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Paper Citation Record · LEDGER

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

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.

pith.paper-citation-record.v1
2412.00100 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:05:33.889739Z

measured 86 of 86 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:46:18.811368Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.269095Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact1
  • verified fuzzy36
  • unresolved32
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b427f629-0549-49a0-8321-fd8a28ddf55f · outbound

This paper cites D-flow: Differentiating through flows for controlled generation.

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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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.

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Observation 3f6b7546-8141-40ff-b124-fb9803937d07 · outbound

This paper cites Synthetic faces high quality (sfhq) dataset,.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Synthetic faces high quality (sfhq) dataset,

Reference 2

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raw_fallback, observed 2026-08-12T11:05:34.969433Z

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.

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Observation b67ade06-beb6-415a-92cf-e09d8e7a91db · outbound

This paper cites Ledits++: Limitless image editing using text-to-image models.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Ledits++: Limitless image editing using text-to-image models

Reference 3

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raw_fallback, observed 2026-08-12T11:05:34.954730Z

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.

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Observation 41270ee0-e54a-4f2b-a502-49d6d4e9d8fa · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.579622Z digest=sha256:79c2af5936b0f9a5521f9ab3f762b96585bc2981200f480e03f7db15a63c1376

Observation 54c9b155-f139-486a-bca2-714aca59dbfc · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

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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source=pdf_text observed=2026-08-12T11:05:33.584545Z digest=sha256:d8b8915cb319858f876bf385b8d3e165cfcbe37666fd76b7db9516b77ef00c62

Observation 3e5b292a-e8ca-4639-af6d-8d08a1898597 · outbound

This paper cites Stargan v2: Diverse image synthesis for multiple domains.

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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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.

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Observation 83b717e1-8ad8-4990-a401-602d3a83e892 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.593732Z digest=sha256:a8bd55d9f78b212619a11b9f952ecd4e8e7efa9d55fc44e2526eb239a47fd10e

Observation 9175314b-d09f-463b-8180-6b2abb11c6be · outbound

This paper cites Parallel diffusion models of operator and image for blind inverse problems.

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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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.915229Z

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=2026-08-12T11:05:33.599598Z digest=sha256:6bff87deb6f7f0cbc8885b031c252762531f9a82bb9bc7072da103df0a1e8211

Observation 38d9bf00-b47e-4dac-b1c7-a836a9cd512d · outbound

This paper cites Diffedit: Diffusion-based semantic image editing with mask guidance.

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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raw_fallback, observed 2026-08-12T11:05:34.900428Z

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=2026-08-12T11:05:33.604548Z digest=sha256:a4970517f86d8388986d4dad5f742779d991a6d95841767476e46ddcfd65f432

Observation bdf08d98-acfc-42c4-a927-18c4501cdb26 · outbound

This paper cites A Survey on Diffusion Models for Inverse Problems.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.609323Z digest=sha256:84f5981f04872ef2cfbf3c5d39b15ca5dfccef94e310860bb4caea74375e9714

Observation 67b46677-e3d3-4c8c-80c9-bbef64bd6b2d · outbound

This paper cites Diffusion models beat gans on image synthesis.

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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raw_fallback, observed 2026-08-12T11:05:34.885356Z

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=2026-08-12T11:05:33.614256Z digest=sha256:871ead83d450669bf8870d319497f33d1683a45d46da7f34913f9daa9eeefe8b

Observation 8c67c04f-4108-4e9f-9844-43c71f3c644a · outbound

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

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.618410Z digest=sha256:3d0c6f757ce49f707b0dc1be98ba2e37839af67201d47b1e8af539aaf78f9134

Observation ea984fcd-8725-4a9c-8c51-1c1cb87ef4ba · outbound

This paper cites Susskind, and Navdeep Jaitly.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Susskind, and Navdeep Jaitly

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.861140Z

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=2026-08-12T11:05:33.622901Z digest=sha256:1ff18263ac4b6342522e63c821a1c13169076ebe6e54ecfe0366f97008063c9c

Observation 21466238-fb74-4a8e-973a-1a30e21d70ac · outbound

This paper cites Man- ifold preserving guided diffusion.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Man- ifold preserving guided diffusion

Reference 14

Resolution
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raw_fallback, observed 2026-08-12T11:05:34.846469Z

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=2026-08-12T11:05:33.627178Z digest=sha256:fc58d8efe58f7d799c541d90b14cd057f3b6f89f288ebd6f76b1798545739abf

Observation c0275c4f-957e-412f-a82a-b51d814fda5e · outbound

This paper cites Prompt-to-prompt image editing with cross-attention control.

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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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.831859Z

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=2026-08-12T11:05:33.631643Z digest=sha256:770bbb2dbc20e728c03549f78dabf7a19b4ceede8c8134a3572d9e92a22b3ec2

Observation 7c58f85c-f9e3-4221-81f6-1cf542d90dea · outbound

This paper cites Classifier-Free Diffusion Guidance.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Classifier-Free Diffusion Guidance

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.635714Z digest=sha256:d68eeaeb0ac913b6ee4302cbfbed169851e481e908a097908028bf53eba68216

Observation 8d39410a-61e1-4868-bba7-2e0c2e07922a · outbound

This paper cites Diffusion Model-Based Image Editing: A Survey.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1547abfb-51e5-4469-ab9c-abb86f7f9964 · outbound

This paper cites An edit friendly ddpm noise space: Inversion and manipulations.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.644857Z digest=sha256:7b41c5ed994eb160583540d6fbb27121a367c666cd67702410d2970849758ee7

Observation 5632ff15-2aae-4468-8aeb-2628b1b6e11d · outbound

This paper cites Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T11:05:33.650106Z digest=sha256:3d53ba3e89600116b1910f080be52e5df3cf5f3fa7b185fe39049cec2249f8c0

Observation 1b905adb-727b-4fb2-8250-bcf2e682da1b · outbound

This paper cites Wouaf: Weight modulation for user attri- bution and fingerprinting in text-to-image diffusion models.

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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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.807992Z

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=2026-08-12T11:05:33.655051Z digest=sha256:31350d8a1338e8a506bc4ec525d2c71c12000e596288f1154441e7555b10b72e

Observation 655eb514-fcf5-4a26-b427-5861dcaa850e · outbound

This paper cites R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.659358Z digest=sha256:fab5bb81569bbee2011d4aba20987458ab52ffe8bd775479b85bcb3e938f5cc7

Observation 74896a20-5c8f-416f-9b4e-5e31c9b6032d · outbound

This paper cites Improving the Training of Rectified Flows.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Improving the Training of Rectified Flows

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.663933Z digest=sha256:1d0b1730669b372b09e0e28b5020b92d9cad10554e032169598b9e44d2a293dc

Observation 769f37e9-2608-4fef-81a7-39ba378993d3 · outbound

This paper cites an unresolved cited work.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.669065Z digest=sha256:91f712491e689b0aebe6dd3072bf8d6af5ccc0b100ceffe8052482d2eda7f311

Observation 0a9a87a4-3df5-4722-ac41-f5145c9e3cbf · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

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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raw_fallback, observed 2026-08-12T11:05:34.783200Z

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=2026-08-12T11:05:33.673726Z digest=sha256:c01de86f0b26194bc6b6c19f015845a8e315990a17d096908bfeda57ededb02e

Observation fd256442-aaf7-4462-b4c9-95ee99682268 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.768301Z

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=2026-08-12T11:05:33.678046Z digest=sha256:aea3b69ffad0f072b73f470b87c83047f7887aba4ebf071f2b8069572dc67add

Observation c389b5d7-359b-48d0-8040-bd753c63238c · outbound

This paper cites Deep learning face attributes in the wild.

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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no resolver link, observed 2026-08-12T11:05:33.682374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.682374Z digest=sha256:a1abbab95cddaa10e1e3450f3ea082ffda904b1b022484e4d670b32cf4b8f71d

Observation 4d93549d-6ca3-4780-80e6-24435dfafc9c · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.687280Z digest=sha256:bf48edc49b447112c9c4e992a3880e3b9fe065219f8901dc4a4cb85e2f28d163

Observation f128bf4f-ec89-4cc2-9347-bb890e04c56c · outbound

This paper cites PnP-Flow: Plug-and-Play Image Restoration with Flow Matching.

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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unresolved
no resolver link, observed 2026-08-12T11:05:33.693040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.693040Z digest=sha256:bb005978d0181db899244a399f73fc6d265d5b9ef928dacfcd4bc3f50d855a07

Observation d9a043b9-0339-4e1d-a638-cbf27ed30121 · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equa- tions.

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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unresolved
no resolver link, observed 2026-08-12T11:05:33.697786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.697786Z digest=sha256:c8d5978190dd3252177b99cf038d05a7b4b3dba440bc9b516385453e6246f601

Observation ba9339ba-518b-40d3-a9b2-823990172cb2 · outbound

This paper cites Null-text inversion for editing real im- ages using guided diffusion models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.730094Z

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=2026-08-12T11:05:33.702227Z digest=sha256:a0dbab2f9002482eba06e5c99e6c0ddbff073bf5d727934f4472e2441a0b4df7

Observation 005b322c-3b36-4fdc-aceb-bfb2277da58e · outbound

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

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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no resolver link, observed 2026-08-12T11:05:33.706523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.706523Z digest=sha256:23a0e2b27777edadbf0d0960f350fbda6a53c8df23bfae8f876ef6edf58265fb

Observation 82551d5d-a0cd-4626-90e5-6cefaed1cc6c · outbound

This paper cites $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space.

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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no resolver link, observed 2026-08-12T11:05:33.711168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.711168Z digest=sha256:cc9c3e2182d98713f2dd48c3b78dfb3d4c5cd271d88a32b333278a4c1cb384ed

Observation 118adbe3-fe40-47e7-8d40-67d3ddc4f5e7 · outbound

This paper cites Eclipse: A resource-efficient text-to- image prior for image generations.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.712666Z

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=2026-08-12T11:05:33.715471Z digest=sha256:2eea02a90d260dc84390fa695c9aba8f36ee9a01f9fb6e5ea02fb06f92130014

Observation 26e05765-871c-42fa-94e3-1f2841b15ca7 · outbound

This paper cites Improving dif- fusion models for inverse problems using optimal posterior covariance.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.697134Z

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=2026-08-12T11:05:33.719788Z digest=sha256:c5136f42404149ba6f6f0e541f14aebadd3e0bfe8a811278200ef1ef2a2d412d

Observation a178be5f-5120-41f3-a641-6f674e9dff98 · outbound

This paper cites Muckley, Ricky T.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Muckley, Ricky T

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.681133Z

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=2026-08-12T11:05:33.725275Z digest=sha256:6a12110f89a28adcf3add3266ba8693ed1ea36a38480d007abbf3cfb8decb74e

Observation 5f827382-bbca-48da-b34c-7e3fb7f3434c · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

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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source=pdf_text observed=2026-08-12T11:05:33.730408Z digest=sha256:0b29a949239f5ce661f320d0d62f2a8d069bb54e8e851f0c78b468e2a7766453

Observation f9fc6e58-9e9d-4040-a2e5-b6d88d93ae41 · outbound

This paper cites Barron, and Ben Milden- hall.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Barron, and Ben Milden- hall

Reference 37

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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=2026-08-12T11:05:33.735433Z digest=sha256:b76b98c7cbd66347d0e26284c7dc351269fa238ec4abc0405fafc564c40d4f6b

Observation af0d6cd3-3ded-4aef-8690-2256df2c0d20 · outbound

This paper cites Learning transferable visual models from natural language supervision.

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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raw_fallback, observed 2026-08-12T11:05:34.650057Z

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=2026-08-12T11:05:33.740079Z digest=sha256:942acab0d338f64de286fd05b07781a3c9a12f92eb3dc2cd503f25a18111d912

Observation 7800d839-39fc-4d32-ad80-600975d30103 · outbound

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

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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source=pdf_text observed=2026-08-12T11:05:33.744546Z digest=sha256:842e39cec305c9b026478db70e22742ac3936234a41d7fab9fb13a32c2987178

Observation a5f2b641-de0f-4017-a1b6-f68ce840c16d · outbound

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

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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source=pdf_text observed=2026-08-12T11:05:33.749242Z digest=sha256:d25a385ecf65cf1854c697ac7c3f63e624e7988026e14c56cb610663c2e4a071

Observation 8599393c-f96d-467e-ae5f-44871211ec27 · outbound

This paper cites Beyond first-order tweedie: Solving inverse problems using latent diffusion.

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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raw_fallback, observed 2026-08-12T11:05:34.625220Z

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=2026-08-12T11:05:33.753556Z digest=sha256:a83aeb369c2319ae566af5ecd57591a6cb077174f28aa2224ef56775bc847bf9

Observation 73376b5a-e102-4f41-82b0-e7e0d7f4c884 · outbound

This paper cites Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T11:05:33.757991Z digest=sha256:34b9e12cf3102a7c8b2e8945b97abe8834d4bade54e02e8793f6bcff6d56ee48

Observation 222a0bb3-284c-4b7a-a94c-96dc657dd9fc · outbound

This paper cites Solving linear inverse problems provably via posterior sampling with latent diffusion models.

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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raw_fallback, observed 2026-08-12T11:05:34.610886Z

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=2026-08-12T11:05:33.763225Z digest=sha256:9d3b43a71459cff078f5387f7fb773227862d369b8ba084f2a5fdfcd188dae39

Observation 68834896-a691-423c-82c0-4feb39892203 · outbound

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

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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source=pdf_text observed=2026-08-12T11:05:33.767707Z digest=sha256:6af90e9a765a678f44fdedbcfb84d98b12295bfe13362a86bb4af2b48410b71e

Observation 3a2cff74-35de-4f1d-b3a1-5f3c2e171e68 · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

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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source=pdf_text observed=2026-08-12T11:05:33.771998Z digest=sha256:94f2096e3a81ae27607659ece032cf4902c14732adc3a5da6c7685f738a96b68

Observation cff79ddd-2b22-4331-aba1-903e4c50ca7f · outbound

This paper cites Solving inverse problems with 11 latent diffusion models via hard data consistency.

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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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.577782Z

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=2026-08-12T11:05:33.776172Z digest=sha256:62d05dd5930e95b58dc06e313a238ed16af472c9f7646fcc7d09e175f1b670cc

Observation b68b0570-55f9-4e27-a0e1-e1abcdb92355 · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Pseudoinverse-guided diffusion models for inverse problems

Reference 47

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raw_fallback, observed 2026-08-12T11:05:34.562566Z

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=2026-08-12T11:05:33.780646Z digest=sha256:02cacfeaa5d85eccbbeee316291fbe333e2bf77524af24036a4ed1a7a929a0ac

Observation f9c46c9b-521a-4419-81c4-7e3ddbe4f8bc · outbound

This paper cites Rectifid: Personalizing rectified flow with anchored classifier guidance.

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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raw_fallback, observed 2026-08-12T11:05:34.070162Z

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=2026-08-12T11:05:33.785203Z digest=sha256:59840d57acc4d83939da478495744e7c99adff815594d8714f1935805cf4740c

Observation f5049c4e-3ed1-4aca-bf3f-e459cba205d9 · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T11:05:33.789475Z digest=sha256:3ad3703ae0cbde2c0794f423e22241b08f0b93455f3947c3e52aba42570c6119

Observation f350741e-98c5-4df4-8ad1-ac51d14e70ba · outbound

This paper cites Bovik, H.R.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Bovik, H.R

Reference 50

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T11:05:33.794057Z digest=sha256:4e53192c4583d465aaa7b33ac54214b42524fa64fb1ae379b6219c4401c44a88

Observation a8caaaa9-586d-47cd-8513-91649b869673 · outbound

This paper cites TurboEdit: Instant text-based image editing.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation TurboEdit: Instant text-based image editing

Reference 51

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source=pdf_text observed=2026-08-12T11:05:33.798726Z digest=sha256:4b17c3e042c0e8233e8d1e5a5fc76eb91ef57fa8026fc8009c1b970cb26334af

Observation 5881da94-cac6-43a8-8708-8a9c1aad7995 · outbound

This paper cites Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

Reference 52

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source=pdf_text observed=2026-08-12T11:05:33.803422Z digest=sha256:f916efcd8da35929cbc21296f5c32cb619c4cc5146727b9cb9b3aba092d303ac

Observation 6b28176d-7326-4007-8f29-4dc60f73e7df · outbound

This paper cites Inversion-Free Image Editing with Natural Language.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Inversion-Free Image Editing with Natural Language

Reference 53

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T11:05:33.807873Z digest=sha256:38ec62b11f762372d96588f9e097860f0d2d7e7510e2da416c462e1834d838b4

Observation 3affc3fd-fed4-4839-b3a0-5b38b178682a · outbound

This paper cites Text-to-Image Rectified Flow as Plug-and-Play Priors.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Text-to-Image Rectified Flow as Plug-and-Play Priors

Reference 54

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no resolver link, observed 2026-08-12T11:05:33.812360Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T11:05:33.812360Z digest=sha256:dc19ad34cdfa3c62fa1d04bb6ed371aa4a3926beaa20e3da2df2819b4e7c16c2

Observation b96caa14-c609-43ff-854c-8888af509f71 · outbound

This paper cites One-step diffusion with distribution matching distillation.

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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raw_fallback, observed 2026-08-12T11:05:34.537916Z

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=2026-08-12T11:05:33.816914Z digest=sha256:de33b9cad958fffe77d947614791e1429c768129f15e21b579f04c10b63f5e93

Observation 052f6e3e-4040-4a8f-adca-33bb4f6f954c · outbound

This paper cites Freedom: Training-free energy-guided condi- tional diffusion model.

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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raw_fallback, observed 2026-08-12T11:05:34.522530Z

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=2026-08-12T11:05:33.821507Z digest=sha256:b2b3f71ce916225d519f1622d785d5ca8dbe7784db1055c3955bd64492dc4d89

Observation 61e5f2ac-c727-4ac7-a853-cbfc1354a446 · outbound

This paper cites Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:33.825897Z digest=sha256:2da21432a98e0094168cd97a324d896122769dabe7e424fc36ab191de08993be

Observation d442ab4c-32fc-47ca-9283-248acd8691d5 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

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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raw_fallback, observed 2026-08-12T11:05:34.496980Z

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=2026-08-12T11:05:33.830248Z digest=sha256:35e3409e923fb4a89497dcd16d9c3608a09ff448597595c4ec3e72fa95215b27

Observation 353931f6-d8c2-4a66-a8a5-b79382bd1ccd · outbound

This paper cites • Section 9: Theorem 4.3 proof.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation • Section 9: Theorem 4.3 proof

Reference 59

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raw_fallback, observed 2026-08-12T11:05:34.482700Z

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=2026-08-12T11:05:33.834860Z digest=sha256:e625f285d9c935c1de890474d91c88da5f06a9149616430d4427df9924007102

Observation 5b8d9bb3-4f2f-4e7e-a6ae-e1f99471d140 · outbound

This paper cites Let p1 ∼ N(0, I) be the noise distribu- tion and p0 be the data distribution.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Let p1 ∼ N(0, I) be the noise distribu- tion and p0 be the data distribution

Reference 60

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raw_fallback, observed 2026-08-12T11:05:34.468982Z

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=2026-08-12T11:05:33.839520Z digest=sha256:1ba8f27257690fe826bd83c266cdae115f7cabf07a45d95c6e3cdc257f099b33

Observation 278ac40f-8432-4c1d-9e35-544c10ca2b3b · outbound

This paper cites Let uθ : Rd × [0, T] → Rd be the velocity function with the parameter θ.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Let uθ : Rd × [0, T] → Rd be the velocity function with the parameter θ

Reference 61

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raw_fallback, observed 2026-08-12T11:05:34.454652Z

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=2026-08-12T11:05:33.844363Z digest=sha256:fc71b75cebca8942490d1dcc6f9a27f56b074ee804ac3f9ab0c94397fc6cfe5e

Observation 79d57c43-4d91-4e08-b50a-637c8b09d026 · outbound

This paper cites (36) The accuracy of this numerical integration is crucial, as errors can accumulate over time, leading to deviations from the desired trajectory.

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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raw_fallback, observed 2026-08-12T11:05:34.440863Z

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=2026-08-12T11:05:33.848839Z digest=sha256:7748134d1c91b10b1481a3c3b74e770d973200f59c755e12f81878c5e5ffbc62

Observation 5bc6371a-86dc-415f-b5d4-dfcc0ed0bc67 · outbound

This paper cites an unresolved cited work.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Unresolved cited work

Reference 63

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raw_fallback, observed 2026-08-12T11:05:34.427142Z

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=2026-08-12T11:05:33.853485Z digest=sha256:7546afdb01578b4a1f3a0ac7e645db16e68af3730b3fbde0504e7cf390954551

Observation ab6b0106-976b-4657-82c2-9b0c11b39749 · outbound

This paper cites To com- plement the theory, we conducted an empirical analysis on large-scale RFMs to validate the Assumptions, Propo- sitions, Lemmas, and Theorems presented.

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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raw_fallback, observed 2026-08-12T11:05:34.413173Z

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=2026-08-12T11:05:33.857906Z digest=sha256:d2047db2be8ae774c5f34700c0f5ea50dca52faaf75e801ebf4e809d3e6dd321

Observation ab03d835-668a-45a5-8110-1cb9235a7d6b · outbound

This paper cites Image Editing.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Image Editing

Reference 65

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raw_fallback, observed 2026-08-12T11:05:34.398767Z

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=2026-08-12T11:05:33.862313Z digest=sha256:3697898bfed47ee4b8d848b455d8e5b3b218c77de503381ae8ba396e9fae6737

Observation 24ecb072-514e-4afe-9c4e-b8186b1e7a34 · outbound

This paper cites To achieve this, we 5 Hyperparameter OT-ODE D-Flow PnP-Flow FlowChef Iterations / NFEs 200 20 50 200 Optimization per iteration 1 - - 1 Optimization per denoising - 50 - - Avg.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation To achieve this, we 5 Hyperparameter OT-ODE D-Flow PnP-Flow FlowChef Iterations / NFEs 200 20 50 200 Optimization per iteration 1 - - 1 Optimization per denoising - 50 - - Avg

Reference 66

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raw_fallback, observed 2026-08-12T11:05:34.384835Z

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=2026-08-12T11:05:33.867314Z digest=sha256:fa38ffbb84611aba66d15e729fe687005f47973cde75e6273a7856fbcb9f2852

Observation e6c0997f-e226-40e4-b6c9-3f2037c81648 · outbound

This paper cites Pixel-Space Models.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Pixel-Space Models

Reference 67

Resolution
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raw_fallback, observed 2026-08-12T11:05:34.368610Z

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=2026-08-12T11:05:33.872414Z digest=sha256:43bdded07e33969487894e239c29a2f404c186d1fef1ff8aae6fc7a11140fa14

Observation 0f6c8571-a56b-44cb-b842-29f01b5adfc0 · outbound

This paper cites wearing glasses.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation wearing glasses

Reference 68

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raw_fallback, observed 2026-08-12T11:05:34.354178Z

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=2026-08-12T11:05:33.876902Z digest=sha256:0c5cf87da6634285e0e700ae12a8515f829e50e81660902d8269650cc32c4d95

Observation 008f699f-e730-4261-be91-3131a9eee9d5 · outbound

This paper cites wearing glasses.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation wearing glasses

Reference 69

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T11:05:34.340074Z

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=2026-08-12T11:05:33.881221Z digest=sha256:695798a916ce1414852f47db79e928c5ad79dcd0415a6199bef31c0c0fd6b462

Observation 8d42b26f-4809-4766-887d-0fd97608bea8 · outbound

This paper cites For tasks such as changing materials or removing objects, FlowChef outperforms the baselines significantly.

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

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.325077Z

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=2026-08-12T11:05:33.885534Z digest=sha256:7bc7265a3bfebcd58a445db408417a63d6034aebfa3dd56e06a0975368e9a88c

Observation fa3fae67-9ce9-41ad-9a36-cb67b3852ec0 · outbound

This paper cites While FlowChef represents a significant leap in steering RFMs for controlled generation, it shares some limitations with its baseline counterparts.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation While FlowChef represents a significant leap in steering RFMs for controlled generation, it shares some limitations with its baseline counterparts

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-12T11:05:34.310307Z

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=2026-08-12T11:05:33.889739Z digest=sha256:a44483f3937589576dce8b91c8b0c59d6c5c8b361699efcf4bf58487218539e4

Pith citing papers

Observation dd6beb41-402e-4df3-b5ab-eee74a0b8a84 · inbound

UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models cites this paper.

UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:55:03.381659Z

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=2026-05-22T18:52:47.520861Z digest=sha256:125ecc11a5b0fe315be4083a78336579b35852c595d40d2f082df64c0b474914

Observation 4ecccd3d-a63d-4948-89e1-f8f98d0cdc34 · inbound

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion cites this paper.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:18.811368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:46:18.811368Z digest=sha256:a5486c4fff4f7fae7424e4a42902c662e77f8492f3236225b8b5e01c446def79

Observation 4e0c68d1-5825-4b71-b71c-010560e75577 · inbound

Delta Rectified Flow Sampling for Text-to-Image Editing cites this paper.

Delta Rectified Flow Sampling for Text-to-Image Editing Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.550061Z

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=2026-05-18T19:02:18.176561Z digest=sha256:e665436a431f520a5574575a8be3ce73d4989a8bec1a1c75beafc64ce78551fa

Observation 80dca146-41f6-4ca3-be71-9831003ad7ae · inbound

Saving Foundation Flow-Matching Priors for Inverse Problems cites this paper.

Saving Foundation Flow-Matching Priors for Inverse Problems Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:40:15.074476Z

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=2026-05-17T20:36:13.408128Z digest=sha256:834616d8857eb3b6c7b42086098dadb409dc071417794e078edd073125a7b51a

Observation 2d0235e5-c742-4fc6-bd87-c195cc3bf939 · inbound

Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment cites this paper.

Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T21:07:14.651135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:07:14.651135Z digest=sha256:a8477a235bb2dc4869f53f5843dea77fb64721b1142620577ca90c03090689f5

Observation 67ccba24-3bd4-4ac5-a0d0-c420fd3eb624 · inbound

FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers cites this paper.

FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:43:45.337304Z

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=2026-05-17T00:41:41.917009Z digest=sha256:03de21d3a6c4cc2946476eeb5ff00358403d1196e5ac78ac233a293a5e938f0e

Observation 856ed039-8b35-44fc-804a-8837128054c5 · inbound

Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance cites this paper.

Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T20:21:13.506774Z

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=2026-05-16T20:19:38.215068Z digest=sha256:7f4d03066676f336b54c559af58c7f6e21971c9439f64ba8a5e4b7c077924682

Observation e0ae1f79-7315-4a66-9679-64b3abfc369c · inbound

Solving Inverse Problems with Flow-based Models via Model Predictive Control cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-03T06:26:57.392296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T06:26:57.392296Z digest=sha256:35dac9a2e3ee037e67194085f684dc9c47d0e875069dfed55252ee4e5d820018

Observation b0738b4a-6f79-4270-a34f-5c8861729f37 · inbound

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection cites this paper.

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T20:36:35.308662Z

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=2026-05-15T20:33:09.627731Z digest=sha256:79b93c5efef31844585a57f30f3337b09d914ea7d37461f987519609ca8fff09

Observation 6ab68a9e-9b84-4f68-baa6-3f5376891494 · inbound

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-02T19:06:10.405833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:06:10.405833Z digest=sha256:fb814013e83a8cd8b7195d09f68db5051b39cd5ef30ff2601a3171cc374a391f

Observation 50504111-2636-4d01-96b0-55171bc83a1a · inbound

Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:03:51.246432Z

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=2026-06-29T19:01:18.504780Z digest=sha256:7f687be1716322c1dfd5c81be1638027d3acbcd7661c25604fb98f9edfff3b06

Observation e4cd099a-e823-433c-b8e2-6adc3031a5a6 · inbound

PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:19:47.270629Z

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=2026-06-26T09:00:37.321663Z digest=sha256:a76ba4f98d1ee2ec676965067929169356cb40a1d5fc585b548cadba1812e19b

Observation bfd3beda-8269-445d-95cc-af2425a5e97c · inbound

Stochastic Optimal Control Sampling for Diffusion Inverse Problems cites this paper.

Stochastic Optimal Control Sampling for Diffusion Inverse Problems Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:54:40.563257Z

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=2026-06-30T09:45:27.322571Z digest=sha256:dada090e59bdd47daf6ea40bf465bdaa1864a48bb97992b4bd0e6574528f665e

Observation 84ea2dbd-df1a-49f8-b9bf-96a8acefbb98 · inbound

DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-07-11T23:10:33.541046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:10:33.541046Z digest=sha256:4252d5f46b22f1526e90e34da6bc5e5b41bc8b5c20b8877def605c553abefe42

Observation 217f942b-e416-43dc-b377-41664c21cb1e · inbound

Do Unified Multimodal Models Think in One Space? A Lens Through Cross-Branch Steering cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T16:36:39.322692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:36:39.322692Z digest=sha256:b882a18da69c5c5a49d140141c4cf56f640afce1c9af540732d38807817eba9d