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Paper Citation Record · LEDGER

Single Shot Structured Pruning Before Training

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2007.00389.

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

pith.paper-citation-record.v1
2007.00389 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:01.663496Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:35:21.049527Z

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 d6e61c45-6249-4a18-95f7-59cb8fe9d5cf · inbound

Pruning-based Data Selection and Network Fusion for Efficient Deep Learning cites this paper.

Pruning-based Data Selection and Network Fusion for Efficient Deep Learning Single Shot Structured Pruning Before Training

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:38:01.663496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:01.663496Z digest=sha256:552578f578ec5e4c874e1ba150abc66a02d7d6d456a06b815d04289d21b4b5a8

Observation f83e619e-f58a-49d2-ac31-93a9219cec17 · inbound

Exploring Vision Neural Network Pruning via Screening Methodology cites this paper.

Exploring Vision Neural Network Pruning via Screening Methodology Single Shot Structured Pruning Before Training

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:35:21.052846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-23T03:33:15.015365Z digest=sha256:cb121515fd373fc05144d471838d6e201ad7f4a6424548c653918799aad70e0c

Observation 20bc47f6-f531-4ed1-941a-51dff889ea06 · inbound

LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation cites this paper.

LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation Single Shot Structured Pruning Before Training

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:06.042118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:06.042118Z digest=sha256:f801073c3a3eda8d311139b00850f360765de82815e24d46d43b3e215cf38595