Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:05:33.889739Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 15 inbound Pith citation observations for arXiv:2412.00100.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:05:33.889739Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:46:18.811368Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:19:47.269095Z
71 of 71 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b427f629-0549-49a0-8321-fd8a28ddf55f · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation D-flow: Differentiating through flows for controlled generation
Reference 1
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Observation 3f6b7546-8141-40ff-b124-fb9803937d07 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Synthetic faces high quality (sfhq) dataset,
Reference 2
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Observation b67ade06-beb6-415a-92cf-e09d8e7a91db · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Ledits++: Limitless image editing using text-to-image models
Reference 3
Source-reported events for the cited work
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Observation 41270ee0-e54a-4f2b-a502-49d6d4e9d8fa · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Large Scale GAN Training for High Fidelity Natural Image Synthesis
Reference 4
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Observation 54c9b155-f139-486a-bca2-714aca59dbfc · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation In- structpix2pix: Learning to follow image editing instructions
Reference 5
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Observation 3e5b292a-e8ca-4639-af6d-8d08a1898597 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Stargan v2: Diverse image synthesis for multiple domains
Reference 6
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Observation 83b717e1-8ad8-4990-a401-602d3a83e892 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Diffusion Posterior Sampling for General Noisy Inverse Problems
Reference 7
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Observation 9175314b-d09f-463b-8180-6b2abb11c6be · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Parallel diffusion models of operator and image for blind inverse problems
Reference 8
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Observation 38d9bf00-b47e-4dac-b1c7-a836a9cd512d · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Diffedit: Diffusion-based semantic image editing with mask guidance
Reference 9
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Observation bdf08d98-acfc-42c4-a927-18c4501cdb26 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation A Survey on Diffusion Models for Inverse Problems
Reference 10
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Observation 67b46677-e3d3-4c8c-80c9-bbef64bd6b2d · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Diffusion models beat gans on image synthesis
Reference 11
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Observation 8c67c04f-4108-4e9f-9844-43c71f3c644a · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Scaling recti- fied flow transformers for high-resolution image synthesis
Reference 12
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Observation ea984fcd-8725-4a9c-8c51-1c1cb87ef4ba · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Susskind, and Navdeep Jaitly
Reference 13
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Observation 21466238-fb74-4a8e-973a-1a30e21d70ac · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Man- ifold preserving guided diffusion
Reference 14
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Observation c0275c4f-957e-412f-a82a-b51d814fda5e · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Prompt-to-prompt image editing with cross-attention control
Reference 15
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Observation 7c58f85c-f9e3-4221-81f6-1cf542d90dea · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Classifier-Free Diffusion Guidance
Reference 16
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Observation 8d39410a-61e1-4868-bba7-2e0c2e07922a · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Diffusion Model-Based Image Editing: A Survey
Reference 17
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Observation 1547abfb-51e5-4469-ab9c-abb86f7f9964 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation An edit friendly ddpm noise space: Inversion and manipulations
Reference 18
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Observation 5632ff15-2aae-4468-8aeb-2628b1b6e11d · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
Reference 19
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Observation 1b905adb-727b-4fb2-8250-bcf2e682da1b · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Wouaf: Weight modulation for user attri- bution and fingerprinting in text-to-image diffusion models
Reference 20
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model
Reference 21
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Observation 74896a20-5c8f-416f-9b4e-5e31c9b6032d · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Improving the Training of Rectified Flows
Reference 22
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Observation 769f37e9-2608-4fef-81a7-39ba378993d3 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Unresolved cited work
Reference 23
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Observation 0a9a87a4-3df5-4722-ac41-f5145c9e3cbf · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Flow straight and fast: Learning to generate and transfer data with rectified flow
Reference 24
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Observation fd256442-aaf7-4462-b4c9-95ee99682268 · outbound
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Reference 25
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Observation c389b5d7-359b-48d0-8040-bd753c63238c · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Deep learning face attributes in the wild
Reference 26
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Observation 4d93549d-6ca3-4780-80e6-24435dfafc9c · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Reference 27
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Observation f128bf4f-ec89-4cc2-9347-bb890e04c56c · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Reference 28
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Observation d9a043b9-0339-4e1d-a638-cbf27ed30121 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation SDEdit: Guided image synthesis and editing with stochastic differential equa- tions
Reference 29
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Observation ba9339ba-518b-40d3-a9b2-823990172cb2 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Null-text inversion for editing real im- ages using guided diffusion models
Reference 30
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Observation 005b322c-3b36-4fdc-aceb-bfb2277da58e · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Reference 31
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Observation 82551d5d-a0cd-4626-90e5-6cefaed1cc6c · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Reference 32
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Observation 118adbe3-fe40-47e7-8d40-67d3ddc4f5e7 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Eclipse: A resource-efficient text-to- image prior for image generations
Reference 33
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Observation 26e05765-871c-42fa-94e3-1f2841b15ca7 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Improving dif- fusion models for inverse problems using optimal posterior covariance
Reference 34
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Observation a178be5f-5120-41f3-a641-6f674e9dff98 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Muckley, Ricky T
Reference 35
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Observation 5f827382-bbca-48da-b34c-7e3fb7f3434c · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Movie Gen: A Cast of Media Foundation Models
Reference 36
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Observation f9fc6e58-9e9d-4040-a2e5-b6d88d93ae41 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Barron, and Ben Milden- hall
Reference 37
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Observation af0d6cd3-3ded-4aef-8690-2256df2c0d20 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Learning transferable visual models from natural language supervision
Reference 38
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Observation 7800d839-39fc-4d32-ad80-600975d30103 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 39
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Observation a5f2b641-de0f-4017-a1b6-f68ce840c16d · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation High-resolution image synthesis with latent diffusion models
Reference 40
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Observation 8599393c-f96d-467e-ae5f-44871211ec27 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Beyond first-order tweedie: Solving inverse problems using latent diffusion
Reference 41
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Observation 73376b5a-e102-4f41-82b0-e7e0d7f4c884 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
Reference 42
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Observation 222a0bb3-284c-4b7a-a94c-96dc657dd9fc · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Solving linear inverse problems provably via posterior sampling with latent diffusion models
Reference 43
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Observation 68834896-a691-423c-82c0-4feb39892203 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Photorealistic text-to-image diffusion models with deep language understanding
Reference 44
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Observation 3a2cff74-35de-4f1d-b3a1-5f3c2e171e68 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Make-a-video: Text-to-video generation without text-video data
Reference 45
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Observation cff79ddd-2b22-4331-aba1-903e4c50ca7f · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Solving inverse problems with 11 latent diffusion models via hard data consistency
Reference 46
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Reference 47
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Rectifid: Personalizing rectified flow with anchored classifier guidance
Reference 48
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Reference 49
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Bovik, H.R
Reference 50
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Observation a8caaaa9-586d-47cd-8513-91649b869673 · outbound
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation TurboEdit: Instant text-based image editing
Reference 51
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Reference 52
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Reference 53
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Observation 3affc3fd-fed4-4839-b3a0-5b38b178682a · outbound
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Reference 54
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation One-step diffusion with distribution matching distillation
Reference 55
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Freedom: Training-free energy-guided condi- tional diffusion model
Reference 56
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Reference 57
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation The unreasonable effectiveness of deep features as a perceptual metric
Reference 58
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Reference 59
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Reference 60
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Reference 61
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation (36) The accuracy of this numerical integration is crucial, as errors can accumulate over time, leading to deviations from the desired trajectory
Reference 62
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Reference 63
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation To com- plement the theory, we conducted an empirical analysis on large-scale RFMs to validate the Assumptions, Propo- sitions, Lemmas, and Theorems presented
Reference 64
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Reference 65
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Reference 66
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Reference 67
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Reference 68
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Reference 69
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Steering Rectified Flow Models in the Vector Field for Controlled Image Generation For tasks such as changing materials or removing objects, FlowChef outperforms the baselines significantly
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Reference 71
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Reference 42
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Reference 30
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Reference 16
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Observation 2d0235e5-c742-4fc6-bd87-c195cc3bf939 · inbound
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Observation 67ccba24-3bd4-4ac5-a0d0-c420fd3eb624 · inbound
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Reference 17
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Reference 10
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.
Observation e0ae1f79-7315-4a66-9679-64b3abfc369c · inbound
Solving Inverse Problems with Flow-based Models via Model Predictive Control Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Reference 36
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Unavailable: canonical work link unavailable.
Observation b0738b4a-6f79-4270-a34f-5c8861729f37 · inbound
RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Reference 28
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6ab68a9e-9b84-4f68-baa6-3f5376891494 · inbound
MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Reference 23
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Unavailable: canonical work link unavailable.
Observation 50504111-2636-4d01-96b0-55171bc83a1a · inbound
Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Reference 25
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e4cd099a-e823-433c-b8e2-6adc3031a5a6 · inbound
PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Reference 10
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bfd3beda-8269-445d-95cc-af2425a5e97c · inbound
Stochastic Optimal Control Sampling for Diffusion Inverse Problems Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Reference 28
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 84ea2dbd-df1a-49f8-b9bf-96a8acefbb98 · inbound
DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Reference 23
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Observation 217f942b-e416-43dc-b377-41664c21cb1e · inbound
Do Unified Multimodal Models Think in One Space? A Lens Through Cross-Branch Steering Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Reference 43
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