Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2503.06923.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:05.401910Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 8f1e34e4-af45-4e1e-a329-a8bf8030d791 · inbound
PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48daf06f-c958-47d3-8c6d-87e1c8cd83f6 · inbound
FlashEdit: Decoupling Speed, Structure, and Semantics for Precise Image Editing From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 702dc282-df19-4acd-8229-e890b72aa413 · inbound
Fast-SAM3D: 3Dfy Anything in Images but Faster From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78db7401-7835-48d4-a34e-a0951a1f9590 · inbound
World Action Models are Zero-shot Policies From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 68
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c1fd5d38-b7a4-4086-855d-4b5fd94e95d4 · inbound
DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42551d4a-22b7-49cd-9fc3-8263bb0e79b3 · inbound
Beyond Few-Step Inference: Accelerating Video Diffusion Transformer Model Serving with Inter-Request Caching Reuse From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4c5930a3-a57b-4162-84c9-f568d814af24 · inbound
DRIFT: Harnessing Inherent Fault Tolerance for Efficient and Reliable Diffusion Model Inference From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3f6ef25c-e39a-4bd2-bb06-c9654286c533 · inbound
Training-free, Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient Workflows of Diffusion Models From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9b0e533a-f799-453c-a8fa-33a2cc0a65eb · inbound
CoCoDiff: Optimizing Collective Communications for Distributed Diffusion Transformer Inference Under Ulysses Sequence Parallelism From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6f3af851-a7d0-4e89-b664-c0491ef7974c · inbound
Efficient Video Diffusion Models: Advancements and Challenges From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 84
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 414fff9f-13a8-4a05-ac7a-4f393892e2a5 · inbound
LayerCache: Exploiting Layer-wise Velocity Heterogeneity for Efficient Flow Matching Inference From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 43e9dfbb-dd47-4ff0-add7-c0fc131caf2c · inbound
Motion-Aware Caching for Efficient Autoregressive Video Generation From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7dbf68a4-0b9a-4043-8f39-5bcb49efbffa · inbound
Motion-Aware Caching for Efficient Autoregressive Video Generation From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a018baec-2199-4f56-a139-5400c0babc33 · inbound
Dynamic Video Generation: Shaping Video Generation Across Time and Space From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9c23e474-74c9-4403-a2ae-0f99b2a9f5b6 · inbound
RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 31c24ccf-edec-42e1-acd0-8dfdb3ef1d8a · inbound
Budget-Constrained Step-Level Diffusion Caching From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 26a6b0d1-9ff1-4e81-a81c-6a631e9b3d05 · inbound
ResilPhase: Plug-and-Play Phase Mapping and Noise-Resilient Macro-Trajectory Extrapolation for Diffusion Acceleration From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9bff2d94-b189-4da7-bd70-cdbcd8d2685b · inbound
LearniBridge: Learnable Calibration of Feature Caching for Diffusion Models Acceleration From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 322df4c4-7459-4b74-b4fa-dafaa3d76407 · inbound
OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9b89574c-9e9e-4393-b5f3-490b22015e92 · inbound
ACID: Adaptive Caching for vIDeo generation From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d741a96-6ae5-47fe-80ef-0fd3ad9a44f6 · inbound
CODA: Algorithm-Hardware Co-design for Edge Video Diffusion via NMP-Enabled Compute-Cache Operator Disaggregation From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b84851b-9f73-4e9d-a4ba-60fbd5dac9a0 · inbound
DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af3a0e18-3b64-4a10-86a4-00bae41edc90 · inbound
JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 72
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f4c57c8-5f8d-478d-bd4e-cf050ca036f8 · inbound
OmniCache: Multidimensional Hierarchical Feature Caching For Diffusion Models From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.