Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T00:55:11.089125Z
Paper Citation Record · LEDGER
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation
As of 11 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2502.04393.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:28:53.996348Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy14
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 11e8607f-a759-4f62-ae10-81c5eb9e7abc · outbound
This paper cites Scalable Diffusion Models with Transformers.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Scalable Diffusion Models with Transformers
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:10.940996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c6e7cc3-6841-4f7e-830d-8610e76a5d67 · outbound
This paper cites Ditfastattn: Attention compression for diffusion transformer models,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Ditfastattn: Attention compression for diffusion transformer models,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.673005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 66613ba7-6979-4520-b117-a0c3d3fba1c9 · outbound
This paper cites Denoising dif- fusion probabilistic models,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Denoising dif- fusion probabilistic models,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.657632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bdb76bc5-916b-47db-87e9-4e739030f75c · outbound
This paper cites High-resolution image synthesis with latent diffusion models,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation High-resolution image synthesis with latent diffusion models,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.641193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6c230ac4-ba51-4aed-8ca0-636d8ac636e2 · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:10.964837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5726f6bb-2516-4924-af6f-a6f6a48366d5 · outbound
This paper cites Denoising Diffusion Implicit Models.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Denoising Diffusion Implicit Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:10.970203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05b07109-69e2-4f7e-bb83-a4042894592e · outbound
This paper cites Deepcache: Accelerating diffusion models for free,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Deepcache: Accelerating diffusion models for free,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.623927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4d19086c-f678-42ba-b8d5-a38979316e46 · outbound
This paper cites Faster diffusion: Rethinking the role of unet encoder in diffusion models,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Faster diffusion: Rethinking the role of unet encoder in diffusion models,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.607537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3a13ff19-a64a-41b3-b72c-4f5f1ecc4e65 · outbound
This paper cites Real- time video generation with pyramid attention broadcast,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Real- time video generation with pyramid attention broadcast,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.589072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7521bd65-b7a4-4356-a2d8-bd11b823c636 · outbound
This paper cites $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:10.992313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ba4aeca-5f97-4993-aabb-b4394841be4c · outbound
This paper cites Temporal generative adversarial nets with singular value clipping,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Temporal generative adversarial nets with singular value clipping,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.572258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 23bf36d8-bc3c-4676-8c86-e365ba872d31 · outbound
This paper cites Video-to-Video Synthesis.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Video-to-Video Synthesis
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.005137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd192a89-50fd-472c-86b0-06e7132d1bb2 · outbound
This paper cites Scaling Autoregressive Video Models.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Scaling Autoregressive Video Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.011088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0703cd7e-5c07-42a3-9169-23314da579e9 · outbound
This paper cites Video diffusion models,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Video diffusion models,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.556093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation adabfffa-d826-4b75-b844-3accc6a9a425 · outbound
This paper cites Latte: Latent Diffusion Transformer for Video Generation.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Latte: Latent Diffusion Transformer for Video Generation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.021821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19c6c18b-409c-4d19-8dba-94ce19d2ebd3 · outbound
This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.027649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e28508bc-f175-4f86-a920-503ae042d334 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.032454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07af191c-a7ec-478a-8e45-b25668495004 · outbound
This paper cites VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.037455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f464598e-ccfe-4716-b10a-12b0a4eed9ec · outbound
This paper cites Scaling rectified flow transformers for high-resolution image synthesis,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Scaling rectified flow transformers for high-resolution image synthesis,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.538796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b05299a4-1c54-4197-b072-71b16cbaf958 · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.047396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cde69964-c74f-4efb-a3ff-d8792edbb668 · outbound
This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.521753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bff71e79-c0fb-483d-b6a7-8e8255e23d6b · outbound
This paper cites One- step diffusion with distribution matching distillation,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation One- step diffusion with distribution matching distillation,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.503537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae26e4db-668b-4407-b2ff-58c77fe4098a · outbound
This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.063169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49c4a0e9-080d-4dc2-911e-1b8bd634781f · outbound
This paper cites FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.068026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f43f8ef1-e7d4-42f0-9c3f-97420b984390 · outbound
This paper cites Vbench: Comprehensive benchmark suite for video generative models,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Vbench: Comprehensive benchmark suite for video generative models,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.486182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8df80e99-4b79-4d98-93ea-8e55a7c9671a · outbound
This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation The unreasonable effectiveness of deep features as a perceptual metric,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.468384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 318b4ba5-c31f-412a-943c-fc394082fe63 · outbound
This paper cites Image quality assessment: from error visibility to structural similarity,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Image quality assessment: from error visibility to structural similarity,
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:55:11.083723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b46d731e-1a60-4462-9c38-83e8b6251039 · outbound
This paper cites Peak signal-to-noise ratio revisited: Is simple beautiful?,.
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Peak signal-to-noise ratio revisited: Is simple beautiful?,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T00:55:11.439367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation 87746a17-fe88-4bc4-b53b-0a0f28d410c9 · inbound
Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation cites this paper.
Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:28:53.996348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6f58019-f4a1-40a6-8a13-94a2e15dfba5 · inbound
DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity cites this paper.
DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T12:34:28.755596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.