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Paper Citation Record · LEDGER

Causal Diffusion Transformers for Generative Modeling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2412.12095.

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

pith.paper-citation-record.v1
2412.12095 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:47:30.310301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:54:57.999523Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 a20dbb75-36c4-4e3b-9cae-5272442fb366 · inbound

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

Masked Autoencoders Are Effective Tokenizers for Diffusion Models Causal Diffusion Transformers for Generative Modeling

Reference 2005

Resolution
unresolved
no resolver link, observed 2026-08-09T04:47:30.310301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:47:30.310301Z digest=sha256:1e1b08a87998bde120d083e744a944a9ddbabac950469c0ee017704b3fbc846f

Observation a4ec876c-5005-4386-8779-2091213c340c · inbound

Next Block Prediction: Video Generation via Semi-Autoregressive Modeling cites this paper.

Next Block Prediction: Video Generation via Semi-Autoregressive Modeling Causal Diffusion Transformers for Generative Modeling

Reference 2022

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unresolved
no resolver link, observed 2026-08-08T11:51:13.192515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:51:13.192515Z digest=sha256:13611e2ceab4cad4ded1598ee539f948ce758a793552827985a92d5df332ecad

Observation e7e3cc1a-ddd2-4050-9faa-877d99074908 · inbound

CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation cites this paper.

CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation Causal Diffusion Transformers for Generative Modeling

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T11:43:24.665171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:43:24.665171Z digest=sha256:649e25ae030341ea37dc45802d9509d6b0f16a5c39fb987c46c69da59fe6a085

Observation 1be4519e-a169-43b6-9805-ee16d3729326 · inbound

Emerging Properties in Unified Multimodal Pretraining cites this paper.

Emerging Properties in Unified Multimodal Pretraining Causal Diffusion Transformers for Generative Modeling

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:23:41.916233Z

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=2026-05-10T16:23:41.854132Z digest=sha256:e599ba6e14e2f37bbf7d27a35bd570d757c2a4b43eef8fd0ee18d41df2a056fa

Observation 207544d0-fa63-42af-8ba3-7adbd0774495 · inbound

Plug-and-Play Context Feature Reuse for Efficient Masked Generation cites this paper.

Plug-and-Play Context Feature Reuse for Efficient Masked Generation Causal Diffusion Transformers for Generative Modeling

Reference 6

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unresolved
no resolver link, observed 2026-08-07T14:22:20.175049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:20.175049Z digest=sha256:2157fe0c6ef7ac3b9a9d4cc6362d3b7461f3f9744c1f25a818f1105747e04841

Observation 81bce52c-9c4b-4281-bafd-ab8233fa9ba7 · inbound

D-AR: Diffusion via Autoregressive Models cites this paper.

D-AR: Diffusion via Autoregressive Models Causal Diffusion Transformers for Generative Modeling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:46.812359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:46:46.812359Z digest=sha256:a6875867212e34d6e2c628cec6e0824e6e7dd4b15617cc752a6e5376792865dc

Observation 7d5a059e-c83d-4dba-ad0f-16bf25ad7f50 · inbound

Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion cites this paper.

Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Causal Diffusion Transformers for Generative Modeling

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:36:53.235817Z

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=2026-05-11T01:36:53.029590Z digest=sha256:05af7c139f8b87504222f6cc52945c50987f67aefded921c24f98057a960b2c6

Observation ec097216-2934-4642-abf3-ae3bc4d81e8d · inbound

Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.

Energy-Based Transformers are Scalable Learners and Thinkers Causal Diffusion Transformers for Generative Modeling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:42:29.386292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:42:29.386292Z digest=sha256:7f2fce202b8927359453afc9581bab79921538577ac98dbc50f2814ea05eb863

Observation af11de0a-c6a3-49df-97ca-d7d0c46d971c · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion Causal Diffusion Transformers for Generative Modeling

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:53.881716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.881716Z digest=sha256:b01654dd77e629af674eec7828677e46f7483e26a3fbcb5c99f4f5500571de54

Observation ba64423a-3c5e-41c5-8498-6023f14a36f2 · inbound

DepMicroDiff: Diffusion-Based Dependency-Aware Multimodal Imputation for Microbiome Data cites this paper.

DepMicroDiff: Diffusion-Based Dependency-Aware Multimodal Imputation for Microbiome Data Causal Diffusion Transformers for Generative Modeling

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T10:33:42.522803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:33:42.522803Z digest=sha256:86088f81fd1f6c546c669861f56d182ffced4d7d1255210fb96abe6f315381d8

Observation 171287e7-93e4-42fc-82d4-182f13364a97 · inbound

INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling cites this paper.

INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling Causal Diffusion Transformers for Generative Modeling

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:25:53.218970Z

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=2026-05-10T19:08:56.588282Z digest=sha256:9c7d0ea3536fe82f46be2149a7910363055f6fd5574b9a0eba403c243a110e92

Observation 0092fcb7-a209-45d4-b5a3-1502204284a9 · inbound

RepFlow: Representation Enhanced Flow Matching for Causal Effect Estimation cites this paper.

RepFlow: Representation Enhanced Flow Matching for Causal Effect Estimation Causal Diffusion Transformers for Generative Modeling

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:15.179756Z

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=2026-05-09T15:24:59.445688Z digest=sha256:46801c46f966e8ab298ec577da04083867ab1623c6723431c5c51c55ca8a1ad7

Observation 5e734934-88e6-483b-a569-7ae8dc4f20a5 · inbound

Rethinking Cross-Layer Information Routing in Diffusion Transformers cites this paper.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Causal Diffusion Transformers for Generative Modeling

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:29:39.425466Z

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=2026-05-21T05:29:19.111071Z digest=sha256:560922560e3a833812741f9a423428f2923db03802cf2cdb43cebab56d872712

Observation c95a6dec-9413-46ac-9087-b5f44b2639c6 · inbound

Rethinking Cross-Layer Information Routing in Diffusion Transformers cites this paper.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Causal Diffusion Transformers for Generative Modeling

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:54:58.000979Z

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=2026-06-30T17:50:22.258541Z digest=sha256:84c4fd32f7eb196583cbeae831ee8e79c1a650006aefa250be27bd6bcaf141c8

Observation c1dd1fb4-6f72-4058-8d15-ed72958d4b0e · inbound

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation cites this paper.

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation Causal Diffusion Transformers for Generative Modeling

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:14.509972Z

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=2026-06-29T07:56:40.001739Z digest=sha256:a53142b849727387184e6657da1ee4d04d1f2bafa9a4e48dda1271729105a634