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Paper Citation Record · LEDGER

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2507.02018.

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

pith.paper-citation-record.v1
2507.02018 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:50:19.548606Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:43:59.697979Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:56:04.414864Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04750b68-83a6-434a-ab74-1d48825b7649 · outbound

This paper cites The Journal of Finance and Data Science4(2), 120–137 (2018).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction The Journal of Finance and Data Science4(2), 120–137 (2018)

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1b0e0c1a-3e69-4c10-a80a-d8bbd9f0e5d5 · outbound

This paper cites Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking

Reference 2

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7065c75a-b082-420d-81b6-4907cea3c9d0 · outbound

This paper cites Journal of Computational Science 2(1), 1–8 (2011).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Journal of Computational Science 2(1), 1–8 (2011)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:23.669157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ceb9a99f-eeac-49e6-9bb5-dc5869175081 · outbound

This paper cites The Journal of finance 52(1), 57–82 (1997).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction The Journal of finance 52(1), 57–82 (1997)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:23.501786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6e022299-26c9-4f42-9390-e7aea251df0a · outbound

This paper cites In: Proceedings of the 27th ACM international conference on information and knowledge management.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction In: Proceedings of the 27th ACM international conference on information and knowledge management

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:23.359894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:50:17.710015Z digest=sha256:f307b1f7e497430aac1dbad3ec43cec557640e6934d088854f1c0a89cb3bf0ca

Observation 1874d706-2a03-40dd-8bc7-130a5458d632 · outbound

This paper cites an unresolved cited work.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Unresolved cited work

Reference 6

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 02b9dff2-5f83-45d7-965b-f5d7f853665b · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:17.906788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:17.906788Z digest=sha256:004565f23e7319a5919cb7d36d6c84f3c19243ed5c4251a94301d01ed82265ce

Observation bb8c38f1-f0f4-492e-8c82-5fba454011cf · outbound

This paper cites Journal of Financial Econometrics7(2), 174–196 (2009).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Journal of Financial Econometrics7(2), 174–196 (2009)

Reference 8

Resolution
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raw_fallback, observed 2026-08-06T20:50:23.084019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d481e471-5c7d-4e6e-a94f-49ae7d8e15de · outbound

This paper cites Risks9(2) (2021).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Risks9(2) (2021)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.973467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:50:18.065753Z digest=sha256:bd8ed9608b4b7a5bf085b219e5dd32a8a6a55cd35f347a5d030e1f3bc07af700

Observation d4c7eeb9-2154-43d3-a2e7-a76546191f5b · outbound

This paper cites The Journal of Finance48(5), 1749–1778 (1993).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction The Journal of Finance48(5), 1749–1778 (1993)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.823765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9178ef09-a88c-480b-90f2-ec0a30db1ec1 · outbound

This paper cites Journal of financial economics 116(1), 1–22 (2015).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Journal of financial economics 116(1), 1–22 (2015)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.692359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e2c480bc-7fab-4b98-a85e-6e200f94b189 · outbound

This paper cites ACM Transactions on Information Systems (TOIS) 37(2), 1–30 (2019).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction ACM Transactions on Information Systems (TOIS) 37(2), 1–30 (2019)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.561837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:50:18.294413Z digest=sha256:d085481f84d99d60a816ccfc0050d22e840032f2bb4088a8553673d6af710cdf

Observation b3b2b001-d396-4f70-b0d7-e70cb7c831c1 · outbound

This paper cites In: Proceedings of the thirteenth international conference on ar- tificial intelligence and statistics.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction In: Proceedings of the thirteenth international conference on ar- tificial intelligence and statistics

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:18.388991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:18.388991Z digest=sha256:580163c04f5df5f844a91713f5cdcbdd75212dd3d7f324db771e556b993c5c37

Observation 21addd0d-17c5-4de5-b955-d3f3b536a392 · outbound

This paper cites Neural Computing and Applications32, 9713–9729 (2020).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Neural Computing and Applications32, 9713–9729 (2020)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.391640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:50:18.485506Z digest=sha256:fdbf6bcf76d6a6d53fb878c05c806f3d61bb82b5a048812a33f718e9453bbf0d

Observation 04c56326-7d3c-4915-9d22-25556a5ea5ea · outbound

This paper cites Expert Systems with Applications 103, 25–37 (2018) 12 Yingjie Niu , Mingchuan Zhao, Valerio Poti, and Ruihai Dong.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Expert Systems with Applications 103, 25–37 (2018) 12 Yingjie Niu , Mingchuan Zhao, Valerio Poti, and Ruihai Dong

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.285146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3f8f5622-0a15-49c6-a7ae-8f6e99412d25 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Adam: A Method for Stochastic Optimization

Reference 16

Resolution
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no resolver link, observed 2026-08-06T20:50:18.642617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 823880a4-34e6-4b34-995c-51265b95777c · outbound

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

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Semi-Supervised Classification with Graph Convolutional Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:18.716939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:18.716939Z digest=sha256:833ccf8727e813ab3f4d24699b5c6670d17d1ef888aaf1dd95f2b49636ecf1b2

Observation 558dfcf3-bd40-4221-a78f-117018b89502 · outbound

This paper cites ACM Transactions on Information Systems (TOIS) 34(2), 1–30 (2016).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction ACM Transactions on Information Systems (TOIS) 34(2), 1–30 (2016)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.077427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7a7e384e-30a8-4b4b-888a-580e1dec8da6 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering 33(10), 3323–3337 (2020).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction IEEE Transactions on Knowledge and Data Engineering 33(10), 3323–3337 (2020)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:21.877914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 14a262b7-60d8-492f-ae1b-3431bc9abf32 · outbound

This paper cites an unresolved cited work.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:50:21.680067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 95624c2f-1446-47d7-b45a-f773694cf4c1 · outbound

This paper cites an unresolved cited work.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:50:21.500358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ee483eea-3814-4f36-93c3-7c9ec8300311 · outbound

This paper cites Econometrica 59(2), 347–370 (1991).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Econometrica 59(2), 347–370 (1991)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:21.261814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 48390aae-455f-403a-bab2-db64df1a5963 · outbound

This paper cites In: Proceedings of the 5th ACM Interna- tional Conference on AI in Finance.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction In: Proceedings of the 5th ACM Interna- tional Conference on AI in Finance

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.981051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6d98161c-6a99-4070-88b8-38ef67f674f2 · outbound

This paper cites Journal of financial economics22(1), 27–59 (1988).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Journal of financial economics22(1), 27–59 (1988)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.796733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6cb7fb34-e3d8-4c87-92ca-f1e3aded415c · outbound

This paper cites In: 2017 inter- national conference on advances in computing, communications and informatics (icacci).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction In: 2017 inter- national conference on advances in computing, communications and informatics (icacci)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.649208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f514e340-b45b-4ef8-b61f-cae2eb6cf011 · outbound

This paper cites In: 2022 IEEE International Conference on Big Data (Big Data).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction In: 2022 IEEE International Conference on Big Data (Big Data)

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.490736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1bacb43e-bea0-49b2-b035-5a241c60a18f · outbound

This paper cites In: 2020 2nd novel intelligent and leading emerging sciences conference (NILES).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction In: 2020 2nd novel intelligent and leading emerging sciences conference (NILES)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.247085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:50:19.295944Z digest=sha256:d7625777a60a0d957b71f330942342418a38f6424c7845d53388f434e2740442

Observation 457ebb80-7b5b-4801-8fe1-723b8e97ae55 · outbound

This paper cites Graph Attention Networks.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Graph Attention Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:19.347191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:19.347191Z digest=sha256:bbe9fcbb8b67309479e2c85c9b9cdf1fa35f34430a7cf4b87d6646e62a493ff0

Observation a7b327b5-6e7b-48dd-b3fd-c3dea1185195 · outbound

This paper cites In: Proceedings of the 31st ACM international conference on information & knowledge management.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction In: Proceedings of the 31st ACM international conference on information & knowledge management

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.094348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:50:19.404591Z digest=sha256:bf3b7d2eeefa7d748e20714281b7537d05fb041e11b90b1372f4771349332782

Observation 431b42a8-4888-47d6-a7e7-40027a8cf004 · outbound

This paper cites Information Sciences607, 783–798 (2022).

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Information Sciences607, 783–798 (2022)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.970098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:50:19.450922Z digest=sha256:5e414a2a290fcc818042582bdcd9f3f01dc5bba70b6f336a9717edd0a92d90e6

Observation 889cf779-ce5e-4bad-9ef7-bca244f2dfa0 · outbound

This paper cites In: Gurevych, I., Miyao, Y.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction In: Gurevych, I., Miyao, Y

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.862973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:50:19.505680Z digest=sha256:335b95e1479cf458d92a1708b276b5002d9f3922640bfbdc9ad30f930f824817

Observation cafa46ab-d292-418b-9534-95ea9fcff23c · outbound

This paper cites an unresolved cited work.

NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction Unresolved cited work

Reference 1979

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:50:19.750984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:50:19.548606Z digest=sha256:5a6d09376c065b9b8151cd1db71e823156fa5b25699bbe195567d64f0ea1d3bb

Pith citing papers

Observation 43194ccb-9bdc-4999-b017-b454c9e4f1e5 · inbound

Relational Probing: LM-to-Graph Adaptation for Financial Prediction cites this paper.

Relational Probing: LM-to-Graph Adaptation for Financial Prediction NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:56:04.420565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:43:59.697979Z digest=sha256:0adfccf24a738879402abd2505e29e4c7451e3f7669165ff52f208a5feb016d3