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Paper Citation Record · LEDGER

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1908.08180.

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

pith.paper-citation-record.v1
1908.08180 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:51:01.822845Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e946b35d-e449-4ffa-b74f-ef179d0fb673 · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.190854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7f185610-1242-45a4-b4d6-f6285b583826 · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.179607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8b8efe6a-330f-45b2-84e7-d918a3fc424d · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.168900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b70fdd23-d7d1-4174-9e5a-5d503baa35a3 · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.156952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.721818Z digest=sha256:1ee90e770520dc9cb04c743fbc255c21605470828d4b8aea75e11b5dc6706e0d

Observation 5f59394f-6065-4c3a-b4dc-f8cf23778d4d · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.144837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.725921Z digest=sha256:d259a7fa66ba163e2b35d7caac949e8ac58e3dc132a48527a0a0180666781563

Observation a14087d0-7a91-4b97-a624-f2aafd839179 · outbound

This paper cites [Online].

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach [Online]

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:02.133557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.729959Z digest=sha256:7ab9fe36ead245f55ae94db01f9f03ce0f481d1377aeabd4ebdf3d88acd2ee13

Observation 913ceb5c-e2ff-4965-80a7-98253ef4c1b4 · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.122985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.733900Z digest=sha256:deff68f14b8d03e5478fa18b5f55987fb77e479cbb7fb69f1f22aa1ddf5228e6

Observation 32c1992a-38ed-4f83-a670-11d580d0277b · outbound

This paper cites Zheng, B.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Zheng, B

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:02.109046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.738068Z digest=sha256:b5ee754d99ca49c80e8add7c07b4320aceb8a7db9989a575e9af4206aa80793b

Observation 3a25a42c-72f2-4c0d-bcf8-2715b764ee6b · outbound

This paper cites Ren and Y.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Ren and Y

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:02.097107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.742143Z digest=sha256:698886291249a758fd8fd43b432f9957f99f484bfd0deee55d42459b09aca50f

Observation 11cb9c7b-3025-47c2-b1dd-e59b2cb77f96 · outbound

This paper cites Generative Adversarial Networks for Real-time Stability of Inverter-based Systems.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Generative Adversarial Networks for Real-time Stability of Inverter-based Systems

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:51:01.931248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.745933Z digest=sha256:ababe5184ed48e633cd36755a2df99352ba2af452257700efa698f94a33db401

Observation 4ec2cd7b-1488-4810-a82e-eefa9ef7529a · outbound

This paper cites Predicting Real-Time Locational Marginal Prices: A GAN-Based Video Prediction Approach.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Predicting Real-Time Locational Marginal Prices: A GAN-Based Video Prediction Approach

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:51:01.914084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.750000Z digest=sha256:098c1261d1683ac3671161c2c3b7ef1ee686492e4ae7eb6b16c7ebd9fed37f8b

Observation 30ad95fd-c985-4b33-87b7-dd46f982c432 · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.085241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.754645Z digest=sha256:f008911c1aabf74aece2922094d332708d174bc7becdd4ee4752efd2e9edd98b

Observation 174ac1b8-a320-431c-9229-dbcebf2d9d5f · outbound

This paper cites Goodfellow, J.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Goodfellow, J

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:02.074003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.758612Z digest=sha256:1213730256350bfe8cd75395d452973e701e6e4cfbc6a02368f9a34a9607adef

Observation c7fb6fd8-c76a-4ec1-bef1-0ce7cfdeef1e · outbound

This paper cites Wasserstein GAN.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Wasserstein GAN

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T11:51:01.762653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:51:01.762653Z digest=sha256:d6bec7aea007ee89792d4e1e81e6bd30cf5f6901ea3b621b55f660832207708c

Observation 038f52f8-1932-4b1f-a34d-3414e7bb8308 · outbound

This paper cites Arjovsky, S.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Arjovsky, S

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:02.060782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.766784Z digest=sha256:74ce97d352983f41963cad912b4f16aa8f1f28116a402358e26d481669bc9c09

Observation 6f345374-26dd-4790-8be5-731b22aaba53 · outbound

This paper cites Gulrajani, F.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Gulrajani, F

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:02.049248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.770755Z digest=sha256:bae2250ade0268668b1d678e40adeeac20c7139f8c746827e4b3c964e925011d

Observation 2c7cc419-2c07-4566-9154-b5e93a5ef9a7 · outbound

This paper cites Mescheder, G.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Mescheder, G

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:02.037904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.774674Z digest=sha256:054704fefc9293eed6345b55af790f01d6d52ff76ea42ded2dd6798a91c409d8

Observation 19838fa7-472f-4f0e-b2e2-1bfcacbb6468 · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.026506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.779027Z digest=sha256:2be3514994bddc5dc7ae11e55fe09c78b8caf1ba6b92df45594e0119a4ce2c71

Observation bcf88e6b-8537-4d15-9794-918df18d83f8 · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.014950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.783059Z digest=sha256:5a09d46e9d51f6e10c769ea1364add9981ae2140e1901ecd958560f783411bd9

Observation 453208a4-5894-4cff-876c-988d6335ef58 · outbound

This paper cites MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T11:51:01.786571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:51:01.786571Z digest=sha256:e19fb27aad12021279778541e9e0cc0f69ac603ecc641f280030a3a0013f1920

Observation 0a68cd12-e901-4e9f-8d8b-1e6ad8d589ba · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:02.002723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.790677Z digest=sha256:09688991a9963bceafef3c6a7d97a04e075c2f1a1638c297d4cbe9ba6db79ea4

Observation b5b14b54-590f-45bc-9c38-8e82a720e037 · outbound

This paper cites Time Series Simulation by Conditional Generative Adversarial Net.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Time Series Simulation by Conditional Generative Adversarial Net

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T11:51:01.794944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:51:01.794944Z digest=sha256:88cf5f9553400a54345b17ecbdcc5b7b59ad3e46192c918607b042b8c535ddba

Observation 3454a22c-9113-4427-991e-da77920e63d3 · outbound

This paper cites Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T11:51:01.799336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:51:01.799336Z digest=sha256:3c2c182b5d8b13a591a6d6dc497033c5e27a0c48b5c156213e7f81f65b895a10

Observation d231ecdc-2cd3-469c-976d-a575ae0df9bd · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-14T11:51:01.803188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:51:01.803188Z digest=sha256:3270f138423f1ad01ffc600a0f7b64d9244beeb36f6dda46845a7938e4907a3f

Observation 4a6866d8-469f-4067-895b-3170286560bc · outbound

This paper cites Pai and J.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Pai and J

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:01.990053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.807217Z digest=sha256:8e7c78b9714dc4d0b6a584ced103db475ffa471cba36017f29ead08b430be3e7

Observation f7dc9177-e4d7-4b21-b69b-3fc83e3a96cf · outbound

This paper cites ”Identification of electromechanical modes in power systems.” IEEE Task Force Report, 2012.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach ”Identification of electromechanical modes in power systems.” IEEE Task Force Report, 2012

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:01.977216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.811013Z digest=sha256:de60ffea2406ba92d5306f3c1bd4a0be6257b888a5d5d8864a79f65e813beeae

Observation 7ad5c6cf-0719-42c8-bb17-228a7db497d0 · outbound

This paper cites Kundur, N.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Kundur, N

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:01.965276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.814911Z digest=sha256:a7fe3615f58ac6cf403d9001b02846b2dfe09eb5770a18611bff28a8401913e4

Observation 8cbcde11-9138-4af2-8664-c626e647fec2 · outbound

This paper cites an unresolved cited work.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:51:01.954753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.818887Z digest=sha256:3ff11684b230219d78e1eb1d132b09d17ae0eba77d64c7c79415ba81c7e174a4

Observation 40a91974-3f54-4a0c-9113-58ad594eb210 · outbound

This paper cites Cai and Y.

Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach Cai and Y

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:51:01.942988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:51:01.822845Z digest=sha256:2e43a2c79b37baf277bebaf0930090f30d9e643f1e42cbbe8afa074e018dae1b

Pith citing papers

No inbound Pith citation observations are available.