Paper Citation Record · LEDGER

Cluster Specific Representation Learning

As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2412.03471.

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

pith.paper-citation-record.v1
2412.03471 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:26:48.784031Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

51 of 51 outbound references displayed

verified exact0
verified fuzzy45
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10b574db-7b68-44f5-b56c-fe095118549b · outbound

This paper cites Extract- ing and composing robust features with denoising autoencoders,.

Cluster Specific Representation Learning Extract- ing and composing robust features with denoising autoencoders,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.454909Z

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 983fb34a-d123-475d-85fe-4d3f7065aaeb · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,.

Cluster Specific Representation Learning Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.442202Z

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 7f950889-2d48-4cc9-9a66-a7805f8122fe · outbound

This paper cites Topology and data,.

Cluster Specific Representation Learning Topology and data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.428776Z

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 d10e230e-a1e7-4ec1-b9a1-86e3c66006b1 · outbound

This paper cites Topology-preserving deep image segmentation,.

Cluster Specific Representation Learning Topology-preserving deep image segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.413108Z

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 d043e84f-7f4f-4f30-81ab-d44e290e91d0 · outbound

This paper cites Nonlinear principal component analysis using autoas- sociative neural networks,.

Cluster Specific Representation Learning Nonlinear principal component analysis using autoas- sociative neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.398550Z

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 75e9e473-a6d1-49e9-9afb-7757ab64660a · outbound

This paper cites The interpretation of interaction in contingency tables,.

Cluster Specific Representation Learning The interpretation of interaction in contingency tables,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.386100Z

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 1bf28253-4e32-46f4-b0ee-a1f50e326088 · outbound

This paper cites Simpson’s paradox in real life,.

Cluster Specific Representation Learning Simpson’s paradox in real life,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.374273Z

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 e98af0e2-6b72-41cc-8680-6abc0a8d709d · outbound

This paper cites Potential simpson’s paradox in multicenter study of intraperitoneal chemotherapy for ovarian cancer,.

Cluster Specific Representation Learning Potential simpson’s paradox in multicenter study of intraperitoneal chemotherapy for ovarian cancer,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.363102Z

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 d01e752a-40ac-4de6-8b62-b133d28298b5 · outbound

This paper cites Im- proved representation learning through tensorized autoencoders,.

Cluster Specific Representation Learning Im- proved representation learning through tensorized autoencoders,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.351651Z

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 2a6e3d97-2eed-4f8b-88d9-46a83a950f5b · outbound

This paper cites Auto-Encoding Variational Bayes.

Cluster Specific Representation Learning Auto-Encoding Variational Bayes

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T22:26:48.617934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccd529ec-3d04-4978-a7ca-3046b2c3ebfa · outbound

This paper cites Information processing in dynamical systems: Foun- dations of harmony theory,.

Cluster Specific Representation Learning Information processing in dynamical systems: Foun- dations of harmony theory,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.341041Z

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 956ac862-0ea5-4594-b6bf-2fb800ceddfb · outbound

This paper cites K-means++: The advantages of careful seeding,.

Cluster Specific Representation Learning K-means++: The advantages of careful seeding,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.328701Z

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 05dabe4a-9fd7-4a53-9c9d-df423b9610ef · outbound

This paper cites Comparing partitions,.

Cluster Specific Representation Learning Comparing partitions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.315258Z

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 447b05d6-471b-41cc-a6c7-e3d160e3503f · outbound

This paper cites Reducing the dimensionality of data with neural networks,.

Cluster Specific Representation Learning Reducing the dimensionality of data with neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.303475Z

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 7786fd49-3e4d-476e-bab1-41aab4222e5d · outbound

This paper cites A review of image denoising algorithms, with a new one,.

Cluster Specific Representation Learning A review of image denoising algorithms, with a new one,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.290629Z

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 be15b2f7-df49-4166-886e-defcb3ff0871 · outbound

This paper cites Towards k- means-friendly spaces: Simultaneous deep learning and clustering,.

Cluster Specific Representation Learning Towards k- means-friendly spaces: Simultaneous deep learning and clustering,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.278060Z

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 efabe919-9731-4783-ba3f-1fe8c61d1c83 · outbound

This paper cites A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond.

Cluster Specific Representation Learning A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T22:26:48.647379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f00c38a-fffc-4daf-afd8-d5d8fe483afe · outbound

This paper cites Towards k- means-friendly spaces: Simultaneous deep learning and clustering,.

Cluster Specific Representation Learning Towards k- means-friendly spaces: Simultaneous deep learning and clustering,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.265129Z

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 a7359ff0-f172-45d4-80c0-5fabaaa2f550 · outbound

This paper cites Mnist handwritten digit database,.

Cluster Specific Representation Learning Mnist handwritten digit database,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.251184Z

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 20dbb68f-b85e-476a-9c58-7f42b0062c8b · outbound

This paper cites Ecological sexual di- morphism and environmental variability within a community of antarctic penguins (genus pygoscelis),.

Cluster Specific Representation Learning Ecological sexual di- morphism and environmental variability within a community of antarctic penguins (genus pygoscelis),

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.238090Z

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 fe19ce5f-db9e-4718-86e4-45d5265bd1c7 · outbound

This paper cites Tutorial on Variational Autoencoders.

Cluster Specific Representation Learning Tutorial on Variational Autoencoders

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:26:48.663184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3066c73f-32a8-4d17-8518-df1e10bc3a1b · outbound

This paper cites An introduction to variational autoencoders,.

Cluster Specific Representation Learning An introduction to variational autoencoders,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.224860Z

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 a051cbad-4925-47dd-a013-150d2b3bad47 · outbound

This paper cites Generating sentences from a continuous space,.

Cluster Specific Representation Learning Generating sentences from a continuous space,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.211360Z

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 e3b4a59b-bb23-49b7-a44d-a775c967f88a · outbound

This paper cites Variational autoencoder based anomaly detection using reconstruction probability,.

Cluster Specific Representation Learning Variational autoencoder based anomaly detection using reconstruction probability,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.198146Z

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 b66fe6e7-e3be-4c7f-b10a-c8e00e9caf6d · outbound

This paper cites Variational Lossy Autoencoder.

Cluster Specific Representation Learning Variational Lossy Autoencoder

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T22:26:48.679188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4961c2c4-aba3-4b64-b655-64470294bdec · outbound

This paper cites Signature verification using a.

Cluster Specific Representation Learning Signature verification using a

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.183770Z

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 dc0b8184-1d6b-4a09-80e0-92670d134ec2 · outbound

This paper cites Self-supervised representation learning: Introduction, advances, and challenges,.

Cluster Specific Representation Learning Self-supervised representation learning: Introduction, advances, and challenges,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.172267Z

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 e4de3d49-4ea0-4437-b8ad-9a1df7ceee32 · outbound

This paper cites Self-supervised learning: Generative or contrastive,.

Cluster Specific Representation Learning Self-supervised learning: Generative or contrastive,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.160073Z

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 4f094b5f-3e71-4b1b-ac23-016af3fb284c · outbound

This paper cites Warpnet: Weakly su- 10 pervised matching for single-view reconstruction,.

Cluster Specific Representation Learning Warpnet: Weakly su- 10 pervised matching for single-view reconstruction,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.148024Z

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 54385fdd-a597-4246-97c7-a4f1863f39a5 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Cluster Specific Representation Learning A simple framework for contrastive learning of visual representations,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.137137Z

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 3bfb6d5f-0a69-450e-8218-9b80f47516b0 · outbound

This paper cites Self-supervised visual feature learning with deep neural networks: A survey,.

Cluster Specific Representation Learning Self-supervised visual feature learning with deep neural networks: A survey,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.125848Z

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 49e85341-6fab-4351-bb71-3e7699442a86 · outbound

This paper cites Self-supervised learning of pretext- invariant representations,.

Cluster Specific Representation Learning Self-supervised learning of pretext- invariant representations,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.114298Z

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 bcb0a57c-568d-4c34-b89b-ae65f577fd4a · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding,.

Cluster Specific Representation Learning BERT: pre-training of deep bidirectional transformers for language understanding,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.102260Z

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 ce2a70f2-a93b-4cc3-8120-628e8436f2fd · outbound

This paper cites Self-supervised learning of geometrically stable features through probabilistic introspec- tion,.

Cluster Specific Representation Learning Self-supervised learning of geometrically stable features through probabilistic introspec- tion,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.090558Z

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 e5d58627-0af6-409b-a0fe-6e70ce4d2228 · outbound

This paper cites Unsupervised Representation Learning by Predicting Image Rotations.

Cluster Specific Representation Learning Unsupervised Representation Learning by Predicting Image Rotations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T22:26:48.721966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec6de70-e338-4158-929d-ef00a6819e01 · outbound

This paper cites A theoretical analysis of contrastive unsupervised representation learning,.

Cluster Specific Representation Learning A theoretical analysis of contrastive unsupervised representation learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.078648Z

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 6712aadf-c883-43f3-a3ed-3ce24d013fc9 · outbound

This paper cites Best practices for convolutional neural networks applied to visual document analysis,.

Cluster Specific Representation Learning Best practices for convolutional neural networks applied to visual document analysis,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.067216Z

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 ae422e78-f502-4d82-b475-97358ab67c11 · outbound

This paper cites Contrastive Learning with Hard Negative Samples.

Cluster Specific Representation Learning Contrastive Learning with Hard Negative Samples

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T22:26:48.735267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dac4782-876f-45b6-bfbb-bbf86d9cdb1f · outbound

This paper cites Supervised contrastive learn- ing,.

Cluster Specific Representation Learning Supervised contrastive learn- ing,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.056409Z

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 87d3c753-3043-42d9-9c34-6c7327494975 · outbound

This paper cites Supporting supervised contrastive learning via contrastive label disambiguation,.

Cluster Specific Representation Learning Supporting supervised contrastive learning via contrastive label disambiguation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.045329Z

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 bc9c7528-a89f-4cfb-a64d-a22b78c53cac · outbound

This paper cites Visualizing data using t-sne,.

Cluster Specific Representation Learning Visualizing data using t-sne,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.032484Z

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 43eabf17-64d3-4476-9469-300e5abc7fbc · outbound

This paper cites Near-optimal comparison based clustering,.

Cluster Specific Representation Learning Near-optimal comparison based clustering,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.021114Z

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 27428501-15f7-4155-9687-b6d2e54a357b · outbound

This paper cites Semi-supervised learning,.

Cluster Specific Representation Learning Semi-supervised learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:49.008822Z

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 81779354-e79a-4cee-961b-7a09dccba414 · outbound

This paper cites Deep adaptive image clustering,.

Cluster Specific Representation Learning Deep adaptive image clustering,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:48.995208Z

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 3ec06b5d-26b4-4ed5-8b82-a355b904b66b · outbound

This paper cites Fischer and C.

Cluster Specific Representation Learning Fischer and C

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:48.982705Z

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 0db14839-4307-4b96-9422-997d93e584ef · outbound

This paper cites Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines,.

Cluster Specific Representation Learning Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:48.966022Z

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 209c7669-8063-44cd-a65a-c3afdf999639 · outbound

This paper cites A fast learning algorithm for deep belief nets,.

Cluster Specific Representation Learning A fast learning algorithm for deep belief nets,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:48.951380Z

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 8298fe50-e82f-4702-b41c-21a7d0e2ac83 · outbound

This paper cites The role of occam’s razor in knowledge discovery,.

Cluster Specific Representation Learning The role of occam’s razor in knowledge discovery,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:48.937942Z

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 41a6ffa8-cd9f-47f4-80af-1f4497236c9d · outbound

This paper cites Vapnik, Statistical Learning Theory.

Cluster Specific Representation Learning Vapnik, Statistical Learning Theory

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:48.923034Z

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 1c82c2f7-4fbf-4398-98ab-4cab87f968b6 · outbound

This paper cites The use of multiple measurements in taxonomic prob- lems,.

Cluster Specific Representation Learning The use of multiple measurements in taxonomic prob- lems,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:48.909779Z

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 1aceab6c-a895-466f-a912-064f7f913da5 · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms,.

Cluster Specific Representation Learning Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:26:48.894604Z

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.