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Paper Citation Record · LEDGER

Single Trajectory Distillation for Accelerating Image and Video Style Transfer

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.18945.

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

pith.paper-citation-record.v1
2412.18945 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:23:04.407807Z

measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

44 of 44 outbound references displayed

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  • unresolved33
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Outbound references

Observation deff2e17-8fe1-449d-b96c-69bec2bcd809 · outbound

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

Single Trajectory Distillation for Accelerating Image and Video Style Transfer In- structpix2pix: Learning to follow image editing instructions

Reference 1

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source=pdf_text observed=2026-08-11T04:23:04.161406Z digest=sha256:b2cc46b09c532a0c64936358068724959d91ce9ad3ca43da7dc9e1153bfe96e2

Observation 4441f8be-f0a2-438d-8121-9ae5da0533f9 · outbound

This paper cites Laion: Image data, ai, and disposses- sion.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Laion: Image data, ai, and disposses- sion

Reference 2

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source=pdf_text observed=2026-08-11T04:23:04.166917Z digest=sha256:9a943fd4f98027c7f70af3f428163ca6211fabcc5558ecd689f2af55a73c666f

Observation 505c5f3f-30c4-4aab-ae9b-8b5609e0e3e4 · outbound

This paper cites Ar- tadapter: Text-to-image style transfer using multi-level style encoder and explicit adaptation.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Ar- tadapter: Text-to-image style transfer using multi-level style encoder and explicit adaptation

Reference 3

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source=pdf_text observed=2026-08-11T04:23:04.172664Z digest=sha256:54cd107420537c06d190030839fe34115a8ffc6a1cf9c4a0f223aafbdc4a2bc0

Observation ced171ce-64c4-4216-9843-775669d8db2e · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Panda-70m: Captioning 70m videos with multiple cross-modality teachers

Reference 4

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source=pdf_text observed=2026-08-11T04:23:04.177848Z digest=sha256:3e81d63c93261cd96c670fcfedf17449c61c9b627ebe81a288fbba392e9ec884

Observation 68ccabb8-6845-4f93-a1cf-06f4bb1f1607 · outbound

This paper cites Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models

Reference 5

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Observation 0723afec-696f-4694-bc2c-1b4fdd56a410 · outbound

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

Single Trajectory Distillation for Accelerating Image and Video Style Transfer An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 6

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source=pdf_text observed=2026-08-11T04:23:04.188701Z digest=sha256:bdd7882fec2a01633f9d1f4aeceed84d13e86a639f43ffc30486fccd0372fe99

Observation f06a4687-fdb1-4677-bde0-7270274e11b6 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 7

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source=pdf_text observed=2026-08-11T04:23:04.194550Z digest=sha256:690ae6e9ba4d80f74324675c3ba3e57c323f76e82724e53237337f6c70f9eb12

Observation 32b163b8-f7e5-4db0-9abd-2a78adf90695 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Denoising dif- fusion probabilistic models

Reference 8

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source=pdf_text observed=2026-08-11T04:23:04.200148Z digest=sha256:cd8a6f5dd1780b800bd3e6bd27759f81fd43c4ff337fac240e93fb9866d19835

Observation 6b7c04e8-090b-46b3-8119-56e9006edfe8 · outbound

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

Single Trajectory Distillation for Accelerating Image and Video Style Transfer LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

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source=pdf_text observed=2026-08-11T04:23:04.204905Z digest=sha256:26e1a8380fa1d56d75be145b925b12b20279964a5e730f3f3b08274a5268e12c

Observation ebd51532-e279-46d4-ba21-952dcd7cf370 · outbound

This paper cites Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Reference 10

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source=pdf_text observed=2026-08-11T04:23:04.210266Z digest=sha256:39ec00745a631bf66f527350ab6d9b068fbb9a44d8ca5c60fae9fd719794445c

Observation c2c86be8-c8b4-4f11-9db8-58d78f88c1cf · outbound

This paper cites Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation

Reference 11

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source=pdf_text observed=2026-08-11T04:23:04.216175Z digest=sha256:defd3bd9319cd70846f6cd69006b35ffe2d3882e5c043da8f70ff32deb6f71c5

Observation 5bbe20a2-fde7-4181-808a-64a6246cd2e2 · outbound

This paper cites AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks

Reference 12

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source=pdf_text observed=2026-08-11T04:23:04.221888Z digest=sha256:4ec9ad8f6df505920d83aeb3cb953f9b64c2ffb87ea118f5a4675559e46a196c

Observation 8b03282c-0344-4891-93a2-40cfce4acbb9 · outbound

This paper cites Blind video temporal consistency via deep video prior.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Blind video temporal consistency via deep video prior

Reference 13

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source=pdf_text observed=2026-08-11T04:23:04.226690Z digest=sha256:71aa630c55f473bb80769cb781b8cd1e296528f9a113c7f82ae2303645559eab

Observation 2b0bcba1-1fd3-4461-9161-1f80963fc76f · outbound

This paper cites Deep video prior for video consistency and propagation.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Deep video prior for video consistency and propagation

Reference 14

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source=pdf_text observed=2026-08-11T04:23:04.231494Z digest=sha256:abe39afa901d54359bf00b7556419f76ccf9420daae8db04a442500a3f3eddb6

Observation 45be66fe-e673-4b6b-a46e-e658dc83c07a · outbound

This paper cites StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models

Reference 15

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source=pdf_text observed=2026-08-11T04:23:04.237001Z digest=sha256:262110ff6cc2ac5fae626fdf9035205e3669e98e267cbc981ee8dba0c8207b41

Observation 2a6cbfc9-6ba9-413b-b9d8-81cffbdfde88 · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 16

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source=pdf_text observed=2026-08-11T04:23:04.243015Z digest=sha256:dfc68099db8cfffd3684092b2107e62340973361ec0938f73e341089dbe2c530

Observation 38766afe-d546-4d32-a83d-1ed452cfe85e · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 17

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source=pdf_text observed=2026-08-11T04:23:04.248147Z digest=sha256:8c111c6874a9c44dbd0960f9e293129a14021c84ee17988b7e42dbb04d9e2646

Observation e71fbbbd-9ac8-435d-be89-b378b9fecf77 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 18

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Observation c9507aca-2658-4ba0-b233-bb03425c19ed · outbound

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

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 19

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Observation 3e5f5970-77db-48c8-88ba-5e69204d9575 · outbound

This paper cites LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Reference 20

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source=pdf_text observed=2026-08-11T04:23:04.263775Z digest=sha256:549c01027a9cd62ac26ee1343202f880ffa7900baae6e538998c5076605de221

Observation 046a7ce0-319d-4828-b6d5-4fa1172e1518 · outbound

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

Single Trajectory Distillation for Accelerating Image and Video Style Transfer SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 21

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source=pdf_text observed=2026-08-11T04:23:04.268644Z digest=sha256:ca7d6e83f76b8e0f021b26d3b0eeed2a0b492b60f3a7d28cd0005626047a8ee1

Observation 214470ef-05f4-4d19-9205-b4b569a4aac5 · outbound

This paper cites Hotshot-XL, 2023.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Hotshot-XL, 2023

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T04:23:04.273528Z digest=sha256:e3bc083d26eceeb7ed9aa74a8049ad694545600c2b2f5462edeea9a4aafdef15

Observation 75f09692-8a79-4778-aa5e-811198af0a1a · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer DINOv2: Learning Robust Visual Features without Supervision

Reference 23

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source=pdf_text observed=2026-08-11T04:23:04.278530Z digest=sha256:675a921ace58b17655b03cd5d17b2549cf6a01fcef1f3c7824dcb1bc5c2846bd

Observation 4fa300b9-3e40-42d8-9e3b-80d3ac7d6928 · outbound

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

Single Trajectory Distillation for Accelerating Image and Video Style Transfer SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 24

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source=pdf_text observed=2026-08-11T04:23:04.285070Z digest=sha256:224bed33efe794fa163b7cf5d73cc54ef7fcc9077aef3aaaf9f08258ac3dabd4

Observation 7459c5ba-db22-4f98-8377-6d615fd5693d · outbound

This paper cites Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 25

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source=pdf_text observed=2026-08-11T04:23:04.290662Z digest=sha256:ecbe267c660f2cdc9a585d1c52526d388d380b6ada23f78620951f0afe77e3bb

Observation 4592a7e5-3f1d-452f-a965-bf9e2da7abc8 · outbound

This paper cites Adversarial diffusion distillation.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Adversarial diffusion distillation

Reference 26

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source=pdf_text observed=2026-08-11T04:23:04.296173Z digest=sha256:89dcfec12b9210471dd8cf6a2a7968f84128383268923dfa34398e1cd30317d9

Observation 2a4a37e2-a61c-4652-b5d7-66d0ab09332e · outbound

This paper cites Measuring Style Similarity in Diffusion Models.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Measuring Style Similarity in Diffusion Models

Reference 27

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source=pdf_text observed=2026-08-11T04:23:04.303222Z digest=sha256:c2fe347fda3410c90d1cf3a4befa5b38013cc1647d3e555d83a47dbeb041c76e

Observation 4f0f847d-ddb1-40de-8fec-98c75a34d121 · outbound

This paper cites Denoising Diffusion Implicit Models.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Denoising Diffusion Implicit Models

Reference 28

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source=pdf_text observed=2026-08-11T04:23:04.308480Z digest=sha256:a4cf301241a1f09d5f75a0046bc715e4e235065e07080842c9292dbcca32a09b

Observation dc9d0bde-559d-447f-b3b0-cfae8471ae18 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Score-Based Generative Modeling through Stochastic Differential Equations

Reference 29

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source=pdf_text observed=2026-08-11T04:23:04.317097Z digest=sha256:846171d20d5cfeaef7214e16613cd358f5ac4fa1306eb415d68ce7ce26c63d2f

Observation ce13a50b-ba17-4003-ae0d-d24b61075331 · outbound

This paper cites Consistency Models.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Consistency Models

Reference 30

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source=pdf_text observed=2026-08-11T04:23:04.323309Z digest=sha256:f6709e043630324bd76202d8590a5b6be5129b66cf69b463f79612387476d73d

Observation 66dee28d-bdb3-4640-9f90-abbbc5afcbbe · outbound

This paper cites Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance

Reference 31

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source=pdf_text observed=2026-08-11T04:23:04.328437Z digest=sha256:eeb741d4a1ddddfe29e899c04ca6fd1ec103e6ca0b434da76b2473a484238821

Observation 25ec6e17-6a11-4fbb-8436-9ca12ae961f9 · outbound

This paper cites Phased Consistency Models.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Phased Consistency Models

Reference 32

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source=pdf_text observed=2026-08-11T04:23:04.336456Z digest=sha256:5e58a96c9cac3449f9f1c2b9fdfb957ad20dc4e952e27b70834f765e91784683

Observation a8f09624-8400-4680-ab5f-d43256093f2c · outbound

This paper cites AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data

Reference 33

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source=pdf_text observed=2026-08-11T04:23:04.343208Z digest=sha256:723e18b13f570242f0303c8c94e1073dea73608f7ebea1de38bc31f6ac9e3fdc

Observation 3c8ca8d2-e649-46b3-ac61-e0b834539525 · outbound

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

Single Trajectory Distillation for Accelerating Image and Video Style Transfer InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 34

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source=pdf_text observed=2026-08-11T04:23:04.348479Z digest=sha256:0bb44fdaf8ab0a5fd9b2bcaeab622e358e97631859677125ff85230c223fba43

Observation 486c784b-f035-4f40-b7d0-c29ca36096d5 · outbound

This paper cites Stylediffusion: Controllable disentangled style transfer via diffusion models.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Stylediffusion: Controllable disentangled style transfer via diffusion models

Reference 35

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raw_fallback, observed 2026-08-11T04:23:05.182394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T04:23:04.357397Z digest=sha256:95103f6cf2f1f33e3e39bdb5aefa19a6e3706f0e720d60b9820ac5cfbd2a6c56

Observation f7eb4770-90ba-4d93-8e2a-13cb7e54abbb · outbound

This paper cites CSGO: Content-Style Composition in Text-to-Image Generation.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer CSGO: Content-Style Composition in Text-to-Image Generation

Reference 36

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source=pdf_text observed=2026-08-11T04:23:04.364654Z digest=sha256:1aeafd7eb8716c61e3f33d45f5c176e3d34c989fdbaf3fb1565a3cc1f02138c6

Observation 2e5d65a4-70f5-42fc-9602-8994bdabcbd1 · outbound

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

Single Trajectory Distillation for Accelerating Image and Video Style Transfer IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T04:23:04.370336Z

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source=pdf_text observed=2026-08-11T04:23:04.370336Z digest=sha256:e2b180988db98cd82d675798c68ba9d6211107e4751fd45e2a9346780d3df9b2

Observation fc0153f0-fe08-49d3-95e0-6ef597d7525a · outbound

This paper cites Improved Distribution Matching Distillation for Fast Image Synthesis.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T04:23:04.376608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:23:04.376608Z digest=sha256:9abb3c8c4801c9fe987f7839f52392b74289bb268e5c8af6f6a1ca304b5ff073

Observation 2d75fc38-e62e-4847-b3a9-2d8f7d4f4cbe · outbound

This paper cites Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T04:23:04.381799Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:23:04.381799Z digest=sha256:bde152d65ae25a6b36f39d76daef6a43ef0421cb479a8e03fd71ea96ee979a4a

Observation bd2786c5-6158-415a-8036-ac75337997a8 · outbound

This paper cites Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T04:23:04.386543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:23:04.386543Z digest=sha256:89e279f2ae27cf6fa9665694f0b7549326f72a697972db44fe5377fb4348bc7d

Observation ba081a24-7073-45a9-b3c2-3b279eaaa6b2 · outbound

This paper cites This means that for any values η, η′ ∈ [0, 1], the trajectories xτη → xη 0 and xτη′ → xη′ 0 are not equivalent.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer This means that for any values η, η′ ∈ [0, 1], the trajectories xτη → xη 0 and xτη′ → xη′ 0 are not equivalent

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:23:05.161457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T04:23:04.391619Z digest=sha256:1ed5fb91ceb50682e868712a50338154b6165220693cf20c63422d6f4ddcdbcb

Observation 3dd156e8-7c9b-464a-8045-a89e24ae9dfc · outbound

This paper cites The contrastive style descriptors (CSD), denoted as li = fV iT(xi) ∈ Rd , are utilized to compute similarity scores defined by si,j = lT i · lj.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer The contrastive style descriptors (CSD), denoted as li = fV iT(xi) ∈ Rd , are utilized to compute similarity scores defined by si,j = lT i · lj

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:23:05.138905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T04:23:04.397017Z digest=sha256:05af5133c81a5989ccf5da50ff8a49a02d1c17c096dfa3d8909a41dd521038bb

Observation 0c1e2e6f-63a3-4ec5-963a-58e276142ba4 · outbound

This paper cites Image and Video Comparison Results We show more image and video style transfer results in Fig- ure 11 and Figure 12.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer Image and Video Comparison Results We show more image and video style transfer results in Fig- ure 11 and Figure 12

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:23:05.121807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T04:23:04.402757Z digest=sha256:2757d8d3db616aadfce8032d7b6552e55ab13bbaa81f5b35176501c4eafa4b6b

Observation 14780887-608d-4ed6-b458-13154721e3dd · outbound

This paper cites co / 2vXpSwA7 / iroiro - lora / tree/main/test_controlnet2 4https://huggingface.co/hotshotco/Hotshot-XL 2 the recommended CFG settings for different methods.

Single Trajectory Distillation for Accelerating Image and Video Style Transfer co / 2vXpSwA7 / iroiro - lora / tree/main/test_controlnet2 4https://huggingface.co/hotshotco/Hotshot-XL 2 the recommended CFG settings for different methods

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:23:05.098929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T04:23:04.407807Z digest=sha256:b0e3d197989a2464988ce2dee6f9b6f908575e20d49a32140e39c498c45c82bd

Pith citing papers

No inbound Pith citation observations are available.