Paper Citation Record · LEDGER

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series

As of 18 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.09439.

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

pith.paper-citation-record.v1
2507.09439 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:03:03.985179Z

measured 19 of 19 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 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

19 of 19 outbound references displayed

verified exact0
verified fuzzy16
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19f7fb7b-19ff-4ab2-ad9f-a3809a247af4 · outbound

This paper cites In: Applied Intelligence, 54, 4911-4934 (2024).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: Applied Intelligence, 54, 4911-4934 (2024)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.170236Z

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 c4a91b05-ac5d-41ea-bcfc-7817e532494c · outbound

This paper cites In: AAAI Conference on Artificial Intelligence, (2015).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: AAAI Conference on Artificial Intelligence, (2015)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.162428Z

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 1355e9cd-9e17-4bcd-a6e5-546ed01a0469 · outbound

This paper cites In: ACM Transactions on Intelligent Systems and Technology (TIST), 8, 1-28 (2017).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: ACM Transactions on Intelligent Systems and Technology (TIST), 8, 1-28 (2017)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.154176Z

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 0eaee67e-9851-44ad-ba21-8091e65aaba7 · outbound

This paper cites In: Proceed- ings of the 2019 Conference on Neural Information Processing Systems (NeurIPS), 766-776 (2019).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: Proceed- ings of the 2019 Conference on Neural Information Processing Systems (NeurIPS), 766-776 (2019)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.145776Z

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 0ead07d3-cdd9-44f5-89a2-5961097a54fe · outbound

This paper cites In: Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS), 6000-6010 (2017).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS), 6000-6010 (2017)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.137362Z

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 2cbd80b7-669d-4e81-9788-103e4eacf087 · outbound

This paper cites In: ICST Transactions on Scalable Information Systems, (2024).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: ICST Transactions on Scalable Information Systems, (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.128855Z

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 adcc9033-8d91-4d3d-87c7-087cc89f694c · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:03:03.953281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7cada4-1b39-4c5c-a42a-ab43d9c10c94 · outbound

This paper cites In: WISE,https://api.semanticscholar.org/CorpusID:277382252 (2024).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: WISE,https://api.semanticscholar.org/CorpusID:277382252 (2024)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.120709Z

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 fc0d0178-be41-461a-ab8d-6aeed7a61035 · outbound

This paper cites an unresolved cited work.

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:03:04.112338Z

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 bacaed21-c2e5-46cd-95d9-baf01efa8293 · outbound

This paper cites In: Nature Communi- cations, 10, 2553 (2019).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: Nature Communi- cations, 10, 2553 (2019)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.104435Z

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 6c8a401e-b577-4075-b13c-fa78d0897011 · outbound

This paper cites In: Proceedings of the 2023 Conference on Uncertainty in Artificial Intelligence (UAI), 766-776 (2023).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: Proceedings of the 2023 Conference on Uncertainty in Artificial Intelligence (UAI), 766-776 (2023)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.095580Z

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 dc7b203d-2a4b-4c3f-8f92-98ab2e3e380e · outbound

This paper cites In: 2023 IEEE International Conference on Data Mining (ICDM), 1433-1438 (2023).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: 2023 IEEE International Conference on Data Mining (ICDM), 1433-1438 (2023)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.087543Z

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 4b7c598e-4828-4df3-bf33-d29e6d3e774a · outbound

This paper cites In: Proceedings of the 2020 IEEE International Conference on Data Mining (ICDM), 972-977 (2020).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: Proceedings of the 2020 IEEE International Conference on Data Mining (ICDM), 972-977 (2020)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.078194Z

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 e2209fe0-eaab-4a72-af78-44f03fcbfe2e · outbound

This paper cites In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 596-605 (2021).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 596-605 (2021)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.068844Z

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 626ec46c-a59b-47b5-8dbc-24ce449cc2e3 · outbound

This paper cites In: Information Sciences, 285, 204-222 (2014).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: Information Sciences, 285, 204-222 (2014)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.060255Z

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 00f76e18-e6d4-44c3-925a-2e5cbc6d1f4d · outbound

This paper cites In: IEEE Transactions on Knowledge and Data Engineering, 37, 102-115 (2024).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: IEEE Transactions on Knowledge and Data Engineering, 37, 102-115 (2024)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.051199Z

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 e377155d-11ba-498e-9a98-212baf0c5775 · outbound

This paper cites Causality-Aware Transformer Networks for Robotic Navigation.

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series Causality-Aware Transformer Networks for Robotic Navigation

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:03:04.015624Z

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 8ed48e3c-a963-4145-8a85-5e2480714bc1 · outbound

This paper cites In: Cambridge University Press (2013).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: Cambridge University Press (2013)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.042936Z

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 b0c7b033-3920-4871-aa66-2b2272a9a0e2 · outbound

This paper cites In: NeuroImage, 54, 875-891 (2011).

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series In: NeuroImage, 54, 875-891 (2011)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:03:04.034103Z

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

No inbound Pith citation observations are available.