Paper Citation Record · LEDGER

Information Subtraction: Learning Representations for Conditional Entropy

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2501.02012.

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

pith.paper-citation-record.v1
2501.02012 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:05.978280Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

12 of 12 outbound references displayed

verified exact1
verified fuzzy1
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b809c4d-a0d3-4e60-b5b4-d9ca146f5626 · outbound

This paper cites Learning deep representations by mutual information estimation and maximization.

Information Subtraction: Learning Representations for Conditional Entropy Learning deep representations by mutual information estimation and maximization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.924825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f614457-bace-4d3a-afcf-0aad5d4f5021 · outbound

This paper cites Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding.

Information Subtraction: Learning Representations for Conditional Entropy Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.939042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea966d6-5edb-4b13-acb0-25a02ace5af8 · outbound

This paper cites Learning Temporally Causal Latent Processes from General Temporal Data.

Information Subtraction: Learning Representations for Conditional Entropy Learning Temporally Causal Latent Processes from General Temporal Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.964087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed3c0ba3-9b42-4b9b-b9b5-96db2f8d5f72 · outbound

This paper cites Learning bias-invariant representation by cross- sample mutual information minimization.

Information Subtraction: Learning Representations for Conditional Entropy Learning bias-invariant representation by cross- sample mutual information minimization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:06.251435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c5799e6-00dc-4abb-b6d0-35af46226ee8 · outbound

This paper cites Auto-Encoding Variational Bayes.

Information Subtraction: Learning Representations for Conditional Entropy Auto-Encoding Variational Bayes

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.932041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7daf160-d16d-46a6-a38c-cc73d0bfcc4b · outbound

This paper cites The Variational Fair Autoencoder.

Information Subtraction: Learning Representations for Conditional Entropy The Variational Fair Autoencoder

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.945074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a45da6e0-6575-4a43-bae0-31738abdd59a · outbound

This paper cites MINE: Mutual Information Neural Estimation.

Information Subtraction: Learning Representations for Conditional Entropy MINE: Mutual Information Neural Estimation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.919002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05c7dffd-307a-4039-8d58-7f74f853e6a7 · outbound

This paper cites Representation Learning for Sequence Data with Deep Autoencoding Predictive Components.

Information Subtraction: Learning Representations for Conditional Entropy Representation Learning for Sequence Data with Deep Autoencoding Predictive Components

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:38:06.232441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df3e1478-b494-415d-9815-0201655ce149 · outbound

This paper cites Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning.

Information Subtraction: Learning Representations for Conditional Entropy Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.951755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a85f64-1cd7-4465-899e-c4edbf7b4b51 · outbound

This paper cites Compressed Predictive Information Coding.

Information Subtraction: Learning Representations for Conditional Entropy Compressed Predictive Information Coding

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.958092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da67f5d-d746-4459-b1d2-d0b6cdd0313e · outbound

This paper cites Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.

Information Subtraction: Learning Representations for Conditional Entropy Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.971679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1626bfde-2ef7-455e-88e4-cc4d57213122 · outbound

This paper cites Adult. UCI machine learning repository (1996).

Information Subtraction: Learning Representations for Conditional Entropy Adult. UCI machine learning repository (1996)

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:05.913232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.