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Paper Citation Record · LEDGER

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2501.01423.

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

pith.paper-citation-record.v1
2501.01423 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:47:30.447243Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4975f68d-d73b-4453-ba8e-dd1a490ff62e · inbound

Masked Autoencoders Are Effective Tokenizers for Diffusion Models cites this paper.

Masked Autoencoders Are Effective Tokenizers for Diffusion Models Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T04:47:30.447243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:47:30.447243Z digest=sha256:1da4d1edee023df2d85aa6a86d2fad8638d3fe27176ff8eaa9f326e66635af1e

Observation 239dd823-bff6-4a1b-a735-2adfe6e23457 · inbound

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? cites this paper.

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T21:50:24.578485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:50:24.578485Z digest=sha256:af6ca4517d64d2746d6a6ae10834a24a5a419bf8a44fd9327eab832d731702b1

Observation b553b981-26be-4d8a-92ae-a673c15ab3ab · inbound

VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models cites this paper.

VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:09.922611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:09.922611Z digest=sha256:2cdc7671430c3f90dfdcedab88b8dd100dc9ce7f7040c5439ad564def50a3f57

Observation 5053abe2-6e75-491c-bbf8-404f1115cdb3 · inbound

MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation cites this paper.

MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:30.011254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:30.011254Z digest=sha256:8685058f4150ce9aaf4111134c9b63cf97a4b6a2e7c45ef9db886ba1cbe31947

Observation 2f8b32c0-e3f5-4db2-8a04-60aeb491a8b6 · inbound

Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis cites this paper.

Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T20:49:42.947470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:49:42.947470Z digest=sha256:1817461cb1384ad3dc85fbf6d2f6b6c6a4c5a99597249c834b14847a8673c6ca

Observation 7dc8fd61-c9cd-4a30-b492-7dd3f91223b9 · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:53.473492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.473492Z digest=sha256:8cd1f03845d2648744e48103291cdfde69afb33df9cc877a4ce3cb1c342bc865

Observation ba4b9476-f5ee-4732-9ffa-0a6cfb21a065 · 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 Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:49:08.186107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T05:47:24.669763Z digest=sha256:edeec6d75e7707a81c8136ca79b7421fb2ce4b91e3fc8ca6c83cf140ace93c62

Observation 766379dd-9c88-43ea-bf5c-b359e439c54a · inbound

PixelGen: Improving Pixel Diffusion with Perceptual Supervision cites this paper.

PixelGen: Improving Pixel Diffusion with Perceptual Supervision Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:57:33.214832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T07:54:20.712620Z digest=sha256:c93a4815e9960ffeafcae5ab4749b6124f5a6c324131c58e3c4f7dff6f44ca39

Observation a97c9a2d-426e-4489-90e2-409f0158ede8 · inbound

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer cites this paper.

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:05.934365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T19:41:03.302303Z digest=sha256:d44e59781668cd60662cd04367bf5bca65a5d179e4a95f1722690b41ad332d86

Observation e8760d58-206f-46e1-9f21-fde921f97276 · inbound

ViTok-v2: Scaling Native Resolution Auto-Encoders to 5 Billion Parameters cites this paper.

ViTok-v2: Scaling Native Resolution Auto-Encoders to 5 Billion Parameters Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:51:06.420122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:06:21.438738Z digest=sha256:66acec371b237740d0a288df7522ab5cddaf86f6162eda3bdc49ef5f4d9328bc

Observation 6a17a132-7be3-4ce7-9ed3-287697a09b46 · inbound

CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation cites this paper.

CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:42:15.855442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T04:40:25.725622Z digest=sha256:c43b3820cb144570ebed7b0594f8cda5963f095f90109feac1aae3d1b40d5997

Observation 8a755f98-52cd-4f10-b3af-b26d162f56ac · inbound

Improved Baselines with Representation Autoencoders cites this paper.

Improved Baselines with Representation Autoencoders Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:43:15.302178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T11:40:14.358108Z digest=sha256:9de1a3a748307c727edf8fe479b2fa4a7f682c70a0f2a5b5242730bec0472e92

Observation a22dab3a-321b-4198-a409-b5db793c0d81 · inbound

GPIC: A Giant Permissive Image Corpus for Visual Generation cites this paper.

GPIC: A Giant Permissive Image Corpus for Visual Generation Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:14.150899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T07:36:21.262064Z digest=sha256:61fd83b247e7f09d54cefcd363b4182fa97af9c1908d3d9eade97d0f06b35cf2

Observation c776846f-e51d-4cea-ae1b-44c91f7bf19f · inbound

DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.

DiffusionBench: On Holistic Evaluation of Diffusion Transformers Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:59:58.168322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T00:06:11.951205Z digest=sha256:a658887fdd9b2ed691ddb8b6afe83280e254c0eb2a93104bf1aa81c0bcda0071

Observation 7dff96bd-e47a-4b6e-8eb9-4a93157db383 · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:50:11.495947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T19:34:02.046104Z digest=sha256:ee09d159023ad5c202bc3264f9139acd7e0e7b13169e0f9c77a88bea666ba890

Observation 72b3a6a7-16c3-409f-bd17-21bebb113e0b · inbound

Flow Matching in Feature Space for Stochastic World Modeling cites this paper.

Flow Matching in Feature Space for Stochastic World Modeling Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T09:34:33.790768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T09:31:11.525648Z digest=sha256:131c8c25a76182dc09c9f77ea6585f87e6c1485271c8a6dbfd9923ef883d43d3

Observation 71c09cae-d359-44a1-92fa-f9069c1b6241 · inbound

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation cites this paper.

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-30T10:34:57.644671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T10:34:57.644671Z digest=sha256:cb12f1f24c70cbb237efacb6f013288d868e83aed121013fb3f8a759bde52e04

Observation f1e7537f-ad84-4ebd-ba0f-abe4e25c184d · inbound

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation cites this paper.

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T01:50:56.920896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:50:56.920896Z digest=sha256:c48dd1077275e03d2f727305a768ac63a3631caa6b2d51d68e9e3c61c56f8fee

Observation a4fefa1c-fa19-437b-bb23-f9a0a1dc7f6e · inbound

KVAE: Family of Tokenizers for Multimodal Generative Models cites this paper.

KVAE: Family of Tokenizers for Multimodal Generative Models Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-07T23:24:49.398739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:24:49.398739Z digest=sha256:40c5203a066eb10db506658cac06de344f13534cdf0e124ff2a470cad4c8ead7