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Paper Citation Record · LEDGER

FreezeOut: Accelerate Training by Progressively Freezing Layers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1706.04983.

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

pith.paper-citation-record.v1
1706.04983 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 2026-08-08T11:44:26.187901Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:11:10.803191Z

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 cf36a89b-bd8f-4e9c-b60f-882f457ad468 · inbound

PFedDST: Personalized Federated Learning with Decentralized Selection Training cites this paper.

PFedDST: Personalized Federated Learning with Decentralized Selection Training FreezeOut: Accelerate Training by Progressively Freezing Layers

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T11:44:26.187901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:44:26.187901Z digest=sha256:fa56edbfaa0dc22f861e2c7e7e50515ecafe1917530b0bd93e7ff8ab740c89ad

Observation aa7f1628-683d-4f2a-8900-34a66b7513cf · inbound

MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs cites this paper.

MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs FreezeOut: Accelerate Training by Progressively Freezing Layers

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:11:10.823484Z

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=2026-08-05T18:11:08.695617Z digest=sha256:7e4360fdc17f7a7b169e6be475ae23d79f1be380c99f9c7dd8c35d68a24af5ef