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Paper Citation Record · LEDGER

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.03533.

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

pith.paper-citation-record.v1
2010.03533 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:13.271860Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:20:16.730828Z

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 2c4f52e5-71e6-465e-a7bf-3064e9da51b5 · inbound

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling cites this paper.

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:44:13.271860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:44:13.271860Z digest=sha256:298170993733366947367ffb9265256cd8eb954a71e0390f537484812d6b85fb

Observation 68ce4b23-a87b-40a1-a18f-827ab80627da · inbound

Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies cites this paper.

Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:20:16.734940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T19:17:45.410227Z digest=sha256:fa089d86ede96acf0df4e1f0a1f28812ceacba5ee034e62c0509f3c4e208a60d