Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:40:06.461037Z
Paper Citation Record · LEDGER
A Probabilistic Model for Non-Contrastive Learning
As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.13031.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
23 of 23 outbound references displayed
- verified exact2
- verified fuzzy15
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f3104766-8129-4c60-8e96-f3422c853a24 · outbound
This paper cites an unresolved cited work.
A Probabilistic Model for Non-Contrastive Learning Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T16:40:06.740836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 98beb359-437d-4118-a74a-3b3cc099186c · outbound
This paper cites a ckinger, and Roopak Shah. Signature verification using a.
A Probabilistic Model for Non-Contrastive Learning a ckinger, and Roopak Shah. Signature verification using a
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.729039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0eadf03a-9c1d-4a44-b9fa-f051d92e769b · outbound
This paper cites Self-supervised learning of pretext-invariant representations.
A Probabilistic Model for Non-Contrastive Learning Self-supervised learning of pretext-invariant representations
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.716972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3ce2c9df-eef3-4f53-b004-d79461dc380c · outbound
This paper cites Self-supervised video representation learning with odd-one-out networks.
A Probabilistic Model for Non-Contrastive Learning Self-supervised video representation learning with odd-one-out networks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.705175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 38776f6d-8e4b-4da5-9e21-2520520fd1f8 · outbound
This paper cites A simple framework for contrastive learning of visual representations.
A Probabilistic Model for Non-Contrastive Learning A simple framework for contrastive learning of visual representations
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.691913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5165243f-cdf2-46b7-b8d4-ae18b070395c · outbound
This paper cites wav2vec: Unsupervised pre-training for speech recognition, 2019.
A Probabilistic Model for Non-Contrastive Learning wav2vec: Unsupervised pre-training for speech recognition, 2019
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.681126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fc255b94-6f02-4476-85bc-95b330a9bb34 · outbound
This paper cites Representation learning: A review and new perspectives.
A Probabilistic Model for Non-Contrastive Learning Representation learning: A review and new perspectives
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.670820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 92d4b171-1d63-4eac-a32c-9c47fcce1971 · outbound
This paper cites an unresolved cited work.
A Probabilistic Model for Non-Contrastive Learning Unresolved cited work
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:40:06.399984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b305e58c-0d7c-4a42-8e72-da5c50763118 · outbound
This paper cites Probabilistic principal component analysis.
A Probabilistic Model for Non-Contrastive Learning Probabilistic principal component analysis
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:40:06.403777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50fca214-4426-41e2-b142-beaac0c29f06 · outbound
This paper cites Probabilistic non-linear principal component analysis with gaussian process latent variable models.
A Probabilistic Model for Non-Contrastive Learning Probabilistic non-linear principal component analysis with gaussian process latent variable models
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.646805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f6f74e65-8eb9-4650-b811-341f2fc0a33f · outbound
This paper cites Barlow twins: Self-supervised learning via redundancy reduction.
A Probabilistic Model for Non-Contrastive Learning Barlow twins: Self-supervised learning via redundancy reduction
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.635557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 77638919-30ba-49f3-920e-d9e31952f64c · outbound
This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.
A Probabilistic Model for Non-Contrastive Learning VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:40:06.414899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5908b507-92ca-4c7b-b85d-83f48d9f18f1 · outbound
This paper cites Toward understanding the feature learning process of self-supervised contrastive learning.
A Probabilistic Model for Non-Contrastive Learning Toward understanding the feature learning process of self-supervised contrastive learning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.625175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6fb38a49-011c-476d-bed7-2b0d05df14c6 · outbound
This paper cites Towards a unified theoretical understanding of non-contrastive learning via rank differential mechanism.
A Probabilistic Model for Non-Contrastive Learning Towards a unified theoretical understanding of non-contrastive learning via rank differential mechanism
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.614778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2866c0ee-f1b6-4946-96d2-b3f97fddc07b · outbound
This paper cites Contrasting the landscape of contrastive and non-contrastive learning.
A Probabilistic Model for Non-Contrastive Learning Contrasting the landscape of contrastive and non-contrastive learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:40:06.427588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa1a52ed-e632-4d8f-8d07-64b3c269e8ca · outbound
This paper cites Representation learning dynamics of self-supervised models.
A Probabilistic Model for Non-Contrastive Learning Representation learning dynamics of self-supervised models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.604337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ac57e284-2cd0-42e6-94c6-7e45e00281f3 · outbound
This paper cites A theoretical analysis of contrastive unsupervised representation learning.
A Probabilistic Model for Non-Contrastive Learning A theoretical analysis of contrastive unsupervised representation learning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.594289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 046b038e-76a4-4901-bac1-339bde7201ed · outbound
This paper cites Why do pretrained language models help in downstream tasks? an analysis of head and prompt tuning.
A Probabilistic Model for Non-Contrastive Learning Why do pretrained language models help in downstream tasks? an analysis of head and prompt tuning
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.584080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1da3a638-ecbf-423c-8955-82db0191dfa7 · outbound
This paper cites Bayesian Self-Supervised Contrastive Learning.
A Probabilistic Model for Non-Contrastive Learning Bayesian Self-Supervised Contrastive Learning
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T16:40:06.528089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a0285a73-da83-448e-b3f0-17a768c72d07 · outbound
This paper cites Probabilistic Self-supervised Learning via Scoring Rules Minimization.
A Probabilistic Model for Non-Contrastive Learning Probabilistic Self-supervised Learning via Scoring Rules Minimization
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T16:40:06.513461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1a63cdb7-f5e8-44c9-9f50-abd5423eb56f · outbound
This paper cites A Probabilistic Model Behind Self-Supervised Learning.
A Probabilistic Model for Non-Contrastive Learning A Probabilistic Model Behind Self-Supervised Learning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:40:06.452541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dda3a5b-7568-46b2-b9e9-0830bcbd962c · outbound
This paper cites Contrastive learning inverts the data generating process.
A Probabilistic Model for Non-Contrastive Learning Contrastive learning inverts the data generating process
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.574165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5eb60955-d88b-415f-b483-c0359b1f95ee · outbound
This paper cites Representation learning with contrastive predictive coding.
A Probabilistic Model for Non-Contrastive Learning Representation learning with contrastive predictive coding
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T16:40:06.563269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.