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Paper Citation Record · LEDGER

Supermasks in Superposition

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.14769.

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

pith.paper-citation-record.v1
2006.14769 v3

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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:37:46.286222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:16:51.374156Z

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 ef2b889a-8d27-4863-879e-5cc029079e2e · inbound

TinySubNets: An efficient and low capacity continual learning strategy cites this paper.

TinySubNets: An efficient and low capacity continual learning strategy Supermasks in Superposition

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T15:37:46.286222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:37:46.286222Z digest=sha256:b639d106e37c013ed9c6d98c0ed76eadc413ffeb3c6a9f2f6793f1f13d1ae7ae

Observation 41d4cfb0-7034-4d25-91fd-259b538edd32 · inbound

The impact of allocation strategies in subset learning on the expressive power of neural networks cites this paper.

The impact of allocation strategies in subset learning on the expressive power of neural networks Supermasks in Superposition

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:46.101237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:46.101237Z digest=sha256:568a83d6a0b82e9922a46a45eedad68c91c85f3b54ab7308e2789420ba9a1afd

Observation 618b9862-527a-4233-b777-76afde0c55f6 · inbound

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding cites this paper.

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding Supermasks in Superposition

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:16:51.377140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T21:13:41.362773Z digest=sha256:64d30717ccd56943ed7483f01514b4e4c1e6bab59ed23fdacc41f69517e36a2f