Paper Citation Record · LEDGER

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 7 inbound Pith citation observations for arXiv:1908.07999.

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

pith.paper-citation-record.v1
1908.07999 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:47:33.544863Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:55:24.012594Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:55:45.367717Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy23
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67b62459-7b58-4950-866a-c3bb090bd54e · outbound

This paper cites Comparison of arimaandartiﬁcialneuralnetworksmodelsforstockpriceprediction.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Comparison of arimaandartiﬁcialneuralnetworksmodelsforstockpriceprediction

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:34.067576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eec9736e-9d33-4c0f-a89b-4a973ebb3d2e · outbound

This paper cites State-of-the-art in stock prediction techniques.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction State-of-the-art in stock prediction techniques

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:34.052079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 603dc3fa-e918-40d6-a9a4-d854015e3d73 · outbound

This paper cites A deep learning framework for ﬁ- nancial time series using stacked autoencoders and long-short term memory.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction A deep learning framework for ﬁ- nancial time series using stacked autoencoders and long-short term memory

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:34.036813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 798b5756-c6ba-4ed8-8130-1f187ca6de8e · outbound

This paper cites Twitter mood predicts the stock market.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Twitter mood predicts the stock market

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:34.019529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2571a8a0-452e-4490-b123-16470d52bb3a · outbound

This paper cites Stock return pre- dictability and variancerisk premia: statistical inference and interna- tional evidence.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Stock return pre- dictability and variancerisk premia: statistical inference and interna- tional evidence

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:34.003915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1231527a-afa6-4120-82e1-130c9c5c741d · outbound

This paper cites FastGCN:Fastlearningwithgraph convolutional networks via importance sampling, in: International Conference on Learning Representations.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction FastGCN:Fastlearningwithgraph convolutional networks via importance sampling, in: International Conference on Learning Representations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.988356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c446ca0-4562-4f5d-ad55-25a3d17c88ca · outbound

This paper cites an unresolved cited work.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:47:33.972050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab45d142-c449-42c8-b81b-f37c377ad385 · outbound

This paper cites Journal of Financial Economics 61, 77–106.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Journal of Financial Economics 61, 77–106

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.955049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ca8ba17-86b5-4af1-ac58-0a38a28c9452 · outbound

This paper cites Computational learning techniques for intraday fx trading using pop- ular technical indicators.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Computational learning techniques for intraday fx trading using pop- ular technical indicators

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.939988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8cd42494-43bc-418e-b49d-ef5c6bd01f36 · outbound

This paper cites Deeplearningforevent- driven stock prediction, in: Twenty-Fourth International Joint Con- ference on Artiﬁcial Intelligence.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Deeplearningforevent- driven stock prediction, in: Twenty-Fourth International Joint Con- ference on Artiﬁcial Intelligence

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.923579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83dd96ae-b480-410e-97f4-e2c7149b779d · outbound

This paper cites Knowledge-driven event embedding for stock prediction, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguis- tics: Technical Papers, pp.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Knowledge-driven event embedding for stock prediction, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguis- tics: Technical Papers, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.907203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d99b423-81d1-48ba-a455-b619b3db3c82 · outbound

This paper cites an unresolved cited work.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:47:33.891701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bae8c30a-1daa-44ef-9da4-b92008c232a5 · outbound

This paper cites Tem- poral relational ranking for stock prediction.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Tem- poral relational ranking for stock prediction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.876795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 98b84014-0c61-41fa-9cbc-5ad2d5616a68 · outbound

This paper cites Deep learning with long short-term memorynetworksforﬁnancialmarketpredictions.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Deep learning with long short-term memorynetworksforﬁnancialmarketpredictions

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.861189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 34e1d910-a341-46d8-965e-83dd609d674e · outbound

This paper cites an unresolved cited work.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:47:33.844820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b216c94-e997-4324-bddc-757ae7354ee6 · outbound

This paper cites Inductive representation learning on large graphs, in: Advances in Neural Information Pro- cessing Systems, pp.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Inductive representation learning on large graphs, in: Advances in Neural Information Pro- cessing Systems, pp

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.811318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ef97c94-00c2-4d4f-8bf1-b95428edd2f0 · outbound

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

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Semi-Supervised Classification with Graph Convolutional Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T14:47:33.481621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a133c0c4-7db3-4ce1-a550-cdd24a9479ec · outbound

This paper cites Imagenet clas- siﬁcation with deep convolutional neural networks, in: Advances in neural information processing systems, pp.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Imagenet clas- siﬁcation with deep convolutional neural networks, in: Advances in neural information processing systems, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.795063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f9d97d0-305d-4feb-8092-a4d1d41dda9b · outbound

This paper cites Self-Attention Graph Pooling.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Self-Attention Graph Pooling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T14:47:33.491872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba1e937c-163f-4b41-99c5-e1e89f3a1fef · outbound

This paper cites News impact on stock price return via sentiment analysis.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction News impact on stock price return via sentiment analysis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.779180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91926bcf-cc26-441d-ab48-cfa71bb55bce · outbound

This paper cites The eﬃcient market hypothesis and its critics.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction The eﬃcient market hypothesis and its critics

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.762022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3d720d0-43cd-4cd9-8f29-c0c76d7bcd0c · outbound

This paper cites Predicting stock andstockpriceindexmovementusingtrenddeterministicdataprepa- ration and machine learning techniques.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Predicting stock andstockpriceindexmovementusingtrenddeterministicdataprepa- ration and machine learning techniques

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.743137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d153a631-9821-4850-a7c3-3038834b18fd · outbound

This paper cites Stock return fore- casting: somenewevidence.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Stock return fore- casting: somenewevidence

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.724798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e2ade2f4-6ab7-4cf8-a7be-465d88c16dd8 · outbound

This paper cites Recurrent neural net- work and a hybrid model for prediction of stock returns.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Recurrent neural net- work and a hybrid model for prediction of stock returns

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.707309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 97bf3ee8-d119-4e14-af2d-bab6c4005e6d · outbound

This paper cites Graph Attention Networks.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Graph Attention Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T14:47:33.524544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e62d1cf-7069-424a-928e-254d90e11564 · outbound

This paper cites Wikidata: a free collaborative knowledge base.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Wikidata: a free collaborative knowledge base

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.689599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64eedbab-610d-4cc9-85ff-af9d1a572b3f · outbound

This paper cites Graph convolutional neural networks for web- scale recommender systems, in: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Graph convolutional neural networks for web- scale recommender systems, in: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.671218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82bc02c4-4345-497e-b74a-e61535b8081d · outbound

This paper cites Hierarchicalgraphrepresentationlearningwithdiﬀerentiable pooling,in: AdvancesinNeuralInformationProcessingSystems,pp.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Hierarchicalgraphrepresentationlearningwithdiﬀerentiable pooling,in: AdvancesinNeuralInformationProcessingSystems,pp

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.652988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b0095c69-34ef-41e3-a146-8ae07604e922 · outbound

This paper cites replaces.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction replaces

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:47:33.635745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9334deb7-e81e-4c81-8ad8-5015772bffb8 · outbound

This paper cites an unresolved cited work.

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:47:33.828230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation e0f090d3-a00e-4dc4-a324-c19813685fad · inbound

Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations cites this paper.

Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:24.012594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91f8f55f-11f0-4b39-8193-85751da7767b · inbound

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data cites this paper.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:56:15.562132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16451bb6-d5e1-472f-b0fa-63764846096e · inbound

From Votes to Volatility Predicting the Stock Market on Election Day cites this paper.

From Votes to Volatility Predicting the Stock Market on Election Day HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:28.136506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cae60cc-03aa-4550-8c8e-57b0aff2e4d7 · inbound

Pre-training Time Series Models with Stock Data Customization cites this paper.

Pre-training Time Series Models with Stock Data Customization HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:35.774898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c709193e-aaaa-44d1-83fd-6bc125143185 · inbound

Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs cites this paper.

Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:16:12.850001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c92c3a5-4301-4790-9923-d57e8a2df596 · inbound

Game-Theoretic Modeling of Heterogeneous Investor Interactions for Stock Price Forecasting cites this paper.

Game-Theoretic Modeling of Heterogeneous Investor Interactions for Stock Price Forecasting HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:55:45.369150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b4cf8da-c05c-496c-bc2a-2bc618ea300b · inbound

LLM-Enhanced Dynamic Financial Knowledge Graphs for Cross-Entity Signal Propagation and alpha discovery cites this paper.

LLM-Enhanced Dynamic Financial Knowledge Graphs for Cross-Entity Signal Propagation and alpha discovery HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T08:13:38.894338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.