Paper Citation Record · LEDGER

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.00789.

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

pith.paper-citation-record.v1
2507.00789 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:13:22.109762Z

measured 27 of 27 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

27 of 27 outbound references displayed

verified exact0
verified fuzzy21
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04280ffe-2b7b-409c-b8c2-b5215af8cd81 · outbound

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

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.399849Z

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 ea0e420a-7651-46fe-8e3e-89a19269d895 · outbound

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

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:22.023700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b7559d-1549-4b52-90d3-aee6bfaaec65 · outbound

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

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.389999Z

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 b671f02f-37fd-45db-9a86-8cde79bc347c · outbound

This paper cites Advances in Neural Information Processing Systems 37, 125487–125519 (2024).

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Advances in Neural Information Processing Systems 37, 125487–125519 (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.380718Z

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 abc1cef3-41be-49c2-8313-c34920db3000 · outbound

This paper cites Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:22.034844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d69d66-505c-4a6a-a5a7-8699bf66ab73 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025).

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.370553Z

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 bc2bf323-0386-4e1e-86cd-8259fe0250a5 · outbound

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

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.360267Z

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 52ea48d2-5ea0-49ba-8986-d6cd8c49b7b2 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.349970Z

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 7d0e2848-672b-4b1c-a669-7b6acae2531d · outbound

This paper cites K., Liu, Y.: Attention-driven training-free efficiency enhancement of diffusion models.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection K., Liu, Y.: Attention-driven training-free efficiency enhancement of diffusion models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.340491Z

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 06256301-0bf1-4140-a323-3a13c9f36a5d · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.331650Z

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 9cc0b613-655d-44b9-8049-f3fb14206745 · outbound

This paper cites Advances in neural information processing systems 33, 6840–6851 (2020) Abbreviated paper title 13.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Advances in neural information processing systems 33, 6840–6851 (2020) Abbreviated paper title 13

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.320976Z

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 f26787a0-165d-4a01-98a5-98d6d6ee8207 · outbound

This paper cites Denoising Diffusion Implicit Models.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Denoising Diffusion Implicit Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:22.060018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9f734f2-19b5-457d-9ffe-e71d5c7b109e · outbound

This paper cites Advances in neural information processing systems 34, 11287–11302 (2021).

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Advances in neural information processing systems 34, 11287–11302 (2021)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.311975Z

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 63407cda-cda4-4dcb-9244-0bf56cdbf6f1 · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Advances in Neural Information Processing Systems, vol

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.302685Z

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 0763be89-3448-4e14-b416-7bafb43912b1 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025).

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.292583Z

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 58b8ab86-f2ce-42c6-9642-d995e20829df · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025).

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.282931Z

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 f0e58a8e-eb50-44bf-9d47-434bb5873d70 · outbound

This paper cites Token Merging: Your ViT But Faster.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Token Merging: Your ViT But Faster

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:22.077714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19cf8509-af47-4bad-920e-0752fe01f569 · outbound

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

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.272082Z

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 99007ae0-4a1a-43ee-91dc-8ebb03633d1a · outbound

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

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.262183Z

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 7c5ffd3c-66a7-4f51-882d-f5ccdab71fa1 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.251680Z

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 fb0285b0-cd6a-4888-8312-269fca7c1d0f · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.240289Z

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 7a1af300-872f-4958-b6ad-102e2877ddca · outbound

This paper cites ACM Trans- actions on Graphics (TOG) 42(4), 1–10 (2023).

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection ACM Trans- actions on Graphics (TOG) 42(4), 1–10 (2023)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.229462Z

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 2868d84c-c8e6-4b1e-a8e2-2784f426bbd7 · outbound

This paper cites In: International Conference on Machine Learning, pp.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection In: International Conference on Machine Learning, pp

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.219245Z

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 12a5a48c-1879-49e4-8b81-2a25c8cf0f1e · outbound

This paper cites B.: Compositional visual gen- eration with composable diffusion models.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection B.: Compositional visual gen- eration with composable diffusion models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.208910Z

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 254b1dfa-35f1-42af-af37-2c3e8e2818c2 · outbound

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

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:22.102907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8608f32c-3726-469b-bad5-91fa20b3dce5 · outbound

This paper cites Divide & Bind Your Attention for Improved Generative Semantic Nursing.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Divide & Bind Your Attention for Improved Generative Semantic Nursing

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:22.106323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4656743e-3e40-4623-b5fa-8c0aee38da11 · outbound

This paper cites V.: A-star: Test-time attention segregation and retention for text-to-image synthesis.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection V.: A-star: Test-time attention segregation and retention for text-to-image synthesis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:22.197194Z

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.

Pith citing papers

No inbound Pith citation observations are available.