Paper Citation Record · LEDGER

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference

As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2605.07363.

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

pith.paper-citation-record.v1
2605.07363 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:27:55.991919Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T01:55:09.658053Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:57:51.710279Z

Reference resolution

33 of 33 outbound references displayed

verified exact18
verified fuzzy8
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9a36d0f-9678-4daa-8a90-41162c9ea171 · outbound

This paper cites Introducing Claude Opus 4.7.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Introducing Claude Opus 4.7

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T12:35:15.410226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f522e26b-f321-4175-bd7c-f49df9d713cd · outbound

This paper cites Indexcache: Accelerating sparse attention via cross-layer index reuse.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Indexcache: Accelerating sparse attention via cross-layer index reuse

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:56.563898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c12e082b-a273-4c74-b016-0b9ccbbd83d3 · outbound

This paper cites Longformer: The Long-Document Transformer.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Longformer: The Long-Document Transformer

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T03:30:56.451892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e5b6112-8330-45fc-9d69-023112795595 · outbound

This paper cites MagicPIG: LSH Sampling for Efficient LLM Generation.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference MagicPIG: LSH Sampling for Efficient LLM Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:56.411973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ce913117-6874-4b6f-a249-33bef6449870 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Generating Long Sequences with Sparse Transformers

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:30:56.502407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dae1dbdb-ce78-47b5-a5cf-a418b972445a · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:50:20.439308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c507ef6a-6acd-40cb-853c-6bde391abdb0 · outbound

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

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:30:56.394117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 986ec7ee-9894-4022-acd4-a628d0cde128 · outbound

This paper cites DeepSeek-V4: Towards highly efficient million-token context.Technical Report, DeepSeek.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference DeepSeek-V4: Towards highly efficient million-token context.Technical Report, DeepSeek

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T12:35:15.391428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c2a0c222-1184-49d8-8db6-b038287e8c2a · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:57:11.134962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e91831c1-8e6e-4b27-b64d-7763b5db5d4b · outbound

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

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:56.540017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc0c9dd7-c851-415c-b97a-e4a13808ef54 · outbound

This paper cites Gemini 3: A new era of intelligence.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Gemini 3: A new era of intelligence

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T12:35:15.403225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0c7df7b1-847f-4004-950b-729561a0263b · outbound

This paper cites Mixtral of Experts.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Mixtral of Experts

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T03:30:56.546230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f4ef40e-8dc8-4034-98c6-001b3517bcc0 · outbound

This paper cites Moh: Multi-head attention as mixture-of-head attention.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Moh: Multi-head attention as mixture-of-head attention

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:56.463733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 37daca28-299e-4d2c-b503-4c22c27e29c6 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:30:56.551559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1d8eaca9-34ec-4343-ad59-a6f847d3af5e · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 15

Resolution: verified exact; 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 2026-08-05T06:32:48.257954+00:00.

Observation 7a1255c1-0344-4ec4-b9e1-8c09edd69192 · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference SnapKV: LLM Knows What You are Looking for Before Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T12:57:43.256882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b0897f00-1ee1-4dca-8059-d00e17609658 · outbound

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

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 2026-08-05T06:32:48.257954+00:00.

Observation dcf4542a-904c-4e80-8d22-9a7547b698ea · outbound

This paper cites Kimi K2: Open agentic intelligence.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Kimi K2: Open agentic intelligence

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T12:35:15.395974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3238e8bf-6309-4218-890b-477adb94e268 · outbound

This paper cites Introducing GPT-5.5.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Introducing GPT-5.5

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T12:35:15.413675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa952ab4-9b27-4adf-9db9-c79e3bf76b62 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:30:56.508389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb396611-294a-4a83-a9a1-aad706f1076a · outbound

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

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:12:21.110645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6833d093-6f8f-40ec-9c39-9bccd792a586 · outbound

This paper cites InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:30:56.375873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb0ba58d-e7dd-40d7-b256-443f559dfb3e · outbound

This paper cites Efficient streaming language models with attention sinks.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Efficient streaming language models with attention sinks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T12:35:15.399691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0fa2ef93-ac8c-404e-85a5-eb73bc872a92 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Efficient Streaming Language Models with Attention Sinks

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:30:56.468603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 268c7aea-e243-4a3f-b23a-3a5d63664b4a · outbound

This paper cites HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:30:56.369152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b8e3921d-dff3-4abe-a338-4610f3da69cc · outbound

This paper cites Qwen3 Technical Report.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Qwen3 Technical Report

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:30:56.436638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e76698ae-4700-42e5-a47c-e70ba82b6cdf · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T23:46:30.294205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 127cb2ff-e5ae-4b35-9284-e3e57ad64398 · outbound

This paper cites Big bird: Transformers for longer sequences.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Big bird: Transformers for longer sequences

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T12:35:15.387596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4d2c8331-d083-41d8-9e09-46961bc62ef4 · outbound

This paper cites Big Bird: Transformers for Longer Sequences.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Big Bird: Transformers for Longer Sequences

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:54:01.139247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20b0fdd4-87e8-463d-a5aa-c36474994de4 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference GLM-5: from Vibe Coding to Agentic Engineering

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:46:41.418110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 899edbde-80e4-45f3-8cb6-41f16005532d · outbound

This paper cites Mixture of Attention Heads: Selecting Attention Heads Per Token.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Mixture of Attention Heads: Selecting Attention Heads Per Token

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:56.432036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d1d313f6-5cca-4500-9a0b-e416e8a8d1de · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 33

Resolution: malformed identifier; arxiv_id, observed 2026-05-17T18:00:50.699870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 225359fc-4b72-4096-84cd-7b627b5aa297 · outbound

This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T12:35:15.406628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 345229f4-aeeb-4d4d-a3f1-4401f8c9087d · inbound

Think Before You Grid-Search: Floor-First Triage for LLM Serving cites this paper.

Think Before You Grid-Search: Floor-First Triage for LLM Serving MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:45:40.112264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ee00fb2-e902-4d49-9563-c6e5fda339f6 · inbound

Think Before You Grid-Search: Floor-First Triage for LLM Serving cites this paper.

Think Before You Grid-Search: Floor-First Triage for LLM Serving MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-11T01:57:51.736154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.