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Paper Citation Record · LEDGER

Movement Pruning: Adaptive Sparsity by Fine-Tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:53:24.535174Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T16:22:08.801066Z digest=sha256:add67eaecf393273ab604554de5bf68f6b955a8a9040561325b17b644b90347e

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.

source=pdf_text observed=2026-08-06T13:56:16.895359Z digest=sha256:a1575c105d42ad9135b57fb90ecba9a00162431b857ba433e637b41cc3e31f65

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.

source=pdf_text observed=2026-08-06T13:22:47.097104Z digest=sha256:db181fd5d9ba13b27b91e0a94706390b83d0111f0d2678eaffe60e1bd6cb668c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:47:38.100037Z digest=sha256:ec29e379e6fce46878a3d52578ae0059b834800eeced27019909ed457da215e3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T12:35:35.665508Z digest=sha256:2930f942c9784eb2b0fbe96611b823b3a59b8ffc5c15a6e8a21543dec321d27f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T15:14:49.475561Z digest=sha256:d7a15fbbe3d0e98ffaa784620ecd9737e9a7d972265669c652ab33a52eeb9cd7

Observation 5928049c-2f59-4a2f-9079-75ee789d1919 · inbound

LaPrune: Controllable Differentiable Sparsity at Million Scale cites this paper.

LaPrune: Controllable Differentiable Sparsity at Million Scale Movement Pruning: Adaptive Sparsity by Fine-Tuning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T00:53:24.535174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:53:24.535174Z digest=sha256:3754f3ef9fadf253dbf188ba19e5989c27ad23534f465f8f3e1c77ec0144ae0f