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Paper Citation Record · LEDGER

Structured Sparsity Inducing Adaptive Optimizers for Deep Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.03869.

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

pith.paper-citation-record.v1
2102.03869 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:35:46.128312Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T12:04:05.493700Z

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 0374493a-2575-4fe4-87de-41aea308133c · inbound

Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning cites this paper.

Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning Structured Sparsity Inducing Adaptive Optimizers for Deep Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:46.128312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:35:46.128312Z digest=sha256:ecca0654659f192f70fee67e9e29c4142d83dd11ee9a29c8079a4414dabb656e

Observation c2c7f986-8665-4cd8-807c-666d9a9ba400 · inbound

Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries cites this paper.

Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Structured Sparsity Inducing Adaptive Optimizers for Deep Learning

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:04:05.497834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T12:04:04.862733Z digest=sha256:01751ce044bd61cf6ddf7f244882c390cac9cba74d55ea8cc86dac4dbefeecf7