Paper Citation Record · LEDGER

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction

As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.18353.

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

pith.paper-citation-record.v1
2607.18353 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:10:57.825041Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

26 of 26 outbound references displayed

verified exact3
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c362a8a-69bd-4092-8046-5a76d28755e5 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems 19(3), 699 -- 710 (2018).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction IEEE Transactions on Intelligent Transportation Systems 19(3), 699 -- 710 (2018)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.019137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9678f39-47a5-4011-910b-403c4feb3659 · outbound

This paper cites In: 22nd International Conference on Data Engineering (ICDE'06).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: 22nd International Conference on Data Engineering (ICDE'06)

Reference 2

Resolution: verified exact; doi, observed 2026-08-01T17:14:18.499673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3e19d4ba-f50a-4c34-a7d4-f388ef4fa559 · outbound

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

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Semi-Supervised Classification with Graph Convolutional Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.161479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb241874-e21b-42f7-97da-53a84f7e320f · outbound

This paper cites In: Proceedings of the 27th International Joint Conference on Artificial Intelligence.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: Proceedings of the 27th International Joint Conference on Artificial Intelligence

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.252160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77ef38f-399d-4d98-903d-32f9807d6a9f · outbound

This paper cites Advances in neural information processing systems 28 (2015).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Advances in neural information processing systems 28 (2015)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.345285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b7af5ce-e72a-4c25-9505-caa3886e8666 · outbound

This paper cites In: 2022 IEEE 25th International Conference on Intelligent Transpor- tation Systems (ITSC).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: 2022 IEEE 25th International Conference on Intelligent Transpor- tation Systems (ITSC)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.406664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad0b2704-b84c-415a-92e6-286207a95b20 · outbound

This paper cites Knowledge-Based Systems 286, 111406 (2024).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Knowledge-Based Systems 286, 111406 (2024)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.464101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d712dca2-4b8e-4a9a-8bf1-3ff31adef48a · outbound

This paper cites Information Sciences 697, 121767 (2025).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Information Sciences 697, 121767 (2025)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.548785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff7fdf3-6010-4ccf-b14b-9f8743b7dd95 · outbound

This paper cites In: Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 2.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 2

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.611274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c364a979-2f4d-4afa-92d5-f659be6bcf5e · outbound

This paper cites Accident Analysis & Prevention 39(4), 657--670 (2007).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Accident Analysis & Prevention 39(4), 657--670 (2007)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.685095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84d295b-c713-41b2-baee-9b248a5e02e8 · outbound

This paper cites In: 2009 international conference on measuring technology and mechatronics automation.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: 2009 international conference on measuring technology and mechatronics automation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.733040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b491b2-ba81-4b85-84a5-6db3761812a9 · outbound

This paper cites China Communications 19(2), 214 --224 (2022).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction China Communications 19(2), 214 --224 (2022)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.792782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d74e6666-4f29-4185-ae1d-8a272463beae · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems 24(4), 3779--3794 (2023).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction IEEE Transactions on Intelligent Transportation Systems 24(4), 3779--3794 (2023)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.852713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200e5ecc-aa4f-493e-a3ad-4e697bc7fcea · outbound

This paper cites Advances in neural information processing systems 30 (2017).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Advances in neural information processing systems 30 (2017)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.912933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeed8713-68c4-4cbd-9590-30591a25d9c1 · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:56.971504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8041529b-c82b-4df4-815a-6899b5a021dc · outbound

This paper cites Advances in neural information processing sys- tems 34, 22419--22430 (2021).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Advances in neural information processing sys- tems 34, 22419--22430 (2021)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:57.054831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 088b7cb5-9a30-4156-a7a3-e002c5ff7b36 · outbound

This paper cites GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:57.132622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6366f526-512e-4357-a8dd-2ff4223217f9 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:57.210317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaf6d1ec-ca76-4bad-b123-ef2d8b338bd9 · outbound

This paper cites In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:57.297641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 588bfe26-ef9c-417e-ba25-5830ab23ee70 · outbound

This paper cites In: 2008 International Symposium on Information Technology.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: 2008 International Symposium on Information Technology

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:57.378653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d97815dc-ff6a-469d-bad1-193efcdbe1a9 · outbound

This paper cites In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:57.427524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb80b0a9-9b31-490f-813b-3556eecdccab · outbound

This paper cites Neural Networks 25, 70 --83 (2012).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Neural Networks 25, 70 --83 (2012)

Reference 22

Resolution: verified exact; doi, observed 2026-08-01T17:14:18.244002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 452ad75e-44dc-458a-a03e-5219547cbb29 · outbound

This paper cites In: 2021 AAAI Con- ference on Artificial Intelligence (AAAI'21) (2021).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: 2021 AAAI Con- ference on Artificial Intelligence (AAAI'21) (2021)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:57.565868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0423f0ee-3e21-442e-8d9d-2b7943992651 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineer- ing 35(12), 12323--12336 (2023).

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction IEEE Transactions on Knowledge and Data Engineer- ing 35(12), 12323--12336 (2023)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:57.670615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4acfef4b-c768-4675-b2fd-97658b1a070b · outbound

This paper cites In: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction In: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25

Reference 25

Resolution: verified exact; doi, observed 2026-08-01T17:14:17.900066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b9dce1a4-0a81-4a37-a900-f9d9ffa26f14 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T17:10:57.825041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.