Pith. sign in

Paper Citation Record · LEDGER

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

As of 14 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 5 inbound Pith citation observations for arXiv:2505.23325.

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

pith.paper-citation-record.v1
2505.23325 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:53:31.813629Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:26:55.937172Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T18:17:55.110392Z

Reference resolution

70 of 70 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved58
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa8afa44-c11e-446f-8359-af55d0281a4d · outbound

This paper cites Qwen2.5-VL Technical Report.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Qwen2.5-VL Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:22.515728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:22.515728Z digest=sha256:663e7f63128cec0f5e8ae25ed7a09a6519403c0a0dc1a96ebb4530935d39e24e

Observation 4fbbbc7a-2890-4382-b60f-0c5599f64eba · outbound

This paper cites Video generation models as world simulators.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Video generation models as world simulators

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:22.623707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:22.623707Z digest=sha256:a155353c5335bc0c4ad31ec483db1909dcd5ccc6703b887e1bcc8f3cfd81ab9e

Observation 3b1dda67-0a37-443f-b596-5aa667624430 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Emerging Properties in Self-Supervised Vision Transformers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:22.800605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:22.800605Z digest=sha256:0b569dbb81a30df831df992cd6681e00853930aae73dee46fdf866426e668b43

Observation 167968c9-5e1d-43ba-b228-924fa750ea1b · outbound

This paper cites Pre-Trained Image Processing Transformer.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Pre-Trained Image Processing Transformer

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:22.896819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:22.896819Z digest=sha256:dbf0bac561047ab828a347045837189d5ccbe183a82303bfcd2bbaa7dd02489a

Observation 0988faea-3c00-4d54-97a6-0e75efb97c5c · outbound

This paper cites Re-Imagen: Retrieval-Augmented Text-to-Image Generator.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:23.012175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:23.012175Z digest=sha256:bcab9f7e3710da9f4c8450035db15b8ed83bc31f97b3c823706fe873031a5a63

Observation 76dcc915-2829-404a-b84d-1a6bc0d21485 · outbound

This paper cites Anydoor: Zero-shot object-level image customization.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Anydoor: Zero-shot object-level image customization

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:36.274483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:23.149714Z digest=sha256:d217d616dd95e52c32f7bc45d045158b7cc6b32c42f38b89d7c6959952ac261c

Observation 12f96487-8b01-4c9b-b8f7-051b18b6d64f · outbound

This paper cites Unireal: Universal image generation and editing via learning real-world dynamics, 2024.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Unireal: Universal image generation and editing via learning real-world dynamics, 2024

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:35.936652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:23.281171Z digest=sha256:14df56a424eb3b7fda2903a0427fe8ac6c3ab641798318aad28136f830a5e1fb

Observation c2b4f917-7ab4-4834-ba56-c5a50cc25435 · outbound

This paper cites Xtuner: A toolkit for efficiently fine-tuning llm.https://github.com/InternLM/ xtuner, 2023.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Xtuner: A toolkit for efficiently fine-tuning llm.https://github.com/InternLM/ xtuner, 2023

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:23.378665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:23.378665Z digest=sha256:bac78dad876dde133f3700489032be448c869f42df51366e7cf16edcf612a93f

Observation 0d6a55c5-639e-4ad7-981f-4886edef6c9c · outbound

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

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Scaling rectified flow transformers for high-resolution image synthesis

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:23.483328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:23.483328Z digest=sha256:aed9de69576f20aadbac78cb933fe42253c54ccea0222aa7209465821a314d1f

Observation b5308a94-bedf-42c6-bce1-5c692b91b15a · outbound

This paper cites Ranni: Taming text-to-image diffusion for accurate instruction following.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Ranni: Taming text-to-image diffusion for accurate instruction following

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:23.547205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:23.547205Z digest=sha256:426b7941dce804ba60ed564d08b351b452560ef57f023866fed7f705d3df2a78

Observation cc51d835-1194-4856-ba3d-b9d11ef70b68 · outbound

This paper cites Bermano, Gal Chechik, and Daniel Cohen-Or.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Bermano, Gal Chechik, and Daniel Cohen-Or

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:35.713523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:23.639105Z digest=sha256:2ae65744efbd2142abb04831f3e9dada9bd9106c144189b183039481cee6d450

Observation 82d05adb-55ee-4fea-b681-a7db3846a309 · outbound

This paper cites ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:23.885001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:23.885001Z digest=sha256:d4340c0757f3c3c63de607af0fb2e21ace14f8f044d371944eff03c4fc4fe4a0

Observation e6da8599-da65-4d05-b483-5aefd3094d0c · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:24.079442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:24.079442Z digest=sha256:df9847c30d31d3beb2ad55955cd669545e56987b820e0f86c5f1c39b500a0cbb

Observation d808e0ff-e324-4900-9bfe-45d038270315 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis LoRA: Low-Rank Adaptation of Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:24.253804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:24.253804Z digest=sha256:d955fa249b65e31b11d1f15b8f92c067005359282c68e29415cdfadbe4fc44b3

Observation 50e0b927-0d49-4166-8d47-258b819aa63a · outbound

This paper cites Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:24.429433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:24.429433Z digest=sha256:61d7b59e8f2a5d93ae4b74548bf51c0de5a9a67adbf42d017789336d04bc808e

Observation a0f5eae7-47d0-46a1-bd50-8a90cc09322a · outbound

This paper cites DreamTuner: Single Image is Enough for Subject-Driven Generation.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis DreamTuner: Single Image is Enough for Subject-Driven Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:24.588321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:24.588321Z digest=sha256:2b44016c7e4032f2b69be62859524f318ef7e6902e2572dcbe18c4717f22ae22

Observation b090f925-359c-49f5-bce4-e171ac7f2953 · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis In-Context LoRA for Diffusion Transformers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:24.694788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:24.694788Z digest=sha256:bb39057421ccf63c880a8e3ef336381a9551e100cf5b63e2e07c1e94c368e4ab

Observation 6fa9346b-0b09-4bb1-b965-7c95fa785143 · outbound

This paper cites FlexIP: Dynamic Control of Preservation and Personality for Customized Image Generation.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis FlexIP: Dynamic Control of Preservation and Personality for Customized Image Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:24.822634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:24.822634Z digest=sha256:9bc44cd25eafbfe66a249ed7da6f98b9119b0c97b64024b4aef3aa275446e220

Observation 57620f91-928c-473d-9ca4-898dcfdb13ee · outbound

This paper cites Image-to-Image Translation with Conditional Adversarial Networks.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Image-to-Image Translation with Conditional Adversarial Networks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:25.018774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:25.018774Z digest=sha256:f3f5eea99a65c3fe6ba1b0afe7010f76cc65b641b20300751426e2ff299102ab

Observation 83fe5650-905d-4252-8dec-ed2f9530e1c4 · outbound

This paper cites Hunyuanvideo: A systematic framework for large video generative models,.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Hunyuanvideo: A systematic framework for large video generative models,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:25.201902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:25.201902Z digest=sha256:ed6f31b0cab018f5efd7c42fc984b91c7463929d9b9adf9e623c49110d640aa4

Observation e006d9ce-ad44-4edf-863e-d7c0ac6451a5 · outbound

This paper cites Multi-Concept Customization of Text-to-Image Diffusion.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Multi-Concept Customization of Text-to-Image Diffusion

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:25.463468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:25.463468Z digest=sha256:281a7e908a5497130440348caf22fc87000cac4923ab13015b1a650958cd37ff

Observation 97659b9e-6620-4a7c-bf85-13c747931b93 · outbound

This paper cites Generating multi-image synthetic data for text-to-image customization, 2025.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Generating multi-image synthetic data for text-to-image customization, 2025

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:25.597628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:25.597628Z digest=sha256:4f5fd32f775b4d2f1c060d6f619455103b9492505af2a0f775058ea3f703ae57

Observation 58320eb3-87f3-401e-abd8-53fd391b51d7 · outbound

This paper cites an unresolved cited work.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:25.728120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:25.728120Z digest=sha256:8b79219f91751a2f62af149ae1dab6602147eb242a6f55085cf313c26a5d6aa1

Observation 4051e177-1810-428a-be08-a22d2a7e6297 · outbound

This paper cites BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:25.799515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:25.799515Z digest=sha256:1e10bfd8db518a4a37ee1e119ec62530f70df73d97fe74bde52cdc393e443f6c

Observation de67ca17-d3b0-44f3-abab-56e439259247 · outbound

This paper cites Visualcloze: A universal image generation framework via visual in-context learning, 2025.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Visualcloze: A universal image generation framework via visual in-context learning, 2025

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:25.866127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:25.866127Z digest=sha256:d270ae067dd2ec9715804ed70de8b4a71f57d8e91ed4d6d1fc8baf73dcf5dae3

Observation b144fdba-022b-44ad-88d1-baf77a4adf03 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Microsoft COCO: Common Objects in Context

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:25.933812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:25.933812Z digest=sha256:0cf4fa5f48dfe8ff07ac09b4ce325f9da1920c167caee803206733cb00a63dea

Observation eebb71da-e1a6-4206-b3ba-b6d7b67678fd · outbound

This paper cites RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:26.025517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:26.025517Z digest=sha256:a9abbfb8e0f2fc79c90b1ab1564eb4dfdd04016a87cd4aa2a526bcfe0af04c28

Observation e0620991-1c15-45b6-8649-4e0a28f0d78b · outbound

This paper cites Flow Matching for Generative Modeling.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Flow Matching for Generative Modeling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:26.123096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:26.123096Z digest=sha256:ae89ffe425410a8422022adaac6ebfa7d6d07944cfcfc66492775520d4886050

Observation 0d1a92ec-5ef3-4e2e-a830-0fc4e02045dd · outbound

This paper cites ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:26.248424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:26.248424Z digest=sha256:ae5628a9675bace184b673eba71fda0a8bb872161bf8d4906eef05237c52e425

Observation 52d2831d-ae13-4cb0-9654-7ee95a727e21 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:26.366072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:26.366072Z digest=sha256:267e9954655e95f85d2337e56f4f50b0a1eeb49799031acb8884e128bb5d1400

Observation e0b4540d-d307-4163-8434-ca7fdbc89f5f · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models,.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:35.336112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:26.460823Z digest=sha256:b29dc4278644a4a0ca6be354395e39996ebdae9c3051e87189b5bb1e90f1e644

Observation cc656117-7b64-4218-8591-8b5265798ce8 · outbound

This paper cites Kosmos-g: Generating images in context with multimodal large language models, 2024.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Kosmos-g: Generating images in context with multimodal large language models, 2024

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:35.101862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:26.689467Z digest=sha256:f4be53b958e6cc374458f3ba1d072e37f9bf162816348f793f060babb909d170

Observation 243f49b9-f87a-46c2-afe4-94728d64eef4 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Scalable Diffusion Models with Transformers

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:26.850329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:26.850329Z digest=sha256:3d2ae61b4248f9562cf998c55ce90ec1135da26467c97a67a1bf6c1b6cc3d0e5

Observation 6e9d63c4-de91-4ab4-8fc4-1e3fe876fdc7 · outbound

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

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:26.972678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:26.972678Z digest=sha256:ab79a5e4a1db464eb4c8df00916e320782d7b1f5d03bbf8df82efb868afb84d3

Observation 86f62b77-0205-4070-b02f-890ed7daf412 · outbound

This paper cites BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.096830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.096830Z digest=sha256:8bf97966336a3b0a1ed8d57a83b72ae7878e18bfb1a28e58f7fd5ea1f56bbbe4

Observation 7a3873b5-8789-4556-9a85-19ba4b7cf5ab · outbound

This paper cites UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.194331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.194331Z digest=sha256:516b290424bf790042101ece78a66529b1086d8e8f1da0d35f76b024e2a86906

Observation 51750bf5-8cc0-4955-9a6a-21315693b1d3 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Learning Transferable Visual Models From Natural Language Supervision

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.273796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.273796Z digest=sha256:ff5518908067f1f0bf10f1d6ee1e5f7145d5ac35552f3a6f49626e7c60333cd9

Observation 2bed482b-d625-492f-aab4-92a292a9fcd9 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis High-Resolution Image Synthesis with Latent Diffusion Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.441730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.441730Z digest=sha256:f97838943b028f370abb6ea7743eccb273766d1e860b8fb37a399301f6e6ae07

Observation 53d177e7-c07a-43cb-a859-9773f44859a2 · outbound

This paper cites Pathways on the image manifold: Image editing via video generation, 2025.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Pathways on the image manifold: Image editing via video generation, 2025

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:34.839305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:27.519189Z digest=sha256:5b4af9768023dcd22e23e6fd5d94a6f282c106d36d1a441382034bc102e9547e

Observation 0912837b-7be2-4506-9683-7809e2b7c9c2 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.573672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.573672Z digest=sha256:871af28caf38982b8c32d28d23268cb41b955b822708f08db99fa3720166c5d9

Observation aa974bee-d64e-4d0a-9454-dd74708d3f55 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.658040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.658040Z digest=sha256:6bea3141ecf9d04e9ecb0dd1d4323aa503c9d60842bb25b308915b0887424e5e

Observation 2e646a31-dff3-4317-92b8-7540b0931263 · outbound

This paper cites OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.768065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.768065Z digest=sha256:04f0fce489c229b4d6df2a49ec53514f0169674a2851b371268d130942718c99

Observation 9bf47773-36cb-4c04-9e88-52b751623f84 · outbound

This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.889742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.889742Z digest=sha256:6dc6b8dc81a328224475247bc0742990038ebd75203ef38cc26121eb4580bb8b

Observation 9520d78b-51aa-498f-88b2-da9757dfdd97 · outbound

This paper cites Emo: Emote portrait alive generating expressive portrait videos with audio2video diffusion model under weak conditions.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Emo: Emote portrait alive generating expressive portrait videos with audio2video diffusion model under weak conditions

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.963363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.963363Z digest=sha256:3ed66d606f7ff3c5d0300bc72084087765b05cfd0ed677258dfe4c3b2d139ab6

Observation 3e20c2e0-2596-4a38-843b-847fc8d1698f · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Wan: Open and Advanced Large-Scale Video Generative Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:28.089019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:28.089019Z digest=sha256:50cd53627b9757af627e630ed159f9cac5e81214de4d9c8f4df35b50f662c9b2

Observation 35f5ae99-6e02-40e4-bc21-64cd33791876 · outbound

This paper cites MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:28.265120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:28.265120Z digest=sha256:a817ad02f9f96ffe79c23884ab712d5b2907a57d03afb01b8f18878050432ad6

Observation 3ef60ca9-376e-400d-a205-e319dc938c54 · outbound

This paper cites Images Speak in Images: A Generalist Painter for In-Context Visual Learning.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Images Speak in Images: A Generalist Painter for In-Context Visual Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:28.364742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:28.364742Z digest=sha256:9bab2fa35098639857ea011297e59d7e40a0e5ae37cab282951d4c74eb4ae448

Observation 02e4607b-721c-426e-87a0-692699a9a502 · outbound

This paper cites Bovik, H.R.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Bovik, H.R

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:28.459005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:28.459005Z digest=sha256:117182368e85a108cfa0a0895cd51fc2ebd169b19df4db33323a89271adbb45b

Observation 648dc1a1-1a9c-4e34-9a3f-2583a7f3dbe5 · outbound

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

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:28.602302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:28.602302Z digest=sha256:108572f4692aa6eab44459eca0af151548dad1501311acaa197f27c55e854f19

Observation 320137bf-3f49-434a-a5a4-e127f3e0da13 · outbound

This paper cites Less-to-More Generalization: Unlocking More Controllability by In-Context Generation.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:29.227782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:29.227782Z digest=sha256:efd32e422cf61fdee715af47e0426f1601d62a4a82c49b9b99fa9f4d2132cb30

Observation 9ac4c8ac-ae23-4bdc-bb24-02da617503d2 · outbound

This paper cites OmniGen: Unified Image Generation.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis OmniGen: Unified Image Generation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:29.727336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:29.727336Z digest=sha256:0a70fa3edd919e102d9268cae88113c588e47d479813a5bcf019ad37c1f9f5a1

Observation 46656ce4-947e-4829-a277-9ea6f2663364 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data, 2024.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Depth anything: Unleashing the power of large-scale unlabeled data, 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:34.560875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:29.934326Z digest=sha256:f194a6f9617a9e71dceafea2ab65cb2dd1542f27c25dbeccf232a80a94ec3218

Observation 9ffd1d01-3d5c-4119-83eb-20b794d517b2 · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer,.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Cogvideox: Text-to-video diffusion models with an expert transformer,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:34.394259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:29.975109Z digest=sha256:a7eeda0434933149eabf294896bd07d4ad036900d57d3e8bba092c6c665d7fae

Observation 7e3fc520-b9d8-428b-9b0c-28d2492af878 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:30.237475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:30.237475Z digest=sha256:447ea27186cc5e2e0cfc6fa65c13bfe7247b71842761cc0d081b035ce1e090ce

Observation bfb670ce-16c0-4764-904c-1859e2507857 · outbound

This paper cites ObjectMover: Generative Object Movement with Video Prior.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis ObjectMover: Generative Object Movement with Video Prior

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:30.408952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:30.408952Z digest=sha256:aea028e8af6a46f3795dc363fb459fdc0443d1f76ca7f7b19eb31005cfd118f0

Observation d2c46835-2ba1-4c49-be0d-83e2a74603b0 · outbound

This paper cites JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:30.525808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:30.525808Z digest=sha256:84dc846b87bdafd2aa99564c30a790afadf306eebbda49ee8a1b1482a7fb34bf

Observation 34811bf5-c029-4d39-b90d-26e15c5fe086 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:30.136888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:30.136888Z digest=sha256:4336a9ec23702321328e87ab4b072f95a6969a6bb183501b67f6a01981d3da6e

Observation 52e12105-c447-46b7-9ad0-6f3318182959 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Adding Conditional Control to Text-to-Image Diffusion Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:30.777391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:30.777391Z digest=sha256:66d3e3d831debd4a823f841e9f6f31de86ba7cb89c51497b8bb7f0788bb36ae6

Observation c2ed3c3a-522d-4ff1-b216-ebdd426cf547 · outbound

This paper cites Framepainter: Endowing interactive image editing with video diffusion priors, 2025.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Framepainter: Endowing interactive image editing with video diffusion priors, 2025

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:34.178606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:30.944749Z digest=sha256:ce8c79dfdacf724659a315f2fc35b877139cdbe088dbd86a4affdc2592b52932

Observation 80d9c484-5c5f-4e4e-baed-abe2d4be1325 · outbound

This paper cites SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:31.038003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:31.038003Z digest=sha256:22bef424de0909fae78453b88249d0c6ad0b405a9b36d2042071cede83a05bf1

Observation b7f7f55a-a9a4-4b17-b60a-7db377a29df6 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis mixup: Beyond Empirical Risk Minimization

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:30.654223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:30.654223Z digest=sha256:cfc8558aa08f9f7eb1e3781ed4921e84ae033b3b47b81531c33e934025a70888

Observation 06d7d17d-210f-457b-8afc-ce0cb217cd38 · outbound

This paper cites Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:31.319577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:31.319577Z digest=sha256:fecbf028119a3c009c9e06ba6ebbe8ae6912bd9198fb29c9455c4c053838b6ba

Observation 2f75b79a-8377-4460-ac67-91195de42a36 · outbound

This paper cites Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:31.447194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:31.447194Z digest=sha256:f069022ac4fb8c9551977f100568d1b886ed2415cac79c91ae73ec75c65b0c0b

Observation d969ff91-810a-4f4d-9b1e-a099d5a0c0c1 · outbound

This paper cites [depth].

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis [depth]

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:33.885043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:31.608564Z digest=sha256:606c508c66052f18806c7e0078aaf004319d676d7b1da35e09ea933a1f64f9c3

Observation 0d46ac32-7a64-40d5-8378-53326c8e5270 · outbound

This paper cites EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:31.157666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:31.157666Z digest=sha256:0b140d0edd83258d639a1e0f7d861829be39989b2e3418b55ee7fdc84b6693dc

Observation 1ffe697d-07fc-421c-bf41-2d15c0dea4e3 · outbound

This paper cites Color: saturation, hue, brightness, and distribution.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Color: saturation, hue, brightness, and distribution

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:33.584390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:31.707544Z digest=sha256:8e0c8a69a26e0f5b21771768951760a54de11d75b62c5f1d41451d5dc119cbbf

Observation 75cb6671-5972-4e80-9b3a-68cbd6ab7db3 · outbound

This paper cites subject_consistency\.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis subject_consistency\

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:33.313391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:53:31.813629Z digest=sha256:d6f7193ae58a34c9d06a671c83ad9fab53df9104f28c8e97405d66ce03ab6078

Observation 4d06814a-e6b6-4d16-954e-52c660e4cdc7 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:23.757908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:23.757908Z digest=sha256:181ac9afde4849bb39729cfb7132ae366cae91471f59faf278e910d235a26499

Observation 66349a54-4bfd-4207-a87b-96befd67ff80 · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:26.559174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:26.559174Z digest=sha256:7748792ed8ad07e1b76c5d753ee46bd60fea66933bf6610a53774d6419c64074

Observation 6f915303-3baa-4906-81ff-311cad3b66b0 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:25.339574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:25.339574Z digest=sha256:e32fe8b011fcba32ead5fcbb6184d74ed5ef551806ed48c14fb9abc4f1371842

Pith citing papers

Observation e603ddbb-b89c-4cf5-a06b-448d4669bad5 · inbound

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences cites this paper.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:55.937172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:55.937172Z digest=sha256:195e1c476cf3cfaa28d69c3a3ae378bb98b8d7c2d8a03e1f329f11051390de70

Observation 9f5f2eb9-e380-41f6-8387-72b8dca5ec5a · inbound

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation cites this paper.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.112233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T18:17:54.943863Z digest=sha256:ea65dafe29b68389c51b1eabe6a62cd41af1dbf09fbbff419ddfa269e078b5f4

Observation 0b48afa5-599c-4ab0-b15a-ff69543bc923 · inbound

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models cites this paper.

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:16:30.482415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T17:42:00.634333Z digest=sha256:51d1ddeb6293554831e63ff3e5b11362da346adbfaa1ae0b1e8612e2f3b89ecd

Observation a3b40466-56f7-4e69-8cc0-a1a7c82659c3 · inbound

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs cites this paper.

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:11:15.477310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T02:10:27.595446Z digest=sha256:feff50066a716c33c356435ab4b36a335aeb208aac6f5ef5c7dc9e9126816180

Observation 23023443-cf99-4bdd-82b2-36e9945fdb08 · inbound

Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling cites this paper.

Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-30T20:27:19.050844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:27:19.050844Z digest=sha256:cc2b4f4695506ad1f7adc3bcc656f8b6f5f850777ec51a7a771ba15c79564c88