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Paper Citation Record · LEDGER

Understanding Self-supervised Learning with Dual Deep Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.00578.

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

pith.paper-citation-record.v1
2010.00578 v6

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:09:39.997759Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:51:50.222210Z

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 6862c42b-0b43-458a-a80e-3c235f6692c5 · inbound

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection cites this paper.

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Understanding Self-supervised Learning with Dual Deep Networks

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:51:50.224917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T23:51:50.163520Z digest=sha256:bfb37dfce4823d4b092de21aa29b1c17d8c37fc3e1e3257b1254ded8999ebf39

Observation 57b73f2a-07ab-40a3-a768-df78700b55ce · inbound

CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge cites this paper.

CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge Understanding Self-supervised Learning with Dual Deep Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T13:09:39.997759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:09:39.997759Z digest=sha256:eaae0dae406cece7d9c5f52e32d8c000a51694611a6718fe12a319b350bd5bd7