Paper Citation Record · LEDGER

Negative Token Merging: Image-based Adversarial Feature Guidance

As of 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2412.01339.

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

pith.paper-citation-record.v1
2412.01339 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:31:05.891001Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:33:09.368425Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T17:53:11.670844Z

Reference resolution

52 of 52 outbound references displayed

verified exact0
verified fuzzy24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5400d100-690e-4b92-b0d2-bbcb4d3c2677 · outbound

This paper cites GPT-4 Technical Report.

Negative Token Merging: Image-based Adversarial Feature Guidance GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation b7559ce3-46ff-4e70-bea5-9a04b505efd3 · outbound

This paper cites How to use negative prompts?, 2023.

Negative Token Merging: Image-based Adversarial Feature Guidance How to use negative prompts?, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.680677Z

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Observation fe81a9e5-181a-4596-9621-7f81b79f9622 · outbound

This paper cites Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.

Negative Token Merging: Image-based Adversarial Feature Guidance Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

Reference 3

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Observation 9a764ab8-b5d3-4939-a422-96540d1dbcab · outbound

This paper cites Understanding the Impact of Negative Prompts: When and How Do They Take Effect?.

Negative Token Merging: Image-based Adversarial Feature Guidance Understanding the Impact of Negative Prompts: When and How Do They Take Effect?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.653083Z

Source-reported events for the cited work

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Observation d8fce792-7e90-4480-9bba-aa16756c3397 · outbound

This paper cites How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?.

Negative Token Merging: Image-based Adversarial Feature Guidance How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

Reference 5

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Source-reported events for the cited work

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Observation 20a1c8da-96e3-4e29-9b5e-3e86fcacf78f · outbound

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

Negative Token Merging: Image-based Adversarial Feature Guidance Scaling recti- fied flow transformers for high-resolution image synthe- sis

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.666064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 681ce0cc-1950-49d1-9c14-159648c1434b · outbound

This paper cites Token Merging: Your ViT But Faster.

Negative Token Merging: Image-based Adversarial Feature Guidance Token Merging: Your ViT But Faster

Reference 7

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Source-reported events for the cited work

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Observation 0320d676-03a0-4b9e-9cb4-70db8bd9832a · outbound

This paper cites Token merging for fast stable diffusion.

Negative Token Merging: Image-based Adversarial Feature Guidance Token merging for fast stable diffusion

Reference 8

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Source-reported events for the cited work

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Observation cb287ac7-5eaa-4c33-9bfc-39f7cd45e570 · outbound

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

Negative Token Merging: Image-based Adversarial Feature Guidance Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.679314Z

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Observation c446c385-a36b-4c33-abac-5f9d15975e51 · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

Negative Token Merging: Image-based Adversarial Feature Guidance Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.684128Z

Source-reported events for the cited work

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Observation 83443133-1622-4e5a-8f89-56bb2f193992 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Negative Token Merging: Image-based Adversarial Feature Guidance An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.689201Z

Source-reported events for the cited work

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Observation 564de036-4b0f-4ef5-85c5-85ee64593333 · outbound

This paper cites CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms.

Negative Token Merging: Image-based Adversarial Feature Guidance CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.693972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248a6ece-4655-43f8-8b88-77714c6923a8 · outbound

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

Negative Token Merging: Image-based Adversarial Feature Guidance Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.625779Z

Source-reported events for the cited work

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Observation 98125bb7-f555-43ab-9607-e3a20a67317d · outbound

This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

Negative Token Merging: Image-based Adversarial Feature Guidance DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Reference 14

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Source-reported events for the cited work

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Observation 4186405c-0256-44fa-b5b1-2f2a4d2fbc5b · outbound

This paper cites CPR: Retrieval Augmented Generation for Copyright Pro- tection.

Negative Token Merging: Image-based Adversarial Feature Guidance CPR: Retrieval Augmented Generation for Copyright Pro- tection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.610357Z

Source-reported events for the cited work

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Observation 382f2075-5705-480f-9e24-64dfbeabe448 · outbound

This paper cites Reliable and Efficient Concept Erasure of Text- to-Image Diffusion Models, 2024.

Negative Token Merging: Image-based Adversarial Feature Guidance Reliable and Efficient Concept Erasure of Text- to-Image Diffusion Models, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.595641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f0370dba-9f70-490b-8ef9-2ab6243241db · outbound

This paper cites Fantastic Copyrighted Beasts and How (Not) to Generate Them.

Negative Token Merging: Image-based Adversarial Feature Guidance Fantastic Copyrighted Beasts and How (Not) to Generate Them

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.718339Z

Source-reported events for the cited work

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Observation f27c9428-9c5e-46da-9d04-1ce928937934 · outbound

This paper cites Foundation Models and Fair Use.

Negative Token Merging: Image-based Adversarial Feature Guidance Foundation Models and Fair Use

Reference 18

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Source-reported events for the cited work

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Observation b3be7236-a822-4a94-9e20-153206e705e0 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Negative Token Merging: Image-based Adversarial Feature Guidance CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.728199Z

Source-reported events for the cited work

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Observation 860f3aa5-be14-483f-836f-97b66eda797c · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Negative Token Merging: Image-based Adversarial Feature Guidance Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.579375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71f3c9f4-24f8-4887-9e24-9811c87797ee · outbound

This paper cites Classifier-Free Diffusion Guidance.

Negative Token Merging: Image-based Adversarial Feature Guidance Classifier-Free Diffusion Guidance

Reference 21

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Source-reported events for the cited work

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Observation 48869e76-b6e5-4ab7-bf96-bab3635ef3eb · outbound

This paper cites FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age.

Negative Token Merging: Image-based Adversarial Feature Guidance FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.742849Z

Source-reported events for the cited work

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Observation 42b77e4a-1964-4eb5-b557-7cb1fcb06a3b · outbound

This paper cites Segment anything in high quality.

Negative Token Merging: Image-based Adversarial Feature Guidance Segment anything in high quality

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b9630d8-fb5c-4671-9b79-b0945da318f3 · outbound

This paper cites Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain.

Negative Token Merging: Image-based Adversarial Feature Guidance Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.752697Z

Source-reported events for the cited work

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Observation 6bb4efbb-dd25-4a36-8875-b89cbbcf3912 · outbound

This paper cites Feder Cooper, and James Grimmelmann.

Negative Token Merging: Image-based Adversarial Feature Guidance Feder Cooper, and James Grimmelmann

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.549469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 026235c6-fa61-4015-94e2-9b790b3273c6 · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

Negative Token Merging: Image-based Adversarial Feature Guidance Aligning Text-to-Image Models using Human Feedback

Reference 26

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Source-reported events for the cited work

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Observation cadb5d0f-4505-463c-a601-1170a463e701 · outbound

This paper cites Vidtome: Video token merging for zero-shot video editing.

Negative Token Merging: Image-based Adversarial Feature Guidance Vidtome: Video token merging for zero-shot video editing

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.533275Z

Source-reported events for the cited work

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Observation 3d1a775e-22e0-4e48-9a2d-b77359ab6f1e · outbound

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

Negative Token Merging: Image-based Adversarial Feature Guidance Evaluating Text-to-Visual Generation with Image-to-Text Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.773746Z

Source-reported events for the cited work

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Observation caa4f979-dff8-49a8-b021-a82335ef3595 · outbound

This paper cites Training diffusion models towards diverse image generation with reinforcement learning.

Negative Token Merging: Image-based Adversarial Feature Guidance Training diffusion models towards diverse image generation with reinforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.518102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 982feb5f-e675-4508-8274-761d52426051 · outbound

This paper cites Wordnet: a lexical database for english.

Negative Token Merging: Image-based Adversarial Feature Guidance Wordnet: a lexical database for english

Reference 30

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Source-reported events for the cited work

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Observation 57fb282a-31fd-4620-8f39-5902b895aa0a · outbound

This paper cites SILO Language Models: Isolating Legal Risk In a Nonpara- metric Datastore.

Negative Token Merging: Image-based Adversarial Feature Guidance SILO Language Models: Isolating Legal Risk In a Nonpara- metric Datastore

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.493718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4fdb3743-7416-445b-aada-6fc7bc86a3d8 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Negative Token Merging: Image-based Adversarial Feature Guidance GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 32

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Source-reported events for the cited work

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Observation f138f442-de39-4593-89d8-a8ff34da2ae1 · outbound

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

Negative Token Merging: Image-based Adversarial Feature Guidance SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.797754Z

Source-reported events for the cited work

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Observation 711602e5-0b3e-4090-a08a-abf6518ad1b7 · outbound

This paper cites Class-balancing diffusion models.

Negative Token Merging: Image-based Adversarial Feature Guidance Class-balancing diffusion models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.478849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf8f3b9a-ef48-4499-8c92-93c67a219ae2 · outbound

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

Negative Token Merging: Image-based Adversarial Feature Guidance Learning transferable visual models from natural language supervi- sion

Reference 35

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Source-reported events for the cited work

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Observation 7e3efe26-8360-4bee-9875-e89aac5a79e7 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Negative Token Merging: Image-based Adversarial Feature Guidance Direct preference optimization: Your language model is secretly a reward model

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.453521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a11cb74-90f9-4e26-8dbb-5ce886933dc3 · outbound

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

Negative Token Merging: Image-based Adversarial Feature Guidance Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.817890Z

Source-reported events for the cited work

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Observation 83302d4d-6527-45c2-9b39-9d10bf1caa99 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2021.

Negative Token Merging: Image-based Adversarial Feature Guidance High-resolution image syn- thesis with latent diffusion models, 2021

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.822723Z

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Observation 2452e2a3-d239-4eaa-b81a-befad134d835 · outbound

This paper cites The new legal landscape for text mining and machine learning.

Negative Token Merging: Image-based Adversarial Feature Guidance The new legal landscape for text mining and machine learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.429558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 253d36b0-17b2-4ed1-a6b2-bb7ee6dadf75 · outbound

This paper cites Copyright safety for generative ai.

Negative Token Merging: Image-based Adversarial Feature Guidance Copyright safety for generative ai

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.414175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7883b489-68d4-47cc-b2fa-e6166a8743b2 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Negative Token Merging: Image-based Adversarial Feature Guidance Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.836867Z

Source-reported events for the cited work

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Observation 2daf258d-2ad3-4726-a677-edf6ab9fb785 · outbound

This paper cites Improved techniques for training gans.

Negative Token Merging: Image-based Adversarial Feature Guidance Improved techniques for training gans

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.398636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 871d01d4-b238-483f-8170-6f296d513d32 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Negative Token Merging: Image-based Adversarial Feature Guidance LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.846949Z

Source-reported events for the cited work

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Observation e0db12d3-0e83-4912-82f0-9cb219226802 · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

Negative Token Merging: Image-based Adversarial Feature Guidance Detecting Pretraining Data from Large Language Models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.384192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44f75dfb-0283-412a-8df9-dbb90094432c · outbound

This paper cites Emergent correspondence from image diffusion.

Negative Token Merging: Image-based Adversarial Feature Guidance Emergent correspondence from image diffusion

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.856461Z

Source-reported events for the cited work

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Observation 10639282-ef5d-48da-91b1-552374c4e34a · outbound

This paper cites Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, and Peter Hen- derson.

Negative Token Merging: Image-based Adversarial Feature Guidance Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, and Peter Hen- derson

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.357822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f91f6e6-443c-4023-89dd-7b8b0090dc4b · outbound

This paper cites Stable diffusion 2.0 and the importance of nega- tive prompts for good results, 2023.

Negative Token Merging: Image-based Adversarial Feature Guidance Stable diffusion 2.0 and the importance of nega- tive prompts for good results, 2023

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.340448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 64163496-300a-4e6e-ab02-cac420b8439a · outbound

This paper cites Fairy: Fast parallelized instruction-guided video-to-video synthesis.

Negative Token Merging: Image-based Adversarial Feature Guidance Fairy: Fast parallelized instruction-guided video-to-video synthesis

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.325592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8a8024e7-c98c-4b61-b237-3f96d17ff1c6 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Negative Token Merging: Image-based Adversarial Feature Guidance Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:05.875798Z

Source-reported events for the cited work

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Observation 7da3f5af-053d-43b0-a152-46d66b37dfd6 · outbound

This paper cites Iti- gen: Inclusive text-to-image generation.

Negative Token Merging: Image-based Adversarial Feature Guidance Iti- gen: Inclusive text-to-image generation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.310184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b40a872c-3800-402b-8692-985b991cdc9a · outbound

This paper cites Forget-me-not: Learning to forget in text-to-image diffusion models.

Negative Token Merging: Image-based Adversarial Feature Guidance Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.293934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09c0dbc3-53df-43d6-a3a6-983fec298f8f · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.

Negative Token Merging: Image-based Adversarial Feature Guidance A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:06.278016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation cbe1a125-ce2a-4dfd-9d27-c1182e0a315e · 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 Negative Token Merging: Image-based Adversarial Feature Guidance

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:53:11.672909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 30393db7-d6c1-4f9a-89af-dbd8e5258d7b · inbound

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling cites this paper.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Negative Token Merging: Image-based Adversarial Feature Guidance

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-31T23:33:09.368425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.