Paper Citation Record · LEDGER

Is Self-Pretraining really useful to improve diagnosis in medical Time Series?

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.06122.

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

pith.paper-citation-record.v1
2608.06122 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:38.542374Z

measured 32 of 32 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact3
verified fuzzy20
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84756198-f321-4955-8a0a-be2dfcada2f1 · outbound

This paper cites Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:38.377868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29b3d60-418d-4ecf-b720-065405a2d792 · outbound

This paper cites Towards Understanding Self-Pretraining for Sequence Classification.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Towards Understanding Self-Pretraining for Sequence Classification

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:34:38.704719Z

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.

Observation 96e853b6-46d5-4f9d-817b-3993e164e213 · outbound

This paper cites Self-supervised pre-training for time series classification,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Self-supervised pre-training for time series classification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:39.063603Z

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.

Observation 6d7c4932-b838-43ad-97de-273b357ab953 · outbound

This paper cites TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:38.395335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2de4de-a7bb-4074-bc4b-e908b3b3a333 · outbound

This paper cites Self-supervised contrastive pre-training for time series via time-frequency consistency,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Self-supervised contrastive pre-training for time series via time-frequency consistency,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:39.047999Z

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.

Observation 11fdb452-df82-4280-8ec3-148a89ee7600 · outbound

This paper cites Self-supervised learning for time series analysis: Taxonomy, progress, and prospects,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Self-supervised learning for time series analysis: Taxonomy, progress, and prospects,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:39.033401Z

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.

Observation eac6ed63-a0a0-4483-8483-ef774131dd46 · outbound

This paper cites Self-supervised contrastive learning for medical time series: A systematic review,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Self-supervised contrastive learning for medical time series: A systematic review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:39.018155Z

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.

Observation ccaa7181-8fc0-439c-a54c-b83b8f5cce5d · outbound

This paper cites A survey on time-series pre-trained models,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? A survey on time-series pre-trained models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:38.417979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2a49316-bf55-403c-b033-a7afbbd1e159 · outbound

This paper cites Multimodal pretraining of medical time series and notes,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Multimodal pretraining of medical time series and notes,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:38.422485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce97d72b-494b-405a-ba50-b61c8e5144a5 · outbound

This paper cites Contrastive pre-training for multimodal medical time series,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Contrastive pre-training for multimodal medical time series,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.982898Z

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.

Observation be831f0f-8213-4115-ba86-8236896e0503 · outbound

This paper cites Transehr: self-supervised transformer for clinical time series data,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Transehr: self-supervised transformer for clinical time series data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.967502Z

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.

Observation 79c563c3-6f28-4d28-a935-3c1949af2ffc · outbound

This paper cites Primenet: Pre-training for irregular multivariate time series,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Primenet: Pre-training for irregular multivariate time series,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.952408Z

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.

Observation 59f43e88-8643-4b86-a55b-148795b1f6e3 · outbound

This paper cites TimeNet: Pre-trained deep recurrent neural network for time series classification.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? TimeNet: Pre-trained deep recurrent neural network for time series classification

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:34:38.668271Z

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.

Observation 91330d63-e448-403b-9df3-054b93ae1853 · outbound

This paper cites Large pre-trained time series models for cross-domain time series analysis tasks,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Large pre-trained time series models for cross-domain time series analysis tasks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.937551Z

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.

Observation 6977acb0-5b2f-4703-8ac1-540f20cdd084 · outbound

This paper cites Simmtm: A simple pre-training framework for masked time-series modeling,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Simmtm: A simple pre-training framework for masked time-series modeling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.922519Z

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.

Observation 680a9a93-81c9-4448-b59d-e9b8396f26ad · outbound

This paper cites Unimts: Unified pre-training for motion time series,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Unimts: Unified pre-training for motion time series,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.907337Z

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.

Observation ab2a63ce-ae9f-4b7f-837f-a176cd86a8cc · outbound

This paper cites Self pre-training with masked autoencoders for medical image classification and segmentation,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Self pre-training with masked autoencoders for medical image classification and segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.891442Z

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.

Observation 02dcd5d8-3cb0-42ad-a353-8795a54f6323 · outbound

This paper cites Robust lane detection through self pre-training with masked sequential autoencoders and fine-tuning with customized polyloss,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Robust lane detection through self pre-training with masked sequential autoencoders and fine-tuning with customized polyloss,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.876160Z

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.

Observation 328ce232-2068-47e0-a6d1-d8a42c7e61ec · outbound

This paper cites Self pre-training with single-scale adapter for left atrial segmentation,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Self pre-training with single-scale adapter for left atrial segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.860179Z

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.

Observation facd2d68-dbb1-4890-9ed8-b0cedd031009 · outbound

This paper cites Self pre-training with adaptive mask autoencoders for variable-contrast 3d medical imaging,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Self pre-training with adaptive mask autoencoders for variable-contrast 3d medical imaging,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.839429Z

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.

Observation ea418050-bd69-47d1-a712-0f4d2a945fb5 · outbound

This paper cites Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:34:38.646244Z

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.

Observation 4c81d5b5-1e73-428e-941f-4a7c2c63a788 · outbound

This paper cites emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:38.489642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27cc5fc6-1e93-4881-94dd-6da4a943b41c · outbound

This paper cites Effectiveness of self-supervised pre-training for speech recognition.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Effectiveness of self-supervised pre-training for speech recognition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:38.493972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c3270d-3768-4f3c-a9f0-2b51280feeae · outbound

This paper cites Slip: Self-supervision meets language-image pre-training,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Slip: Self-supervision meets language-image pre-training,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.823416Z

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.

Observation 3cbd7dee-650e-40c8-a4bd-9ef216bbd040 · outbound

This paper cites Rethinking pre-training and self-training,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Rethinking pre-training and self-training,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.807597Z

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.

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

This paper cites A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks.

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.

Observation 065bcea7-6fdb-405c-82d2-ba0a1f4f4160 · outbound

This paper cites Are Large-scale Datasets Necessary for Self-Supervised Pre-training?.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Are Large-scale Datasets Necessary for Self-Supervised Pre-training?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:38.518026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aef5f3c7-99f0-4f4b-9c36-ce2d907cca35 · outbound

This paper cites A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.792431Z

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.

Observation fc11338b-dcfe-4886-a147-1d90ed00221c · outbound

This paper cites A non-eeg biosignals dataset for assessment and visualization of neurological status,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? A non-eeg biosignals dataset for assessment and visualization of neurological status,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.777589Z

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.

Observation a6c30663-7b5f-43a3-ba54-5c35f932fc8b · outbound

This paper cites Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:38.532872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac06f938-202f-4f45-b1c2-81577898acd7 · outbound

This paper cites A generalized wilcoxon test for comparing arbitrarily singly-censored samples,.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? A generalized wilcoxon test for comparing arbitrarily singly-censored samples,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.753134Z

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.

Observation 61f4ba1d-f495-4cbe-8b58-49c75a35abfa · outbound

This paper cites What is the bonferroni correction?.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? What is the bonferroni correction?

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.737079Z

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.

Pith citing papers

No inbound Pith citation observations are available.