Paper Citation Record · LEDGER

Deciphering the global production network from cross-border firm transactions

As of 24 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2508.12315.

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

pith.paper-citation-record.v1
2508.12315 v4

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:25:19.696081Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-24T06:31:39.355289+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:51:32.657380Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:51:32.860940Z

Reference resolution

47 of 47 outbound references displayed

verified exact0
verified fuzzy43
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c89060ef-09ba-44f2-b779-b4a2c9f69ab2 · outbound

This paper cites Joint UA V de- ployment and space-time-frequency resource allocation for low-altitude economy,.

Deciphering the global production network from cross-border firm transactions Joint UA V de- ployment and space-time-frequency resource allocation for low-altitude economy,

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T17:25:19.981409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation afe0d06d-4c47-46cb-a13f-8c49b8000519 · outbound

This paper cites Ubiquitous UA V com- munication enabled low-altitude economy: applications, techniques, and 3GPP’s efforts,.

Deciphering the global production network from cross-border firm transactions Ubiquitous UA V com- munication enabled low-altitude economy: applications, techniques, and 3GPP’s efforts,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T17:25:19.455549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936f47be-d2af-48fb-9b44-ea2aa7b70d66 · outbound

This paper cites Co-design of sensing, communications, and control for low-altitude wireless net- works,.

Deciphering the global production network from cross-border firm transactions Co-design of sensing, communications, and control for low-altitude wireless net- works,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T17:25:19.460573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac71f1fe-458f-48ac-b2ed-b877c5f9899f · outbound

This paper cites Deceiving reactive jamming in dynamic wireless sensor networks: a deep reinforcement learning based approach,.

Deciphering the global production network from cross-border firm transactions Deceiving reactive jamming in dynamic wireless sensor networks: a deep reinforcement learning based approach,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.719695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 564df952-7046-4ee2-b1a9-2c12d26e9581 · outbound

This paper cites Jamming detection in broadband frequency hopping systems based on multi-segment signals spectrum clustering,.

Deciphering the global production network from cross-border firm transactions Jamming detection in broadband frequency hopping systems based on multi-segment signals spectrum clustering,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.703993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation fdc03a1c-7718-43e4-8702-50ac55ede9e2 · outbound

This paper cites Time-frequency component-aware convolutional neural network for wireless interference classification,.

Deciphering the global production network from cross-border firm transactions Time-frequency component-aware convolutional neural network for wireless interference classification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.686896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 82131db2-64ff-481d-b2db-aa2304bb3014 · outbound

This paper cites UA V anti-jamming communications with power and mobility control,.

Deciphering the global production network from cross-border firm transactions UA V anti-jamming communications with power and mobility control,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.669266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 0a2f4409-8444-41e5-bfba-61e258e4d83e · outbound

This paper cites Physical-layer security enhancement for SIMO- MBM systems,.

Deciphering the global production network from cross-border firm transactions Physical-layer security enhancement for SIMO- MBM systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.653746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 8a1574cc-5e9a-40f7-8662-eff2b7fd4d70 · outbound

This paper cites Reinforcement learning-based dynamic anti-jamming power control in UA V networks: An effective jamming signal strength based approach,.

Deciphering the global production network from cross-border firm transactions Reinforcement learning-based dynamic anti-jamming power control in UA V networks: An effective jamming signal strength based approach,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.637389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 3687955a-478b-43bd-a9ce-96fe94dc1caf · outbound

This paper cites Bring globality into convolutional neural networks for wireless interference classification,.

Deciphering the global production network from cross-border firm transactions Bring globality into convolutional neural networks for wireless interference classification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.621269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 2bcf4ba3-f909-4720-997a-dc9d4803306d · outbound

This paper cites Data-driven deep learning for automatic modulation recognition in cognitive radios,.

Deciphering the global production network from cross-border firm transactions Data-driven deep learning for automatic modulation recognition in cognitive radios,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.604757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation c2b1eece-c4c5-4186-b7d9-5c36e3b51b62 · outbound

This paper cites Learning dynamic computing resource allocation in convolutional neural networks for wireless interference identification,.

Deciphering the global production network from cross-border firm transactions Learning dynamic computing resource allocation in convolutional neural networks for wireless interference identification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.587123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 536853bd-2c56-4741-aeec-a25d8ced4215 · outbound

This paper cites Range dimensional monopulse approach with FDA-MIMO radar for mainlobe deceptive jamming suppression,.

Deciphering the global production network from cross-border firm transactions Range dimensional monopulse approach with FDA-MIMO radar for mainlobe deceptive jamming suppression,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.571650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation a31d6ada-d766-434a-bd87-4b4baad9cff5 · outbound

This paper cites Signal fusion-based algo- rithms to discriminate between radar targets and deception jamming in distributed multiple-radar architectures,.

Deciphering the global production network from cross-border firm transactions Signal fusion-based algo- rithms to discriminate between radar targets and deception jamming in distributed multiple-radar architectures,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.556709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation ae49afca-fe5a-4063-ab2d-5406a324c930 · outbound

This paper cites Dis- crimination of active false targets based on hermitian distance for distributed multiple-radar architectures,.

Deciphering the global production network from cross-border firm transactions Dis- crimination of active false targets based on hermitian distance for distributed multiple-radar architectures,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.540957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 2e1b14d8-e539-40e9-8754-04a644ffd1e5 · outbound

This paper cites Radar detection and classification of jamming signals belonging to a cone class,.

Deciphering the global production network from cross-border firm transactions Radar detection and classification of jamming signals belonging to a cone class,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.524804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 56d6fee8-c4b3-4fe4-b8db-7649f3079e6c · outbound

This paper cites Discrimination between radar targets and deception jamming in distributed multiple- radar architectures,.

Deciphering the global production network from cross-border firm transactions Discrimination between radar targets and deception jamming in distributed multiple- radar architectures,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.509126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 98c00d1b-a2e5-4297-922a-7a8029db8ff8 · outbound

This paper cites Research on anti- jamming technology of chaotic composite short range detection system based on underdetermined signal separation and spectral analysis,.

Deciphering the global production network from cross-border firm transactions Research on anti- jamming technology of chaotic composite short range detection system based on underdetermined signal separation and spectral analysis,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.492986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation e45bb00a-dc01-4b8b-a26b-5f8035379a61 · outbound

This paper cites Jamming efficiency analysis based on the range profile of target with chaff,.

Deciphering the global production network from cross-border firm transactions Jamming efficiency analysis based on the range profile of target with chaff,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.477045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation b140d2a0-1cda-44e2-836c-adc9966b7535 · outbound

This paper cites Jamming recognition method based on the polarisation scattering characteristics of chaff clouds,.

Deciphering the global production network from cross-border firm transactions Jamming recognition method based on the polarisation scattering characteristics of chaff clouds,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.459057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 8f151c70-3fbb-4030-9129-1c2ea4acf48e · outbound

This paper cites A dynamic discretization approach for constructing decision trees with a continuous label,.

Deciphering the global production network from cross-border firm transactions A dynamic discretization approach for constructing decision trees with a continuous label,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.441293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 4a9de69c-afbd-46e4-a863-aa020550e18b · outbound

This paper cites Twin support vector machines for pattern classification,.

Deciphering the global production network from cross-border firm transactions Twin support vector machines for pattern classification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.422386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation ad87d7b6-88be-41b8-aba0-d4055500324b · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

Deciphering the global production network from cross-border firm transactions Very deep convolutional networks for large-scale image recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.404014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 070f5e39-a34d-4ee2-96a5-67759d1cb607 · outbound

This paper cites Deep residual learning for image recognition,.

Deciphering the global production network from cross-border firm transactions Deep residual learning for image recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.388103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation ff058324-2934-464e-991c-f6ae7f9f9638 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Deciphering the global production network from cross-border firm transactions Rethinking the inception architecture for computer vision,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.371212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation b173ab37-eece-4575-ab59-4a56f306999d · outbound

This paper cites Squeeze-and-excitation networks,.

Deciphering the global production network from cross-border firm transactions Squeeze-and-excitation networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.354970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 44014c78-0e4c-46ae-842d-ed25243f0755 · outbound

This paper cites Learning-based wireless powered secure transmission,.

Deciphering the global production network from cross-border firm transactions Learning-based wireless powered secure transmission,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.339206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation ea059a8c-bd79-49df-8870-14aa53652f95 · outbound

This paper cites Deep learning-assisted demodulation for tera- Hertz communications under hybrid distortions,.

Deciphering the global production network from cross-border firm transactions Deep learning-assisted demodulation for tera- Hertz communications under hybrid distortions,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.323142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 8b878448-00f4-44d6-b9db-04a626215ebf · outbound

This paper cites Transformer-empowered 6G intelligent networks: From massive MIMO processing to semantic communication,.

Deciphering the global production network from cross-border firm transactions Transformer-empowered 6G intelligent networks: From massive MIMO processing to semantic communication,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.308083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 6a57d966-b6b1-4587-920a-26232629a9b2 · outbound

This paper cites MmWave beam prediction under hand blockage,.

Deciphering the global production network from cross-border firm transactions MmWave beam prediction under hand blockage,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.291097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation c1279d53-3de4-4696-8f7f-12a7dacd67ef · outbound

This paper cites Robust deep sensing through transfer learning in cognitive radio,.

Deciphering the global production network from cross-border firm transactions Robust deep sensing through transfer learning in cognitive radio,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.273351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 0312ead8-c646-4c70-b828-8065d1dfe19e · outbound

This paper cites Adversarial attacks in modulation recognition with convolutional neural networks,.

Deciphering the global production network from cross-border firm transactions Adversarial attacks in modulation recognition with convolutional neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.258201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation f34afbfb-b182-441f-80dc-f28c3e70eef5 · outbound

This paper cites Complex-valued networks for automatic modulation classification,.

Deciphering the global production network from cross-border firm transactions Complex-valued networks for automatic modulation classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.243060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 46bc824d-e773-43d9-820c-c34850253b3c · outbound

This paper cites Automatic modulation classification based on decentralized learning and ensemble learning,.

Deciphering the global production network from cross-border firm transactions Automatic modulation classification based on decentralized learning and ensemble learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.225836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation bcaea3bf-a97b-4f81-9771-4f3d43ebe5e9 · outbound

This paper cites Binary neural networks for wireless interference identification,.

Deciphering the global production network from cross-border firm transactions Binary neural networks for wireless interference identification,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.209495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 33e7d4d8-d3e2-484e-b781-5b3d7b7d84a9 · outbound

This paper cites Convolutional neural network-based radar jamming signal classification with sufficient and limited samples,.

Deciphering the global production network from cross-border firm transactions Convolutional neural network-based radar jamming signal classification with sufficient and limited samples,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.190777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation cf668228-fffd-4202-9b55-ce701a1c7038 · outbound

This paper cites JRNet: jamming recognition networks for radar compound suppression jamming signals,.

Deciphering the global production network from cross-border firm transactions JRNet: jamming recognition networks for radar compound suppression jamming signals,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.172606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 40a69b5b-7cc8-411b-949d-4464e20148d5 · outbound

This paper cites Abandon locality: Frame-wise embedding aided transformer for automatic modulation recognition,.

Deciphering the global production network from cross-border firm transactions Abandon locality: Frame-wise embedding aided transformer for automatic modulation recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.141574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 9a214d0e-8b49-4f9f-86a5-591222d3bb6d · outbound

This paper cites Adversarial attack and defense on deep learning for air transportation communication jamming,.

Deciphering the global production network from cross-border firm transactions Adversarial attack and defense on deep learning for air transportation communication jamming,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.119110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation b8e48c9c-6101-4b4c-ba65-2db43cc522fc · outbound

This paper cites Adversarial attacks on deep-learning based radio signal classification,.

Deciphering the global production network from cross-border firm transactions Adversarial attacks on deep-learning based radio signal classification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.100754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation df2116cf-ff57-48f9-ad47-54cc5bac769c · outbound

This paper cites Threat of adversarial attacks on DL-based IoT device identification,.

Deciphering the global production network from cross-border firm transactions Threat of adversarial attacks on DL-based IoT device identification,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.082512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation ef699e25-c4c8-4b16-b99a-010dfda8a14f · outbound

This paper cites Explaining and harnessing adversarial examples,.

Deciphering the global production network from cross-border firm transactions Explaining and harnessing adversarial examples,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.065116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 60ec4f9f-3498-4596-b32a-ad61cf883d64 · outbound

This paper cites Distillation as a defense to adversarial perturbations against deep neural networks,.

Deciphering the global production network from cross-border firm transactions Distillation as a defense to adversarial perturbations against deep neural networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.047091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 26946ecf-6501-4816-82ca-90cdc5e66246 · outbound

This paper cites Feature denoising for improving adversarial robustness,.

Deciphering the global production network from cross-border firm transactions Feature denoising for improving adversarial robustness,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.030552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 94ee996e-fd47-4572-bd67-68d8d4ee7601 · outbound

This paper cites Towards achieving adversarial robustness by enforcing feature consis- tency across bit planes,.

Deciphering the global production network from cross-border firm transactions Towards achieving adversarial robustness by enforcing feature consis- tency across bit planes,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:20.013497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Observation 8671215c-7686-4948-9316-a45a4d52e676 · outbound

This paper cites Differential Transformer.

Deciphering the global production network from cross-border firm transactions Differential Transformer

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T17:25:19.691024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9627b3d8-2bf8-429d-908c-b7bc2b70807e · outbound

This paper cites An image is worth 16x16 words: transformers for image recognition at scale,.

Deciphering the global production network from cross-border firm transactions An image is worth 16x16 words: transformers for image recognition at scale,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:25:19.997748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.

Pith citing papers

Observation a17872c4-99bd-45ed-b988-c9ad07a6d59d · inbound

Synthetic supply networks cites this paper.

Synthetic supply networks Deciphering the global production network from cross-border firm transactions

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:51:32.865968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-24T06:31:39.355289+00:00.