Paper Citation Record · LEDGER

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.00607.

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

pith.paper-citation-record.v1
2506.00607 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:22.902729Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

44 of 44 outbound references displayed

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verified fuzzy15
unresolved29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13831c91-3108-4379-93a7-02debe7c4321 · outbound

This paper cites A neural space-time representation for text- to-image personalization.ACM Transactions on Graphics (TOG), 42(6):1–10, 2023.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models A neural space-time representation for text- to-image personalization.ACM Transactions on Graphics (TOG), 42(6):1–10, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.368842Z

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Observation 70563885-77a2-4360-80ee-ceb73bc59839 · outbound

This paper cites Palp: prompt aligned personalization of text-to- image models.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Palp: prompt aligned personalization of text-to- image models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.358892Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 14870943-b959-4552-bd05-b75113e0ece9 · outbound

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

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Break-a-scene: Extracting multi- ple concepts from a single image

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.347412Z

Source-reported events for the cited work

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Observation 8bb298d4-21e3-4357-9512-85e9fe9752ea · outbound

This paper cites Improving image generation with better captions.Computer Science.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Improving image generation with better captions.Computer Science

Reference 4

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Observation 105ba659-5899-4aac-be61-3f9afcc05cf1 · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–10, 2023.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–10, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:22.727973Z

Source-reported events for the cited work

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Observation d6825a35-3dbb-4022-ae62-2e9f79d4f01a · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:22.752719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d91baaf1-7aa8-4f45-8944-91d547780649 · outbound

This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models An image is worth one word: Personalizing text-to-image generation using textual inversion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.319969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 879675f4-75e7-4f0c-87f7-b28f47eec571 · outbound

This paper cites Classifier-free diffusion guidance.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Classifier-free diffusion guidance

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.308679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23b0610b-a7e5-4206-86db-ea07fbe5d3e4 · outbound

This paper cites Identity decoupling for multi-subject personaliza- tion of text-to-image models.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Identity decoupling for multi-subject personaliza- tion of text-to-image models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.296647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e0e8a6a3-8ddd-452d-b782-938df868fed2 · outbound

This paper cites Guiding a diffu- sion model with a bad version of itself.Advances in Neural Information Processing Systems, 37:52996–53021, 2024.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Guiding a diffu- sion model with a bad version of itself.Advances in Neural Information Processing Systems, 37:52996–53021, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.285834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23c298a9-4f3e-4595-b44b-7394018ab2fa · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Multi-concept customization of text-to-image diffusion

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:22.777246Z

Source-reported events for the cited work

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Observation af28f733-fca2-4c02-ad2a-e585b89cd50e · outbound

This paper cites Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:22.781588Z

Source-reported events for the cited work

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Observation 75e37c27-bc45-48bc-bf38-a88a04456357 · outbound

This paper cites Direct consistency optimization for compositional text- to-image personalization.NeurIPS, 2024.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Direct consistency optimization for compositional text- to-image personalization.NeurIPS, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.269028Z

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Observation d78479cb-e5c9-473b-8876-8e5e8a63a145 · outbound

This paper cites Subject-diffusion: Open domain personalized text-to-image generation without test-time fine- tuning.Advances in Neural Information Processing Systems, 36, 2023.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Subject-diffusion: Open domain personalized text-to-image generation without test-time fine- tuning.Advances in Neural Information Processing Systems, 36, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.258012Z

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Observation 9addad6a-e606-4a0a-b964-e5024e760016 · outbound

This paper cites Dreammatcher: Appearance matching self-attention for semantically-consistent text-to- image personalization.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Dreammatcher: Appearance matching self-attention for semantically-consistent text-to- image personalization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.247107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ada0ca08-0474-4863-885d-07d57bc51b2b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models DINOv2: Learning Robust Visual Features without Supervision

Reference 16

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Observation b5415b4f-ab1b-40b9-acce-f6a39b876ffc · outbound

This paper cites Attndream- booth: Towards text-aligned personalized text-to-image gen- eration.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Attndream- booth: Towards text-aligned personalized text-to-image gen- eration

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.236996Z

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Observation 75642827-f753-4e2f-8b7e-844e473d9702 · outbound

This paper cites Sdxl: Im- proving latent diffusion models for high-resolution image synthesis.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Sdxl: Im- proving latent diffusion models for high-resolution image synthesis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.227098Z

Source-reported events for the cited work

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Observation 0a669d75-5003-4d57-8f23-8c8b72931e0b · outbound

This paper cites Controlling text-to-image diffusion by orthogo- nal finetuning.Advances in Neural Information Processing Systems, 36:79320–79362, 2023.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Controlling text-to-image diffusion by orthogo- nal finetuning.Advances in Neural Information Processing Systems, 36:79320–79362, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.216520Z

Source-reported events for the cited work

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Observation f91ad700-8b19-4690-a71f-e956d8953d09 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Learning transferable visual models from natural language supervi- sion

Reference 20

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Observation a4994a9d-bde5-44cc-ae5e-6e9416098108 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:23.200180Z

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Observation cc8b0600-fe6f-450b-b35c-ab6137233e50 · outbound

This paper cites P+: Extended Textual Conditioning in Text-to-Image Generation.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models P+: Extended Textual Conditioning in Text-to-Image Generation

Reference 22

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Observation 78dd465b-dc7f-43a5-8e14-ee443a0b0e8b · outbound

This paper cites ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation

Reference 23

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Source-reported events for the cited work

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Observation ac60e0c2-18d1-4e74-a9d2-6425b15a39e1 · outbound

This paper cites Attention calibration for disentangled text-to-image person- alization.

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Attention calibration for disentangled text-to-image person- alization

Reference 24

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Observation 4a833870-2e4a-428d-8393-08af5ebe83e9 · outbound

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Reference 25

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Observation 18066558-d78b-4464-89c3-a981f835b855 · outbound

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Reference 26

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Observation c75a0c37-513e-4b81-81cd-1334586a5ba7 · outbound

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Reference 27

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Observation 6adb6425-48b9-47c6-aabd-f91369df439f · outbound

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Reference 29

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Reference 30

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Observation 222d94da-6b43-4999-a0ce-637c9c820673 · outbound

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Reference 31

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Observation 9e234d59-cbb2-4713-88c3-0433aca3d344 · outbound

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Observation e7798933-b67d-43fa-ad16-6ef63e0a0bc8 · outbound

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Reference 34

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Reference 35

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Observation f63d2012-0b1e-405b-99a4-07f10981530a · outbound

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Reference 38

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Observation 7337aa8f-dc75-49e4-9884-a319611dc46b · outbound

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Observation d91ca44a-c46a-4fbe-9162-b8204a3497d8 · outbound

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Observation 410d60ba-0e1b-4a5f-b91f-36d3ac36bf00 · outbound

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Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Unresolved cited work

Reference 43

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Observation 264bf14e-e5dd-456f-9fa0-86b9f0fba04b · outbound

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Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models Unresolved cited work

Reference 44

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Pith citing papers

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