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Paper Citation Record · LEDGER

DeepCache: Accelerating Diffusion Models for Free

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2312.00858.

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

pith.paper-citation-record.v1
2312.00858 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:06:01.034183Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:17:58.016027Z

Reference resolution

0 of 0 outbound references displayed

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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 091e2ac2-1b30-4422-aeb0-c2196294fb84 · inbound

Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient cites this paper.

Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient DeepCache: Accelerating Diffusion Models for Free

Reference 40

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unresolved
no resolver link, observed 2026-08-12T12:06:01.034183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:06:01.034183Z digest=sha256:49171e06db0a4cd83b3087ca29c5d37578c231ec0ed04cbc6961474ca3d92e0e

Observation 4a68d741-60bd-49d2-abdc-1738ce2b4c97 · inbound

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising cites this paper.

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising DeepCache: Accelerating Diffusion Models for Free

Reference 22

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unresolved
no resolver link, observed 2026-08-11T20:37:01.743326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:37:01.743326Z digest=sha256:99cff0be6713f6f6f7976f70f75103b27dfb9240d97628d6793a8dd845845993

Observation c6de3f4b-3f00-4154-9033-230c2acba6fd · inbound

BiDM: Pushing the Limit of Quantization for Diffusion Models cites this paper.

BiDM: Pushing the Limit of Quantization for Diffusion Models DeepCache: Accelerating Diffusion Models for Free

Reference 38

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no resolver link, observed 2026-08-11T20:18:10.496452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:18:10.496452Z digest=sha256:c9dd29236a4c30127713708e2c7fc8aa66595acd52f524a9603bb51267aca485

Observation 6774139a-3c52-4b1a-b855-bf15b5c43e0a · inbound

dKV-Cache: The Cache for Diffusion Language Models cites this paper.

dKV-Cache: The Cache for Diffusion Language Models DeepCache: Accelerating Diffusion Models for Free

Reference 36

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unresolved
no resolver link, observed 2026-08-07T15:17:09.851359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:17:09.851359Z digest=sha256:8a28f37127d3593087b4154a6c9c9ca06fc85d6f401ee17351a502c2250b2afb

Observation 2eec77e1-4b91-470e-85ac-3b668055466b · inbound

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression cites this paper.

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression DeepCache: Accelerating Diffusion Models for Free

Reference 41

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unresolved
no resolver link, observed 2026-08-07T14:16:16.890592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:16.890592Z digest=sha256:3e5fdc13ab7667ad8b4a0c23dfb553d8d4b03a5e8dee7effeb144c5d05bcf84e

Observation 2d7bc424-0e22-4dc4-8779-0a98073b0a6c · inbound

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation cites this paper.

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation DeepCache: Accelerating Diffusion Models for Free

Reference 14

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unresolved
no resolver link, observed 2026-08-07T04:55:38.891443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:55:38.891443Z digest=sha256:b59e03b2632871720f899211d77a35b68eafd45e8b7c098251e117f6b590fc85

Observation d32ff701-24f8-4739-8ba6-c9994d3d1103 · inbound

VMoBA: Mixture-of-Block Attention for Video Diffusion Models cites this paper.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models DeepCache: Accelerating Diffusion Models for Free

Reference 23

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no resolver link, observed 2026-08-06T21:34:04.149948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.149948Z digest=sha256:bc8234447485bd8b0f3f1aa171195632042c9543308948981b5fd4f8ab4b69a8

Observation bf12e93d-4608-4944-9a35-f83ce48aebea · inbound

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers cites this paper.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers DeepCache: Accelerating Diffusion Models for Free

Reference 17

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unresolved
no resolver link, observed 2026-08-05T17:31:13.059315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:31:13.059315Z digest=sha256:987488b9125850406409c120da2822cf47f68b7224110c4a220305433b25e07c

Observation 34fd749d-2f1e-4ec3-97fe-75d5edfb5e0b · inbound

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models cites this paper.

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models DeepCache: Accelerating Diffusion Models for Free

Reference 33

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unresolved
no resolver link, observed 2026-08-05T17:42:57.744949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:42:57.744949Z digest=sha256:ba6550375dc1909f644909ec8f2a19ff86eb039642d3584cb94100f73763186b

Observation f504d97c-00dd-4954-af9c-5c5d8c077547 · 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 DeepCache: Accelerating Diffusion Models for Free

Reference 11

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unresolved
no resolver link, observed 2026-08-04T11:28:53.229565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:28:53.229565Z digest=sha256:60d8c6aa9290affd5b95174afacde1aef4415291aaa936b7e5cfe5fb39f88f48

Observation e400a917-f0e2-4f60-b89b-0d0cd014c175 · inbound

RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers cites this paper.

RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers DeepCache: Accelerating Diffusion Models for Free

Reference 2023

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unresolved
no resolver link, observed 2026-08-03T16:21:03.511929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:21:03.511929Z digest=sha256:b34569c631efecee91a4e3e777d9ed9ae23d66fd4db7da4017391dc1fe689fdc

Observation abed286a-8843-4015-9e6c-06c3b03ffdbe · inbound

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models cites this paper.

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models DeepCache: Accelerating Diffusion Models for Free

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:43:54.679304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T19:40:42.033793Z digest=sha256:e042568e0edc7d8c9e59841ae3d8207c896dde50d24824c935b7578118909bd1

Observation eb6e1102-2f61-44ba-bc19-b79f571d4d07 · inbound

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models cites this paper.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models DeepCache: Accelerating Diffusion Models for Free

Reference 46

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metadata mismatch
arxiv_id, observed 2026-07-03T03:37:36.065459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T14:58:27.176375Z digest=sha256:e8c960786c32a5ed97000954d511ecbc0c3a32e19a0030e126cf5a5980d7e749

Observation 99d9f63a-6bf7-42c9-98c5-12ab32fded94 · inbound

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs cites this paper.

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs DeepCache: Accelerating Diffusion Models for Free

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:58.017389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T10:05:40.235610Z digest=sha256:ac502cf8bcf2d2f36ba9b82c655b40cfe673aa41d2cfb68cd93bd05597745546

Observation a25d576c-a4cd-4ab8-b10e-dc0f48bb756f · inbound

OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models cites this paper.

OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models DeepCache: Accelerating Diffusion Models for Free

Reference 30

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metadata mismatch
arxiv_id, observed 2026-07-01T09:45:39.528530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-01T06:21:22.905093Z digest=sha256:6d2e6e31bdced3bf9427942ee1d9f0a7c3b6f73222a1c32d968d0fc8fbc414a7

Observation f2249d6b-e01b-459d-b7bd-3d0fe1124d7d · inbound

OmniCache: Multidimensional Hierarchical Feature Caching For Diffusion Models cites this paper.

OmniCache: Multidimensional Hierarchical Feature Caching For Diffusion Models DeepCache: Accelerating Diffusion Models for Free

Reference 25

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unresolved
no resolver link, observed 2026-07-30T10:48:15.343957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T10:48:15.343957Z digest=sha256:50712054ce7b656c1d92e701ee2fa02c479f12a28a82d8febd9eafca689aff11