Paper Citation Record · LEDGER

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2102.01386.

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

pith.paper-citation-record.v1
2102.01386 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:22:58.179834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:56.236738Z

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 20152ae6-72ac-4450-b036-1a915d047299 · inbound

Parameter-Efficient Fine-Tuning for Foundation Models cites this paper.

Parameter-Efficient Fine-Tuning for Foundation Models AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T15:38:03.016975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 011d898f-4d48-41a3-81c3-961a37d00674 · inbound

ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks cites this paper.

ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:58.179834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c55d5bd8-a517-4dce-89be-1d36f84fe507 · inbound

Energy-Aware Deep Learning on Resource-Constrained Hardware cites this paper.

Energy-Aware Deep Learning on Resource-Constrained Hardware AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:09.023596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf59379f-de74-4ea4-9f67-205ba03678da · 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 AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T18:11:08.387528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9bf500-4583-4f98-86b1-f92f93feae27 · inbound

An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures cites this paper.

An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T05:27:54.167400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef21be63-7fc5-4326-bbbd-1310471d1e61 · inbound

Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates cites this paper.

Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:48:50.462492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 874ce803-a8a8-4fdb-9462-308c926e066f · inbound

MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization cites this paper.

MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:56.238226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.