Paper Citation Record · LEDGER

BlockPruner: Fine-grained Pruning for Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.10594.

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

pith.paper-citation-record.v1
2406.10594 v4

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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:54:18.017977Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:31.599473Z

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 a1da7d73-9e1b-4f14-927c-97920d2617e2 · inbound

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

RAP: Runtime Adaptive Pruning for LLM Inference BlockPruner: Fine-grained Pruning for Large Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:21:35.624281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b491ff1c-699f-4a69-9c7a-544990760c87 · inbound

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning cites this paper.

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning BlockPruner: Fine-grained Pruning for Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:18.017977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fef4010-0458-46f8-96b0-18265d020eee · inbound

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs cites this paper.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs BlockPruner: Fine-grained Pruning for Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T05:01:16.402118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f076a612-3a6d-4de1-9f4f-f58f04997241 · inbound

AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs cites this paper.

AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs BlockPruner: Fine-grained Pruning for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T17:05:55.047920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 593fc168-27a7-42b8-b745-ccab2b27d16b · inbound

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs cites this paper.

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs BlockPruner: Fine-grained Pruning for Large Language Models

Reference 206

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:31.601301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eae9f883-b582-45c3-a052-d1e00201dc5e · inbound

Celty: SpMspV GPU Kernel and SIMT Co-Design for Efficient Dual-Sparse LLM Inference cites this paper.

Celty: SpMspV GPU Kernel and SIMT Co-Design for Efficient Dual-Sparse LLM Inference BlockPruner: Fine-grained Pruning for Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T00:09:29.407949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.