Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-16T06:15:46.085555Z
Paper Citation Record · LEDGER
MoBA: Mixture of Block Attention for Long-Context LLMs
As of 4 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 51 inbound Pith citation observations for arXiv:2502.13189.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T14:43:02.987885Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T12:15:01.137692Z
Reference resolution
73 of 73 outbound references displayed
- verified exact13
- verified fuzzy21
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch38
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 12e2308a-217e-49c4-a647-8e6d0a944d20 · outbound
This paper cites Scaling Learning Algorithms Towards.
MoBA: Mixture of Block Attention for Long-Context LLMs Scaling Learning Algorithms Towards
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.322837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5792de7e-bc5b-4143-8d42-b9f68f66d312 · outbound
This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.
MoBA: Mixture of Block Attention for Long-Context LLMs and Osindero, Simon and Teh, Yee Whye , journal =
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.300897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 96afa291-3871-48f8-9a08-24a026a7469e · outbound
This paper cites 2016 , publisher=.
MoBA: Mixture of Block Attention for Long-Context LLMs 2016 , publisher=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.303270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 34cfb8e2-a36a-4b7a-87d6-af8e8e28c49c · outbound
This paper cites Generating Long Sequences with Sparse Transformers.
MoBA: Mixture of Block Attention for Long-Context LLMs Generating Long Sequences with Sparse Transformers
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.210118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f741f92-27b3-4a70-a768-9cbfaa59e447 · outbound
This paper cites LongT5: Efficient Text-To-Text Transformer for Long Sequences.
MoBA: Mixture of Block Attention for Long-Context LLMs LongT5: Efficient Text-To-Text Transformer for Long Sequences
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.213645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b5588be-29d5-4f98-a344-922e38631ada · outbound
This paper cites Advances in neural information processing systems , volume=.
MoBA: Mixture of Block Attention for Long-Context LLMs Advances in neural information processing systems , volume=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.311157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 514cd672-df6f-4d31-93dc-794f790a38cc · outbound
This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.
MoBA: Mixture of Block Attention for Long-Context LLMs LongNet: Scaling Transformers to 1,000,000,000 Tokens
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.217139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9b2bbb8b-ab59-4153-8108-5f7111b2aac5 · outbound
This paper cites Axial Attention in Multidimensional Transformers.
MoBA: Mixture of Block Attention for Long-Context LLMs Axial Attention in Multidimensional Transformers
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.220433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d2b1cde8-cb34-4e30-b1d1-25e47ff9ed5c · outbound
This paper cites 2024 , url =.
MoBA: Mixture of Block Attention for Long-Context LLMs 2024 , url =
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.318192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6a879985-4ec8-4282-9e4b-f298c61796f2 · outbound
This paper cites Longformer: The Long-Document Transformer.
MoBA: Mixture of Block Attention for Long-Context LLMs Longformer: The Long-Document Transformer
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.223489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ead3599f-f9cc-418f-9179-1c87a3e95737 · outbound
This paper cites ETC: Encoding Long and Structured Inputs in Transformers.
MoBA: Mixture of Block Attention for Long-Context LLMs ETC: Encoding Long and Structured Inputs in Transformers
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.226877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 57751407-4cf9-44f8-80a4-c1e854fe1993 · outbound
This paper cites GMAT: Global Memory Augmentation for Transformers.
MoBA: Mixture of Block Attention for Long-Context LLMs GMAT: Global Memory Augmentation for Transformers
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.230102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation efa61b2d-2c40-4970-904f-55f59d316ff6 · outbound
This paper cites Star-Transformer.
MoBA: Mixture of Block Attention for Long-Context LLMs Star-Transformer
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.233414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b25c3b8a-7bf2-427f-b295-d86fed6eab4a · outbound
This paper cites Blockwise Self-Attention for Long Document Understanding.
MoBA: Mixture of Block Attention for Long-Context LLMs Blockwise Self-Attention for Long Document Understanding
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.236730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d6d3db81-2cd1-499b-83b4-646e7fe5ceef · outbound
This paper cites Reformer: The Efficient Transformer.
MoBA: Mixture of Block Attention for Long-Context LLMs Reformer: The Efficient Transformer
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.240130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cfa15bc7-0a08-4c1f-ac1f-bd161827775f · outbound
This paper cites Transactions of the Association for Computational Linguistics , volume=.
MoBA: Mixture of Block Attention for Long-Context LLMs Transactions of the Association for Computational Linguistics , volume=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.333948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e9d33f26-8fdf-4aea-8ac7-b0d98759d246 · outbound
This paper cites Memorizing Transformers.
MoBA: Mixture of Block Attention for Long-Context LLMs Memorizing Transformers
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.243639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1a12abfc-82e2-4c6c-ab43-34d8fe56e6f9 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
MoBA: Mixture of Block Attention for Long-Context LLMs Advances in Neural Information Processing Systems , volume=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.338489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a07c9720-4fe3-42fb-b5fb-18333ad56c1e · outbound
This paper cites CoLT5: Faster Long-Range Transformers with Conditional Computation.
MoBA: Mixture of Block Attention for Long-Context LLMs CoLT5: Faster Long-Range Transformers with Conditional Computation
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.247140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0375d885-57bf-477f-8c30-f5df2fc931df · outbound
This paper cites International Conference on Machine Learning , pages=.
MoBA: Mixture of Block Attention for Long-Context LLMs International Conference on Machine Learning , pages=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.343436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 67719e0c-3f05-4aeb-b7a4-1b0c4d3a5174 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
MoBA: Mixture of Block Attention for Long-Context LLMs Advances in Neural Information Processing Systems , volume=
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.346114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f15e4b8f-8298-4f3f-b212-0ed879b3308c · outbound
This paper cites Efficient Streaming Language Models with Attention Sinks.
MoBA: Mixture of Block Attention for Long-Context LLMs Efficient Streaming Language Models with Attention Sinks
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.250197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7277d24d-9352-4285-820c-0cb3f6496af7 · outbound
This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.
MoBA: Mixture of Block Attention for Long-Context LLMs MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.253626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 00ac9eb8-ae5a-4f83-9310-e27de39e5693 · outbound
This paper cites Moa: Mixture of sparse attention for automatic large language model compression.arXiv preprint arXiv:2406.14909.
MoBA: Mixture of Block Attention for Long-Context LLMs Moa: Mixture of sparse attention for automatic large language model compression.arXiv preprint arXiv:2406.14909
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.256755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4bfcbe89-ca11-47ad-ac6f-e8349a2c8a76 · outbound
This paper cites SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs.
MoBA: Mixture of Block Attention for Long-Context LLMs SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.260047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 91644674-c33f-4c00-aba0-99523a188179 · outbound
This paper cites Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs.
MoBA: Mixture of Block Attention for Long-Context LLMs Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T11:11:21.895994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a7878e5d-c591-4aa5-8ce4-a30a81ee994a · outbound
This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.
MoBA: Mixture of Block Attention for Long-Context LLMs Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
Reference 27
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.266513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f8187306-dc17-460f-b73e-463d1aec41f5 · outbound
This paper cites Transformers are Multi-State RNNs.
MoBA: Mixture of Block Attention for Long-Context LLMs Transformers are Multi-State RNNs
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.269719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 00c7f58e-c130-4208-9fb8-98c99e972f56 · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
MoBA: Mixture of Block Attention for Long-Context LLMs Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.272655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 39690b6a-cd0c-4abf-b951-7edd59aa7551 · outbound
This paper cites RWKV: Reinventing RNNs for the Transformer Era.
MoBA: Mixture of Block Attention for Long-Context LLMs RWKV: Reinventing RNNs for the Transformer Era
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.276017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 532b35ac-d941-4e80-ae57-94dedef9d6f4 · outbound
This paper cites International Conference on Machine Learning , pages=.
MoBA: Mixture of Block Attention for Long-Context LLMs International Conference on Machine Learning , pages=
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.327299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6edff3ea-9471-49b3-83c6-ad6e3d32e8ee · outbound
This paper cites Rethinking Attention with Performers.
MoBA: Mixture of Block Attention for Long-Context LLMs Rethinking Attention with Performers
Reference 32
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.278924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2cf07895-9ff1-4b48-a39b-d3f94ccd1aeb · outbound
This paper cites Linformer: Self-Attention with Linear Complexity.
MoBA: Mixture of Block Attention for Long-Context LLMs Linformer: Self-Attention with Linear Complexity
Reference 33
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.281866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8084c340-6425-4c01-8ea5-5bf795723cc1 · outbound
This paper cites International conference on machine learning , pages=.
MoBA: Mixture of Block Attention for Long-Context LLMs International conference on machine learning , pages=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.336297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5de5ed35-0373-454a-a6b3-dcf414336252 · outbound
This paper cites Efficient Transformers: A Survey.
MoBA: Mixture of Block Attention for Long-Context LLMs Efficient Transformers: A Survey
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.285388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 981ac2b2-1042-4276-8a1f-d4e46aff7130 · outbound
This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.
MoBA: Mixture of Block Attention for Long-Context LLMs Ring Attention with Blockwise Transformers for Near-Infinite Context
Reference 36
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.288484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f2cac3bf-2d49-43ec-b3a8-2e358773441f · outbound
This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.
MoBA: Mixture of Block Attention for Long-Context LLMs DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.291664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ac5bd988-1512-42d5-b2d3-911fb07bb9f9 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
MoBA: Mixture of Block Attention for Long-Context LLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 38
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.294698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 301216a2-0a7d-46ef-a9f6-cbc5a762a757 · outbound
This paper cites USP: A Unified Sequence Parallelism Approach for Long Context Generative AI.
MoBA: Mixture of Block Attention for Long-Context LLMs USP: A Unified Sequence Parallelism Approach for Long Context Generative AI
Reference 39
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.298224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3de63877-21a0-4fe7-b85d-29e2c110e9a0 · outbound
This paper cites Effective Long-Context Scaling of Foundation Models.
MoBA: Mixture of Block Attention for Long-Context LLMs Effective Long-Context Scaling of Foundation Models
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.122456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c8bd24e-30ee-4361-9f20-a39bb6978cf8 · outbound
This paper cites Training Compute-Optimal Large Language Models.
MoBA: Mixture of Block Attention for Long-Context LLMs Training Compute-Optimal Large Language Models
Reference 41
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.127680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5eb8880f-4595-4d0a-a18b-38c610de0259 · outbound
This paper cites Why Does the Effective Context Length of LLMs Fall Short?.
MoBA: Mixture of Block Attention for Long-Context LLMs Why Does the Effective Context Length of LLMs Fall Short?
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.132633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7f7f9b04-8ec8-4d8a-998e-f1f76f9359ef · outbound
This paper cites Breaking the Softmax Bottleneck: A High-Rank RNN Language Model.
MoBA: Mixture of Block Attention for Long-Context LLMs Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
Reference 43
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.137946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 710b9ef6-14fc-48bd-a274-2ae6fb78c45d · outbound
This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.
MoBA: Mixture of Block Attention for Long-Context LLMs DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Reference 44
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.142836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e79fe5f8-5b77-45b0-8c8e-162d08d2de25 · outbound
This paper cites Qwen2.5 Technical Report.
MoBA: Mixture of Block Attention for Long-Context LLMs Qwen2.5 Technical Report
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T06:15:46.147240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8667b04c-c3ce-40f6-ac36-06504cc9e4a0 · outbound
This paper cites 2023 , journal=.
MoBA: Mixture of Block Attention for Long-Context LLMs 2023 , journal=
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.331669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8c9f3010-3668-49b1-8002-b70b6b3ef302 · outbound
This paper cites LongHeads: Multi-Head Attention is Secretly a Long Context Processor.
MoBA: Mixture of Block Attention for Long-Context LLMs LongHeads: Multi-Head Attention is Secretly a Long Context Processor
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.151606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d2868931-587e-43ee-933d-eebd682c6fba · outbound
This paper cites LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation.
MoBA: Mixture of Block Attention for Long-Context LLMs LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T00:04:05.393377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3f941a00-a54c-4ee6-979b-bb26acf1bf0d · outbound
This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.
MoBA: Mixture of Block Attention for Long-Context LLMs Kimi k1.5: Scaling Reinforcement Learning with LLMs
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T06:15:46.159064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 44924d88-cb1c-4f33-938c-4cb66f2ec26c · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
MoBA: Mixture of Block Attention for Long-Context LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 50
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.162426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6ef9a4ad-f9b4-4eed-abe4-dde4c5d50bf1 · outbound
This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.
MoBA: Mixture of Block Attention for Long-Context LLMs Deliberative Alignment: Reasoning Enables Safer Language Models
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.165967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b4ea7c9-1078-4610-abd1-e1717b026f56 · outbound
This paper cites Linearizing Large Language Models.
MoBA: Mixture of Block Attention for Long-Context LLMs Linearizing Large Language Models
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.169517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 18c6b876-afea-4a2c-a198-9d8cb2d8336a · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
MoBA: Mixture of Block Attention for Long-Context LLMs Advances in Neural Information Processing Systems , volume=
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.315969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 89a7a419-4dd7-40de-9e05-ed267e17c94f · outbound
This paper cites The Mamba in the Llama: Distilling and Accelerating Hybrid Models.
MoBA: Mixture of Block Attention for Long-Context LLMs The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.173069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 91c17f74-ab0e-4972-8bf7-96dfd231179d · outbound
This paper cites LoLCATs: On Low-Rank Linearizing of Large Language Models.
MoBA: Mixture of Block Attention for Long-Context LLMs LoLCATs: On Low-Rank Linearizing of Large Language Models
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.117218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0e5c1054-ab0f-4330-84a0-b8c5a6461f63 · outbound
This paper cites Retentive Network: A Successor to Transformer for Large Language Models.
MoBA: Mixture of Block Attention for Long-Context LLMs Retentive Network: A Successor to Transformer for Large Language Models
Reference 56
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.176867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4a8264cb-9a74-4e91-bb83-0174ae50ff0e · outbound
This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.
MoBA: Mixture of Block Attention for Long-Context LLMs Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Reference 57
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.181106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d40d808-e022-46d4-9c11-43bcb4407866 · outbound
This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.
MoBA: Mixture of Block Attention for Long-Context LLMs Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T23:19:58.366890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 70cbb10f-d834-44e6-917c-872bc1fcfe16 · outbound
This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.
MoBA: Mixture of Block Attention for Long-Context LLMs MiniMax-01: Scaling Foundation Models with Lightning Attention
Reference 59
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:26:38.921226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3e10dd34-8e53-4d49-97a5-93813fe8839a · outbound
This paper cites RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval.
MoBA: Mixture of Block Attention for Long-Context LLMs RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T08:12:02.395521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1b3a2159-d31e-4435-bcc8-7f355f7a69b0 · outbound
This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.
MoBA: Mixture of Block Attention for Long-Context LLMs Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Reference 61
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.196956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f6a8de79-2a3a-4e1c-9872-cb16dad3c2b9 · outbound
This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.
MoBA: Mixture of Block Attention for Long-Context LLMs GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Reference 62
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.200494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c26987b1-df06-49d8-b5e1-144410e91d1e · outbound
This paper cites Journal of Machine Learning Research , volume=.
MoBA: Mixture of Block Attention for Long-Context LLMs Journal of Machine Learning Research , volume=
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.313749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 84a53930-ff56-42f4-82a0-c4d607a2c969 · outbound
This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.
MoBA: Mixture of Block Attention for Long-Context LLMs ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 64
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.203629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4a50dbf4-e967-4987-b4ba-51a2bc0e31ca · outbound
This paper cites 2018 , journal=.
MoBA: Mixture of Block Attention for Long-Context LLMs 2018 , journal=
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.325086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 437eac4b-f066-4fd1-a985-d50434a82917 · outbound
This paper cites 2023 , journal=.
MoBA: Mixture of Block Attention for Long-Context LLMs 2023 , journal=
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.329476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0f0fb7a0-5a3a-4155-986e-3af46da9e583 · outbound
This paper cites NIPS , year=.
MoBA: Mixture of Block Attention for Long-Context LLMs NIPS , year=
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.340993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51cbc9c4-bd84-4efe-8bcb-6a04b4feca62 · outbound
This paper cites an unresolved cited work.
MoBA: Mixture of Block Attention for Long-Context LLMs Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T06:15:46.348702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6fcc58e4-9da8-495a-a43b-22e292ad3bd9 · outbound
This paper cites International conference on machine learning , pages=.
MoBA: Mixture of Block Attention for Long-Context LLMs International conference on machine learning , pages=
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.351291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a51c58be-91b1-4c7c-97ed-9cecd5b02c86 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
MoBA: Mixture of Block Attention for Long-Context LLMs Advances in Neural Information Processing Systems , volume=
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.305836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 002410d4-50e7-4c87-953f-205dc12df36f · outbound
This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.
MoBA: Mixture of Block Attention for Long-Context LLMs Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 71
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T06:15:46.206948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5284c4b4-c7f4-439b-9a48-e4027324dd3a · outbound
This paper cites Cell , volume=.
MoBA: Mixture of Block Attention for Long-Context LLMs Cell , volume=
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.320409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 441115e9-38cb-435a-800a-0320414f36cc · outbound
This paper cites and Yang, Zhilin and Zhou, Xinyu and Zhang, Mingxing and Qiu, Jiezhong , title =.
MoBA: Mixture of Block Attention for Long-Context LLMs and Yang, Zhilin and Zhou, Xinyu and Zhang, Mingxing and Qiu, Jiezhong , title =
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T06:15:46.308534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 91649ab1-c636-4a27-89a8-ad28dba2fafb · inbound
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention cites this paper.
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cbbca396-4ce9-41eb-bab1-80182d8c10ed · inbound
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 593aa73c-a482-4ac9-8a62-df9131d31232 · inbound
ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference cites this paper.
ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T22:06:52.086462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5ed79671-7dcb-4b84-950c-0656a590b46d · inbound
ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference cites this paper.
ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:43:02.987885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c8c4548-2e04-42be-bbb5-a61a684b5dce · inbound
Hybrid Architectures for Language Models: Systematic Analysis and Design Insights cites this paper.
Hybrid Architectures for Language Models: Systematic Analysis and Design Insights MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:21:14.905213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 52c40fb4-c89c-4206-aa23-b0b1a830503d · inbound
MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training cites this paper.
MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T19:44:19.643653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2242e950-55d2-4337-8d75-0495dc20700b · inbound
Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.
Kimi Linear: An Expressive, Efficient Attention Architecture MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fce0a8bf-9db7-4480-88c1-caec5d6e0e5b · inbound
Exact Flow Linear Attention: Exact Solution from Continuous-Time Dynamics cites this paper.
Exact Flow Linear Attention: Exact Solution from Continuous-Time Dynamics MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T23:08:39.758825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 951f5481-db43-4982-99fb-16529f1273ca · inbound
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations cites this paper.
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T07:26:42.182634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c3fb043c-b8f9-4c19-90c8-534aa5a0ee3e · inbound
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling cites this paper.
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:46:09.903579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f28409e-6f4e-4de5-a9df-3a649259673c · inbound
Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers cites this paper.
Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:35:15.553731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ac34134-e03a-4309-825f-d9ee75fa499b · inbound
Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights cites this paper.
Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T08:52:37.649073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 62b64b26-4dca-463c-9f29-07274483fd75 · inbound
Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models cites this paper.
Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:55:42.148739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dff839e-e01b-490d-8368-7674fa151a69 · inbound
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 05a76c18-e14d-406b-8671-3280f3a5a4fe · inbound
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T12:50:09.458960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 703fce07-2eb4-422f-a5d2-54418911d808 · inbound
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:05:43.025992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b64b4c0-d99c-4bbc-8a2d-e46dfa70daa8 · inbound
Three non-Hermitian random matrix universality classes of complex edge statistics: Spacing ratios and distributions cites this paper.
Three non-Hermitian random matrix universality classes of complex edge statistics: Spacing ratios and distributions MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T16:19:49.419805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db90e36b-b2db-409e-9a2d-ae47d675ee4b · inbound
HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention cites this paper.
HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e37bf27e-2c58-4303-a673-69373a4e434d · inbound
Why Attend to Everything? Focus is the Key cites this paper.
Why Attend to Everything? Focus is the Key MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 96fa5758-9f5b-41f7-a1cc-2deed830a7e0 · inbound
AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding cites this paper.
AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 70fc0503-e8dc-4fae-877f-dc822a24bd59 · inbound
VFA: Relieving Vector Operations in Flash Attention with Global Maximum Pre-computation cites this paper.
VFA: Relieving Vector Operations in Flash Attention with Global Maximum Pre-computation MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d330da9-381f-4a9f-91e7-9705836464b4 · inbound
Simplified Sparse Attention via Gist Tokens cites this paper.
Simplified Sparse Attention via Gist Tokens MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb1bedcb-bb67-422e-9551-47fcf22d9926 · inbound
Guess-Verify-Refine: Data-Aware Top-K for Sparse-Attention Decoding on Blackwell via Temporal Correlation cites this paper.
Guess-Verify-Refine: Data-Aware Top-K for Sparse-Attention Decoding on Blackwell via Temporal Correlation MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 46165425-c769-4cba-88ab-9f9a6f8c515d · inbound
Salca: A Sparsity-Aware Hardware Accelerator for Efficient Long-Context Attention Decoding cites this paper.
Salca: A Sparsity-Aware Hardware Accelerator for Efficient Long-Context Attention Decoding MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 80e7fe14-75c1-45c5-bdf0-f2ff75546026 · inbound
MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems cites this paper.
MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 59a50ae5-32e2-4822-9612-85474f9aebdd · inbound
UniPrefill: Universal Long-Context Prefill Acceleration via Block-wise Dynamic Sparsification cites this paper.
UniPrefill: Universal Long-Context Prefill Acceleration via Block-wise Dynamic Sparsification MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 11ef081f-4157-4478-be15-0655e734f5cb · inbound
Long Context Pre-Training with Lighthouse Attention cites this paper.
Long Context Pre-Training with Lighthouse Attention MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b0897f00-1ee1-4dca-8059-d00e17609658 · inbound
MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference cites this paper.
MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a8495edb-0293-4b3b-b588-6a2420b73829 · inbound
An Efficient Hybrid Sparse Attention with CPU-GPU Parallelism for Long-Context Inference cites this paper.
An Efficient Hybrid Sparse Attention with CPU-GPU Parallelism for Long-Context Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f66b317f-425c-486d-89b2-23f33c98abef · inbound
AB-Sparse: Sparse Attention with Adaptive Block Size for Accurate and Efficient Long-Context Inference cites this paper.
AB-Sparse: Sparse Attention with Adaptive Block Size for Accurate and Efficient Long-Context Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 528c7a79-a5f3-4fd2-a759-949c7e27a743 · inbound
CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives cites this paper.
CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:15:46.352230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0fefc4be-0bbb-4834-9867-18a5d02daa44 · inbound
ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices cites this paper.
ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 80
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:03:43.898122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ac3ca924-8a70-4938-bbff-cf5ff5feb2c8 · inbound
CompactAttention: Accelerating Chunked Prefill with Block-Union KV Selection cites this paper.
CompactAttention: Accelerating Chunked Prefill with Block-Union KV Selection MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T21:22:47.954338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8d377bdb-ab8e-4879-bd48-443a7f4da7bb · inbound
KVDrive: A Holistic Multi-Tier KV Cache Management System for Long-Context LLM Inference cites this paper.
KVDrive: A Holistic Multi-Tier KV Cache Management System for Long-Context LLM Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T11:18:13.985129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a4afe736-77b8-4f36-9da0-83346051d342 · inbound
IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference cites this paper.
IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:03:59.891987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0707ab39-5de4-4e2a-8751-07a87169a7b3 · inbound
Meta-Attention: Bayesian Per-Token Routing for Efficient Transformer Inference cites this paper.
Meta-Attention: Bayesian Per-Token Routing for Efficient Transformer Inference MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:53:31.442700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fa47025f-39c9-48de-9077-b6e51fe0753d · inbound
Veda: Scalable Video Diffusion via Distilled Sparse Attention cites this paper.
Veda: Scalable Video Diffusion via Distilled Sparse Attention MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T08:03:14.703191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d0a0992-787b-4667-b0e1-844344b5fcb3 · inbound
PithTrain: A Compact and Agent-Native MoE Training System cites this paper.
PithTrain: A Compact and Agent-Native MoE Training System MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:12:46.518850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f82cc046-74f5-4be5-9c97-881ca97d28ce · inbound
Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents cites this paper.
Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T13:36:59.493601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 98d16934-afb1-4c7a-97c6-94fa64e93098 · inbound
You Only Index Once: Cross-Layer Sparse Attention with Shared Routing cites this paper.
You Only Index Once: Cross-Layer Sparse Attention with Shared Routing MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T13:36:59.573386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 17684f85-2612-453e-9fd9-65cb7539bca8 · inbound
Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning cites this paper.
Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T09:47:59.831441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 10e7ae0c-ac28-4599-9b2c-29186ff03bae · inbound
ScalingAttention: Discovering Intrinsic Sparse Attention Topology for Video Diffusion Transformers cites this paper.
ScalingAttention: Discovering Intrinsic Sparse Attention Topology for Video Diffusion Transformers MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T09:49:44.824110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cb04915f-b1b4-434e-950a-ce400a613889 · inbound
MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers cites this paper.
MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T06:14:17.946951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0d533e4-affd-46cc-805b-fbec043a26c7 · inbound
Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale cites this paper.
Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T20:48:55.260804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5cb92a38-82cb-45da-9c9c-c78b1ab8dd38 · inbound
Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling cites this paper.
Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 6
- Resolution
- malformed identifier
- no resolver link, observed 2026-07-12T05:40:56.557646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60420798-09bf-424f-b3cc-063e7a00f118 · inbound
Uncertainty-gated selection for block-sparse attention cites this paper.
Uncertainty-gated selection for block-sparse attention MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T22:15:14.580916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 261ad5a0-1847-4a54-a4c9-8b71fb2d2987 · inbound
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 77
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T01:36:44.216848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4dd80a52-b285-43e4-b4ad-8148cfacc908 · inbound
Learning What Matters: Supervising Global Context Pruning with Causal Evidence Sets cites this paper.
Learning What Matters: Supervising Global Context Pruning with Causal Evidence Sets MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:14:36.975183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78245182-d1d3-4e19-9e05-613aed85bdd3 · inbound
LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding cites this paper.
LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T11:49:11.707395Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59aba606-4570-4574-8eb9-a9b4061065c8 · inbound
PIVOT: Efficient Query-Group Indexing for Token-Level Sparse Attention cites this paper.
PIVOT: Efficient Query-Group Indexing for Token-Level Sparse Attention MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T11:04:04.532117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f33fcab-a341-4953-ae6e-5a943bd895d5 · inbound
Memory for Large Language Models cites this paper.
Memory for Large Language Models MoBA: Mixture of Block Attention for Long-Context LLMs
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:37:54.207074Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.