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Paper Citation Record · LEDGER

Stock Type Prediction Model Based on Hierarchical Graph Neural Network

As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 5 inbound Pith citation observations for arXiv:2412.06862.

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

pith.paper-citation-record.v1
2412.06862 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:53:05.148118Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:18:29.546350Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:55:04.220859Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact8
  • verified fuzzy14
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd4418a8-505f-4db9-bfe7-e5c00b68b1dd · outbound

This paper cites Among them, the historical stock sequence data includes daily frequency historic al trading data and high -frequency minute -level trading data for special fluctuation stocks.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Among them, the historical stock sequence data includes daily frequency historic al trading data and high -frequency minute -level trading data for special fluctuation stocks

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6df38b4e-eaa2-49af-9c44-3c4f975d7452 · outbound

This paper cites an unresolved cited work.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 67adce69-6879-429c-8b1f-f8fbe3e21c9d · outbound

This paper cites K., Adekoya, A.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network K., Adekoya, A

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9f13d5c9-d56e-40ce-9336-76e008e66e5f · outbound

This paper cites Multi-scale two-way deep neural network for stock trend prediction[C]//Proceedings of the International Conference on International Joint Conferences on Artificial Intelligence.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Multi-scale two-way deep neural network for stock trend prediction[C]//Proceedings of the International Conference on International Joint Conferences on Artificial Intelligence

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9867eef6-35af-43fa-892d-4220df2603c6 · outbound

This paper cites U., & Shukla, P.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network U., & Shukla, P

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a8881683-d50d-4ca1-9eeb-6d336b5d8255 · outbound

This paper cites an unresolved cited work.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7409e9a6-0e82-45c6-b76c-bf59652564f9 · outbound

This paper cites GCNET: graph -based prediction of stock price movement using graph convolutional network[J].

Stock Type Prediction Model Based on Hierarchical Graph Neural Network GCNET: graph -based prediction of stock price movement using graph convolutional network[J]

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b92f58c1-787a-45e5-b025-889805d735a2 · outbound

This paper cites (2024, March).

Stock Type Prediction Model Based on Hierarchical Graph Neural Network (2024, March)

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 27738dfb-aa3b-4212-a65d-e2c245a708b4 · outbound

This paper cites A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods

Reference 9

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local_arxiv, observed 2026-08-11T19:53:05.373217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0d586aa7-145f-401a-a8c1-28d81b7798f7 · outbound

This paper cites an unresolved cited work.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5912ee19-7108-45a7-870e-0465bd5b31ce · outbound

This paper cites an unresolved cited work.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 840bc954-ce3d-4bb2-bed9-ff1d6a415174 · outbound

This paper cites Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology

Reference 12

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local_arxiv, observed 2026-08-11T19:53:05.350519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 551b8b89-4e13-4883-8780-ba2f3d1ae47b · outbound

This paper cites Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning

Reference 13

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local_arxiv, observed 2026-08-11T19:53:05.327760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:53:05.079645Z digest=sha256:c4bc3d140fcbc2f7c030231ed7da7ba274a8ed7e7ee220dba30104b040c1c10a

Observation b9378833-ab4e-479b-b4a0-b43f7b8b46ec · outbound

This paper cites Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique

Reference 14

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local_arxiv, observed 2026-08-11T19:53:05.306025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 541d2f9e-1c20-4184-a959-d1b8cdc39e23 · outbound

This paper cites Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits

Reference 15

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local_arxiv, observed 2026-08-11T19:53:05.282570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7def11e5-6f2f-47bb-99ab-c2c14fae1914 · outbound

This paper cites Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis

Reference 16

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verified exact
local_arxiv, observed 2026-08-11T19:53:05.260997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:53:05.095149Z digest=sha256:8f4dd9f931f6fd9608b0321a606040c34bd36b71fa4a77d9ff8e16ae0b2eaff4

Observation d61ddd1c-566d-4127-ac15-fb5afbe7d4f6 · outbound

This paper cites (2024, May).

Stock Type Prediction Model Based on Hierarchical Graph Neural Network (2024, May)

Reference 17

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raw_fallback, observed 2026-08-11T19:53:05.507368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:53:05.099948Z digest=sha256:bd20a1b66455a8daaf9c52f70d6b0d1a0194c4ef11cbad3115cb116966f1512f

Observation 1fd17a2f-4025-4e36-8f52-ae9bf80ee0bb · outbound

This paper cites Application of Multimodal Fusion Deep Learning Model in Disease Recognition.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Application of Multimodal Fusion Deep Learning Model in Disease Recognition

Reference 18

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local_arxiv, observed 2026-08-11T19:53:05.238713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:53:05.104487Z digest=sha256:6ca27007e7e715e123e090aedcb9cde18c54287385f9035bba058e849fbd9f53

Observation 292409c3-de93-4e8e-b5db-be7c1cc82b3d · outbound

This paper cites Enhancing financial risk management through lstm and extreme value theory: A high- frequency trading volume approach,.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Enhancing financial risk management through lstm and extreme value theory: A high- frequency trading volume approach,

Reference 19

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raw_fallback, observed 2026-08-11T19:53:05.489400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 03fce398-d201-452a-91c0-0b178b917920 · outbound

This paper cites Recurrent neural network from adder’s perspective: Carry -lookahead RNN,.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Recurrent neural network from adder’s perspective: Carry -lookahead RNN,

Reference 20

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raw_fallback, observed 2026-08-11T19:53:05.472733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e65b593e-656e-4495-9b42-1616310a55f1 · outbound

This paper cites Advanced Financial Fraud Detection Using GNN-CL Model.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Advanced Financial Fraud Detection Using GNN-CL Model

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 662e89e7-7a7f-4e68-b68f-42d71e9028cf · outbound

This paper cites The FacT: Taming Latent Factor Models for Explainability with Factorization Trees,.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network The FacT: Taming Latent Factor Models for Explainability with Factorization Trees,

Reference 22

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raw_fallback, observed 2026-08-11T19:53:05.456713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7c9926b0-e678-4dca-9764-4ad5753c8080 · outbound

This paper cites Analyze the impact of the epidemic on New York taxis by machine learning algorithms and recommendations for optimal prediction algorithms,.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Analyze the impact of the epidemic on New York taxis by machine learning algorithms and recommendations for optimal prediction algorithms,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 233f18f0-5232-4d12-a613-2800c2818263 · outbound

This paper cites Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks.

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks

Reference 24

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local_arxiv, observed 2026-08-11T19:53:05.199437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation dbb9b1c9-93c9-459d-bd32-131a0c24ee1b · outbound

This paper cites (2023, November).

Stock Type Prediction Model Based on Hierarchical Graph Neural Network (2023, November)

Reference 25

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raw_fallback, observed 2026-08-11T19:53:05.423853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2cc42733-ea80-494c-b4df-523d76098363 · outbound

This paper cites (2023, July).

Stock Type Prediction Model Based on Hierarchical Graph Neural Network (2023, July)

Reference 26

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raw_fallback, observed 2026-08-11T19:53:05.407117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation adce24fb-bb0b-4164-ada8-efa1069fd96b · outbound

This paper cites Meta Learning Enabled Adversarial Defense, 2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE).

Stock Type Prediction Model Based on Hierarchical Graph Neural Network Meta Learning Enabled Adversarial Defense, 2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE)

Reference 27

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raw_fallback, observed 2026-08-11T19:53:05.389682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

Observation ede5d10b-3861-445d-8abb-12c44abf9f10 · inbound

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining cites this paper.

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining Stock Type Prediction Model Based on Hierarchical Graph Neural Network

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:18:29.546350Z digest=sha256:c5149cabe6d29c0b3de02f3c92aec30bbd04c1dc47d36dacfdf89852b5eeb9e6

Observation 8a4fda39-d4ac-4cd6-9d50-374da3807795 · inbound

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments cites this paper.

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments Stock Type Prediction Model Based on Hierarchical Graph Neural Network

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1d9f1213-2c4a-4623-aec3-47d7860429d9 · inbound

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications cites this paper.

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications Stock Type Prediction Model Based on Hierarchical Graph Neural Network

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:57:17.511389Z digest=sha256:737374be151741e62439ccfc33b661a80f498bfe13a1bcaed8d1edc421f86750

Observation 4d96a41d-8ce4-4f59-861f-1765a46bb8e7 · inbound

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets cites this paper.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Stock Type Prediction Model Based on Hierarchical Graph Neural Network

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:39:35.491963Z digest=sha256:fb141601b33c8dc0fbc715b03d679d32051a3b20ed3ac6e614638cd62c639134

Observation b4dca449-a5f8-4993-bf80-d1994f8fbee6 · inbound

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models cites this paper.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Stock Type Prediction Model Based on Hierarchical Graph Neural Network

Reference 15

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verified exact
local_arxiv, observed 2026-08-10T14:55:04.225116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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