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Paper Citation Record · LEDGER

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis

As of 13 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2411.16783.

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

pith.paper-citation-record.v1
2411.16783 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:32:27.757791Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T17:51:32.439732Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T17:53:11.730252Z

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96e501ac-5673-48cd-87cd-fe676316fad3 · outbound

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

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis A-star: Test-time attention segregation and retention for text-to-image synthesis

Reference 1

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Observation 413e500a-814b-4a2e-aafd-e92395e5aa1b · outbound

This paper cites Language Models are Few-Shot Learners.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Language Models are Few-Shot Learners

Reference 2

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Observation 8c097ed7-8ea6-480f-966d-c5d53d430ce6 · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models

Reference 3

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Observation 04d4e1a1-0ef6-42aa-a69e-e4b327b29f6d · outbound

This paper cites ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

Reference 4

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Observation cb9ecfe4-1062-487d-b9ae-83ee91e3a48b · outbound

This paper cites Prompt optimizer of text-to-image diffusion models for abstract con- cept understanding.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Prompt optimizer of text-to-image diffusion models for abstract con- cept understanding

Reference 5

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Source-reported events for the cited work

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Observation 341795db-9dbe-4744-b739-1367aa8fd306 · outbound

This paper cites Initno: Boosting text-to-image diffu- sion models via initial noise optimization.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Initno: Boosting text-to-image diffu- sion models via initial noise optimization

Reference 6

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Source-reported events for the cited work

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Observation 04faa725-f0cb-48d5-ae59-b0817e296a02 · outbound

This paper cites Optimizing prompts for text-to-image generation.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Optimizing prompts for text-to-image generation

Reference 7

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Source-reported events for the cited work

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Observation 08471b09-404d-4341-9f7c-1fe50b1671b3 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 8

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Observation d8fdf4e3-7848-4812-9263-f9fc42a3f354 · outbound

This paper cites Classifier-Free Diffusion Guidance.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Classifier-Free Diffusion Guidance

Reference 9

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Observation 7bacc3f5-1a6b-4f26-a1b5-62fc43058093 · outbound

This paper cites Introvae: Introspective variational autoencoders for photo- 13 graphic image synthesis.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Introvae: Introspective variational autoencoders for photo- 13 graphic image synthesis

Reference 10

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Observation 05901976-508a-450a-ad1e-4318f349889e · outbound

This paper cites T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8d8b03e7-34ea-433d-ba0d-501e39ed55e0 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Image-to-image translation with conditional adver- sarial networks

Reference 12

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Source-reported events for the cited work

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Observation f10c8735-0627-4141-ac5b-0c0b158e86c2 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis A style-based generator architecture for generative adversarial networks

Reference 13

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Observation f8cd4c27-179e-4229-b0d8-59743be31701 · outbound

This paper cites Auto-Encoding Variational Bayes.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Auto-Encoding Variational Bayes

Reference 14

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Observation d7b58385-7461-460e-b971-14b0c8c120e0 · outbound

This paper cites Segment any- thing.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Segment any- thing

Reference 15

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Source-reported events for the cited work

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Observation 95556a0d-bd9e-41f3-842e-a30f735e40f3 · outbound

This paper cites The hungarian method for the assignment problem.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis The hungarian method for the assignment problem

Reference 16

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Observation 3c3733e8-e149-4054-b094-8c350deceb4a · outbound

This paper cites An algorithm for path connections and its applications.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis An algorithm for path connections and its applications

Reference 17

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Source-reported events for the cited work

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Observation 87b8c8ce-3619-49e2-891e-d6b1521f5a46 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 18

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Observation 90951c43-02b3-412c-92b3-87b52b835bc0 · outbound

This paper cites Divide & bind your attention for improved generative seman- tic nursing.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Divide & bind your attention for improved generative seman- tic nursing

Reference 19

Resolution
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Observation 0a3747bd-88b3-4eb8-acc4-ded9e679249d · outbound

This paper cites Evaluating Text-to-Visual Generation with Image-to-Text Generation.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Evaluating Text-to-Visual Generation with Image-to-Text Generation

Reference 20

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Observation 6afc077e-4c7f-491d-bf82-09f3d3cb0034 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 21

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Observation e56d2af0-44a5-4470-82f7-941c9b8dc170 · outbound

This paper cites Improving Text-to-Image Consistency via Automatic Prompt Optimization.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Improving Text-to-Image Consistency via Automatic Prompt Optimization

Reference 22

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Observation b1ca31c9-f44b-4e6f-81f2-163d17922a37 · outbound

This paper cites Conform: Contrast is all you need for high- fidelity text-to-image diffusion models.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Conform: Contrast is all you need for high- fidelity text-to-image diffusion models

Reference 23

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Observation 0495034c-1711-453b-816e-fd01c469d14e · outbound

This paper cites Dynamic prompt optimizing for text- to-image generation.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Dynamic prompt optimizing for text- to-image generation

Reference 24

Resolution
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Observation 2c942887-064f-4de3-92d0-747261c73eba · outbound

This paper cites Semantic image synthesis with spatially-adaptive nor- malization.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Semantic image synthesis with spatially-adaptive nor- malization

Reference 25

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Observation 41050cce-6aa5-404f-bd28-0d65dd79bb2b · outbound

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

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Learning transferable visual models from natural language supervi- sion

Reference 26

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Observation e1eeb46d-e268-40dd-9ec2-230acb95ea5f · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 27

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Observation dca80376-6c9f-4806-8876-e6a0b8b02a5f · outbound

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

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 28

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Observation 09c0416e-f07a-4ae6-890f-9ee1a97838b2 · outbound

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

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis High-resolution image synthesis with latent diffusion models

Reference 29

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Observation 3547c817-9747-432c-93be-c7a190021edf · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Photorealistic text-to-image diffusion models with deep language understanding

Reference 30

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Observation 60607be3-a856-47bc-a640-61d1c1467c37 · outbound

This paper cites Notes on Kullback-Leibler Divergence and Likelihood.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Notes on Kullback-Leibler Divergence and Likelihood

Reference 31

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Observation 6a9f499a-57d8-4238-8f1d-ddf8aa91fc79 · outbound

This paper cites Df-gan: A simple and effec- tive baseline for text-to-image synthesis.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Df-gan: A simple and effec- tive baseline for text-to-image synthesis

Reference 32

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Observation 1bbea671-77da-40fb-8520-e235ec459d25 · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Plug-and-play diffusion features for text-driven image-to-image translation

Reference 33

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Observation 466b09ce-2dd9-4289-b572-f89424c65a45 · outbound

This paper cites Neural discrete representation learning.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Neural discrete representation learning

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 309ee951-7ca2-4a99-bc1e-e442e9767e66 · outbound

This paper cites Attention is all you need.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Attention is all you need

Reference 35

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unresolved
no resolver link, observed 2026-08-12T13:32:27.719987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:32:27.719987Z digest=sha256:4d1bb635dfbd29986d4a2ff7d3a43d755f84e90b1a4bacfcbe8e159a1f1e99b7

Observation 706d41fe-8f25-4a42-9736-5b0e03171bec · outbound

This paper cites Investigating Prompt Engineering in Diffusion Models.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Investigating Prompt Engineering in Diffusion Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T13:32:27.724590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:32:27.724590Z digest=sha256:806aad5f99a4cb393c18e89a8d86040e65ae867c3e1df2721e19419c1c201f6d

Observation befc50ef-967f-4fb9-ad85-8561cf4405b3 · outbound

This paper cites Attngan: Fine- grained text to image generation with attentional generative adversarial networks.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Attngan: Fine- grained text to image generation with attentional generative adversarial networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:32:28.089485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:32:27.729480Z digest=sha256:6f816d3656ba555031432523fa0f41be5945300fe2f08950bd6fb4c33c6083c1

Observation 46ae488f-0a57-47ca-8eb5-b7fe3fdc3c5a · outbound

This paper cites Improving Text-to-Image Synthesis Using Contrastive Learning.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Improving Text-to-Image Synthesis Using Contrastive Learning

Reference 38

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unresolved
no resolver link, observed 2026-08-12T13:32:27.734170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:32:27.734170Z digest=sha256:926b3ab2447783155c9f7cd60fdad015c863ad69e4377348dab39aad994be14e

Observation b098a5e9-b4fb-4064-9f82-e73b1b734ef8 · outbound

This paper cites Image binarization using otsu threshold- ing algorithm.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Image binarization using otsu threshold- ing algorithm

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:32:28.072301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:32:27.739233Z digest=sha256:af5df12830fd94d32829f91b3efba97202befa14df271842bebe4415a7ec35dc

Observation 0d4574c4-3fe1-4873-a53b-411445c290de · outbound

This paper cites Cross-modal contrastive learning for text-to- image generation.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Cross-modal contrastive learning for text-to- image generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:32:28.057097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:32:27.743898Z digest=sha256:414c2af09b0d5cbae2739d892a26c054a4657e05162c0091bcd885a12783cd99

Observation f57a72f5-601c-4b8c-8537-6212e72a39a0 · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:32:28.040756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:32:27.748162Z digest=sha256:48bc6f4b8ba43cc2d0dd54430c98fe3a060ae3d06a8e97d7cd4c9025d837ed32

Observation cd5c1002-e427-4a08-badf-ff61ec8f9c5f · outbound

This paper cites To- ward multimodal image-to-image translation.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis To- ward multimodal image-to-image translation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:32:28.024321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:32:27.752974Z digest=sha256:39940464337c5bccb08a5534d4afa3dee3c65970d1839ab5378c1603419e060b

Observation ba6d2e5f-82d3-4a29-8020-136c9c6e0b1b · outbound

This paper cites Dm-gan: Dynamic memory generative adversarial networks for text- to-image synthesis.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Dm-gan: Dynamic memory generative adversarial networks for text- to-image synthesis

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:32:28.006820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:32:27.757791Z digest=sha256:2b8ff080bbdd5c6ee04df17a95bb9e4b7feb9f9098d245a734aebe594436d782

Pith citing papers

Observation 9cfbe75d-afea-4e0f-a3ed-30cadf17f3f5 · inbound

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models cites this paper.

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:53:11.732031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T17:51:32.439732Z digest=sha256:b523f9081baaaa2c11cd01a171c469f18ce8ac10ca47b33273ac35af7cb85f23