Paper Citation Record · LEDGER

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation

As of 12 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2606.12575.

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

pith.paper-citation-record.v1
2606.12575 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:54:36.000245Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact14
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb589d4d-a51a-483f-837b-433042cf561f · outbound

This paper cites OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:56.949559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ad4a3dae-43cd-4fb0-8c7d-08c8e88d32cf · outbound

This paper cites Structural Pruning for Diffusion Models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Structural Pruning for Diffusion Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:56.962502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 690fa027-5ff3-4ce2-a6ee-8eb7cc1492ef · outbound

This paper cites X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:56.980323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 92409dc7-94b5-4c7e-a3b9-b9e684722977 · outbound

This paper cites Geneval: An object-focused frame- work for evaluating text-to-image alignment.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Geneval: An object-focused frame- work for evaluating text-to-image alignment

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f1076d3-5da4-41da-a13a-2fd8ca017d01 · outbound

This paper cites Ptqd: Accurate post-training quantization for diffusion models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Ptqd: Accurate post-training quantization for diffusion models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9786c13c-6c3d-4c2d-9b7b-c59fb1bc8823 · outbound

This paper cites Denoising diffusion probabilistic models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Denoising diffusion probabilistic models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc61acd-4437-46f4-bc57-c090e339b1df · outbound

This paper cites Lora: Low-rank adaptation of large language models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Lora: Low-rank adaptation of large language models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1c413c-871d-48e6-98b3-29b4b54f12e6 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.974806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ae41e45-4829-4ba6-b92f-732c231d059c · outbound

This paper cites Distribution Matching Distillation Meets Reinforcement Learning.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Distribution Matching Distillation Meets Reinforcement Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:17:14.617836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 22f51e69-8da3-4469-b56f-babe125d8741 · outbound

This paper cites FLUX.2: Frontier Visual Intelligence.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation FLUX.2: Frontier Visual Intelligence

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa1357b6-a322-49ce-84ae-23aa5c90ef22 · outbound

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

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.979001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7d49c1c-10a3-46f9-baeb-bfaffcd12992 · outbound

This paper cites Flow Matching for Generative Modeling.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Flow Matching for Generative Modeling

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.961507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba73149c-80dc-418e-a475-18e45a7f603a · outbound

This paper cites Decoupled DMD: CFG augmentation as the spear, distribution matching as the shield.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Decoupled DMD: CFG augmentation as the spear, distribution matching as the shield

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79f57ce8-ab66-42aa-bdcc-269223f64b16 · outbound

This paper cites Timestep embedding tells: It’s time to cache for video diffusion model.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Timestep embedding tells: It’s time to cache for video diffusion model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab618e46-2910-4a75-8b97-ec245bfed4ed · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.973440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c861e39-60f3-4752-8fac-997aed9d3ee9 · outbound

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

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Instaflow: One step is enough for high-quality diffusion-based text-to-image generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84d0a55-a179-4180-80ea-70cf6a842b75 · outbound

This paper cites Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.957170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce945a53-20d9-40a0-8362-eee6f6d83973 · outbound

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

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 254df1e3-eb62-48d4-ac4f-24d6df3ae55a · outbound

This paper cites Diff- instruct: A universal approach for transferring knowledge from pre-trained diffusion models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Diff- instruct: A universal approach for transferring knowledge from pre-trained diffusion models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6780caa5-9c81-4936-9d13-30f710a0bff6 · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Deepcache: Accelerating diffusion models for free

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c89c7e-8790-4b43-b604-9e3664227062 · outbound

This paper cites Qwen-image-lightning, 2025.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Qwen-image-lightning, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2489bb-d633-4ab9-ba06-11ff8e4a271a · outbound

This paper cites Hyper-sd: Trajectory segmented consistency model for efficient image synthesis.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Hyper-sd: Trajectory segmented consistency model for efficient image synthesis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7415eb64-2aeb-4369-ad9a-58010d99625e · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Progressive Distillation for Fast Sampling of Diffusion Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.972488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3af54b81-dbea-4f63-a99e-a73a0fc1d892 · outbound

This paper cites Multistep distillation of diffusion models via moment matching.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Multistep distillation of diffusion models via moment matching

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 210887f7-90d8-45bd-8b86-8b764ac75e9c · outbound

This paper cites Fast high-resolution image synthesis with latent adversarial diffusion distillation.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Fast high-resolution image synthesis with latent adversarial diffusion distillation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37a1a155-4955-44d3-b39c-462eec67874a · outbound

This paper cites Adversarial diffusion distillation.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Adversarial diffusion distillation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01e6c936-8b9e-4c3c-ac18-5ed435ecd55a · outbound

This paper cites Post-training quantization on diffusion models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Post-training quantization on diffusion models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 194ffd0a-9056-4d72-b2e9-ac962edce50e · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6d0f2af-2fa3-4b97-8076-63afd6609329 · outbound

This paper cites Denoising Diffusion Implicit Models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Denoising Diffusion Implicit Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.982877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2ba6b9d-2e4b-41c9-bbb7-ecc42f9439a8 · outbound

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

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.970234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ada7941-4b7d-47f9-a631-7ce1f22ac711 · outbound

This paper cites Consistency models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Consistency models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036af970-790f-43a4-bd90-a22ce6d46295 · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:37:56.955173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b17623c3-e1b9-4fff-97e1-3eaace1064ae · outbound

This paper cites Phased consistency models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Phased consistency models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16efe01a-5daa-406d-be47-f818f32e8103 · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Improved distribution matching distillation for fast image synthesis

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc8d9e48-ad44-4e6b-b97b-c76d54d71e37 · outbound

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

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation One-step diffusion with distribution matching distillation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-27T09:54:36.000245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8961b09-8d77-42f6-996d-9b4ee5643436 · outbound

This paper cites Unipc: A unified predictor- corrector framework for fast sampling of diffusion models.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Unipc: A unified predictor- corrector framework for fast sampling of diffusion models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:56.977687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.