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Paper Citation Record · LEDGER

Streamlining Tensor and Network Pruning in PyTorch

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2004.13770.

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

pith.paper-citation-record.v1
2004.13770 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:28.448838Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

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 beb26f6a-b537-42ac-8555-90c3c026dc6e · inbound

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry cites this paper.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Streamlining Tensor and Network Pruning in PyTorch

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:17:28.527552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:17:28.448838Z digest=sha256:b261b85bd744c8a4bc4e832cd472aae41daf01c70349fbc4af13f08b4368c06a