Paper Citation Record · LEDGER

Training-Free Activation Sparsity in Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2408.14690.

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

pith.paper-citation-record.v1
2408.14690 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:22:24.639464Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:45.400631Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 f9a0eb75-224d-473b-8ef3-892b5dbb00d9 · inbound

SparseInfer: Training-free Prediction of Activation Sparsity for Fast LLM Inference cites this paper.

SparseInfer: Training-free Prediction of Activation Sparsity for Fast LLM Inference Training-Free Activation Sparsity in Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T17:20:31.958949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9d39f9a-2862-4fbb-bb56-cb5a9878fac3 · inbound

Mixture of Hidden-Dimensions Transformer cites this paper.

Mixture of Hidden-Dimensions Transformer Training-Free Activation Sparsity in Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T20:38:23.587766Z

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Observation ea868a50-58ce-4fff-8c14-b5b99ff10258 · inbound

Lillama: Large Language Models Compression via Low-Rank Feature Distillation cites this paper.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Training-Free Activation Sparsity in Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.161217Z

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Observation 4e6321c5-dda7-4236-96aa-7c40970326c2 · inbound

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense cites this paper.

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense Training-Free Activation Sparsity in Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T17:37:39.505073Z

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Observation e86f556c-2ba9-45b0-9480-61098180e33a · inbound

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models cites this paper.

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models Training-Free Activation Sparsity in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:04.451732Z

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Observation 33563ad5-77f4-4ae8-933c-8bf5281a6570 · inbound

BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs cites this paper.

BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs Training-Free Activation Sparsity in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:24.639464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e47e4885-db6b-4a81-8fd1-a85ed2c1b644 · inbound

R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference cites this paper.

R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Training-Free Activation Sparsity in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:46.829352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 721b679f-5e19-4d5b-8847-d32c9d840572 · inbound

FloE: On-the-Fly MoE Inference on Memory-constrained GPU cites this paper.

FloE: On-the-Fly MoE Inference on Memory-constrained GPU Training-Free Activation Sparsity in Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T23:00:17.937817Z

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Observation 53c31b0e-e25b-49dc-9b1a-8400deddb2fc · inbound

Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas cites this paper.

Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas Training-Free Activation Sparsity in Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:55.783751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60be2650-01e8-44fe-afb5-052321742ec1 · inbound

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity cites this paper.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Training-Free Activation Sparsity in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.020889Z

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Unavailable: canonical work link unavailable.

Observation 6dd825a6-8241-4e40-9fc7-d789cffa74ad · inbound

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework cites this paper.

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework Training-Free Activation Sparsity in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:20.119238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d75ec5c4-fa9e-4bc1-91ee-a62d1efc605f · inbound

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference cites this paper.

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference Training-Free Activation Sparsity in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:17:43.859667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2bee87a-4886-4f4a-9731-77cef304fd5d · 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 Training-Free Activation Sparsity in Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T05:11:11.612043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42a286d6-9825-4df1-84eb-66fd99bea4dd · inbound

Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches cites this paper.

Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches Training-Free Activation Sparsity in Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:41:25.916994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c4f5c39-bf72-4f25-91cd-7e394c36013b · inbound

Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity cites this paper.

Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity Training-Free Activation Sparsity in Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:21:18.992030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 993a2a68-66fa-41a4-bb1b-73491b8b50ad · inbound

Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity cites this paper.

Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity Training-Free Activation Sparsity in Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:54:51.106159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aaa0d1d7-0b32-4453-aed1-a9f4d2dcca79 · inbound

Gated Subspace Inference for Transformer Acceleration cites this paper.

Gated Subspace Inference for Transformer Acceleration Training-Free Activation Sparsity in Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.896633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2034a22f-f9a7-4bef-8a67-069eeef830b7 · inbound

Compute Where it Counts: Self Optimizing Language Models cites this paper.

Compute Where it Counts: Self Optimizing Language Models Training-Free Activation Sparsity in Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:46:29.451604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f505cd88-58d3-46d7-811b-f73ab9a60fd3 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Training-Free Activation Sparsity in Large Language Models

Reference 189

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:36:20.026820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3fb8a6c7-c516-43ba-b37a-09414f6ae175 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Training-Free Activation Sparsity in Large Language Models

Reference 189

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:32:30.384267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b0eeae31-0726-4c42-878a-90a066666574 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Training-Free Activation Sparsity in Large Language Models

Reference 189

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:59:50.178544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fee365af-f003-4104-8ea8-8c5eccfd92b9 · inbound

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

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Training-Free Activation Sparsity in Large Language Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T13:48:19.617067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb60ca70-2e4d-41a7-a076-da0c8a450ea4 · inbound

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

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Training-Free Activation Sparsity in Large Language Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T09:16:19.669502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1f311371-5e46-43ae-ba22-5b46a66bfc6d · inbound

RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models cites this paper.

RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models Training-Free Activation Sparsity in Large Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:54.716570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de286cbe-e031-4ce6-9631-d83d694d3633 · inbound

GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation cites this paper.

GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation Training-Free Activation Sparsity in Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:39:45.402234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 996062ec-a66b-457b-a281-d25893ac8965 · inbound

It Takes a MAESTRO To Prune Bad Experts cites this paper.

It Takes a MAESTRO To Prune Bad Experts Training-Free Activation Sparsity in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T07:56:24.625241Z

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Unavailable: canonical work link unavailable.

Observation 713147ac-3da5-4830-9770-8dfa6e57943e · inbound

MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language Models cites this paper.

MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language Models Training-Free Activation Sparsity in Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T11:58:22.293241Z

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Unavailable: canonical work link unavailable.

Observation e52f6848-aa3b-48c8-815a-a5e43eaebdba · inbound

Unifying Depth and Width Pruning for LLMs via Binary Knapsack Optimization cites this paper.

Unifying Depth and Width Pruning for LLMs via Binary Knapsack Optimization Training-Free Activation Sparsity in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:58:17.694467Z

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Unavailable: canonical work link unavailable.

Observation 39b881e7-adc2-4705-b610-ae0a32dd6223 · inbound

Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference cites this paper.

Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference Training-Free Activation Sparsity in Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-14T11:18:55.827503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.