Paper Citation Record · LEDGER

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.09753.

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

pith.paper-citation-record.v1
2607.09753 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T16:28:17.428855Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3da0b57-95d6-4d4d-8c3e-4ae160a99489 · outbound

This paper cites Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b22e2940-fd2a-4a77-a978-a427f24d6e68 · outbound

This paper cites Advances in Neural Information Pro- cessing Systems37, 134614–134644 (2024).

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Advances in Neural Information Pro- cessing Systems37, 134614–134644 (2024)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Observation 8663fc94-1fbb-4351-8e0d-1dd38d3458bd · outbound

This paper cites Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation a1340424-35e7-4799-a090-27b4337a9438 · outbound

This paper cites Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation 950cf92b-89e3-43d0-9d20-41e1c08ae5cd · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation 547ff4cf-1fcb-4d92-b890-f6857f9ab00e · outbound

This paper cites an unresolved cited work.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation 6cf1b032-3436-40d2-b741-e7e98db45c9a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation 6c32ab84-8edf-4d32-82c0-c2505f31a750 · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Advances in neural information processing systems33, 6840–6851 (2020)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation 55c790de-c7da-4753-98eb-992073061e8a · outbound

This paper cites In: WACV (2024).

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis In: WACV (2024)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Observation c7bfe388-cf1b-4644-981d-65ba8a4cd37c · outbound

This paper cites Diffusion Models already have a Semantic Latent Space.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Diffusion Models already have a Semantic Latent Space

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 912142d8-850d-45b3-9b83-a904be9ca77d · outbound

This paper cites Neurocomputing 479, 47–59 (2022).

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Neurocomputing 479, 47–59 (2022)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Observation 090c7415-e90a-4960-a3a1-aea3fcaafadf · outbound

This paper cites arXiv e-prints pp.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis arXiv e-prints pp

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation dc7eb52c-9349-4fa4-a677-3942928988ab · outbound

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

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Observation d45c0bfa-35d7-441b-af22-423b67e8a60b · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Microsoft COCO: Common Objects in Context

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Observation b55b4082-62e2-4056-a37e-65cee2a9a5d2 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation 6dc53872-9aca-4a56-83bc-629d4236ef8b · outbound

This paper cites Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation 56e072d5-6cf9-4f12-a36a-a26994b02a35 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Scalable Diffusion Models with Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation aa098b45-fd3b-46be-b453-42cd4c2c6d42 · outbound

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

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation cd9f7e71-478e-4ea7-b8c8-bf3980926808 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation f4e623d6-216b-4444-a735-cfe10363fa0a · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5143d386-0b6d-41ae-8679-2895926ef1e2 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fdfaf75-8219-4239-860e-613295b33ab7 · outbound

This paper cites Advances in neural information processing systems32(2019).

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Advances in neural information processing systems32(2019)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Observation bedb8bcb-30b8-425e-b49e-7eb8b3c19b84 · outbound

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

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Score-Based Generative Modeling through Stochastic Differential Equations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eb926c4-2aba-4d11-9712-2c0fb8dde2c6 · outbound

This paper cites Mitigating Diffusion Model Hallucinations with Dynamic Guidance.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Mitigating Diffusion Model Hallucinations with Dynamic Guidance

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation 29d6d1eb-946a-4d9f-8a40-d1556a92c4ee · outbound

This paper cites Detecting Human Artifacts from Text-to-Image Models.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Detecting Human Artifacts from Text-to-Image Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Unavailable: canonical work link unavailable.

Observation 4526320e-3be5-4fed-bccd-4da88a092935 · outbound

This paper cites an unresolved cited work.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Observation d41083d0-cf37-47d9-9241-b283e49b3817 · outbound

This paper cites A person jumping with arms raised.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis A person jumping with arms raised

Reference 27

Resolution: malformed identifier; no resolver link, observed 2026-07-14T16:28:17.428855Z

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Pith citing papers

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