Paper Citation Record · LEDGER

Sliding Window Attention Training for Efficient Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2502.18845.

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

pith.paper-citation-record.v1
2502.18845 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:44:35.700092Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa2d1f11-e831-4cc3-8e84-d63eab42fe7e · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Sliding Window Attention Training for Efficient Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:08.801191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6dbe7e67-5a43-46ef-a1ab-dab7c645d80b · inbound

IAFormer: Interaction-Aware Transformer network for collider data analysis cites this paper.

IAFormer: Interaction-Aware Transformer network for collider data analysis Sliding Window Attention Training for Efficient Large Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:14:59.625561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d3997a7-72b2-45c8-b6e9-534e8b3c774e · inbound

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism cites this paper.

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism Sliding Window Attention Training for Efficient Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:05:47.979857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation caa55b29-026e-4aa0-974f-d9e571b99a9d · inbound

Beyond Few-Step Inference: Accelerating Video Diffusion Transformer Model Serving with Inter-Request Caching Reuse cites this paper.

Beyond Few-Step Inference: Accelerating Video Diffusion Transformer Model Serving with Inter-Request Caching Reuse Sliding Window Attention Training for Efficient Large Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:50:56.086892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 504b86fc-5c12-47e3-a090-8a0a6792d74f · inbound

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation cites this paper.

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation Sliding Window Attention Training for Efficient Large Language Models

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:57.944778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cb757ed9-d768-473f-943a-8be85df54e38 · inbound

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention cites this paper.

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention Sliding Window Attention Training for Efficient Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:25:09.353545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79621d60-d126-4cf9-b7dc-3ff462bbc1de · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs Sliding Window Attention Training for Efficient Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:40:53.482831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d4a402c2-d161-41e5-814a-12b120a93015 · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs Sliding Window Attention Training for Efficient Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:19:52.958566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f78b859e-3052-409d-9ebe-df1b80694318 · inbound

Training-Inference Consistent Segmented Execution for Long-Context LLMs cites this paper.

Training-Inference Consistent Segmented Execution for Long-Context LLMs Sliding Window Attention Training for Efficient Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:57:27.261081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e8bb4a9-e750-43f8-a2ce-323ac8a0faf2 · inbound

HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression cites this paper.

HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression Sliding Window Attention Training for Efficient Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:44:37.420027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2d61c39c-110e-49ec-bc3d-c7d85889c825 · inbound

Autonomy-of-Heads: Data-Free Sparse Attention from Frozen Query-Key Geometry cites this paper.

Autonomy-of-Heads: Data-Free Sparse Attention from Frozen Query-Key Geometry Sliding Window Attention Training for Efficient Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:35.700092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.