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Paper Citation Record · LEDGER

A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.00800.

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

pith.paper-citation-record.v1
2007.00800 v1

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 2026-08-07T14:34:38.508559Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:39:38.330393Z

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 b809ec6f-370a-4607-9f63-3cefb7f4be8d · inbound

Making deep neural networks work for medical audio: representation, compression and domain adaptation cites this paper.

Making deep neural networks work for medical audio: representation, compression and domain adaptation A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks

Reference 135

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:49.627060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:49.627060Z digest=sha256:a5d96be0045712f2bbf99eab259d64e909d4f50d0a12a33a139d18e2bf5982fb

Observation 7e03796c-7d1a-4068-aab9-0c016c8ea161 · inbound

CaTE Data Curation for Trustworthy AI cites this paper.

CaTE Data Curation for Trustworthy AI A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-05T18:23:28.209477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:23:28.209477Z digest=sha256:af5f17196ff7f390b8969de562bc205cdc92985494fa75704c8d59ee43879df7

Observation ea00b71b-441e-43af-9a1e-aa5229a1e0fb · inbound

Towards Imputation of Pre-Trained Language Model Metadata using Semantic Fingerprinting cites this paper.

Towards Imputation of Pre-Trained Language Model Metadata using Semantic Fingerprinting A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:39:38.332181Z

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=2026-06-26T13:19:54.321133Z digest=sha256:68ade386ee9de7c26bc168317d2a58b1ce7b43bd14b7f787e354fb20e680d944

Observation 95309a96-21f4-45a1-9b7d-c76a1ab87abb · inbound

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? cites this paper.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:38.508559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:38.508559Z digest=sha256:bb45a4bf8807288c0144f3e3040a9c4ccdaf90612da36e9c15c3b64f9a403f88