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Paper Citation Record · LEDGER

L-GTA: Latent Generative Modeling for Time Series Augmentation

As of 14 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2507.23615.

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

pith.paper-citation-record.v1
2507.23615 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:37:48.605358Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:14:04.685498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:15:26.708931Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fda288d-d7e4-416f-915e-5ad93ed7f7c7 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-06T10:37:48.680923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8d2ecd5c-5f65-4d8d-8e73-bed4f2536cb1 · outbound

This paper cites Hyndman, and José M.

L-GTA: Latent Generative Modeling for Time Series Augmentation Hyndman, and José M

Reference 2

Resolution
malformed identifier
no resolver link, observed 2026-08-06T10:37:48.555393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:37:48.555393Z digest=sha256:ccf17dc75fad8f031434bf1f01f7c9674f2ad9c7bd051095c02b8d849e7a5d51

Observation f7521551-3672-44b3-bde4-1aa70b9266d4 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 3

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T10:37:48.862821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1cb33a47-66dd-4d50-82d9-3388e27d2834 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:37:48.909572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:37:48.560396Z digest=sha256:22fc313bf1b43b51442b912e29a16ef0efaeeb40840a5d526a3bcf93e90e8de0

Observation 8152a622-cb0d-4eb7-8deb-1c8525b1ec4a · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 5

Resolution
verified exact
doi, observed 2026-08-06T10:37:48.670155Z

Source-reported events for the cited work

correction dated 2021-07-20. Source: crossref record 10.1007/s11831-021-09630-6->10.1007/s11831-021-09616-4:correction, observed 2026-07-11T03:08:14.23665+00:00. This notice travels one citation hop only.

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Observation b8c50fd2-3190-45d8-993f-6df8faf21bc5 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:37:48.903150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e19e0392-37e9-42eb-bd12-2f031175b92e · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 7

Resolution
verified exact
raw_fallback, observed 2026-08-06T10:37:48.808876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:37:48.568279Z digest=sha256:7589ddf47c38b5048257c714d96e84906118759e3b8ad4b88fc0bdd3d09d02a7

Observation 640a39d5-6d68-4cde-9bc8-4f9daee02fd5 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T10:37:48.570650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:37:48.570650Z digest=sha256:9e8e13cae396550465314f77db745528326f3b1cd0d11690cc5b7c49f3b1d639

Observation 64ffac3f-f977-4571-8ac4-67cb0863f5e9 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T10:37:48.572827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:37:48.572827Z digest=sha256:fb2f5b44f31cdbf8d7ee63d509a62a8c451884d8a3c91df580fc2319ea6f0071

Observation 9d0bcf02-48e3-4bf0-b31a-7d3edcc3a4d2 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:37:48.896696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:37:48.575143Z digest=sha256:032c2b50fe3fbaea12185e071ff8ce39c19d1fd56a759c9b2a9d9edab854aa4a

Observation 1bd8e2fc-8527-4a42-a992-fba68ede99f6 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T10:37:48.577292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:37:48.577292Z digest=sha256:f5a4f1b2a761975e1a864ad2bf5e75979c52876046120ef73d1da22b65df79a0

Observation b61e4243-e9b4-4b8b-8fcc-4c8a5ae2f7d0 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 12

Resolution
verified exact
doi, observed 2026-08-06T10:37:48.651079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:37:48.579851Z digest=sha256:270420385acaa0992e5cc7f2df584d25512d02748d6eca5eca88c1a2d4e0d6ba

Observation 3cbb20fb-fa93-41f8-bcdc-4390ccddc878 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 13

Resolution
verified exact
doi, observed 2026-08-06T10:37:48.644009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:37:48.582598Z digest=sha256:ae3a00ba5fc4fc8fd955a1dd08302954733e5341c74b583612d2cb885ecf6d30

Observation 02829a16-0435-4b3a-92ee-6c5ced395125 · outbound

This paper cites Auto-Encoding Variational Bayes.

L-GTA: Latent Generative Modeling for Time Series Augmentation Auto-Encoding Variational Bayes

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T10:37:48.584746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:37:48.584746Z digest=sha256:cda3e3e26436a0e1b34ebd4245bcf2d108457d3a96b31c3fdcf91ab291bc6779

Observation 500c6eed-7118-4c7c-9e5e-4d2984e7f5c8 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:37:48.889937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 66f1179f-f4e2-492a-b3f0-3f1d28fc6a8f · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T10:37:48.589929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:37:48.589929Z digest=sha256:2a001bab77d9adcd1d501054d8a56466e843e731e9288aeb9a554807a0d5b12c

Observation 06337363-340a-4958-bd13-9198ff5139fe · outbound

This paper cites Sig-Wasserstein GANs for Time Series Generation.

L-GTA: Latent Generative Modeling for Time Series Augmentation Sig-Wasserstein GANs for Time Series Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T10:37:48.592105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:37:48.592105Z digest=sha256:7a9ff959239e916e9cf6287ddc05a763aeada85be33727bd97fee251893a7e6c

Observation addc17ad-a9a6-49bf-aa95-31d99fbe5cb5 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T10:37:48.594493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:37:48.594493Z digest=sha256:3fba992fa6138c463c300cb82d3db41d768f9d47d70b958ef7ee230a10e4fad4

Observation d693748d-9dde-4060-8e94-9468e68fa241 · outbound

This paper cites Rashid and Joseph Louis.

L-GTA: Latent Generative Modeling for Time Series Augmentation Rashid and Joseph Louis

Reference 19

Resolution
verified exact
doi, observed 2026-08-06T10:37:48.632074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 995bd2dc-cd1b-4120-b124-bea88335766b · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:37:48.883184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 51334b81-0534-4185-ae54-ea1209e76e6b · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T10:37:48.600989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:37:48.600989Z digest=sha256:9020705a1e9297092bf3a57e04996b06475b5a71d14247ea18e2dc30f90f9409

Observation 377c0060-43f9-47f0-b063-369c28a71141 · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:37:48.876567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:37:48.603293Z digest=sha256:8239641838acc1166e72e482cd5cf1606fd0a96fea49844bc74176bbcdfef368

Observation 620106a5-b90f-4769-b794-f782e5c84c7e · outbound

This paper cites an unresolved cited work.

L-GTA: Latent Generative Modeling for Time Series Augmentation Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:37:48.869733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:37:48.605358Z digest=sha256:a777c173ad0329f4a9bcc3ef40a3a3c03053885b41b2019660e8b3b4db34d6e4

Pith citing papers

Observation 9e27102f-fa71-4147-b86a-22924c40de71 · inbound

ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection cites this paper.

ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection L-GTA: Latent Generative Modeling for Time Series Augmentation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-09T01:19:36.960051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T13:14:04.685498Z digest=sha256:f70fd0b9fbc510c2d78ad69fd97b4f34ebe3a05a8f914b17f18b47cbaa014454