Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:48:31.308145Z
Paper Citation Record · LEDGER
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction
As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.04665.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
44 of 44 outbound references displayed
- verified exact1
- verified fuzzy10
- unresolved33
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e8cf3314-26d8-4da5-805e-4910170b76d7 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c59c2617-3a71-4a6c-8873-a2a47b2a7ab6 · outbound
This paper cites B., & Cheung, B.
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dc8c3ced-d744-48d2-8214-51ef25800783 · outbound
This paper cites N., & Bissacco, G.
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bfe964d0-f5a4-49bc-81d1-c8a6f575a954 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c78b9ecc-c917-4dc5-a15b-92b3567f7ec1 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b234be2c-9f06-4be5-8a13-2cf7bb83ffad · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3df8ae63-fab0-4d87-93b1-25c2fc3a07a8 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 93e998a3-0238-48d0-b462-9225f99899db · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9c700a76-8932-43fb-92e5-02bf8cf686c2 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 441c8dba-5c09-44e7-b1d9-e608b137d13a · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 823ed993-29be-4f81-8c52-053a9e6e5708 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 57549353-7417-4cbd-b5ec-26c595442cb1 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0305266d-8914-4c7c-8fb2-9778c094de09 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 260dc1b3-6280-42ad-92ee-388a992f870c · outbound
This paper cites F., & Zheng, P.
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c19b4b9e-bdc5-4f2f-8326-ef241db98a21 · outbound
This paper cites T., & Komanduri, R.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction T., & Komanduri, R
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e904c863-1a37-4320-b35c-5ad21613cb9c · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 161d84ee-5600-4228-9a2f-ec45a3ec8c57 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4200156e-e719-4361-b7c9-c66e01e5f2f4 · outbound
This paper cites & Wang, C.
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9c1bbc9d-4877-4370-b795-07f6b13b7458 · outbound
This paper cites ( 2024) A Novel Approach to Surface Roughness Virtual Sample Generation to Address the Small Sample Size Problem in Ultra-Precision Machining.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction ( 2024) A Novel Approach to Surface Roughness Virtual Sample Generation to Address the Small Sample Size Problem in Ultra-Precision Machining
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 69474e07-80e7-4926-a397-6763f901afc9 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:36.223300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 060ebf96-6445-4b43-ab81-559e758a7d3f · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6810a85a-7543-4edf-ae97-8285915c3e3a · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dd4ed005-c887-43f8-8489-2e2479e2d831 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4fd43539-ce63-4c83-9577-2db8da26316b · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:35.333980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 77344705-9ba5-4b47-85cd-c40d12cf7996 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation faccdb1d-8b8c-429e-95d5-e137c1918c43 · outbound
This paper cites & Bengio, Y.
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d1db59d3-5878-46a5-af0d-046603a4b5c0 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:34.817898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ef560080-c9db-4e38-a948-4966f6f6ed71 · outbound
This paper cites P., & Welling, M.
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fcdda9a7-293c-400c-99ac-ec6bc479e460 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8f49d1e3-4402-482a-a287-619b3188b0d6 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 241a9a28-53d2-4833-96c6-9f7fb7e988dd · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 31
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f3b88bc3-7c9e-40ab-a5be-eef0a42e9883 · outbound
This paper cites InfoVAE: Information Maximizing Variational Autoencoders.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction InfoVAE: Information Maximizing Variational Autoencoders
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b7578f2-ba5e-4425-89f2-ef45c6a5d252 · outbound
This paper cites Towards Principled Methods for Training GANs.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Towards Principled Methods for Training GANs
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3fe5f5b0-6ebf-4d07-a5b5-e71e2f3630d8 · outbound
This paper cites MMD GAN: Towards Deeper Understanding of Moment Matching Network.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction MMD GAN: Towards Deeper Understanding of Moment Matching Network
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1907a68-80da-4b91-b87c-a67aa4046c9d · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 35
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2f6bf607-d6b3-41c4-920b-701136cf394e · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 36
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d3e6b6d5-dd4d-4831-9fb7-5e957a56b751 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7cc518ab-c6f6-4837-b5e1-d4ac608ae70b · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 38
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a680181e-5378-4004-953d-a7ede0ad664a · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:32.217994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 88465c26-a39e-4d8d-ac6a-761bc693b348 · outbound
This paper cites Conditional Generative Adversarial Networks for Emoji Synthesis with Word Embedding Manipulation.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Conditional Generative Adversarial Networks for Emoji Synthesis with Word Embedding Manipulation
Reference 40
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 14a77780-0729-4e62-aef4-171319e4a696 · outbound
This paper cites (2024) Roughness prediction of end milling surface for behavior mapping of digital twined machine tools [version 2; peer review: 2 approved, 1 approved with reservations].
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction (2024) Roughness prediction of end milling surface for behavior mapping of digital twined machine tools [version 2; peer review: 2 approved, 1 approved with reservations]
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:32.069205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a827b90f-fe9a-44a5-bd76-acf2878998d2 · outbound
This paper cites Conditional Generative Adversarial Nets.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Conditional Generative Adversarial Nets
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6d864eb-cb30-49c3-a6be-bef71b95e6ce · outbound
This paper cites Conditional Image Synthesis With Auxiliary Classifier GANs.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Conditional Image Synthesis With Auxiliary Classifier GANs
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:31.208212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c654296c-73c2-478b-9b62-ed9ff6bad8c1 · outbound
This paper cites an unresolved cited work.
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:31.794814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.