Paper Citation Record · LEDGER

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

As of 3 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2604.16859.

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

pith.paper-citation-record.v1
2604.16859 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:29:41.423636Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:10:57.132622Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact10
verified fuzzy17
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcbf38d2-c624-4576-9257-e42504ac1b90 · outbound

This paper cites Deep learning algorithms for traffic fore- casting: A comprehensive review and comparison with classical ones.Journal of Advanced Transportation, 2024(1):9981657.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Deep learning algorithms for traffic fore- casting: A comprehensive review and comparison with classical ones.Journal of Advanced Transportation, 2024(1):9981657

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.489530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 1627fe65-36fe-4cff-b488-823bba4e372e · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.259266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation dadb5ea1-7848-48c3-a35e-8c454153ceba · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Attention is all you need.Advances in Neural Information Processing Systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.486544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation dea28fb3-accc-49f4-9d9f-78ac202f9ad4 · outbound

This paper cites Gman: A graph multi-attention network for traffic prediction.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Gman: A graph multi-attention network for traffic prediction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.478016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 9fb64c73-004a-4ef0-96a6-9cabe45db424 · outbound

This paper cites Pdformer: Propagation delay-aware dy- namic long-range transformer for traffic flow prediction.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Pdformer: Propagation delay-aware dy- namic long-range transformer for traffic flow prediction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.492272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 6f699f97-a8ee-4305-bdc8-f400e960a381 · outbound

This paper cites Stae- former: Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Stae- former: Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.480776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 385c1639-91f9-48b5-b74d-e8747c575a67 · outbound

This paper cites Reformer: The Efficient Transformer.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Reformer: The Efficient Transformer

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:03.298150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 20e3af00-4ba5-4ebb-ba58-7e19ceb8b619 · outbound

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

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.256332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 0cca992a-f12d-487b-8d24-d967bbe3a8e7 · outbound

This paper cites St-mamba: Spatial-temporal mamba for traffic flow estimation recovery using limited data.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba St-mamba: Spatial-temporal mamba for traffic flow estimation recovery using limited data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.483432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 61f83dd8-fabd-49c2-a6d6-d011643f90fe · outbound

This paper cites Decomposed spatio-temporal mamba for long-term traffic predic- tion.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Decomposed spatio-temporal mamba for long-term traffic predic- tion

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.457182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 9bfcdd43-4cd0-499b-b50e-6e35c91b69b5 · outbound

This paper cites ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.253649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation e2a351d2-1b51-45bd-aa3c-d70d32de04ec · outbound

This paper cites ms-mamba: Multi-scale mamba for time-series forecasting.arXiv e-prints, pages arXiv–2504.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba ms-mamba: Multi-scale mamba for time-series forecasting.arXiv e-prints, pages arXiv–2504

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.463312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 5be730a0-86cc-4d00-a2ce-27733155eca3 · outbound

This paper cites Graph convolutional networks: a comprehensive review.Computational Social Networks, 6(1):1–23.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Graph convolutional networks: a comprehensive review.Computational Social Networks, 6(1):1–23

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.454285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation a677220f-407e-4977-8881-52915ad12edf · outbound

This paper cites Graph attention networks.stat, 1050(20):10–48550.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Graph attention networks.stat, 1050(20):10–48550

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.451029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation fac22028-d10a-408e-9782-839054375101 · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.274914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation b1598ac7-0a4f-44f4-a852-4c66a57f6bb5 · outbound

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

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.272219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation be520c7e-8baa-4a64-8166-daaba146d728 · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting.Advances in neural information processing systems, 33:17804–17815.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Adaptive graph convolutional recurrent network for traffic forecasting.Advances in neural information processing systems, 33:17804–17815

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.448138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 73ee45b8-78c4-4353-b19f-c7d0636e2aa5 · outbound

This paper cites STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.269588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation d97c8ba0-a93d-49be-b767-1462806f3252 · outbound

This paper cites SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.264440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 0a28c35b-6e55-41a9-a1ff-89b1d0460565 · outbound

This paper cites Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.472188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 4e17cee4-6146-4b3b-bafb-6cdbc42fc289 · outbound

This paper cites Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.469222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c29dc929-a2c6-4702-8ed6-6c915f9ce448 · outbound

This paper cites St-norm: Spatial and temporal nor- malization for multi-variate time series forecasting.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba St-norm: Spatial and temporal nor- malization for multi-variate time series forecasting

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.466464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation e0adfb3e-ffc4-4432-869f-b3530f13c53a · outbound

This paper cites Discrete Graph Structure Learning for Forecasting Multiple Time Series.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Discrete Graph Structure Learning for Forecasting Multiple Time Series

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.261889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 887f52ae-8d4c-4a35-ac31-77ddf2a84c49 · outbound

This paper cites Connecting the dots: Multivariate time series forecasting with graph neural networks.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Connecting the dots: Multivariate time series forecasting with graph neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.460296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 894f59f5-dd5d-4875-b9be-2044da612237 · outbound

This paper cites Spatio-temporal graph mixformer for traffic forecasting.Expert systems with applications, 228:120281.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Spatio-temporal graph mixformer for traffic forecasting.Expert systems with applications, 228:120281

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.475211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation a76b5e12-ae6e-48b7-a15e-d0d175113a28 · outbound

This paper cites Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.266910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation fc0df409-317d-4379-a519-79f30c8b594e · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11).

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Visualizing data using t-sne.Journal of machine learning research, 9(11)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:25:12.444464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Pith citing papers

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

MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction cites this paper.

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.