Paper Citation Record · LEDGER

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation

As of 12 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2501.01649.

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

pith.paper-citation-record.v1
2501.01649 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:28:24.162657Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

36 of 36 outbound references displayed

verified exact12
verified fuzzy3
unresolved19
parse uncertain0
malformed identifier1
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External citation measurements

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Outbound references

Observation f8ca68e3-5010-406c-844f-102d48f77a8c · outbound

This paper cites Ahmadzadeh, B.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Ahmadzadeh, B

Reference 1

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Observation 4b449a39-602d-443b-9fe5-61114ecc72bf · outbound

This paper cites EskandariNasab, S.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation EskandariNasab, S

Reference 2

Resolution: verified exact; doi, observed 2026-08-10T22:28:24.672607Z

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Observation 7483528d-ebb0-49a5-842e-6247563d33d8 · outbound

This paper cites Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:28:25.475395Z

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Observation e2590c49-3a1a-414d-b43a-4c508d14578a · outbound

This paper cites EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:28:25.457896Z

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Observation 1e12392e-a082-49d9-802a-a628db7dd562 · outbound

This paper cites Abouelmehdi, A.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Abouelmehdi, A

Reference 5

Resolution: verified exact; doi, observed 2026-08-10T22:28:24.659600Z

Source-reported events for the cited work

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Observation b155420c-7321-434e-8242-480a34383795 · outbound

This paper cites an unresolved cited work.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Unresolved cited work

Reference 6

Resolution: verified exact; doi, observed 2026-08-10T22:28:24.645601Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed6a624d-5cec-4160-9c09-6f52448ea9ea · outbound

This paper cites Chapagain, Y.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Chapagain, Y

Reference 7

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Observation 48ac5569-d989-4241-83f0-dca82b48849d · outbound

This paper cites Vincent, S.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Vincent, S

Reference 8

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Observation bf42f46d-a837-433b-bc7c-383dcb2179f1 · outbound

This paper cites Miko lajczyk and M.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Miko lajczyk and M

Reference 9

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Source-reported events for the cited work

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Observation 8bf1de1b-c01b-47e5-b5b3-57942c526607 · outbound

This paper cites an unresolved cited work.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Unresolved cited work

Reference 10

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Observation 0c2a97b7-b580-49c2-9bf0-85870aed36fa · outbound

This paper cites Voulodimos, N.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Voulodimos, N

Reference 11

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Observation 48cabd8b-043a-405c-b3a7-ac66b2305dce · outbound

This paper cites Mehrad, E.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Mehrad, E

Reference 12

Resolution: verified exact; doi, observed 2026-08-10T22:28:24.502828Z

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Observation aad6462b-df6b-4104-86c1-c173bad4b846 · outbound

This paper cites an unresolved cited work.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Unresolved cited work

Reference 13

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Observation aa5ce634-52a4-4660-801b-15dd45177098 · outbound

This paper cites Bahri, P.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Bahri, P

Reference 14

Resolution: verified exact; doi, observed 2026-08-10T22:28:24.413936Z

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Observation c247a8e4-29e5-4afa-abad-13b282e29f00 · outbound

This paper cites Alshammari, S.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Alshammari, S

Reference 15

Resolution: verified exact; doi, observed 2026-08-10T22:28:24.400458Z

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Observation e3350d6c-e580-4349-a1a6-5ad0744fc988 · outbound

This paper cites EskandariNasab, Z.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation EskandariNasab, Z

Reference 16

Resolution: verified exact; doi, observed 2026-08-10T22:28:24.315443Z

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Observation 8c38b8f1-5665-431c-b1f3-4803d813575a · outbound

This paper cites Bengio, O.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Bengio, O

Reference 17

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Source-reported events for the cited work

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Observation 36f48cd8-cc46-4c36-972c-53f762e94bab · outbound

This paper cites An Actor-Critic Algorithm for Sequence Prediction.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation An Actor-Critic Algorithm for Sequence Prediction

Reference 19

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Observation c588ef85-c8ff-4d93-b350-70b127ea933c · outbound

This paper cites Generative Adversarial Networks.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Generative Adversarial Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:28:23.708534Z

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Observation 9a866bf7-6929-4a29-a78d-a7b0df4c2977 · outbound

This paper cites C-RNN-GAN: Continuous recurrent neural networks with adversarial training.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation C-RNN-GAN: Continuous recurrent neural networks with adversarial training

Reference 21

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Observation b18743a2-2f8c-44ab-8458-dff5738c05ab · outbound

This paper cites Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Reference 22

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Observation 17b96648-1332-47c7-92e4-ef5900bc61d4 · outbound

This paper cites Adversarial Autoencoders.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Adversarial Autoencoders

Reference 23

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Observation 1ecde15c-ef59-4b1d-a8e9-0747defb6f5c · outbound

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AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Unresolved cited work

Reference 24

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Observation 7bfda07a-d9bb-470e-94fd-fc078f6061ff · outbound

This paper cites Ganin, E.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Ganin, E

Reference 25

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Observation 83680d76-77dc-4cbf-81f7-b6246ffb2b59 · outbound

This paper cites Professor Forcing: A New Algorithm for Training Recurrent Networks.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Professor Forcing: A New Algorithm for Training Recurrent Networks

Reference 26

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Observation 476db8b1-2e9f-44d4-80ca-702d2b8c198d · outbound

This paper cites SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning

Reference 28

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Observation badb84ec-6ca9-4b7f-aced-4de8bc64ce13 · outbound

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AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Unresolved cited work

Reference 29

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Observation 239c85b5-68f9-4217-9f4b-aaf7633dc5e5 · outbound

This paper cites Auto-Encoding Variational Bayes.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Auto-Encoding Variational Bayes

Reference 30

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Observation 534a6b5d-120e-49b8-bef9-1642228e8676 · outbound

This paper cites Creswell and A.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Creswell and A

Reference 31

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Observation 23dfc321-6833-4781-b55d-e59c911cd3ed · outbound

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AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Unresolved cited work

Reference 32

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Observation 2835150d-18d9-44e5-96e1-3acb7b64ef70 · outbound

This paper cites Notes on Kullback-Leibler Divergence and Likelihood.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Notes on Kullback-Leibler Divergence and Likelihood

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:28:23.966359Z

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Observation f0da09d3-aa5c-4b05-ab69-079454e975ab · outbound

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AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Unresolved cited work

Reference 34

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Observation d729407e-3179-49fe-be74-bfd486a822aa · outbound

This paper cites A note on the evaluation of generative models.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation A note on the evaluation of generative models

Reference 35

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Observation 47ae552e-99f8-41a7-952d-592b39dc1b7d · outbound

This paper cites On the Quantitative Analysis of Decoder-Based Generative Models.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation On the Quantitative Analysis of Decoder-Based Generative Models

Reference 36

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5f60a14-0acd-449c-ae77-0722202b73c2 · outbound

This paper cites van der Maaten and G.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation van der Maaten and G

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:25.595414Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 11783c1e-90f0-4072-9d21-faf96f0dd97a · outbound

This paper cites an unresolved cited work.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:28:25.489176Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.