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Paper Citation Record · LEDGER

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis

As of 12 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2501.16842.

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

pith.paper-citation-record.v1
2501.16842 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:17:53.810634Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved14
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b2d64fb-4211-4474-96d3-7544e5e8458e · outbound

This paper cites Research and application of ai in 5g network operation and maintenance,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Research and application of ai in 5g network operation and maintenance,

Reference 1

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7da1806d-9f8c-4c1e-868d-eb1651a1c48f · outbound

This paper cites A survey of aiops methods for failure management,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis A survey of aiops methods for failure management,

Reference 2

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Observation 213108e9-a36e-4207-afdc-b04e28279aff · outbound

This paper cites Toward addressing training data scarcity challenge in emerging radio access networks: A survey and framework,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Toward addressing training data scarcity challenge in emerging radio access networks: A survey and framework,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6bd4b456-4e9c-4d0a-8537-04d0ebd3af00 · outbound

This paper cites Towards generalist biomedical ai,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Towards generalist biomedical ai,

Reference 4

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Observation 2fd5567e-28aa-43ed-8483-150fb4373594 · outbound

This paper cites LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model

Reference 5

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Observation 2354d107-ef1f-44b2-b533-42a0675ed354 · outbound

This paper cites ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

Reference 6

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Observation 8f7fd90d-f4a8-4249-aa7a-035b27af55a5 · outbound

This paper cites Context-alignment: Activating and enhancing llm capabilities in time series,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Context-alignment: Activating and enhancing llm capabilities in time series,

Reference 7

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Observation dff943f6-af5b-437d-a081-592d9a24f0b5 · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 8

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Observation 4a40c8b2-2561-4530-9903-8f8d03f7c890 · outbound

This paper cites Semi-distributed network fault diagnosis based on digital twin network in highly dynamic heterogeneous networks,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Semi-distributed network fault diagnosis based on digital twin network in highly dynamic heterogeneous networks,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7fcc2035-e408-498c-817d-09a54eed8cda · outbound

This paper cites Large language model (llm) assisted end-to-end network health management based on multi-scale semanticization,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Large language model (llm) assisted end-to-end network health management based on multi-scale semanticization,

Reference 10

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Observation 5c7bce18-5069-4de6-93b1-3a8260abec45 · outbound

This paper cites Netllm: Adapting large language models for networking,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Netllm: Adapting large language models for networking,

Reference 11

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Unavailable: canonical work link unavailable.

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Observation e29f38df-818b-43cd-8dfa-52ecb6fa0ee4 · outbound

This paper cites Automatic root cause analysis via large language models for cloud incidents,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Automatic root cause analysis via large language models for cloud incidents,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 436072b5-7a49-49c9-aafa-bec647a596d3 · outbound

This paper cites Gpt4mts: Prompt- based large language model for multimodal time-series forecasting,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Gpt4mts: Prompt- based large language model for multimodal time-series forecasting,

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d1aa7e08-f9e2-4104-b861-52398c15ae0b · outbound

This paper cites Application of wireless sensor networks to aircraft control and health management systems,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Application of wireless sensor networks to aircraft control and health management systems,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f67c2c41-1108-4225-8b97-b7f1ef46e300 · outbound

This paper cites Network management in wireless sensor networks,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Network management in wireless sensor networks,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 749b291a-9e9e-431f-b7a9-76332abe6ae0 · outbound

This paper cites Detecting anomalies in space using multivariate convolutional lstm with mixtures of probabilistic pca,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Detecting anomalies in space using multivariate convolutional lstm with mixtures of probabilistic pca,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3960d235-3b28-48b1-89f6-1b9bc8cabded · outbound

This paper cites Time-series anomaly detection service at microsoft,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Time-series anomaly detection service at microsoft,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c7de7cca-3c1f-4c35-a961-83d6bfcb91d2 · outbound

This paper cites Applications of machine learning to machine fault diagnosis: A review and roadmap,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Applications of machine learning to machine fault diagnosis: A review and roadmap,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f23e67c8-dc8f-4450-9e55-d7d26b9d7a0f · outbound

This paper cites Deeplocalize: Fault localization for deep neural networks,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Deeplocalize: Fault localization for deep neural networks,

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 53d3ddc9-ae86-4a82-ba56-77c18c04e8a9 · outbound

This paper cites AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme

Reference 20

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Observation 1adb7e25-cf4b-4b06-96f1-4509bfb50c87 · outbound

This paper cites Advanced hybrid lstm-transformer architecture for real-time multi-task prediction in engineering systems,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Advanced hybrid lstm-transformer architecture for real-time multi-task prediction in engineering systems,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 04327612-5e1c-47fc-9698-ef0fd2757c76 · outbound

This paper cites Promptcast: A new prompt-based learning paradigm for time series forecasting,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Promptcast: A new prompt-based learning paradigm for time series forecasting,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f09eafc5-cd29-4698-82e5-13089f220ded · outbound

This paper cites How Can Large Language Models Understand Spatial-Temporal Data?.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis How Can Large Language Models Understand Spatial-Temporal Data?

Reference 23

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Source-reported events for the cited work

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Observation c758259b-945f-4ad2-8313-e0547416507c · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 8b22cd47-d69c-43b5-a5a7-a18d34993f8e · outbound

This paper cites Using dynamic token embedding compression to optimize inference process in large language models,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Using dynamic token embedding compression to optimize inference process in large language models,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c2fa4725-8b37-4fc3-bac5-7e661d4e1747 · outbound

This paper cites Z3: An efficient smt solver,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Z3: An efficient smt solver,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9591375d-a66a-4c80-93e2-00725bd620f0 · outbound

This paper cites Word2vec model analysis for semantic similarities in english words,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Word2vec model analysis for semantic similarities in english words,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-10T10:17:54.400742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9e37e253-b931-4e27-918c-1eba22f9e71f · outbound

This paper cites Gpt-4o: The cutting-edge advancement in multimodal llm,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Gpt-4o: The cutting-edge advancement in multimodal llm,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e33b0571-b39b-4234-9a38-f5b394804e05 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Training language models to follow instructions with human feedback,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bb274ec9-a9d4-45e1-87d7-c53e8f2be4ca · outbound

This paper cites Generative ai for game theory-based mobile networking,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Generative ai for game theory-based mobile networking,

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f39c35b6-f52c-4d5f-bfb8-7cb574834fa4 · outbound

This paper cites Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-10T10:17:54.351948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5222fe27-503e-4ffa-a2fe-f31a6153d288 · outbound

This paper cites Outage probability, performance, fairness analysis of space-air-ground integrated network (sagin): Uav altitude and position angle,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Outage probability, performance, fairness analysis of space-air-ground integrated network (sagin): Uav altitude and position angle,

Reference 32

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 14c280e7-5fa8-4c3f-a03c-04fdfcaed5bb · outbound

This paper cites Resource allocation based on optimized cellular network ap layout for visible light communication heteroge- neous network,.

Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis Resource allocation based on optimized cellular network ap layout for visible light communication heteroge- neous network,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-10T10:17:54.321413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

No inbound Pith citation observations are available.