Paper Citation Record · LEDGER

Movement Pruning: Adaptive Sparsity by Fine-Tuning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2005.07683.

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

pith.paper-citation-record.v1
2005.07683 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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:56:16.895359Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:17.315641Z

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 a4aa2277-24e4-4919-8932-a7ee14c9b863 · inbound

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness cites this paper.

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness Movement Pruning: Adaptive Sparsity by Fine-Tuning

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-12T16:22:08.995801Z

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 ca6acc0d-72c8-4d27-b7b3-9a640d385e72 · inbound

The Carbon Cost of Conversation, Sustainability in the Age of Language Models cites this paper.

The Carbon Cost of Conversation, Sustainability in the Age of Language Models Movement Pruning: Adaptive Sparsity by Fine-Tuning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:16.895359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15bff839-5809-4602-a976-2975f142d3a1 · inbound

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study cites this paper.

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study Movement Pruning: Adaptive Sparsity by Fine-Tuning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T13:22:47.097104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92fcb2b2-ed16-4e93-a05c-feab83f9e0a1 · inbound

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency cites this paper.

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency Movement Pruning: Adaptive Sparsity by Fine-Tuning

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:56:14.886080Z

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 137020c2-d170-4874-bff3-73701d0d83db · inbound

Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators cites this paper.

Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators Movement Pruning: Adaptive Sparsity by Fine-Tuning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:11:27.009057Z

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 2ca13b8d-257c-4d8a-a80d-5983e3ff57ae · inbound

Do Transformers Need Three Projections? Systematic Study of QKV Variants cites this paper.

Do Transformers Need Three Projections? Systematic Study of QKV Variants Movement Pruning: Adaptive Sparsity by Fine-Tuning

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:17.316951Z

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.