c56c5e · outbound

This paper cites Amodal ground truth and completion in the wild.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Amodal ground truth and completion in the wild

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:40.564095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6b58d61-279b-4b1e-89d9-d014e5fe9309 · outbound

This paper cites Self-supervised scene de- occlusion.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Self-supervised scene de- occlusion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:40.449421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d86cf49d-4131-4b76-bae2-5124bfb8e76d · outbound

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

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Adding conditional control to text-to-image diffusion models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:40.277802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b4d8d4d-86c8-4e50-9760-727c1688132a · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting The unreasonable effectiveness of deep features as a perceptual metric

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T21:35:39.654318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 301c507b-fe35-423c-a756-ec056c9a58d6 · outbound

This paper cites a(n) {object label}, in a well lit and empty room, {modifier string}.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting a(n) {object label}, in a well lit and empty room, {modifier string}

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:40.127224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 0fa499ed-07a4-4b6e-aaae-35e6aaeb1b5c · inbound

An abstract criterion on the existence and global stability of stationary solutions for random dynamical systems and its applications cites this paper.

An abstract criterion on the existence and global stability of stationary solutions for random dynamical systems and its applications CObL: Toward Zero-Shot Ordinal Layering without User Prompting

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:34:33.124858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.