Paper Citation Record · LEDGER

A Closer Look at Memorization in Deep Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1706.05394.

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

pith.paper-citation-record.v1
1706.05394 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:19.487427Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T20:05:04.815690Z

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 0b910b74-f595-47d0-b863-618dd021800a · inbound

An overview of condensation phenomenon in deep learning cites this paper.

An overview of condensation phenomenon in deep learning A Closer Look at Memorization in Deep Networks

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-22T20:05:04.817592Z

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.

Observation 7c05c26e-f857-4227-a410-ae062ad8f1bb · inbound

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement cites this paper.

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement A Closer Look at Memorization in Deep Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:19.487427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66fa10fa-da2a-4a6a-afb4-abd1c9eb7f2f · inbound

How much do language models memorize? cites this paper.

How much do language models memorize? A Closer Look at Memorization in Deep Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:35.927259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d76cbb8c-d03f-4d7c-9570-21605a0d12f2 · inbound

Feature learning is decoupled from generalization in high capacity neural networks cites this paper.

Feature learning is decoupled from generalization in high capacity neural networks A Closer Look at Memorization in Deep Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:17:37.028075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.