Paper Citation Record · LEDGER

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling

As of 5 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2607.02980.

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

pith.paper-citation-record.v1
2607.02980 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:40:56.557646Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T11:49:11.671759Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy0
unresolved50
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2eb64c77-23c0-476e-85f8-a772b4ff3e7c · outbound

This paper cites Language models are few-shot learners.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Language models are few-shot learners

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34930743-82ec-4477-9df2-68251098acf8 · outbound

This paper cites GPT-4 Technical Report.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec48742f-c459-4bc0-a86a-403df44cccdf · outbound

This paper cites Ringattention with blockwise transformers for near-infinite context.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Ringattention with blockwise transformers for near-infinite context

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8773a429-c908-4866-b31a-46822a454302 · outbound

This paper cites Efficient length-generalizable attention via causal retrieval for long-context language modeling.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Efficient length-generalizable attention via causal retrieval for long-context language modeling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17a45e6a-823a-47b9-ac14-4698687336b2 · outbound

This paper cites Native sparse attention: Hardware-aligned and natively trainable sparse attention.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Native sparse attention: Hardware-aligned and natively trainable sparse attention

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb92a38-82cb-45da-9c9c-c78b1ab8dd38 · outbound

This paper cites MoBA: Mixture of Block Attention for Long-Context LLMs.

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 f6d71465-b57f-473f-9d72-473ebacc8f7b · outbound

This paper cites Nosa: Native and offloadable sparse attention,.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Nosa: Native and offloadable sparse attention,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f65b2b7-da87-4d54-ba3c-af7082b61107 · outbound

This paper cites an unresolved cited work.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25e20da4-6683-45c2-9d06-3eeaf97c104c · outbound

This paper cites Random-access infinite context length for transformers.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Random-access infinite context length for transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 217fb610-a863-4caf-848f-c46c5b852002 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e1348ee-951a-49e9-91d4-66de81d2f2c0 · outbound

This paper cites Longbench: A bilingual, multitask benchmark for long context understanding.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Longbench: A bilingual, multitask benchmark for long context understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c3a0ce-0857-4a7e-85c9-fa4e2ca2ad0d · outbound

This paper cites YaRN: Efficient context window extension of large language models.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling YaRN: Efficient context window extension of large language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fe7ba32-cb6c-42d6-811c-94fefdf0d91f · outbound

This paper cites an unresolved cited work.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d874e0-21e1-48a4-ab53-12e2bbbc76c0 · outbound

This paper cites MiniMax Sparse Attention.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling MiniMax Sparse Attention

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

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Observation 29165f26-caea-4d0c-b9a1-519ddc4ef9b5 · outbound

This paper cites Qwen3 Technical Report.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Qwen3 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0eeb4ec-c1e0-4a04-9783-026b7ddbdb38 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ccf919-1941-42ef-a4da-1936a14c631d · outbound

This paper cites HoPE: A novel positional encoding without long-term decay for enhanced context awareness and extrapolation.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling HoPE: A novel positional encoding without long-term decay for enhanced context awareness and extrapolation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e95ecd2-8605-4478-a694-1e940fd4a8e2 · outbound

This paper cites GQA: Training generalized multi-query transformer models from multi-head checkpoints.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling GQA: Training generalized multi-query transformer models from multi-head checkpoints

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47593d0b-0359-4689-83b8-528d3aad2dc9 · outbound

This paper cites Fast inference from transformers via speculative decoding.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Fast inference from transformers via speculative decoding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9947f1f7-56d7-436a-afb2-71d950ce5b47 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI Technical Report, 2019.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Language models are unsupervised multitask learners.OpenAI Technical Report, 2019

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e7bc4cc-7b70-4e85-a77e-2cdab854799c · outbound

This paper cites Rattention: Towards the minimal sliding window size in local-global attention models, 2025.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Rattention: Towards the minimal sliding window size in local-global attention models, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa60914-cc84-4f73-91f5-3bc3f6b31e7e · outbound

This paper cites an unresolved cited work.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db6737fa-c185-44b1-a272-8815764a89af · outbound

This paper cites DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae363642-9bf0-4d8f-bb92-7602650eef04 · outbound

This paper cites Infllm-v2: Dense-sparse switchable attention for seamless short-to-long adaptation, 2025.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Infllm-v2: Dense-sparse switchable attention for seamless short-to-long adaptation, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f273f31-422c-43cb-9ceb-00faaf201f69 · outbound

This paper cites Every token counts: Gener- alizing 16m ultra-long context in large language models.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Every token counts: Gener- alizing 16m ultra-long context in large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6e90398-6c6a-46bd-9bb5-3f8eef7e7fd2 · outbound

This paper cites dolma3_longmino_mix-50b-1025 dataset.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling dolma3_longmino_mix-50b-1025 dataset

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb0b007-87fd-40e1-848b-91b2ad09de29 · outbound

This paper cites Olmo-3-1025-7b (stage1-step999000).

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Olmo-3-1025-7b (stage1-step999000)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f4b10b8-1d3b-40f1-b280-0490f488d892 · outbound

This paper cites Olmo 3.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Olmo 3

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 303e54f1-e3b4-4172-9751-c76ff02f98a7 · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling SGLang: Efficient Execution of Structured Language Model Programs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9669ab1-3d6d-455d-91be-929e3fdbc354 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b285cdf4-9467-4eef-a267-1ec0c423dd1d · outbound

This paper cites SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da987b74-1eb0-417a-bdac-07e845b9065c · outbound

This paper cites Hardware-aligned hierarchical sparse attention for efficient long-term memory access.Advances in Neural Information Processing Systems, 38:88925–88950,.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Hardware-aligned hierarchical sparse attention for efficient long-term memory access.Advances in Neural Information Processing Systems, 38:88925–88950,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6c9495c-bae7-4590-bb50-3809c920a931 · outbound

This paper cites Understanding and improving length generalization in hierarchical sparse attention models.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Understanding and improving length generalization in hierarchical sparse attention models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc5bbf46-6c84-4dc5-8e72-f1ffa29fc55a · outbound

This paper cites The faiss library.IEEE Transactions on Big Data, 12(2):346–361, 2026.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling The faiss library.IEEE Transactions on Big Data, 12(2):346–361, 2026

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d0e754e-9bc2-428c-8da6-565d9fa21d6b · outbound

This paper cites Dolma 3 mix 6t-1025-7b dataset.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Dolma 3 mix 6t-1025-7b dataset

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f411e60-f8a7-40b4-8cfd-35de3d95eadb · outbound

This paper cites The lambada dataset: Word prediction requiring a broad discourse context.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling The lambada dataset: Word prediction requiring a broad discourse context

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

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Observation 5329cc48-bf44-44a8-88ff-32873767751b · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th annual meeting of the association for computational linguistics, pages 4791–4800, 2019.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th annual meeting of the association for computational linguistics, pages 4791–4800, 2019

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

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Unavailable: canonical work link unavailable.

Observation 86bf55b9-258b-44e2-8be7-e83a404c2416 · outbound

This paper cites Piqa: Reasoning about physical common- sense in natural language.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Piqa: Reasoning about physical common- sense in natural language

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e295f4f-e20a-4fbe-bba1-1d7ca27d940f · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6681cec1-207e-4b6b-9ca0-8d422554f1ec · outbound

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

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e7934f-e603-465c-8792-b204af0cde50 · outbound

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

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f620287b-1372-4f80-81b9-d35a88006dc7 · outbound

This paper cites Measuring massive multitask language understanding.Proceedings of the International Conference on Learning Representations (ICLR), 2021.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Measuring massive multitask language understanding.Proceedings of the International Conference on Learning Representations (ICLR), 2021

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc67cd23-2f20-4c67-a0d9-4dea8e6ca608 · outbound

This paper cites an unresolved cited work.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a80f55e-ff32-4f82-a1c8-3d653b10492a · outbound

This paper cites BoolQ: Exploring the surprising difficulty of natural yes/no questions.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling BoolQ: Exploring the surprising difficulty of natural yes/no questions

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f99ebb-3173-4731-9e08-783b2aabcdea · outbound

This paper cites RACE: Large-scale ReAding comprehension dataset from examinations.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling RACE: Large-scale ReAding comprehension dataset from examinations

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41bad85f-b01e-446c-9c98-289b6466dcd3 · outbound

This paper cites CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a81a954-a59f-4135-863d-6966df4731b1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Training Verifiers to Solve Math Word Problems

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 495266bb-87a8-4fb5-bad5-983b142b88ea · outbound

This paper cites CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1950537a-21f8-4a9f-a106-e4e445b091a5 · outbound

This paper cites Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14135837-3c3e-4057-9558-449eb5afe4e0 · outbound

This paper cites Evaluating language models for efficient code generation.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Evaluating language models for efficient code generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15270d1a-3bd3-461a-a3c5-877816679de1 · outbound

This paper cites Program Synthesis with Large Language Models.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Program Synthesis with Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-12T05:40:56.557646Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 14757c3e-1a75-4357-91d4-012f5450664d · 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 Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T11:49:11.671759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.