Paper Citation Record · LEDGER

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2509.00935.

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

pith.paper-citation-record.v1
2509.00935 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:07:40.860889Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy1
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 543f5233-02c4-4b56-9cc3-523bf977d1bc · outbound

This paper cites DeciMamba: Exploring the Length Extrapolation Potential of Mamba.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.814395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff82415-d74f-4690-aa1e-d2c1e7c09d44 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.818972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9829234-a77b-4e8f-9937-9773c52a7f37 · outbound

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

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.823648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab496551-37d8-489b-aea7-7f600b15f84a · outbound

This paper cites Reformer: The Efficient Transformer.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Reformer: The Efficient Transformer

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.833122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e0edd95-3a4f-46c6-862c-3ed0e369d675 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Jamba: A Hybrid Transformer-Mamba Language Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.837650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32dfe37a-6188-4150-9353-bf11be0219ca · outbound

This paper cites Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.842500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db146689-26c6-4744-b3b2-cd40b4767e83 · outbound

This paper cites Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.851777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b141a4-03e3-4330-a7b7-225a202f226f · outbound

This paper cites Gated Linear Attention Transformers with Hardware-Efficient Training.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Gated Linear Attention Transformers with Hardware-Efficient Training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.856419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b68bbc81-3d7a-486b-aa51-72c095e77cc8 · outbound

This paper cites LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.860889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09380d05-f3d8-417c-beeb-28a88431d4c8 · outbound

This paper cites Longformer: The Long-Document Transformer.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Longformer: The Long-Document Transformer

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.809712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11494bb2-003d-4ad6-8076-881c6277b9b8 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Efficiently Modeling Long Sequences with Structured State Spaces

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.828415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57dd4e0b-429f-4a96-a50e-5d34307d5166 · outbound

This paper cites https://www.anthropic.com/index/ introducing-claude.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers https://www.anthropic.com/index/ introducing-claude

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:07:41.094207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b236f644-51fb-4966-83ca-4ba63d6cf19f · outbound

This paper cites Simple linear attention language models balance the recall-throughput tradeoff.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Simple linear attention language models balance the recall-throughput tradeoff

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.805014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d22d9d7d-a7c5-4080-af3d-869c9601e213 · outbound

This paper cites The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:40.846974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.