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Paper Citation Record · LEDGER

Distributionally Robust Receive Combining

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2401.12345.

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

pith.paper-citation-record.v1
2401.12345 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:50:44.620827Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.749536Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6e2bab43-b6b5-4be2-aa65-a90269afa7ef · inbound

TSFormer: A Robust Framework for Efficient UHD Image Restoration cites this paper.

TSFormer: A Robust Framework for Efficient UHD Image Restoration Distributionally Robust Receive Combining

Reference 30

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source=pdf_text observed=2026-08-12T19:11:45.687698Z digest=sha256:9f165808c516f8cf53b3ac21e064e4e1d2fdd6bd29a02ea601e33feb5f262a85

Observation 3c1138af-fa54-42d5-b563-8d454189ddcf · inbound

Evaluating Tokenizer Performance of Large Language Models Across Official Indian Languages cites this paper.

Evaluating Tokenizer Performance of Large Language Models Across Official Indian Languages Distributionally Robust Receive Combining

Reference 16

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no resolver link, observed 2026-08-12T17:54:44.559532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:54:44.559532Z digest=sha256:6f59f0cf626d81c697a7c1e5c487f9686dae0c9afdd2c80f941140490ec2ff3b

Observation 3aa3f67e-82e1-40e8-9b64-a5f3b7f8eaa1 · inbound

Understanding Galaxy Morphology Evolution Through Cosmic Time via Redshift Conditioned Diffusion Models cites this paper.

Understanding Galaxy Morphology Evolution Through Cosmic Time via Redshift Conditioned Diffusion Models Distributionally Robust Receive Combining

Reference 26

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T11:16:58.493895Z digest=sha256:af7fdc9c6ce4ce23250e8ca51b5e63a6c6e4cc9aa1f0e771ef6040ec0e7260ae

Observation 813f5a5b-7772-49da-be1f-3f3e0697d419 · inbound

Mixture of Hidden-Dimensions Transformer cites this paper.

Mixture of Hidden-Dimensions Transformer Distributionally Robust Receive Combining

Reference 22

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no resolver link, observed 2026-08-11T20:38:23.558130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:38:23.558130Z digest=sha256:0dcebc5d967df1f08c74257ead896d4f3f1e26d7760c5b54355c863971aaa044

Observation 1d9f7c85-4c4c-4afb-8b45-e0d0ccc77b26 · inbound

A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features cites this paper.

A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features Distributionally Robust Receive Combining

Reference 29

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no resolver link, observed 2026-08-10T19:26:44.962285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:26:44.962285Z digest=sha256:0f9be491f284721c52baa05f42f5217e1d4fff59c9aa80845681d2412749c7cd

Observation 777eaec3-5aad-475f-aa31-52b48526e35a · inbound

Creative Problem-Solving: A Study with Blind and Low Vision Software Professionals cites this paper.

Creative Problem-Solving: A Study with Blind and Low Vision Software Professionals Distributionally Robust Receive Combining

Reference 15

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no resolver link, observed 2026-08-09T20:20:08.561627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:20:08.561627Z digest=sha256:ba8b9a677e721fc5c3d5f4bdec000aba391636cdc260be2f5d97e36de524e38f

Observation d50cb929-f064-4d6a-9a68-9ed76fe45f0f · inbound

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction cites this paper.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Distributionally Robust Receive Combining

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:50:44.620827Z digest=sha256:4be455cffc476e985ea8891cae8f2a0c939d54fdac817c01b924ed6871d24826

Observation 234b5e26-3696-42b5-bb7e-ad8c768f1e3a · inbound

DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving cites this paper.

DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving Distributionally Robust Receive Combining

Reference 5

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no resolver link, observed 2026-08-16T01:06:44.287520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:06:44.287520Z digest=sha256:049dfda96027c6d6d9ea807ed450dcd098d421601a8811d0c4da78f3a645c4a1

Observation c7bbd96d-ed6b-456e-a081-05a779eac033 · inbound

Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data cites this paper.

Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data Distributionally Robust Receive Combining

Reference 1

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no resolver link, observed 2026-08-15T22:40:31.848589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:40:31.848589Z digest=sha256:64fbe90d31e774e21dbc17a54e403a222064a0231106bcc4acdffabdc2672a53

Observation e94d4555-9858-4f1d-b95b-9b8018502162 · inbound

Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations cites this paper.

Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations Distributionally Robust Receive Combining

Reference 27

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no resolver link, observed 2026-08-15T22:02:24.093477Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:02:24.093477Z digest=sha256:f365ad14e90802c587b310ac235e0f48128685803bf343fa12a75eb3f26c4494

Observation 73fdf089-61e8-418d-8678-f2ebd4bdb4af · inbound

Zassenhaus Expansion in Solving the Schr\"odinger Equation cites this paper.

Zassenhaus Expansion in Solving the Schr\"odinger Equation Distributionally Robust Receive Combining

Reference 12

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no resolver link, observed 2026-08-15T21:38:17.514094Z

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source=pdf_text observed=2026-08-15T21:38:17.514094Z digest=sha256:f408068507405a1815fc90c72570553722bb639760dace92ad5526c22cbcfe6b

Observation 13204c86-1ca6-48bc-8888-a8d9afe8a625 · inbound

StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization cites this paper.

StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization Distributionally Robust Receive Combining

Reference 51

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no resolver link, observed 2026-08-07T15:29:42.171841Z

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source=pdf_text observed=2026-08-07T15:29:42.171841Z digest=sha256:1458a7612e830e3f483de0cb5162cf914346e04533d447b67fb2fa501f4ea9ba

Observation d75a1b0e-7ccb-45fc-9d03-00695cd64c42 · inbound

Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance cites this paper.

Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance Distributionally Robust Receive Combining

Reference 5

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no resolver link, observed 2026-08-07T14:21:09.935290Z

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source=pdf_text observed=2026-08-07T14:21:09.935290Z digest=sha256:e399b43eb89839fd983b93b217b194ddc52b0c434ae34ded84a4141217835062

Observation bc43c28a-25c9-4381-8c83-bf0b92b7143b · inbound

Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation cites this paper.

Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation Distributionally Robust Receive Combining

Reference 16

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no resolver link, observed 2026-08-07T14:17:11.711326Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:11.711326Z digest=sha256:0636e67242e5194987b724a5b16c76811cfdea3cff17c32ea4670fd56319bd19

Observation 3df6fae6-8eca-44f7-9379-b4d496009627 · inbound

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 cites this paper.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Distributionally Robust Receive Combining

Reference 53

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no resolver link, observed 2026-08-07T12:12:52.430670Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:12:52.430670Z digest=sha256:465cf1c6e91711e4d30eb2316e430edd79a65a088977e7ab1ff75fbbdcde8ff2

Observation 90e5e8d6-3c6f-4798-99bd-00f84c5a2749 · inbound

MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering cites this paper.

MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering Distributionally Robust Receive Combining

Reference 34

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arxiv_id, observed 2026-05-19T07:22:09.183844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T07:21:12.441133Z digest=sha256:dff185d750a6a6a9b17e7749bf36f83e135fe41d880896432fba4bc2aa7f1d68

Observation 72d6e4d9-aafb-4ce8-aad3-bf146e958a17 · inbound

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost cites this paper.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Distributionally Robust Receive Combining

Reference 9

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no resolver link, observed 2026-08-06T13:53:39.982383Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:53:39.982383Z digest=sha256:b653bb881feba46bbfc6dbc3e945d0f8aa89e85647d5bae91ca73ad0459090a4

Observation 0f0eb97b-96b5-46e6-9ba4-d436b8d88aa7 · inbound

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction cites this paper.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Distributionally Robust Receive Combining

Reference 63

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source=pdf_text observed=2026-08-06T10:13:23.857992Z digest=sha256:2e9876b93fa78be642398c25a4bf7fa26f0261a1ecf5ba09f782206c9735935f

Observation 12ec44f5-8dce-40e6-b8b3-68972c516b07 · inbound

Engineering snags for spatial curvature in weaves: Fabrication, mechanics, and inverse design cites this paper.

Engineering snags for spatial curvature in weaves: Fabrication, mechanics, and inverse design Distributionally Robust Receive Combining

Reference 41

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source=arxiv_source observed=2026-08-05T22:42:21.263994Z digest=sha256:37881206d98a421584cb5639c24308f901cc0dbdd852b94c23fab85541a6eb9e

Observation 5de87bcd-4b74-484e-973c-d1f4b3311ad1 · inbound

Semantic Anchoring in Agentic Memory: Leveraging Linguistic Structures for Persistent Conversational Context cites this paper.

Semantic Anchoring in Agentic Memory: Leveraging Linguistic Structures for Persistent Conversational Context Distributionally Robust Receive Combining

Reference 20

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source=arxiv_source observed=2026-08-15T17:22:15.816705Z digest=sha256:eaa7c44b6d54d4cc240dcec626bcf653361c20e7c31289a07fa8af355bd7c668

Observation 0f3f6d97-668e-4330-bdff-6df114a1b0b9 · inbound

Embodied Hazard Mitigation using Vision-Language Models for Autonomous Mobile Robots cites this paper.

Embodied Hazard Mitigation using Vision-Language Models for Autonomous Mobile Robots Distributionally Robust Receive Combining

Reference 11

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no resolver link, observed 2026-08-04T23:11:00.536183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:11:00.536183Z digest=sha256:5ca2f760d6afdc09eeb53e93d8b922d7a7f690b99703dc994e62942c751f746f

Observation 850837d0-4cd1-4f04-bee6-616fec9ac497 · inbound

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models cites this paper.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models Distributionally Robust Receive Combining

Reference 1

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no resolver link, observed 2026-08-04T20:19:18.105098Z

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source=pdf_text observed=2026-08-04T20:19:18.105098Z digest=sha256:be04b52aa805c037eb05ce8eefd2b1305bd050bed3b992f80ed6398ee356716d

Observation d6c16ad2-9bde-451f-8d83-7fb0d3ca75a1 · inbound

Explainability of CNN Based Classification Models for Acoustic Signal cites this paper.

Explainability of CNN Based Classification Models for Acoustic Signal Distributionally Robust Receive Combining

Reference 35

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source=pdf_text observed=2026-08-15T16:09:15.723078Z digest=sha256:5d4311b4c1dd698757813c48b36ef146790e80c6e95616e4afa0ea59444a6790

Observation fe0310ba-e1e6-4b34-86ca-e4a92d6df691 · inbound

Physics Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation cites this paper.

Physics Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation Distributionally Robust Receive Combining

Reference 90

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no resolver link, observed 2026-08-03T20:20:00.565352Z

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source=pdf_text observed=2026-08-03T20:20:00.565352Z digest=sha256:2d44f193363d8bc7aeedb075b35e33d1446a640fb7edf19285dbf27e763f3dbf

Observation dd672743-32ad-45e0-8e3e-3cecd71e3d90 · inbound

Bad Foundations and Manipulable Objects cites this paper.

Bad Foundations and Manipulable Objects Distributionally Robust Receive Combining

Reference 2011

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no resolver link, observed 2026-08-02T22:45:36.473785Z

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source=pdf_text observed=2026-08-02T22:45:36.473785Z digest=sha256:3c5fe50ee73a749e53047844729d58fb55c428d72f3189992c730f0933e8b68b

Observation 4aeb0c14-3559-40c4-9bc4-cacdfad9287a · inbound

MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction cites this paper.

MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction Distributionally Robust Receive Combining

Reference 17

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verified exact
arxiv_id, observed 2026-05-12T08:01:31.898343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T01:22:15.608348Z digest=sha256:1151070d9125ab0e55f58029f143083b054ad475b231b572c1796ec469f107fc

Observation 3539bfba-5c22-496b-828f-0ec697c5ecc8 · inbound

Constraints on the Higgs-gluon effective coupling through $h \to \gamma\gamma$ decays at the LHC cites this paper.

Constraints on the Higgs-gluon effective coupling through $h \to \gamma\gamma$ decays at the LHC Distributionally Robust Receive Combining

Reference 3

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arxiv_id, observed 2026-07-03T06:37:42.342926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T12:37:39.798963Z digest=sha256:d6a7d9610d9c89e510d5fa31d548fd0b6bc062ecc6731b8d30ea48f9c2ae625f

Observation 02bb793d-c21e-401d-ba7a-6fdabe9701e6 · inbound

Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA cites this paper.

Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA Distributionally Robust Receive Combining

Reference 17

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arxiv_id, observed 2026-07-03T07:57:45.327490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T11:19:17.690153Z digest=sha256:6531a444cc4edddf3af0dddfd271e333ba213bd45ca6eec07f1f751731a7569e

Observation 228d8a48-1ef3-478c-b8be-8f42e2206b53 · inbound

A Deterministic Forensic Preprocessing Framework for Heterogeneous Network Datasets: Formal Foundations, Implementation, and Empirical Validation cites this paper.

A Deterministic Forensic Preprocessing Framework for Heterogeneous Network Datasets: Formal Foundations, Implementation, and Empirical Validation Distributionally Robust Receive Combining

Reference 19

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metadata mismatch
arxiv_id, observed 2026-07-03T11:18:03.224890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T09:40:31.877783Z digest=sha256:302ac530a24b15f3aaa05d736a6c7f86ddd1974c0848ac0dc26f0afda95ea029

Observation 565f81af-8ba6-4254-b642-77462021e5fd · inbound

Structural MRI Synthesis for Alzheimer's Disease via Conditional Diffusion on Anatomical Masks cites this paper.

Structural MRI Synthesis for Alzheimer's Disease via Conditional Diffusion on Anatomical Masks Distributionally Robust Receive Combining

Reference 31

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arxiv_id, observed 2026-07-03T23:29:02.751058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T22:12:46.169295Z digest=sha256:63b4454da983866d005e61d713b9d28f5d3bfc0b06f99348f83efc465c5563cd

Observation 23826bc3-0cc4-4e56-bb62-a97d071c37d2 · inbound

Geometrically vertex decomposable star configurations cites this paper.

Geometrically vertex decomposable star configurations Distributionally Robust Receive Combining

Reference 20

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source=pdf_text observed=2026-07-14T09:57:28.169569Z digest=sha256:3b4bf62a2111b9e96ab362b0199cd46d51761d72bd71fea5503b79a6fa833d32

Observation 2b5461b6-11c4-4276-8345-f146d088149e · inbound

Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels cites this paper.

Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels Distributionally Robust Receive Combining

Reference 24

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source=pdf_text observed=2026-08-03T09:55:03.017334Z digest=sha256:f7d4b3c34f0f9b722b1262e433b5d14b38d364c92d4b67c5d096c93109d94e61