Paper Citation Record · LEDGER

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation

As of 11 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2501.15878.

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

pith.paper-citation-record.v1
2501.15878 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:56:51.080526Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact1
verified fuzzy6
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df684b0f-0893-4309-aaed-3ed0ad599c16 · outbound

This paper cites Table 11 presents a quantitative comparison of our method with GLASS and SPOT.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Table 11 presents a quantitative comparison of our method with GLASS and SPOT

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:51.262603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e2065596-b1ed-4559-ab4b-85a10bbaff67 · outbound

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

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation On the Binding Problem in Artificial Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:51.010376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f428d6-f47f-4ebc-8982-d8ae9fd05176 · outbound

This paper cites an unresolved cited work.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:56:51.324955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd89607e-bea4-4cb9-867b-dcc725ed0a42 · outbound

This paper cites Building machines that learn and think like people.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Building machines that learn and think like people

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:51.398036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f129efe4-75b1-486a-a34c-271f7c8ce3cd · outbound

This paper cites Illiterate dall-e learns to compose.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Illiterate dall-e learns to compose

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:51.383542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e810126-a2c1-43cf-94c9-dcd6375b9c2c · outbound

This paper cites Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:51.038552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71005d1d-e93f-4e9b-9b73-4f6110902265 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:51.043258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8f6359-f1e5-4333-9077-60eda8615c0f · outbound

This paper cites an unresolved cited work.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:56:51.355529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4435f9d9-7952-41ab-a16c-82a44d094399 · outbound

This paper cites trainaug.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation trainaug

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:51.340929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f721d7b-61f0-473e-b9ea-74ec911f37e3 · outbound

This paper cites an unresolved cited work.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:56:51.309136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 28984beb-dd63-461e-8c57-29ec85f0d873 · outbound

This paper cites part-whole.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation part-whole

Reference 17

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T13:56:51.292603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53070b1a-73ef-4e41-a0c4-a4457bdcfc3a · outbound

This paper cites Methodological Distinctions: GLASS leverages extra information, such as class labels or image captions, to enhance its performance.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Methodological Distinctions: GLASS leverages extra information, such as class labels or image captions, to enhance its performance

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:51.278402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8fb68c9b-1420-4184-9699-49bcb641c6e2 · outbound

This paper cites MONet: Unsupervised Scene Decomposition and Representation.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation MONet: Unsupervised Scene Decomposition and Representation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:51.004922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9efb7953-d073-44ca-97eb-1f1d86ac59a7 · outbound

This paper cites SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:50.994267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf5477db-8039-4ec9-bfb4-24bca9c3963e · outbound

This paper cites It is organized into three parts: • Training and Architectural Details (section A.1): We explain how we trained our model SlotAdapt and describe its structure in depth.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation It is organized into three parts: • Training and Architectural Details (section A.1): We explain how we trained our model SlotAdapt and describe its structure in depth

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:56:51.369800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81e98d3e-468f-45bf-8b2a-8fcc5dd9e546 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Classifier-Free Diffusion Guidance

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:51.015310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 158f1993-363e-4a14-9a58-768b27e51340 · outbound

This paper cites GLASS: Guided Latent Slot Diffusion for Object-Centric Learning.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation GLASS: Guided Latent Slot Diffusion for Object-Centric Learning

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:56:51.153583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 91069eb8-f75f-45f4-810b-38b86c3173f2 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:51.024584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc12e953-7772-4096-a060-ba8b64b05c70 · outbound

This paper cites Demystifying MMD GANs.

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Demystifying MMD GANs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:50.999876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.