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Paper Citation Record · LEDGER

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention

As of 8 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.12035.

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

pith.paper-citation-record.v1
2506.12035 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:39.674630Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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  • verified fuzzy12
  • unresolved41
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 0855b291-cb86-48f8-9c29-b71ffc09993d · outbound

This paper cites Attention is all you need.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Attention is all you need

Reference 1

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Observation 71ad7472-ddfb-41d8-a021-6347bebc5f87 · outbound

This paper cites Language models are few-shot learners.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Language models are few-shot learners

Reference 2

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Observation bb8c33c4-17cd-4225-9d38-ba9f8a6ea557 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 3

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Observation 43ff26fe-c2b7-4df8-9318-35a391f46122 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention LLaMA: Open and Efficient Foundation Language Models

Reference 4

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Observation 9362b41c-ba1e-414c-a0bf-59b72d46d594 · outbound

This paper cites Improving language understanding by generative pre-training.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Improving language understanding by generative pre-training

Reference 5

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Observation 79d57e66-4b1b-4793-95ca-1465951410ec · outbound

This paper cites Language models are unsupervised multitask learners.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Language models are unsupervised multitask learners

Reference 6

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Observation 09b31c6d-fbfb-40af-9baa-10fbb3e2e76c · outbound

This paper cites Training language models to follow instructions with human feedback.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Training language models to follow instructions with human feedback

Reference 7

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Observation 0408b77d-ce05-4bf7-a8a1-4264f0a03455 · outbound

This paper cites Generative pretraining from pixels.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Generative pretraining from pixels

Reference 8

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Observation 550e00fe-7789-4d2d-b03b-d7803153e762 · outbound

This paper cites Con- ditional image generation with pixelcnn decoders.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Con- ditional image generation with pixelcnn decoders

Reference 9

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Observation dbea20ad-b1de-4434-945c-06d2cad83140 · outbound

This paper cites Parallel multiscale autoregressive density estimation.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Parallel multiscale autoregressive density estimation

Reference 10

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Observation facbe27e-024e-4770-a509-d4f1d93fed9c · outbound

This paper cites Image transformer.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Image transformer

Reference 11

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Observation 97b20b8d-b383-4f70-85a9-301f44095392 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 12

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source=pdf_text observed=2026-08-07T14:51:35.606850Z digest=sha256:8c359ecbf9ea0231b16f0ffb7894dc9f6b82c6a3069e8941e2a4d533699dea6d

Observation 0d9faa52-18ba-456a-845d-ed4246ea6c70 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 13

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Observation f617ee0c-8aa9-4f26-9bbd-47849bdc9c2b · outbound

This paper cites Zero-shot text-to-image generation.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Zero-shot text-to-image generation

Reference 14

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source=pdf_text observed=2026-08-07T14:51:35.743187Z digest=sha256:6e2688a4de353bf31f60bb15dacbac91e949e4a8549957977a7c3e53f100af94

Observation da2819f2-d93e-4d5c-be32-2e15503fb3be · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 15

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source=pdf_text observed=2026-08-07T14:51:35.831619Z digest=sha256:02f84fc45932b1af077f1d595ac228a6630b16ae124569d04726a5aa2a80f950

Observation 44de99e3-b8f4-47b1-80e0-1dfd2dd35e50 · outbound

This paper cites Autoregressive image generation using residual quantization.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Autoregressive image generation using residual quantization

Reference 16

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source=pdf_text observed=2026-08-07T14:51:35.946175Z digest=sha256:8f8d1848cf9202cac6a97fe8bcc33897cbd06d25a3a153b9ad0df226ef037655

Observation 67d90918-9981-4272-917a-35d7cd87f5d9 · outbound

This paper cites Learning transferable visual models from natural language supervision.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Learning transferable visual models from natural language supervision

Reference 17

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source=pdf_text observed=2026-08-07T14:51:36.019159Z digest=sha256:d5b2fe7d12a9cec1b0c491ac470a464f4d186167b813bbdb70cc914525addba2

Observation 0a942605-7717-4ca5-97ea-d740ed3accc4 · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Cogview: Mastering text-to-image generation via transformers

Reference 18

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Observation 0c6278ae-2827-48e3-abbf-c41acfa2dce1 · outbound

This paper cites Maskgit: Masked generative image transformer.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Maskgit: Masked generative image transformer

Reference 19

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Observation 93898f86-93a1-4007-bbe9-fd4ddcd0c70e · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 20

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Observation 015dee4b-739b-4098-a76c-8689b2828a3a · outbound

This paper cites Mage: Masked generative encoder to unify representation learning and image synthesis.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Mage: Masked generative encoder to unify representation learning and image synthesis

Reference 21

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:51:36.348766Z digest=sha256:f5386b47de9ffd1b99af4faf726aaa731479b8d136dcb420d33913ca7723ae2a

Observation 6b8602d1-b76f-41e9-ba6b-cdfa0b55c1de · outbound

This paper cites Autoregressive image generation without vector quantization.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Autoregressive image generation without vector quantization

Reference 22

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Observation ace0fd0d-9ea8-49ea-b89c-5d8550a3225a · outbound

This paper cites Neural discrete representation learning.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Neural discrete representation learning

Reference 23

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Observation 887af349-8cf6-46bb-abf9-dd8d21f3ccff · outbound

This paper cites Generating diverse high-fidelity images with vq-vae-2.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Generating diverse high-fidelity images with vq-vae-2

Reference 24

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Observation 13bdb4ab-2099-4c46-b335-46770ba5ffd2 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Taming transformers for high-resolution image synthesis

Reference 25

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Observation 97a60daa-89ff-42b7-95d6-cc77432e1e3e · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Efficient Streaming Language Models with Attention Sinks

Reference 26

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Observation 47b04ec4-31d8-40b4-8531-0e61630506bc · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention H2o: Heavy-hitter oracle for efficient generative inference of large language models

Reference 27

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Observation 43f963b5-6dfe-4b4f-9014-e939bbd9bbcb · outbound

This paper cites Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

Reference 28

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Observation c7b3339b-aa57-4708-80e2-d93519b5d011 · outbound

This paper cites Keyformer: Kv cache reduction through key tokens selection for efficient generative inference.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Keyformer: Kv cache reduction through key tokens selection for efficient generative inference

Reference 29

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Observation 0bcdc309-b746-4e0d-8edc-f25d29288da5 · outbound

This paper cites Arkvale: Efficient generative llm inference with recallable key-value eviction.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Arkvale: Efficient generative llm inference with recallable key-value eviction

Reference 30

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Observation 3329ceac-9a9b-4278-b3a4-40badbf4fc78 · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 31

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source=pdf_text observed=2026-08-07T14:51:37.284507Z digest=sha256:cd97fbe613f2bb2c8b4b93eb975a145a18bd2de457e6564b751bb5699b59aafe

Observation 51afbdb6-c529-42c8-bc39-60d2fd5d1e14 · outbound

This paper cites MaskBit: Embedding-free Image Generation via Bit Tokens.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention MaskBit: Embedding-free Image Generation via Bit Tokens

Reference 32

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Observation 1e63f68a-2ffd-4d4b-af1c-8accd9f5c043 · outbound

This paper cites Improved masked image generation with token-critic.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Improved masked image generation with token-critic

Reference 33

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:51:37.436193Z digest=sha256:8a8f801836289594e224ba2c2871726c6d4e76bef22c6324b78b6ef6fb306036

Observation c8fd2eb0-fa39-40c1-9839-eaf5a1b638db · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 34

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Observation 490547de-cf89-4b24-9cbd-fdb9d30dda34 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 35

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Observation f779dddb-3e16-4ed4-888c-94759087a487 · outbound

This paper cites Oms-dpm: Optimizing the model schedule for diffusion probabilistic models.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Oms-dpm: Optimizing the model schedule for diffusion probabilistic models

Reference 36

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source=pdf_text observed=2026-08-07T14:51:37.695253Z digest=sha256:4f2b5b7c4e3ae3364e02f441450e79e4d0eb0007a1f4c4bd2107bf0b8b46b221

Observation 85762a26-6964-4ea9-9e1c-65a5107c739b · outbound

This paper cites Mixdq: Memory-efficient few-step text-to-image diffusion models with metric-decoupled mixed precision quantization.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Mixdq: Memory-efficient few-step text-to-image diffusion models with metric-decoupled mixed precision quantization

Reference 37

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:37.784997Z digest=sha256:dd831f86a034367259b326510a76c0935d2f1181dc98b65b6514795550a056f7

Observation dd2ab87b-5330-4308-abda-84b02de2c8f3 · outbound

This paper cites ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 38

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source=pdf_text observed=2026-08-07T14:51:37.905137Z digest=sha256:93d5396e6674d1d2d8519f9d873d475a35aa519c936b8b9ae5bc676cbd7380f6

Observation 756c4c89-9f8e-465d-bbc7-b776da15de36 · outbound

This paper cites Ditfastattn: Attention compression for diffusion transformer models.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Ditfastattn: Attention compression for diffusion transformer models

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T14:51:41.291719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:51:37.990389Z digest=sha256:096d6b4cf59510c1815f64b19cca398bd7e298241d1ebe570515ee580ee540d2

Observation 65a89333-3f65-4512-9cb5-47eb406ba394 · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Deepcache: Accelerating diffusion models for free

Reference 40

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source=pdf_text observed=2026-08-07T14:51:38.106131Z digest=sha256:8e07b9c05d9d3393460f86fb71b7fd3c2648a65df85abf4a12762e01f2e720f1

Observation 515494ef-31a9-420c-bb8d-3fe28a85a446 · outbound

This paper cites Cache me if you can: Accelerating diffusion models through block caching.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Cache me if you can: Accelerating diffusion models through block caching

Reference 41

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source=pdf_text observed=2026-08-07T14:51:38.221896Z digest=sha256:dd760c4d016869a6df71b72395344c9138baf1710092d64e3d047f443c38ac38

Observation d7336f79-12f7-4f44-aaa5-347bed5eecce · outbound

This paper cites Approximate caching for efficiently serving {Text-to-Image} diffusion models.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Approximate caching for efficiently serving {Text-to-Image} diffusion models

Reference 42

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source=pdf_text observed=2026-08-07T14:51:38.305668Z digest=sha256:599f4f367232191b14485a9c37d5733600b92ad7ed1aa52e7f3580416a420219

Observation 45cf22a6-689c-474d-a52a-82c9b1c7b3f9 · outbound

This paper cites LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding

Reference 43

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source=pdf_text observed=2026-08-07T14:51:38.393125Z digest=sha256:821dfe3d2cc6274d02b63e9722440e1ae56821e1fee88b36d3c07a0a50f99750

Observation 4a6c1563-eda2-495a-8e40-d4a20d9a33c8 · outbound

This paper cites Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding

Reference 44

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source=pdf_text observed=2026-08-07T14:51:38.475432Z digest=sha256:6c5266241d2e4292c493429ad6891cc2baa6f8102b5262e720b35db07a24da5c

Observation 2a326e07-2f4f-4ad0-88f9-bd1fbc76fd85 · outbound

This paper cites Enat: Rethinking spatial-temporal interactions in token-based image synthesis.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Enat: Rethinking spatial-temporal interactions in token-based image synthesis

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-07T14:51:41.044269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:51:38.600348Z digest=sha256:9791ae03c67fcb3b375014dd3cd7a9927d5b154ad8c6aa2863b69c8567976f0f

Observation dcc9f420-d816-4a04-9646-0e35d4fab642 · outbound

This paper cites LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching

Reference 46

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source=pdf_text observed=2026-08-07T14:51:38.761307Z digest=sha256:ac1fdf53fbc69e4e77e56f5b945aeaaaca09b5b09fc72dd848a85d3ec78e0918

Observation 3061cc74-1719-4ceb-9d97-6717f4f92a8a · outbound

This paper cites Masked Generative Nested Transformers with Decode Time Scaling.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Masked Generative Nested Transformers with Decode Time Scaling

Reference 47

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source=pdf_text observed=2026-08-07T14:51:38.875000Z digest=sha256:54111f9200393c75349b21eae04eb84b58172da408207f3e04286c7e3b94653b

Observation f330e986-a343-4de0-9d9f-8c6ae8c5029e · outbound

This paper cites Efficient attention: Attention with linear complexities.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Efficient attention: Attention with linear complexities

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-07T14:51:40.789777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:51:39.026651Z digest=sha256:08993422093b67e630230f2162992f2fe706ae88a744a611c52710f9416ee815

Observation 2cf67de3-23ae-4f53-b387-378b4ccab314 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 49

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source=pdf_text observed=2026-08-07T14:51:39.140239Z digest=sha256:5536c5b19c88063cf29b368ff4a25e3e158271a5fd1d18c366912cb63e61ac50

Observation bf542ecc-b918-4352-98c5-5b023fd7ce06 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 50

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no resolver link, observed 2026-08-07T14:51:39.254887Z

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source=pdf_text observed=2026-08-07T14:51:39.254887Z digest=sha256:da098475b6ff878a5da039dddcf21a83b46425304c174d4adb5e0e268572ee81

Observation c6cf25e8-9611-42a6-9ec6-5d564c585d18 · outbound

This paper cites Flashattention-3: Fast and accurate attention with asynchrony and low-precision.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Flashattention-3: Fast and accurate attention with asynchrony and low-precision

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-07T14:51:40.532249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:51:39.367546Z digest=sha256:9f2541bec912cec43d6d823e5a16d2d0fa2e86c798a6046d729f739c1c308847

Observation efafe7c4-52bf-4e40-8d87-a92f2602e5b1 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-07T14:51:40.270692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:51:39.443033Z digest=sha256:f1b683895b8e03a467044cbcd17055577b180516ee632b31a8a27ebf17475748

Observation 0bff735c-a713-4f48-a045-ce9662e3d156 · outbound

This paper cites Improved techniques for training gans.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Improved techniques for training gans

Reference 53

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source=pdf_text observed=2026-08-07T14:51:39.555453Z digest=sha256:bf81862392fcbdd9ab692d7624d79b8c7e36c5f5b1bba486c8c5e35f73cf09c9

Observation 2c401573-b2a1-4ffc-a390-69b76c7df4a8 · outbound

This paper cites Scalable diffusion models with transformers.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention Scalable diffusion models with transformers

Reference 54

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malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:51:39.674630Z digest=sha256:9bdc587da7ef50d413bb89bf20affbf3080b218f2612403c970f357994c4300b

Pith citing papers

No inbound Pith citation observations are available.