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Paper Citation Record · LEDGER

Adversarial Autoencoders

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:1511.05644.

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

pith.paper-citation-record.v1
1511.05644 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T01:02:12.345562Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T08:19:44.786891Z

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 ac426523-4447-4961-a019-ddb51fae8970 · inbound

Disentangling Influence: Using Disentangled Representations to Audit Model Predictions cites this paper.

Disentangling Influence: Using Disentangled Representations to Audit Model Predictions Adversarial Autoencoders

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-25T19:46:10.388664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T19:44:09.919663Z digest=sha256:ddf1c01c5be01e2b053a2436d16d1be7413f9d60942c9a86226b9161a4b3b3ca

Observation 152bfb91-57c5-4ba7-aacf-f12bae0b4d7d · inbound

Understanding Deep Learning Techniques for Image Segmentation cites this paper.

Understanding Deep Learning Techniques for Image Segmentation Adversarial Autoencoders

Reference 136

Resolution
verified exact
local_arxiv, observed 2026-05-24T21:46:24.429610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T21:46:17.736097Z digest=sha256:b3d7bf7b7cf7a525d4bc9985b7a78a82b0348c503af0b41943660e5f5c29c09e

Observation 85d57104-cd53-4f79-bae1-af9edd38003e · inbound

Autoencoding sensory substitution cites this paper.

Autoencoding sensory substitution Adversarial Autoencoders

Reference 200

Resolution
verified exact
local_arxiv, observed 2026-05-24T21:24:57.717304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T21:24:11.898508Z digest=sha256:6b46c24ab6e4b3a648b8e455939ff80cace649801f6f8bb588a285e78bc9c201

Observation 85169191-7871-4987-a546-93428594bc76 · inbound

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data cites this paper.

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data Adversarial Autoencoders

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-24T22:55:02.996133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T22:50:15.989553Z digest=sha256:58e94e961949d17719efd387801dc3f1f68e8d5cdb1ccb5088f557221ed2be67

Observation 524cf16e-6cdb-492f-a700-5e1af0c32e24 · inbound

Y-Autoencoders: disentangling latent representations via sequential-encoding cites this paper.

Y-Autoencoders: disentangling latent representations via sequential-encoding Adversarial Autoencoders

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-24T16:14:40.291159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T16:14:37.956137Z digest=sha256:045e684a23221acb2855aaad6319286fac9a06cf44db0fa2200a16d4d66618bd

Observation 5b5818ed-6b74-4cde-9d98-ad527fcd2ba2 · inbound

Language Models as Knowledge Bases? cites this paper.

Language Models as Knowledge Bases? Adversarial Autoencoders

Reference 282

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T10:51:45.829149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-16T10:51:45.447733Z digest=sha256:75a2e247b0da91eed24be45d7cacd9d6d9b6837d6c7047ae6bdf75a5ded90b0f

Observation 90d5391e-a73b-4155-8761-4788775bf852 · inbound

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework cites this paper.

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework Adversarial Autoencoders

Reference 232

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:43:18.921627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-11T03:43:18.632292Z digest=sha256:9b9ff6b642ee00177088ce21b21e5ac8ba5b17886546754a0d0d87f32c8b2c0d

Observation 9fec9f28-4081-447b-8bd8-d9727cfdab4f · inbound

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models cites this paper.

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Adversarial Autoencoders

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-25T09:05:35.903211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-25T09:03:31.136506Z digest=sha256:15f3aca4c06f5bf9772eab5a358283cc0b94f1f266fefa70b74f88ad8b20c90d

Observation 61237ecd-223b-41fb-aa84-4a577d3639a4 · inbound

Approximately Equivariant Recurrent Generative Models for Quasi-Periodic Time Series with a Progressive Training Scheme cites this paper.

Approximately Equivariant Recurrent Generative Models for Quasi-Periodic Time Series with a Progressive Training Scheme Adversarial Autoencoders

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T16:24:59.596802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T16:21:59.840352Z digest=sha256:19b71a2ec73bcc037c6dee8206ebd3db4a04f2c6b448d1c0d35cba5850ac361f

Observation 765c610d-6384-4e39-88f3-ec9bf127df0f · inbound

Wasserstein normalized autoencoder for anomaly detection cites this paper.

Wasserstein normalized autoencoder for anomaly detection Adversarial Autoencoders

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T12:47:52.924169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:47:52.924169Z digest=sha256:f1434a95909ffcd97de7f8a63b4a907b1f1b010dd109252a7b66ad82f934f294

Observation b2c80c19-5586-4d96-aa8b-44d3c010d967 · inbound

A Factorized Low-Rank RNN Framework for Uncovering Independent Neural Latent Dynamics and Connectivity cites this paper.

A Factorized Low-Rank RNN Framework for Uncovering Independent Neural Latent Dynamics and Connectivity Adversarial Autoencoders

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T21:47:40.816368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:47:40.816368Z digest=sha256:0b136d664b5aa027539aa38088e9de0f0ec5b90df027e4df08d07f820b0f33d1

Observation 5d1491f0-bcc5-4066-8c67-25d7b0c6d2a6 · inbound

Distribution Matching Variational AutoEncoder cites this paper.

Distribution Matching Variational AutoEncoder Adversarial Autoencoders

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T17:55:07.421315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:55:07.421315Z digest=sha256:76a3b0d0c69f3006a66fa0835d2a333da7268e2fd21e395fdc91786bdb756ac7

Observation 5994ad12-8c74-4379-97f1-115882396cb0 · inbound

Searching for Quantum Effects in the Brain: A Bell-Type Test for Nonclassical Latent Representations in Autoencoders cites this paper.

Searching for Quantum Effects in the Brain: A Bell-Type Test for Nonclassical Latent Representations in Autoencoders Adversarial Autoencoders

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T06:26:04.450667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:26:04.450667Z digest=sha256:039edd0c9732a120d3ef14ea36b0d100ab72ef4508c51234d0892d539484f1f7

Observation 162425e3-35c2-4f56-ad43-1a6e3be113bf · inbound

Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach cites this paper.

Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach Adversarial Autoencoders

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T20:48:36.647152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:48:36.647152Z digest=sha256:bc7d1a4211d0b6d3229da97edf05d8418249c113e293c2b2f608621735edf712

Observation a20b9a1d-c2e7-493c-b414-b1993d839a9c · inbound

Component-Based Out-of-Distribution Detection cites this paper.

Component-Based Out-of-Distribution Detection Adversarial Autoencoders

Reference 106

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T22:54:16.126935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-09T22:54:05.971460Z digest=sha256:bb687e69884eaf243c4e3011ec7cd727e1a53a0125862336d23e3d68a2d3579d

Observation 07f80376-0e09-410a-9c07-db821d00961e · inbound

Mechanisms of Misgeneralization in Physical Sequence Modeling cites this paper.

Mechanisms of Misgeneralization in Physical Sequence Modeling Adversarial Autoencoders

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-21T07:44:48.687947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-21T07:44:37.810511Z digest=sha256:7dd942977584995fff1dbde815bbf755349ad2bf2a372e8043de977175fab48e

Observation 436196b4-9f41-4584-b191-c04b5047a1b0 · inbound

A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation cites this paper.

A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation Adversarial Autoencoders

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:43:58.736296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T05:42:48.667216Z digest=sha256:832eeeb67e890006dab4e5e06caf47a6f76bfa8647d655537264b806c6f8aa2b

Observation 0aba5ddc-6f65-4f0c-9614-fb7c590887ef · inbound

Single-Cell Cross-Modal Transfer by Adversarial Fine-Tuning of Foundation Models cites this paper.

Single-Cell Cross-Modal Transfer by Adversarial Fine-Tuning of Foundation Models Adversarial Autoencoders

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T16:47:10.024954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T22:22:18.591772Z digest=sha256:52036f79826eb7a5210b0afdd8d240703239cd46259f7c42fa7371d1a9ed2f70

Observation d190eff6-7317-44bb-8c2b-76a87bf02c75 · inbound

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language cites this paper.

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language Adversarial Autoencoders

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-07-04T08:19:44.788061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T11:46:33.957076Z digest=sha256:439004a7476afabafc8b9457c9eee37b2dafddc940256a4a3ba7ba364565d274

Observation 6581facb-727e-4218-8771-ac55487bcc5f · inbound

eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions cites this paper.

eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions Adversarial Autoencoders

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-03T21:48:58.975094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T21:42:50.074527Z digest=sha256:be7ae72b8a11f646d4009d32d22b567def909570f6993c01b3fa1a92915b7480

Observation 8191ac9b-6016-4944-a496-e9f4d2c62013 · inbound

$\mathbf{\lambda}$-VAE: Variance Equalization for Posterior Collapse cites this paper.

$\mathbf{\lambda}$-VAE: Variance Equalization for Posterior Collapse Adversarial Autoencoders

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-11T06:15:32.320107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T06:15:32.320107Z digest=sha256:5bf0000202d9fdac6824eb7df70c121f3900d90e0e9200ef4214bb0d8b0ac867

Observation 8c28e71c-00bc-4fa4-83ee-5ffb32327ecf · inbound

Reconstruction-Shift Discrimination via Mask-Guided Latent Diffusion for Medical Anomaly Detection cites this paper.

Reconstruction-Shift Discrimination via Mask-Guided Latent Diffusion for Medical Anomaly Detection Adversarial Autoencoders

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T01:02:12.345562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T01:02:12.345562Z digest=sha256:538210920ad6c75b4a872e478224c44cc1d98fcccc72142d58deefd60f8f75e9