Paper Citation Record · LEDGER

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data

As of 9 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.17873.

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

pith.paper-citation-record.v1
2508.17873 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:47:27.847634Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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 exact1
verified fuzzy21
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7dcb1b59-47a0-4496-ad09-1c1e400e56a9 · outbound

This paper cites Associations between long-term ozone exposure and small airways function in Chinese young adults: a longitudinal cohort study [J].

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Associations between long-term ozone exposure and small airways function in Chinese young adults: a longitudinal cohort study [J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.179231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 32646629-f036-42f1-a70e-2a4d09817265 · outbound

This paper cites Avoidable mortality due to long-term exposure to PM2.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Avoidable mortality due to long-term exposure to PM2

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.173019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation afc4433e-d1d6-488e-91ad-03c607b0f897 · outbound

This paper cites an unresolved cited work.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:47:28.166481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1f7ffb72-4548-4b41-89eb-f38390e8eb6d · outbound

This paper cites an unresolved cited work.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:47:28.160638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 213f18f3-7a9c-4b66-b6ea-6bc80be08837 · outbound

This paper cites an unresolved cited work.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:47:28.154613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a83f0d93-7daa-4e8d-a9bb-ad079dc6790f · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T16:47:27.782426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 534fe618-5255-431f-96f1-55639a75570c · outbound

This paper cites an unresolved cited work.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:47:28.148652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 674218f7-ef41-457c-b1d8-6e045fc7dc1b · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T16:47:27.789866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 862bb16a-9632-4af2-8e3e-fad7ca95ffae · outbound

This paper cites In: The Eleventh International Con- ference on Learning Representations, 2023.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: The Eleventh International Con- ference on Learning Representations, 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.142565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7f85a59a-7f5e-4aa8-a3aa-3bef337e5c62 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 35(12): 11106–11115.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 35(12): 11106–11115

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.135624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f54f9bbb-1fda-4eeb-a901-7a888d33b8f8 · outbound

This paper cites an unresolved cited work.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:47:28.129181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e15bf0d2-1fa6-4c46-bf00-4a1a273dff00 · outbound

This paper cites an unresolved cited work.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:47:28.123141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a735b372-b0ea-4a91-b722-d6b489007ba3 · outbound

This paper cites Expert Syst.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Expert Syst

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.116658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d04fd9c6-c7e3-41b0-8f66-2e99db9ea619 · outbound

This paper cites arXiv preprint arXiv:2101.04264 (2021).

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data arXiv preprint arXiv:2101.04264 (2021)

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-05T16:47:27.979002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a3ff7125-5c8a-4db0-a2be-e29facfc3b4b · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, 2023, 37(12): 14329 - 14337.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI Conference on Artificial Intelligence, 2023, 37(12): 14329 - 14337

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.110627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e619413e-7dd4-4b4d-9cc2-0d6303ff7be1 · outbound

This paper cites ACM Trans.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data ACM Trans

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.103945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ebb3efba-bcd9-41cd-9ad2-28064dc38b26 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence, 2017, 31(1).

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI conference on artificial intelligence, 2017, 31(1)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.097541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4318da08-dd32-488b-91df-2325e162186d · outbound

This paper cites Graph HyperNetworks for Neural Architecture Search.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Graph HyperNetworks for Neural Architecture Search

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T16:47:27.810763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c40b5fb7-79bf-44fe-8e5f-11fe442e72a1 · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T16:47:27.813056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17626975-5f1d-4da6-a309-9676fbcfd7f7 · outbound

This paper cites In: Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, 2020, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, 2020, pp

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.091443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 647be74f-930d-4e94-b268-2750ca07a7a6 · outbound

This paper cites In: Proceedings of the web conference 2020, 2020, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the web conference 2020, 2020, pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.085063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25b87a35-39b0-47fb-85f4-4dad0ccdc18d · outbound

This paper cites an unresolved cited work.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:47:28.079027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb19bb11-903a-47fc-b0c4-6b5e30248845 · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Spectral Networks and Locally Connected Networks on Graphs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T16:47:27.821298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d49f7b2-278b-4fc3-af30-dcf2445ec718 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Semi-Supervised Classification with Graph Convolutional Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T16:47:27.823522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b751f609-797f-40fa-9fbf-4f8f6c964839 · outbound

This paper cites In: Proceedings of the 30th Interna- tional Conference on Neural Information Processing Systems (NIPS’16), 2016, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the 30th Interna- tional Conference on Neural Information Processing Systems (NIPS’16), 2016, pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.073066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f3f4d90-1fb0-4d39-b1e2-4f0e809d55db · outbound

This paper cites Biometrika, 37(1/2), 17 - 23 (1950).

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Biometrika, 37(1/2), 17 - 23 (1950)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.066344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1e1c1dd8-b856-47d2-a668-13d0199f54a4 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition, 2018, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the IEEE conference on computer vision and pattern recognition, 2018, pp

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.060107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a5f0736-8b21-410f-9ec1-cfa14ca1bf7a · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2019, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2019, pp

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.053061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 404ef7fc-6613-420b-a939-4926f55bd7b8 · outbound

This paper cites In: IJCAI, 2018, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: IJCAI, 2018, pp

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.046915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fb2f09f1-5837-4f18-a541-795d9e2ee958 · outbound

This paper cites In: Supervised sequence labelling with recurrent neural networks, 2012, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Supervised sequence labelling with recurrent neural networks, 2012, pp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.040375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 79cf9d79-4e9a-44d6-8b14-843120318986 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T16:47:27.837828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 362f76ba-5e4d-414e-8556-c6b9f54e4bb9 · outbound

This paper cites In: Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining, 2021, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining, 2021, pp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.033142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 43f00a88-1388-44f7-9f85-5cdb81a33d10 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, 38(14): 15715 - 15724.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, 38(14): 15715 - 15724

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.026600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7014c0a6-24a7-44ed-b8b3-ded853cc6835 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence, 2020, 34(01): 1234 - 1241.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI conference on artificial intelligence, 2020, 34(01): 1234 - 1241

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.020110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b07c625-d43d-41ae-ac23-29921fcd84e0 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence, 2019, 33(01): 922 - 929.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI conference on artificial intelligence, 2019, 33(01): 922 - 929

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.012970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9ac448d2-7a04-4820-9dd7-06866e0fa211 · outbound

This paper cites Mathematics, 10(9), 1599 (2022).

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Mathematics, 10(9), 1599 (2022)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:47:28.005374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.