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Paper Citation Record · LEDGER

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention

As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.21927.

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

pith.paper-citation-record.v1
2607.21927 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:34:10.243891Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

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  • verified fuzzy7
  • unresolved23
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 30764ecb-a926-49ef-b74b-063bc20e1835 · outbound

This paper cites Neural Inf.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Neural Inf

Reference 1

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b3758ea1-12f0-4276-a4a9-9318e1e98b61 · outbound

This paper cites Neural Inf.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Neural Inf

Reference 2

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Observation 7e471575-88b0-412c-9045-565196bb8c55 · outbound

This paper cites an unresolved cited work.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Unresolved cited work

Reference 3

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Observation 0b645e83-cd1b-4de2-bc08-69077d346703 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Generating Long Sequences with Sparse Transformers

Reference 4

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Observation 23db2b93-a3f0-4354-91af-59ccec391ab0 · outbound

This paper cites Impact of the Hubble tension on the $r$-$n_s$ contour.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Impact of the Hubble tension on the $r$-$n_s$ contour

Reference 6

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Observation 1ab27349-6371-4182-868d-0a65863fed17 · outbound

This paper cites Qwen2 Technical Report.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Qwen2 Technical Report

Reference 7

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Observation 9fc0d956-61fd-465f-9959-9d08644f8f04 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention TinyLlama: An Open-Source Small Language Model

Reference 8

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Observation 03b67e13-0de7-4589-ba7e-528a466a30e3 · outbound

This paper cites an unresolved cited work.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Unresolved cited work

Reference 9

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Observation 60725fdd-096d-4af1-99f0-344180826573 · outbound

This paper cites In-Context Retrieval-Augmented Language Models.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention In-Context Retrieval-Augmented Language Models

Reference 10

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Observation fad5ab27-287b-4e3d-be1e-0d9e14ee1888 · outbound

This paper cites Efficient LLM Inference on CPUs.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Efficient LLM Inference on CPUs

Reference 11

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Observation d13ac528-99d4-4810-956c-6f8385c662b8 · outbound

This paper cites an unresolved cited work.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Unresolved cited work

Reference 12

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 96500358-0fd0-4988-8af0-373f949b2985 · outbound

This paper cites & Patterson, D.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention & Patterson, D

Reference 13

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a04decf3-1539-4f1d-9327-6585eb32f0d6 · outbound

This paper cites DetCo: Unsupervised Contrastive Learning for Object Detection.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention DetCo: Unsupervised Contrastive Learning for Object Detection

Reference 14

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation df09e0d7-8a16-418b-b074-ef06589ee563 · outbound

This paper cites an unresolved cited work.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b1fffb53-93bb-4098-8694-755854b41417 · outbound

This paper cites an unresolved cited work.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0b9e576e-c84f-4b7a-bc45-032c9efc9ff7 · outbound

This paper cites Longformer: The Long-Document Transformer.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Longformer: The Long-Document Transformer

Reference 17

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Observation f688bb4c-c086-41af-943a-f07d95182783 · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 18

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Observation fb731288-4833-4aac-8aeb-b1230db4e7dc · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention LoRA: Low-Rank Adaptation of Large Language Models

Reference 19

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Observation d19433b2-e8b4-4f27-96c0-7d74be643f2a · outbound

This paper cites On the Relationship between Self-Attention and Convolutional Layers.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention On the Relationship between Self-Attention and Convolutional Layers

Reference 20

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Observation 411a862b-8259-4a35-a0e5-c01513754f5b · outbound

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

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 21

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Observation 0650c06a-e033-4913-b511-207f85f19bbc · outbound

This paper cites & Shazeer, N.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention & Shazeer, N

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5c895ddb-2160-4cc8-aca8-9f93cea26d87 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Linformer: Self-Attention with Linear Complexity

Reference 23

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Observation 9a4dd6ee-94d2-42d1-ace4-aa55fb96ffeb · outbound

This paper cites an unresolved cited work.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Unresolved cited work

Reference 24

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Observation d4b88854-d178-416b-99e8-e6dc6061e8b6 · outbound

This paper cites The Impact of Positional Encoding on Length Generalization in Transformers.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention The Impact of Positional Encoding on Length Generalization in Transformers

Reference 25

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Observation 28488582-e149-4b4e-979e-e29ced7e9869 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 26

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Observation b0544131-46a9-4dd1-b525-7018e016bea0 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention YaRN: Efficient Context Window Extension of Large Language Models

Reference 27

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Observation 8670e81a-ccc6-46e8-9956-3bf8bd7a9a90 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 28

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Observation 9b6dc3f0-124b-4bc7-919d-3d81f4631835 · outbound

This paper cites Transactions of the Association for Computational Linguistics7, 453–466 (2019).

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Transactions of the Association for Computational Linguistics7, 453–466 (2019)

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation de90c1a0-3076-4b3a-b126-dd7e532db1cf · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 30

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Observation af63e0d2-946d-449b-9601-e25c4920dac8 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 31

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Observation db50e5b7-720e-401a-a056-56e4a352ae89 · outbound

This paper cites & Upfal, E.Probability and Computing: Randomized Algorithms and Probabilistic Analysis.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention & Upfal, E.Probability and Computing: Randomized Algorithms and Probabilistic Analysis

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e8741560-7f27-457d-8c03-c8565ed93079 · outbound

This paper cites & Ullman, J.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention & Ullman, J

Reference 33

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raw_fallback, observed 2026-08-15T15:34:10.717989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.