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Paper Citation Record · LEDGER

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2511.15927.

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

pith.paper-citation-record.v1
2511.15927 v4

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:20:37.610849Z

measured 38 of 38 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

38 of 38 outbound references displayed

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  • unresolved38
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Outbound references

Observation 22317898-47e0-41dd-8365-959ec39cff38 · outbound

This paper cites GPT-4 Technical Report.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone GPT-4 Technical Report

Reference 1

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Observation f8818d1a-f148-49c9-ac88-dcd017b4916b · outbound

This paper cites an unresolved cited work.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-03T21:20:37.610849Z digest=sha256:dbb2ff61d70a6eaddd0ffd60767e59deb8ab5ce1e35aff9f528d70b9f7e68613

Observation b55a9ebb-52b9-4379-b24d-845383d44715 · outbound

This paper cites A cheaper and better diffusion language model with soft-masked noise.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone A cheaper and better diffusion language model with soft-masked noise

Reference 7

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source=pdf_text observed=2026-08-03T21:20:34.255170Z digest=sha256:751aee3800f18ac3f7b80bda09d4d022bb86f1600f2ee66ba3740ce032f053da

Observation 2e408d14-baf8-453f-bbc8-05971c5312be · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 8

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source=pdf_text observed=2026-08-03T21:20:34.318430Z digest=sha256:a88202a3b5c2e3b448b9af4412ae8f66ab8090b799f4a9f82b85e67fc3f4df60

Observation 60ec5ed0-64e6-4810-b69a-d0a5625e074e · outbound

This paper cites Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 10

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source=pdf_text observed=2026-08-03T21:20:34.467266Z digest=sha256:c06cae02c0c3d7a768a827c3f4b9f7503200d48367b71e8107ffe43b4e84ec94

Observation 7a578d28-e2f5-4437-a423-68607535e08e · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 11

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source=pdf_text observed=2026-08-03T21:20:34.561539Z digest=sha256:605fea8b665f9e0e0f201857703982aba56b622cca5c342acb5ac5333ebca454

Observation 8c66ecec-820b-48ea-9b75-fc94c6817ef9 · outbound

This paper cites Training Compute-Optimal Large Language Models.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Training Compute-Optimal Large Language Models

Reference 12

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source=pdf_text observed=2026-08-03T21:20:34.645253Z digest=sha256:69cbce4d261aecfa1beb26d83811725db86063867b4eb170a522d74824baed40

Observation c4e7e634-43cc-45bd-96cd-b6581796ebbe · outbound

This paper cites VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis

Reference 13

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source=pdf_text observed=2026-08-03T21:20:34.761212Z digest=sha256:9f633cfe4d86879cd28cc2dba5d40aa02ae80e33625a9f9a006d7068a62965df

Observation 2a094343-faed-4989-9198-906a3f79bce5 · outbound

This paper cites Mercury: Ultra-Fast Language Models Based on Diffusion.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Mercury: Ultra-Fast Language Models Based on Diffusion

Reference 14

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source=pdf_text observed=2026-08-03T21:20:34.887984Z digest=sha256:4ea06678de870acc311ea1b64367860a51da4787853f802ff10ab22f26854c68

Observation ae2c70c2-3910-4598-9592-f0f2e8a40436 · outbound

This paper cites Diffuspec: Unlocking diffusion language models for speculative decoding.arXiv preprint arXiv:2510.02358, 2025a.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Diffuspec: Unlocking diffusion language models for speculative decoding.arXiv preprint arXiv:2510.02358, 2025a

Reference 15

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source=pdf_text observed=2026-08-03T21:20:35.051086Z digest=sha256:f795a91aae2b1532dc136785f161dc5ce63178f995776dad4e2703764f95e19a

Observation fd424eaa-f268-4133-8067-c20c5ba218d0 · outbound

This paper cites A Survey on Diffusion Language Models.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone A Survey on Diffusion Language Models

Reference 16

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source=pdf_text observed=2026-08-03T21:20:35.167864Z digest=sha256:a1f4a0b86e2dd9a252c0d62d3cb96325f129a11c163c69196abf838bc5d2df70

Observation f552320c-69fe-4cd5-b1ca-d8166ed47a8a · outbound

This paper cites LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 17

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source=pdf_text observed=2026-08-03T21:20:35.291038Z digest=sha256:9cd4aed89ca54b908c7d55df2de46995052638655efe8aa27cd2f1e318c276f8

Observation f539f8b9-e2d9-4bc2-87d0-6fcbff0a5d20 · outbound

This paper cites Vision mamba: A comprehensive survey and taxonomy.IEEE Transactions on Neural Networks and Learning Systems, 2025a.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Vision mamba: A comprehensive survey and taxonomy.IEEE Transactions on Neural Networks and Learning Systems, 2025a

Reference 18

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source=pdf_text observed=2026-08-03T21:20:35.383719Z digest=sha256:6d8b366d991d0073bcbc2d17062517a456ae21e090e7061878fda56e28ee7a02

Observation 9493dd07-a51c-4254-85f7-ecb47e6eecdb · outbound

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

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone dKV-Cache: The Cache for Diffusion Language Models

Reference 19

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source=pdf_text observed=2026-08-03T21:20:35.469650Z digest=sha256:204130dcca936fdf93f94bf118cd9218cf1e68740194c84fa6efc12d2096d6eb

Observation c2604ad3-2ba4-4eea-b05f-36ff83f289fc · outbound

This paper cites Training optimal large diffusion language models.arXiv preprint arXiv:2510.03280,.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Training optimal large diffusion language models.arXiv preprint arXiv:2510.03280,

Reference 21

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source=pdf_text observed=2026-08-03T21:20:35.620610Z digest=sha256:027958b09d4fbbd30542d3020c7fb19b109b4d93b6100ae3389a3233848e9392

Observation 32c90c32-673a-41a9-a16e-9c853dd149b7 · outbound

This paper cites Large Language Diffusion Models.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Large Language Diffusion Models

Reference 22

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source=pdf_text observed=2026-08-03T21:20:35.779755Z digest=sha256:d7decf08031af4cc222baac74ed69d510ff9060a82345081ad52a3bd3c689bbe

Observation 0decc5a1-c83f-4c57-80af-b3b71b18ae9d · outbound

This paper cites Apriel-h1: Towards efficient enterprise reasoning models.arXiv preprint arXiv:2511.02651,.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Apriel-h1: Towards efficient enterprise reasoning models.arXiv preprint arXiv:2511.02651,

Reference 23

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source=pdf_text observed=2026-08-03T21:20:35.960149Z digest=sha256:7cf7b9d96fdb8ded91ad5a7b4af05d61838ceeadaca8af2f53eae3790feae88e

Observation f2b419b7-c859-4e1e-8197-cd1cc952b0b8 · outbound

This paper cites Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reference 24

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source=pdf_text observed=2026-08-03T21:20:36.123584Z digest=sha256:bb191d55ef63a2e197fa2231c6bb0cc4a28fb54187fe0bec30e0445d2d70dc46

Observation 7f0cecbb-2d18-4a71-81d6-0c269c73e31a · outbound

This paper cites How efficient are diffusion language models? a critical examination of efficiency evaluation practices.arXiv preprint arXiv:2510.18480,.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone How efficient are diffusion language models? a critical examination of efficiency evaluation practices.arXiv preprint arXiv:2510.18480,

Reference 25

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source=pdf_text observed=2026-08-03T21:20:36.274592Z digest=sha256:9a469a6f7c4347ce21636d8e00a363fa52349a8a19197e5512a15a0994b92977

Observation b207ab99-40e1-4900-99ba-4c57fc9ef63f · outbound

This paper cites Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba

Reference 27

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source=pdf_text observed=2026-08-03T21:20:36.531085Z digest=sha256:63306fd18cfafd14682e09ee057df8a787a9b2f06d995099aaa66a7d581730a1

Observation 1e262035-57f1-48ea-b82c-5c7f0c92e345 · outbound

This paper cites DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

Reference 28

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source=pdf_text observed=2026-08-03T21:20:36.640298Z digest=sha256:88c2b8deeb8c7082d3455f64c1b89d6cdd362eba3f524bd07634f41228439083

Observation 048ae446-3460-4335-ad18-06fba1f5b319 · outbound

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

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone LLaMA: Open and Efficient Foundation Language Models

Reference 29

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source=pdf_text observed=2026-08-03T21:20:36.711613Z digest=sha256:0f645b4c2263bedb443760626b4277255a2ddda6e2e29dc7d0a1dd673c445635

Observation ed9f442b-1837-4e9d-a88d-69973043bd51 · outbound

This paper cites A Systematic Analysis of Hybrid Linear Attention.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone A Systematic Analysis of Hybrid Linear Attention

Reference 30

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source=pdf_text observed=2026-08-03T21:20:36.774366Z digest=sha256:b40b9497d461e6c705c92fb156921244a53a0474565770bbb20db97c35a21315

Observation d0a8dbb5-30af-44c2-943a-fb7e41d63bb7 · outbound

This paper cites Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing

Reference 31

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source=pdf_text observed=2026-08-03T21:20:36.811629Z digest=sha256:8be55b56515d7948d226856d9b30557d0d54c3e0ceb08ee49c4f39dc369a0386

Observation 638a541f-5b88-4673-8151-edb334bea874 · outbound

This paper cites Visual Mamba: A Survey and New Outlooks.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Visual Mamba: A Survey and New Outlooks

Reference 32

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source=pdf_text observed=2026-08-03T21:20:36.912809Z digest=sha256:08c86ab364d7bf96ad3e003cda661312f03ffdadeb54966575f134b10b1f6e5e

Observation 82f75f09-ef89-4a53-893b-5fd898c9cf55 · outbound

This paper cites Gated Delta Networks: Improving Mamba2 with Delta Rule.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 33

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source=pdf_text observed=2026-08-03T21:20:37.083516Z digest=sha256:dc0af56a9ce1e006623ab9645fbaeabb7b246504db33391835d724e587e46ea0

Observation a90c127d-1911-459b-a98f-745e09f3a48c · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Dream 7B: Diffusion Large Language Models

Reference 34

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source=pdf_text observed=2026-08-03T21:20:37.240159Z digest=sha256:1748e9d4009926237cb853f28f6df19b10cabe7315e83436245741b0ccc57850

Observation aafa9204-ce67-4991-a974-153511cb7e89 · outbound

This paper cites LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models

Reference 36

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source=pdf_text observed=2026-08-03T21:20:37.466929Z digest=sha256:5a303eaa4e113c9e73220f381699355f78189a35f2d151d07898d09fe572e447

Observation 73d6e007-626c-440c-acd8-ba40846cb89f · outbound

This paper cites Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 37

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source=pdf_text observed=2026-08-03T21:20:37.542843Z digest=sha256:c9e340a665330b257c669a41c714b1a2ee7fee02331e9e4e8f7f85cbbe62b75e

Observation 49ab84e1-f9a9-48b3-bb11-c090793019c2 · outbound

This paper cites MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 2013

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source=pdf_text observed=2026-08-03T21:20:34.201020Z digest=sha256:730f5585d745e38a958d6f8c4ab9a0de11c6d60df0b27faaef1ca94d0ef692f4

Observation f55e4474-e844-4ab9-a3af-122a7c9e88e3 · outbound

This paper cites A Survey on Efficient Inference for Large Language Models.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone A Survey on Efficient Inference for Large Language Models

Reference 2015

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source=pdf_text observed=2026-08-03T21:20:37.375152Z digest=sha256:13fc969388039835540f6a7de2e77bfb9ba131719d38b7fa389a2ba98e99ce56

Observation b264eec3-3e32-4134-83dd-6b7cbe322aac · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 2017

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source=pdf_text observed=2026-08-03T21:20:35.535953Z digest=sha256:10d1efaa30bfbfbfaac0d2cbb6be1341a4b89969fb1c7c2c742074d9aeaeead1

Observation df51371e-5463-4ffc-ab33-7e64f68ea5e1 · outbound

This paper cites Apriel-Nemotron-15B-Thinker.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Apriel-Nemotron-15B-Thinker

Reference 2019

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source=pdf_text observed=2026-08-03T21:20:36.399591Z digest=sha256:703c653739ec72942d6bca08f6d49a67520a961530a500dd697c185feec23ce1

Observation 4522996c-1fbb-44a4-a21b-2df230a32157 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,

Reference 2020

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source=pdf_text observed=2026-08-03T21:20:34.132808Z digest=sha256:674e5eab28e1d37b2e177d528627d7e1568dfd2ae1090d3a5be80a18bf9f4dae

Observation 636db738-0b7c-44ba-9722-bca5c55ea702 · outbound

This paper cites Hybrid Architectures for Language Models: Systematic Analysis and Design Insights.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Hybrid Architectures for Language Models: Systematic Analysis and Design Insights

Reference 2021

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source=pdf_text observed=2026-08-03T21:20:33.878474Z digest=sha256:b6f8d25d8d1b95b2a9ffbb1c9a637901f1ed74da7fb4d468b20fcda674acd287

Observation b4e52c14-eac5-4589-bf70-347d103e50d8 · outbound

This paper cites Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Reference 2023

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source=pdf_text observed=2026-08-03T21:20:33.808196Z digest=sha256:848303540efa2ded7e74d8b992dc7175d0cc84b8ac27934017521a02e485b000

Observation 4b7bc6fb-b3be-4da7-8518-64ab6496c972 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 2024

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This paper cites Characterizing the Behavior of Training Mamba-based State Space Models on GPUs.

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Characterizing the Behavior of Training Mamba-based State Space Models on GPUs

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