Paper Citation Record · LEDGER

Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.05955.

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

pith.paper-citation-record.v1
2406.05955 v2

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:44:00.630570Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:30:22.665091Z

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 4429da89-7e1a-4f88-8de7-731eb9f950dc · inbound

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters cites this paper.

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-08T13:44:00.630570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e03d1162-e296-44da-a76d-51bfbd2de612 · inbound

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity cites this paper.

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.389662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cd80fb8-f662-4335-b9b1-3b3e636e1bb1 · inbound

Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models cites this paper.

Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T05:11:11.654254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0819e8e7-d7cf-4faf-9c07-2aeeba2c2ca2 · inbound

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes cites this paper.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:48:19.607636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d91b01b0-66f2-4645-b40b-864a7b854549 · inbound

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes cites this paper.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:16:19.642778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b67cdbe6-c26a-46a1-a828-4d88e5ff7d5c · inbound

Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation cites this paper.

Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:30:22.667562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.