Paper Citation Record · LEDGER

Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.08944.

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

pith.paper-citation-record.v1
2405.08944 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:38.844275Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:59.454906Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bf3a50cf-0d8b-4ffe-b341-7bea06ba24ca · inbound

Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing cites this paper.

Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:38.844275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea84603b-c5ee-4a70-9602-28b9142a0bb8 · inbound

Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV Cache cites this paper.

Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV Cache Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T01:10:37.895512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e6ed43-a952-42ca-8181-d0dfda5c84ef · inbound

SinkRouter: Sink-Aware Routing for Efficient Long-Context Decoding in Large Language and Multimodal Models cites this paper.

SinkRouter: Sink-Aware Routing for Efficient Long-Context Decoding in Large Language and Multimodal Models Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:57:15.436516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03f8c0a9-e921-4487-83ed-5a47f09806cf · 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 Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:11:18.898238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c45c440e-452a-44ff-9f52-287c5a5aa11c · inbound

Sparse Prefix Caching for Hybrid and Recurrent LLM Serving cites this paper.

Sparse Prefix Caching for Hybrid and Recurrent LLM Serving Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:53:04.437513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 43d62ec4-7681-4abc-aeb6-6c5d3c7aa486 · inbound

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition cites this paper.

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:06:59.456248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.