Paper Citation Record · LEDGER

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2509.01997.

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

pith.paper-citation-record.v1
2509.01997 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:03:18.249897Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

verified exact0
verified fuzzy11
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e512f60-b4ca-43ff-b9b8-69aea6ac7307 · outbound

This paper cites Computers & industrial engineering143, 106435 (2020).

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting Computers & industrial engineering143, 106435 (2020)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.554262Z

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.

Observation 8a3b3af2-ae49-49b3-ae49-fa51f1b5edfb · outbound

This paper cites In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T12:03:18.179309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e500c0-7cc3-4d60-b201-3b2051e940b1 · outbound

This paper cites Journal of Tourism Futures5(1), 75–93 (2019).

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting Journal of Tourism Futures5(1), 75–93 (2019)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.527009Z

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.

Observation 8087ed37-5d62-4b5c-81af-305d54f14eb6 · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T12:03:18.188712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 262e6862-0521-438b-a2fe-10a1aa8c6d43 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering34(11), 5415–5428 (2021).

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting IEEE Transactions on Knowledge and Data Engineering34(11), 5415–5428 (2021)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.508341Z

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.

Observation 28a4f987-c872-48f6-a559-0536a0c6d3bf · outbound

This paper cites SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T12:03:18.320629Z

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.

Observation b4b49c5f-cb31-4100-b9e7-2af7d3d443ed · outbound

This paper cites Information Sciences588, 315–330 (2022).

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting Information Sciences588, 315–330 (2022)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.491442Z

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.

Observation 8fdce19b-08e8-4593-8840-f83ea9854f86 · outbound

This paper cites Neurocomputing510, 79–94 (2022).

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting Neurocomputing510, 79–94 (2022)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.476250Z

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.

Observation 1ee14e5a-7657-42b9-ba01-a3fc5bbfe021 · outbound

This paper cites In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T12:03:18.215874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11fbb16b-d7fc-4bc8-a4d8-ee36f7325449 · outbound

This paper cites In: The Tenth International Conference on Learning Representa- tions, ICLR 2022, Virtual Event, April 25-29, 2022.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting In: The Tenth International Conference on Learning Representa- tions, ICLR 2022, Virtual Event, April 25-29, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.450277Z

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.

Observation 61828107-acad-48c8-bceb-d638ede8df0d · outbound

This paper cites Proceedings of the VLDB Endowment15(11), 2733–2746 (2022).

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting Proceedings of the VLDB Endowment15(11), 2733–2746 (2022)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.432399Z

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.

Observation ffeaaca9-4e89-4661-8324-d6ad216a52e7 · outbound

This paper cites Information Sciences 479, 214–230 (2019).

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting Information Sciences 479, 214–230 (2019)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.412457Z

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.

Observation cd3fcd3c-f9a8-48e9-9d1d-bf823e786de2 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems 23(9), 16137–16147 (2022).

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting IEEE Transactions on Intelligent Transportation Systems 23(9), 16137–16147 (2022)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.395519Z

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.

Observation 136e28a8-82e8-433d-acf9-88c97b4a9749 · outbound

This paper cites In: Proceedings of the web conference 2020.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting In: Proceedings of the web conference 2020

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.378207Z

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.

Observation 2c52aa7a-9c3a-478c-b33e-587fd9a90921 · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T12:03:18.244752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b17854ab-167c-4fa3-8de6-d3db605eb8b0 · outbound

This paper cites In: Proceed- ings of the AAAI conference on artificial intelligence.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting In: Proceed- ings of the AAAI conference on artificial intelligence

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:18.358935Z

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.

Pith citing papers

No inbound Pith citation observations are available.