Paper Citation Record · LEDGER

Generating Images with Sparse Representations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2103.03841.

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

pith.paper-citation-record.v1
2103.03841 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:15:25.847259Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:18:59.593848Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3bb42088-30ba-41fb-99c2-1b549de76332 · inbound

Diffusion Models Beat GANs on Image Synthesis cites this paper.

Diffusion Models Beat GANs on Image Synthesis Generating Images with Sparse Representations

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:16:28.599550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb60cf62-7000-4c85-9cf7-c3cc071cab1d · inbound

Vector-quantized Image Modeling with Improved VQGAN cites this paper.

Vector-quantized Image Modeling with Improved VQGAN Generating Images with Sparse Representations

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:40:37.425326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fafa125d-ba17-42cd-abf7-e15109c99547 · inbound

Scalable Diffusion Models with Transformers cites this paper.

Scalable Diffusion Models with Transformers Generating Images with Sparse Representations

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:04:05.587497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d09ff31e-3157-4174-9739-2cb6482f1207 · inbound

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation cites this paper.

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Generating Images with Sparse Representations

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:09:16.973774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 176abfe9-1a39-4f1a-9b10-41cea373b490 · inbound

Native-Resolution Image Synthesis cites this paper.

Native-Resolution Image Synthesis Generating Images with Sparse Representations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:25.847259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a8088d6-0f35-41f8-8cd6-9de4844306bf · inbound

Contrastive Flow Matching cites this paper.

Contrastive Flow Matching Generating Images with Sparse Representations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.919748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e01c73a-7991-4632-beb1-d78244652435 · inbound

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation cites this paper.

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation Generating Images with Sparse Representations

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T19:57:23.528462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b23831b-79bb-415c-8e7d-09c391e8325a · inbound

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization cites this paper.

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization Generating Images with Sparse Representations

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:12.103819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb840580-43b4-4d38-8a66-d564d86f3fd4 · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion Generating Images with Sparse Representations

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T10:59:53.805944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f35942ee-5150-4fb7-8a59-f103fc565df6 · inbound

Transition Models: Rethinking the Generative Learning Objective cites this paper.

Transition Models: Rethinking the Generative Learning Objective Generating Images with Sparse Representations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T10:19:54.418614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ecacd5-65d9-4567-b4c2-62113295409f · inbound

RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization cites this paper.

RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization Generating Images with Sparse Representations

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:14:53.442419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d12265c-8fa6-4846-afe2-2fffda004a88 · inbound

VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models cites this paper.

VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models Generating Images with Sparse Representations

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:22:23.936822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6de1cbcf-b57c-4520-aa1e-6bdb578f8f9f · inbound

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation cites this paper.

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation Generating Images with Sparse Representations

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:49:08.289573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 331bbeef-cae5-40a4-ae90-53715113fa99 · inbound

REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion cites this paper.

REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion Generating Images with Sparse Representations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T15:34:57.891744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9f2409-fc7d-49a6-869d-4cc32f5d620a · inbound

Self-transcendence: Is External Feature Guidance Indispensable for Accelerating Diffusion Transformer Training? cites this paper.

Self-transcendence: Is External Feature Guidance Indispensable for Accelerating Diffusion Transformer Training? Generating Images with Sparse Representations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T11:04:32.426917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a57058c-3c67-47c2-b5ec-fe5f6ed14860 · inbound

Mirai: Autoregressive Visual Generation Needs Foresight cites this paper.

Mirai: Autoregressive Visual Generation Needs Foresight Generating Images with Sparse Representations

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:17:52.093185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49fdeb4c-0e2f-4f21-92cf-fd07baffdeea · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations Generating Images with Sparse Representations

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:05:51.579684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef7356c1-fcd7-4285-b368-3c282918aa69 · inbound

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training cites this paper.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Generating Images with Sparse Representations

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.089923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1afb4c50-ad26-4ec0-b096-05bed2769647 · inbound

Coevolving Representations in Joint Image-Feature Diffusion cites this paper.

Coevolving Representations in Joint Image-Feature Diffusion Generating Images with Sparse Representations

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.434265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6541298c-df1f-44b1-96b8-4aba0280e16a · inbound

The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents cites this paper.

The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents Generating Images with Sparse Representations

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:21:24.694399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation daf51376-675f-4420-a9ff-06f6317c6e69 · inbound

Elucidating Representation Degradation Problem in Diffusion Model Training cites this paper.

Elucidating Representation Degradation Problem in Diffusion Model Training Generating Images with Sparse Representations

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:36:26.452150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd0ab9b1-aa81-4985-8126-cfba8be58c7e · inbound

The Velocity Deficit: Initial Energy Injection for Flow Matching cites this paper.

The Velocity Deficit: Initial Energy Injection for Flow Matching Generating Images with Sparse Representations

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:55:05.899541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58cd0f0d-8f91-4bb3-bbae-890d5abd8776 · inbound

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion cites this paper.

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion Generating Images with Sparse Representations

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:08:53.996058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 367d6c1d-5065-4887-904f-0a2a03bd19e1 · inbound

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion cites this paper.

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion Generating Images with Sparse Representations

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:35:00.964064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd6592cb-2633-4c4e-a7b0-c81c8973e149 · inbound

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice cites this paper.

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice Generating Images with Sparse Representations

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:43:51.050270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47625283-bc04-4477-89f2-219455b6f51c · inbound

Beyond Point-Wise Matching: Structural Representation Alignment for Accelerating Diffusion Transformers cites this paper.

Beyond Point-Wise Matching: Structural Representation Alignment for Accelerating Diffusion Transformers Generating Images with Sparse Representations

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:52:46.150164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2acaee13-0571-4f0d-8713-680b2dfbfba0 · inbound

Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion cites this paper.

Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion Generating Images with Sparse Representations

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T15:14:46.977147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b106a76-05fe-4e62-93d4-054cbc544635 · inbound

Frequency-Guided Action Diffusion via Sub-Frequency Manifold Traversal cites this paper.

Frequency-Guided Action Diffusion via Sub-Frequency Manifold Traversal Generating Images with Sparse Representations

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:13:27.005495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5a60490-6d24-462b-83a6-3838099ac76e · inbound

Colored Noise Diffusion Sampling cites this paper.

Colored Noise Diffusion Sampling Generating Images with Sparse Representations

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:53:13.707150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89947199-e67e-4188-8e02-628b3c471891 · inbound

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cites this paper.

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders Generating Images with Sparse Representations

Reference 86

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:32:35.215164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 410aae14-7a70-4157-8f0b-7fdfca4a93ef · inbound

MaskAlign: Token-Subset Representation Alignment for Efficient Diffusion Training cites this paper.

MaskAlign: Token-Subset Representation Alignment for Efficient Diffusion Training Generating Images with Sparse Representations

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:26.206062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88459195-5f72-4a9f-bb5a-82f36b297981 · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Generating Images with Sparse Representations

Reference 86

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:05:41.482025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3f0c900-8548-43b5-a7b3-edaee62dc6e8 · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Generating Images with Sparse Representations

Reference 86

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:18:59.595244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f66e478-2329-4d4c-b378-4b3ec6357b67 · inbound

Post-Training Pruning for Diffusion Transformers cites this paper.

Post-Training Pruning for Diffusion Transformers Generating Images with Sparse Representations

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:56:59.086466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e1b9f8d-9a0c-48b8-91f2-3b5a5c2038c9 · inbound

Post-Training Pruning for Diffusion Transformers cites this paper.

Post-Training Pruning for Diffusion Transformers Generating Images with Sparse Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:54.360897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cd8ab5d-ec3e-42ba-98f9-c85d49e10bba · inbound

From SRA to Self-Flow: Data Augmentation or Self-Supervision? cites this paper.

From SRA to Self-Flow: Data Augmentation or Self-Supervision? Generating Images with Sparse Representations

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:28.525994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3be140c4-44e9-4122-bf43-676c28b8ea3c · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World Generating Images with Sparse Representations

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 194229d0-df29-40c5-9d3e-f7f97d4b754c · inbound

SPARE: Structural Parameter-Free Affinity Regularization for Flow Matching cites this paper.

SPARE: Structural Parameter-Free Affinity Regularization for Flow Matching Generating Images with Sparse Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T17:12:36.693893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.