Pith. sign in

Paper Citation Record · LEDGER

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations

As of 11 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.24790.

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

pith.paper-citation-record.v1
2607.24790 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:44:18.489502Z

measured 18 of 18 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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9500d1a-d4ef-4da5-b5d0-0a238981e4bb · outbound

This paper cites Lens: A leo satellite network measurement dataset,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Lens: A leo satellite network measurement dataset,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.563547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.563547Z digest=sha256:dd61e5becb1bf680c530b3d7082d8e0952c839f0fb3009ad1a444b88ec811653

Observation 5a2de7c2-b107-4070-b239-04f7a31591c6 · outbound

This paper cites WetLinks: a Large-Scale Longitudinal Starlink Dataset with Contiguous Weather Data,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations WetLinks: a Large-Scale Longitudinal Starlink Dataset with Contiguous Weather Data,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.599898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.599898Z digest=sha256:8bf9f07936a380a3764f3cb9118a28007c3ad73b3ac3c2984fa433732385361b

Observation c18ff6ce-1277-4274-81d2-4e5e9a69ab37 · outbound

This paper cites A multifaceted look at starlink performance,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations A multifaceted look at starlink performance,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.633374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.633374Z digest=sha256:3c682ea9935fb3c6b88181e7d7cd3688d779f5ed5d9dac1cdc5e35a0b40190be

Observation 61f10857-bd42-485a-9c1a-fd44e89ec1e2 · outbound

This paper cites Statistical characterization and prediction of e2e latency over leo satellite networks,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Statistical characterization and prediction of e2e latency over leo satellite networks,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.706674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.706674Z digest=sha256:2bd0e05fa41f6dbdabffe0d119074bc3324d7fe778fc8368e208469d71e7527c

Observation 390723b3-fa66-43c3-9ed6-a4b10b9f61af · outbound

This paper cites Generative adversarial nets,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Generative adversarial nets,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.721726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.721726Z digest=sha256:f106053f911aa50dd4735a025d976d8a83440028e6e7ee0fb66be0c66b54ee33

Observation 78b28b75-d97f-4fee-b9b3-b38a9b7e1268 · outbound

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

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations C-RNN-GAN: Continuous recurrent neural networks with adversarial training

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.763945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.763945Z digest=sha256:f3461724c9ce2c0fa04d44220ce706f564dec747bc6ff3318661e5f098e39701

Observation 199675e2-fba3-486c-ad2b-66a44781a100 · outbound

This paper cites Conditional GAN for timeseries generation.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Conditional GAN for timeseries generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.800469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.800469Z digest=sha256:8b1349cca76ef0e6fc93e8cfe6d6deb8269a12c315ee5ca814cb484f8b4a54c0

Observation f032c5a2-e4bf-4ea0-85a9-e64367de1160 · outbound

This paper cites Time-series generative adversarial networks,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Time-series generative adversarial networks,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.855940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.855940Z digest=sha256:bd93a10ad46922a1f104b789249c0e5103d6bfe234f21a11f2fea2711fe18661

Observation 8cc97467-bc55-4af9-b6ae-807f68a4c0ee · outbound

This paper cites Gt-gan: General purpose time series synthesis with generative adversarial networks,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Gt-gan: General purpose time series synthesis with generative adversarial networks,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.879830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.879830Z digest=sha256:54e2a6cc4a310f2466c6f0f968ea6970b43dbcb4fea3ec3ed44473ef63ce5e24

Observation 337a3072-9454-463b-9c45-eae7ebed37bf · outbound

This paper cites Auto-Encoding Variational Bayes.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Auto-Encoding Variational Bayes

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:17.932799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:17.932799Z digest=sha256:2685e7b926f4066efdde2ebcae6dd8d98a22e103f467ecb0574f8996da5bb8b5

Observation 5f5fe82d-3bc9-4b6d-81b2-095cfebb0744 · outbound

This paper cites TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:18.012588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:18.012588Z digest=sha256:0e7a2efb27bfc6207ef368c5db5ddc4f03a5a9d786423df1e5f080d7666f9d7a

Observation 3de10085-213c-4933-8a40-f3bca98ea439 · outbound

This paper cites Diffusion-TS: Interpretable Diffusion for General Time Series Generation.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:18.089872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:18.089872Z digest=sha256:81471d5f16b2ff8d775c4866df31893d1368ada2bd0c88d8048935e9ed2f25f2

Observation 0c4a82e6-c841-4495-b239-933cddc1bde1 · outbound

This paper cites Interpretable genai: Synthetic financial time series generation with probabilistic lstm,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Interpretable genai: Synthetic financial time series generation with probabilistic lstm,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:18.145805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:18.145805Z digest=sha256:c597435f3652c98989dc06e805d3daf10165943db03fb54084a091486107d3f4

Observation 4bf4d323-3f1e-48d1-aa2b-84f77cd1d812 · outbound

This paper cites Ts-gan: Time-series gan for sensor- based health data augmentation,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Ts-gan: Time-series gan for sensor- based health data augmentation,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:18.257527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:18.257527Z digest=sha256:6449ea0cb429ebfef2df8eaea14a3640452764deca7544233dd0fc09d824bdd9

Observation 9b4a2b21-eafa-4428-afd9-bc76f46d581a · outbound

This paper cites Generation of realistic synthetic financial time-series,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Generation of realistic synthetic financial time-series,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:18.313311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:18.313311Z digest=sha256:15128e605741d74e3824cd2dccfb6c7c80eb061279bbaeacc6d0b806ad9507df

Observation 1c3939c0-5351-47be-9a8a-863d2fe3e703 · outbound

This paper cites Time series data aug- mentation for energy consumption data based on improved timegan,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Time series data aug- mentation for energy consumption data based on improved timegan,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:18.376624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:18.376624Z digest=sha256:bfa4dc33b631e68825a12496f2df5b3145f1896a446fdc0a59f0ed4b28ff788e

Observation c040682f-0cd6-4d2c-9948-c31dc34f2eb1 · outbound

This paper cites Seriesgan: Time series generation via adversarial and autoregressive learning,.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Seriesgan: Time series generation via adversarial and autoregressive learning,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:18.428487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:18.428487Z digest=sha256:0f050669f136f2b0e2702ac286987d12556ab733118ddcec5a2bd5a03f69260c

Observation 0fab38a2-1e55-44b4-94c4-4a1b5edd50e1 · outbound

This paper cites Visualizing data using t-sne.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations Visualizing data using t-sne

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T09:44:18.489502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:44:18.489502Z digest=sha256:7b9449da03018ff3fe337ca53f9746e70ce0af050320ffc5e4d2544ad37eff3c

Pith citing papers

No inbound Pith citation observations are available.