Paper Citation Record · LEDGER

Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.01365.

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

pith.paper-citation-record.v1
2404.01365 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:29.096334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T10:34:07.226471Z

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 6c66b875-2d13-408a-833d-bbbbcfb3d03b · inbound

Instruction-Following Pruning for Large Language Models cites this paper.

Instruction-Following Pruning for Large Language Models Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:29.096334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cff3ff74-b5bd-43bc-974c-a6590da3ef47 · inbound

Machine Learning and statistical classification of CRISPR-Cas12a diagnostic assays cites this paper.

Machine Learning and statistical classification of CRISPR-Cas12a diagnostic assays Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:45.766818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b133cfa-df0e-4ec1-ba82-26bf5538d5ac · inbound

A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering cites this paper.

A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:17:29.862879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1124b42-480f-4e7b-8827-72984b145f27 · inbound

Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation cites this paper.

Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:34:07.228297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.