Paper Citation Record · LEDGER

Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2310.05175.

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

pith.paper-citation-record.v1
2310.05175 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:58:47.118068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.495533Z

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 11843369-3084-452a-be33-b5b9ae8df156 · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-17T18:00:50.448044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 448c3dde-710e-4f4c-9dbf-5fef9b597f70 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 267

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.198473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5c7acba-c9af-4b5d-a774-2f36e9dc24ba · inbound

Pushing the Limits of Large Language Model Quantization via the Linearity Theorem cites this paper.

Pushing the Limits of Large Language Model Quantization via the Linearity Theorem Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T12:07:30.262218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b90b74d-5545-4467-977d-8d61c9cd376f · inbound

Is Oracle Pruning the True Oracle? cites this paper.

Is Oracle Pruning the True Oracle? Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T10:22:09.390014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ef1976-1e15-49df-8559-fd95f273015c · inbound

Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN cites this paper.

Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T12:53:33.568841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed13a50e-67c2-4b94-b76c-a7dbe3d16b68 · inbound

ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs cites this paper.

ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T19:42:41.430360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 960c1af9-ac41-4784-877c-0b3489ae88f3 · 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 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T17:37:39.618406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d13183e9-b65c-4b3f-bdb4-2e5a59b3ff48 · inbound

Systematic Outliers in Large Language Models cites this paper.

Systematic Outliers in Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T15:37:37.544678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2726795-01f5-4ed3-8fca-8eedcd883b9e · inbound

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

R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:47.118068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14089137-cf2e-463d-ad5b-558a5d729da8 · inbound

Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models cites this paper.

Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:58.317981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac7c410-f328-4c0c-b2d5-37322410a269 · inbound

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models cites this paper.

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:32.127470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f4ccdc-ee8c-4393-9781-ae7f3bc2ea3d · inbound

RAP: Runtime Adaptive Pruning for LLM Inference cites this paper.

RAP: Runtime Adaptive Pruning for LLM Inference Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:21:35.520787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83154707-d389-4e84-a03c-0e9a35a6b810 · inbound

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling cites this paper.

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:22.533903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32beb716-12c2-45f8-8030-a20d36cd74e8 · inbound

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer cites this paper.

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:22.213839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da610b3d-80d9-4024-817f-9d69ad6fc237 · inbound

SlimLLM: Accurate Structured Pruning for Large Language Models cites this paper.

SlimLLM: Accurate Structured Pruning for Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:20.966547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52659e9c-dcc0-4cf0-ae10-318c363af065 · inbound

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias cites this paper.

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:51.939296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bec7733-1361-4ff9-ad4c-546b2a85b73f · inbound

MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs cites this paper.

MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:02:14.387859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e180557-d46f-47e4-a24b-c577b55b8202 · inbound

Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs cites this paper.

Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:43.574471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f43d3f-f8d2-42ae-ae1f-deaa3e0bce1e · inbound

Delta Activations: A Representation for Finetuned Large Language Models cites this paper.

Delta Activations: A Representation for Finetuned Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T16:32:08.636003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 952dc2fc-7852-4694-9327-6cd42dbbdd40 · 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 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:21:19.037429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 90f5a7c0-0544-485c-ad71-94a51b8662c0 · 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 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:54:51.140973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 404d1b5a-ddc4-4427-ac05-c62881a698b7 · inbound

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models cites this paper.

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:40:46.210559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 906bb0b8-06fc-4300-b667-5d930d75d4fe · inbound

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE cites this paper.

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:35:55.593637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 234eb3a6-f68e-4e52-a3f0-07822113151f · inbound

When Does Sparsity Mitigate the Curse of Depth in LLMs cites this paper.

When Does Sparsity Mitigate the Curse of Depth in LLMs Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T20:29:33.439034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 678f365a-05e4-48d7-8849-969fbbcc697a · inbound

Topology-Aware Layer Pruning for Large Vision-Language Models cites this paper.

Topology-Aware Layer Pruning for Large Vision-Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 6

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T09:00:59.437599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0de93011-4927-4e08-ab1a-6efe76e48195 · inbound

Statistically-Lossless Quantization of Large Language Models cites this paper.

Statistically-Lossless Quantization of Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:31:10.043243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation abd95f39-4c6e-47cc-9eaa-2eb195b38b3e · inbound

TIDE: Every Layer Knows the Token Beneath the Context cites this paper.

TIDE: Every Layer Knows the Token Beneath the Context Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 116

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:56:09.947767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71621750-b6f7-4726-98b4-06102c244475 · inbound

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask cites this paper.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:06:08.474183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78fbfdb7-9ba3-415b-8a08-c6aea7a17c34 · inbound

HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts cites this paper.

HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:55:04.754307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4ec3a4c-ed00-4e7f-9a9d-b11052073fc2 · inbound

HORST: Composing Optimizer Geometries for Sparse Transformer Training cites this paper.

HORST: Composing Optimizer Geometries for Sparse Transformer Training Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 88

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T06:29:42.121353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da8fed3b-558d-4a8a-9c82-6a98b86bd284 · inbound

Less is MoE: Trimming Experts in Domain-Specialist Language Models cites this paper.

Less is MoE: Trimming Experts in Domain-Specialist Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:36:55.497707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d029573f-fa06-4b00-921f-cdcb2dfd9020 · inbound

Complexity-Guided Component-wise Initialization for Language Model Pretraining cites this paper.

Complexity-Guided Component-wise Initialization for Language Model Pretraining Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T04:43:05.157923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439dc281-0d6d-4b2f-87ae-a8e357a1c8fc · inbound

Omega-S: A Functional Resilience Index for LLM Fine-Tuning cites this paper.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.542193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e1e48da-62d4-4e61-af21-c3241e6000ff · inbound

Prune Once: Retraining-Free Task-Agnostic Pruning for Vision-Language Models cites this paper.

Prune Once: Retraining-Free Task-Agnostic Pruning for Vision-Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T18:47:14.121790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.