Pith. sign in

Paper Citation Record · LEDGER

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting

As of 17 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2412.13607.

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

pith.paper-citation-record.v1
2412.13607 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:01:40.022567Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

59 of 59 outbound references displayed

  • verified exact4
  • verified fuzzy46
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25c90d32-0ebd-400d-80e7-8fabc9464115 · outbound

This paper cites Urban computing: concepts, methodologies, and applications,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Urban computing: concepts, methodologies, and applications,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.748210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.816052Z digest=sha256:720993705d46cb3d0b44ebbbe60da735ad7fb37f09c0851d0e6ccea4ee55841a

Observation 9424ef54-57b5-4f05-be5e-a192b145ea54 · outbound

This paper cites Deep learning for short-term traffic flow prediction,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Deep learning for short-term traffic flow prediction,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.738517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.820587Z digest=sha256:eeaa31e20442be789d5264a608ec1e978eb6aac3b0c36f3445bdf8d53f1d8b36

Observation 4d9202e8-cbf5-4d99-a976-762d9b123892 · outbound

This paper cites Travel-time prediction with sup- port vector regression,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Travel-time prediction with sup- port vector regression,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.728706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.824773Z digest=sha256:c8b00a561bc11194f82db03d8134d148238fb135e3b0859fc546371c39f2ff3b

Observation 2430a3d6-4830-44c2-a2fe-3fdb81e9e2db · outbound

This paper cites A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.719089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.829178Z digest=sha256:53f6cb422c02c74856f5470973ad9d81eadee0ae2fdce9b136c42a099b9a3eac

Observation 7f93a900-87ab-4b32-aa26-c6e76c9d6375 · outbound

This paper cites Long short-term memory neural network for traffic speed prediction using remote microwave sensor data,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Long short-term memory neural network for traffic speed prediction using remote microwave sensor data,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.709474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.833267Z digest=sha256:472cb71e2c0b5305dc754ac027a99a27006afaa920289f8b7e295202a0dec312

Observation 1569326a-4d26-4ee6-8b4a-739ffb1f31e2 · outbound

This paper cites Graph markov network for traffic forecasting with missing data,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Graph markov network for traffic forecasting with missing data,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.699960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.837038Z digest=sha256:61d2ac1e143e82d7028d98c82af24c024da5b5647fa2adea1597ab328775fa41

Observation 15299717-c6de-4b7a-838a-0431698b38ec · outbound

This paper cites Stacked bidirectional and unidirec- tional lstm recurrent neural network for forecasting network-wide traffic state with missing values,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Stacked bidirectional and unidirec- tional lstm recurrent neural network for forecasting network-wide traffic state with missing values,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.690912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.840880Z digest=sha256:99f438e83cbf4193aca98d2d098cff54b6779ad4475ced229b0ae35ebe72815f

Observation 3938e2a4-1d0e-4a2b-ba9a-0bc5f8c143a9 · outbound

This paper cites Spatiotemporal fusion transformer for large-scale traffic forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatiotemporal fusion transformer for large-scale traffic forecasting,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.682520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.844273Z digest=sha256:c216ae6635b20c793b3e67dbf4a578fe4afb8333b1acae9e6b2c651809b64920

Observation 074545a1-2b67-4d3d-b1e5-45351fdb4095 · outbound

This paper cites Long short-term memory,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Long short-term memory,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.674027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.847771Z digest=sha256:7b2c53f765a70913a9f43ff1d310bd0b361e4bfe158bd650e532fbf07c1f8c7b

Observation dba09ba4-2e55-4cff-85ba-4ae948f216f7 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:39.852026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:01:39.852026Z digest=sha256:537cece000bb880de496ed6f721cf4f934ea0f6e5464f42ef7bca5a84866e87a

Observation 42a0b163-4805-4f6f-8844-11d8927a7c7e · outbound

This paper cites Attention is all you need,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Attention is all you need,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.664862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.855796Z digest=sha256:9a4224005e0ceb37571706cdb66eb9c3d31b6dfd4a16ab35e29f45bd3bcb6aee

Observation 2539703d-db78-443e-a4cf-cee77de681f6 · outbound

This paper cites Spatio-temporal graph neural networks for predictive learning in urban computing: A survey,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatio-temporal graph neural networks for predictive learning in urban computing: A survey,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.655849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.858848Z digest=sha256:b5b212d71b53ed9369e373f66afb1d9bbabed5c9c0ec41cf0be341435a2b90dc

Observation e45f7114-e0b5-4c35-866f-1f3ed6453230 · outbound

This paper cites Do We Really Need Graph Neural Networks for Traffic Forecasting?.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Do We Really Need Graph Neural Networks for Traffic Forecasting?

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:39.861628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:01:39.861628Z digest=sha256:66180aa2370bcdde1c2fe947a825f4d542c2d14a431107fa4a368f54ebd17c73

Observation 8b86de0f-849e-4132-af2f-7e2fee7b97ff · outbound

This paper cites Graph neural network for traffic forecasting: A survey,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Graph neural network for traffic forecasting: A survey,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.646643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.864689Z digest=sha256:b37b5c0843326d4098a3a4b4dfb727dd75929f5980d289529a6d946cc60f8e70

Observation e8d58869-dc05-4fd8-9c0c-03e50acfd6f0 · outbound

This paper cites Graph wavenet for deep spatial-temporal graph modeling,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Graph wavenet for deep spatial-temporal graph modeling,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.637335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.867511Z digest=sha256:9edcedc5c2db4ffcd51f5d82d340ee85717fe86b81fb722b6bafe33f6f4f6458

Observation cf6bd461-8523-481f-b9df-f8c453978626 · outbound

This paper cites Adaptive spatiotem- poral inceptionnet for traffic flow forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Adaptive spatiotem- poral inceptionnet for traffic flow forecasting,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.628099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.870163Z digest=sha256:3c8da7e28c3e67e0f6e8180bdb7ac157705637bbb12ac67eabee8f1b6930ed16

Observation ebbbc41c-4f6a-4aa1-94c3-2fbd39150630 · outbound

This paper cites Spatio-temporal meta learning for urban traffic prediction,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatio-temporal meta learning for urban traffic prediction,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.618542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.873366Z digest=sha256:9240906154d384c1b8dde57b99729558862a53e3c640efd01c71daa31ceb0ccb

Observation d555e7de-798d-47e5-b3e0-7488c65e39ae · outbound

This paper cites Spatio-temporal self-supervised learning for traffic flow prediction,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatio-temporal self-supervised learning for traffic flow prediction,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.608888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.876506Z digest=sha256:cb7c9ef5f3802109755c1c970661b7e5107b07fd1c88aea3f83011a7af9134fe

Observation 91953af4-693e-40be-93cd-53413532208d · outbound

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

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Pdformer: Propagation delay-aware dynamic long-range transformer for traffic flow prediction,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.599404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.879672Z digest=sha256:8f82abaca5b67555e512b6d5c21022336393c05da9d3ce002f1ea8414e05d22e

Observation 4426475c-5e22-471f-b4e7-c70519c836fe · outbound

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

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:39.883244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:01:39.883244Z digest=sha256:c004a753c6d722019085441362eea2753121b2a687b0a8eb5887729972784eae

Observation 119d56b6-bc34-4953-857b-ef50c0d4c92d · outbound

This paper cites Graph- partitioning-based diffusion convolutional recurrent neural network for large-scale traffic forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Graph- partitioning-based diffusion convolutional recurrent neural network for large-scale traffic forecasting,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.589954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.886874Z digest=sha256:1f027addd02b54244e54f4f8d11c6411b8e539b313e9a78ecefe75947b885b52

Observation dded4d77-dc3a-422a-8afb-d0721bd1d6e3 · outbound

This paper cites Taming local effects in graph-based spatiotemporal forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Taming local effects in graph-based spatiotemporal forecasting,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.580942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.890035Z digest=sha256:df10d1b2732ce061e5263e74e60ce0f5aa6983e3a2a0c14f6abaf1d12e06f670

Observation b192c4eb-e84a-486d-a9d2-1d08de71f6e0 · outbound

This paper cites Changes to commute mode: The role of life events, spatial context and environmental attitude,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Changes to commute mode: The role of life events, spatial context and environmental attitude,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.571830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.892985Z digest=sha256:caa890f626325a6607eacc282751d71f54413344144394e912c834e771ed59ce

Observation 151b4fc5-c317-49e4-b471-c2d9c3c4481f · outbound

This paper cites Largest: A benchmark dataset for large- scale traffic forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Largest: A benchmark dataset for large- scale traffic forecasting,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.562942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.896156Z digest=sha256:67cc669a36f128017c1835ec84b65a5f7f5fa7722ef27006930accb6a0ffb22c

Observation db274a83-6410-431b-b2d3-b4d4b8826a8a · outbound

This paper cites Graph neural networks: A review of methods and applications,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Graph neural networks: A review of methods and applications,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.554763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.899521Z digest=sha256:b3b04dc2cd357626ab4f76416b402855986607b989fcc51149bd895905385fc6

Observation 3be70448-d239-4e36-816b-8f809a6c7736 · outbound

This paper cites Spatiotemporal fusion transformer for large-scale traffic forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatiotemporal fusion transformer for large-scale traffic forecasting,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.546263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.902703Z digest=sha256:28b7fd6e6bd8eec58878afdd7b972642293ecb3d6c9afd6d969865441ecf6a50

Observation cfb4e0c0-673c-413f-a12b-2fe101bcf5e7 · outbound

This paper cites Pre-training enhanced spatial-temporal graph neural network for multivariate time series forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Pre-training enhanced spatial-temporal graph neural network for multivariate time series forecasting,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:39.907053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:01:39.907053Z digest=sha256:8d43f8b1463d5dc7d6f0ec86bab24881221eeea712bfd0dae58377061446fdfd

Observation 3140c8b5-754b-40a4-b54d-0bc07ed078ba · outbound

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

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.537158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.910548Z digest=sha256:a0276b82c864f193dfb58a237c85ae657ea4fd10f14b66aca620978006990edc

Observation 7ab31448-dd61-4acd-8d7c-8e3224f00528 · outbound

This paper cites Masked au- toencoders are scalable vision learners,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Masked au- toencoders are scalable vision learners,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.527871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.913850Z digest=sha256:f2b96af1be07a28f084fb780b0b23f19d061bfca9a399e658095a6f123e03592

Observation f54cf5b3-ea07-4d18-b11f-6fa4b7f59d24 · outbound

This paper cites Pre-trained models for natural language processing: A survey,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Pre-trained models for natural language processing: A survey,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.518076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.917285Z digest=sha256:425b67f812281472b1223256df6757b60669f36bd63671e505d332bacd055a73

Observation d6f833b0-24b9-436f-88a5-005748213fa9 · outbound

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

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:39.920374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:01:39.920374Z digest=sha256:a9741f4e5e7fb07ee9413dab829b0c41d158e220e109728b83ee201a02756c56

Observation 903929e4-2a6a-45ef-9264-70189dbdc986 · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Mlp-mixer: An all-mlp architecture for vision,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.508678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.924174Z digest=sha256:f8efd6e2091485102172010362027ceaae2f6ca436c62d6afebb93824e8eaf4e

Observation 9f45f166-99a4-476a-8876-3688e66f3126 · outbound

This paper cites pnlp-mixer: an efficient all-mlp architecture for language,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting pnlp-mixer: an efficient all-mlp architecture for language,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.498890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.928084Z digest=sha256:c9e3aa962415f106a0618dd2d809e209b2b75f29ea3cd7e8260ba1d7951b24ca

Observation 3adf7a9d-1314-4140-99b0-61c05dbfc7d9 · outbound

This paper cites TSMixer: An All-MLP Architecture for Time Series Forecasting.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:39.931682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:01:39.931682Z digest=sha256:1d50919e48d2f591ed04e346c0695ff8cf4492af85704e4cfa7ff4953147d310

Observation 3651c22a-5423-49dd-9609-be26d97c51b0 · outbound

This paper cites RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:01:40.134721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.935962Z digest=sha256:bc0dd07899a8367f69627a69bc38cfa06790c0ea4026d82db15efa6197d3b893

Observation 0d85d572-17f4-437d-a242-56e65bc949d1 · outbound

This paper cites ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:39.940399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:01:39.940399Z digest=sha256:f82298a1dee3d1066258df4b53c1bc977c379b076e42aeaab966ee82ca939724

Observation 33a44fca-d7ce-46c3-bdc3-06449f00b026 · outbound

This paper cites Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:01:40.109194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.943983Z digest=sha256:32771944e8575bbcdabeb77a786d7ff6b1afbc1d3410019f2ec20edce4f2cc67

Observation 4cf781f3-79bd-4407-8110-0480108965bf · outbound

This paper cites Dstagnn: Dynamic spatial-temporal aware graph neural network for traffic flow forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Dstagnn: Dynamic spatial-temporal aware graph neural network for traffic flow forecasting,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.488780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.947227Z digest=sha256:9f3d887801d6868942dac0f7a90660f92405c46de282387d77f55d2cce254e62

Observation d65595e5-426d-47f6-b0c5-0ffeb79ee9ea · outbound

This paper cites Dynamic graph convolutional recurrent network for traffic prediction: Benchmark and solution,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Dynamic graph convolutional recurrent network for traffic prediction: Benchmark and solution,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.479273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.950346Z digest=sha256:4fae8cf00c19cfeae3fac1eed5e65f9f8b3c3041dc07e995f278ba0ea3eaa658

Observation 90330530-ba2b-476b-9c2d-db70703c9d09 · outbound

This paper cites Attention based spatial- temporal graph convolutional networks for traffic flow forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Attention based spatial- temporal graph convolutional networks for traffic flow forecasting,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.469672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.953187Z digest=sha256:42ea6fa9f078aa2452d72954af952023449da350d30bd3120df40b8ea7ebffe2

Observation 2f4f4829-7e05-4fb5-abcf-abd17e70ed18 · outbound

This paper cites When do contrastive learning signals help spatio-temporal graph forecasting?.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting When do contrastive learning signals help spatio-temporal graph forecasting?

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.460317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.956382Z digest=sha256:e10f8fe725f09b738c6a50058a68ff0083cb80f2417983ef17c14f0e4d53cebb

Observation 1ba57b33-62c5-40af-b5be-07895825c8ad · outbound

This paper cites Mining spatio-temporal relations via self-paced graph contrastive learning,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Mining spatio-temporal relations via self-paced graph contrastive learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.449908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.959213Z digest=sha256:9f8cb4bf940457fd4c587ded6386eb738329122480ff4f2bcfb6026204e2d6b8

Observation 0a447950-6b38-4485-b7c9-9ecda8f1b4e6 · outbound

This paper cites Simmtm: A simple pre-training framework for masked time-series modeling,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Simmtm: A simple pre-training framework for masked time-series modeling,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.440166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.962575Z digest=sha256:bb7cd5b00af97342b92f75f736f2f34903171d4a42b2b50bd65a5d0f162e88f2

Observation e79a2ddd-ee84-4c73-9c38-441021b8c6c7 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:39.966841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:01:39.966841Z digest=sha256:e7f164861a56c8a124ade64c216a519f45acfc643fb901b04e7c40b0212eb4fc

Observation fb691461-4d36-45d4-9e9b-914644f29fe1 · outbound

This paper cites Interpretable weather forecasting for worldwide stations with a unified deep model,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Interpretable weather forecasting for worldwide stations with a unified deep model,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.430809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.970474Z digest=sha256:91c9ee60fe32298d8c2c09cded88c47b33c7e89aae074411d5f2f5ee8628d7e5

Observation d198e7ad-fe11-4782-9052-eb2fa6ddf1ae · outbound

This paper cites Pfnet: Large-scale traffic forecasting with progressive spatio-temporal fusion,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Pfnet: Large-scale traffic forecasting with progressive spatio-temporal fusion,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.421771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.973902Z digest=sha256:99b80cdf0ecdc700b199cfe62aa0e4f1ded35bbf37e860df35c3a128ad1892d4

Observation 338b9832-6f94-416f-ace2-b06a8274cac5 · outbound

This paper cites Spatial-temporal graph ode networks for traffic flow forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatial-temporal graph ode networks for traffic flow forecasting,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.411987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.977415Z digest=sha256:a9b85051d2910a36b76104c7aeb36974414848bbc6ae4727389d8d09769fc04b

Observation 3a9df309-2697-466b-922b-39087ef0167b · outbound

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

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Gman: A graph multi-attention network for traffic prediction,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.401496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.980927Z digest=sha256:e32f6ae302464ebf76f0611d02ca06ab49981a9608afe8c914509c64b7e5e560

Observation 8f449a04-6998-4aeb-8f2f-d9c7bff7f9f8 · outbound

This paper cites Spatio-temporal hierarchical mlp network for traffic forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatio-temporal hierarchical mlp network for traffic forecasting,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.391047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.984171Z digest=sha256:eb838c31b37da7fe23cbed91888b97e1ab065bbeeb54e05f6a17c1a40022d687

Observation b00f603a-e182-4459-97d9-cd8c7ce20c56 · outbound

This paper cites Learning to Embed Time Series Patches Independently.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Learning to Embed Time Series Patches Independently

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:01:40.084852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.987576Z digest=sha256:4afc1aecdd1193dcb8f48a4809bfe83c087efecfc12dba01c334cad5ffd0223e

Observation 87a17c26-51b3-417b-8a7d-8bb33a7933e0 · outbound

This paper cites Uti- lizing expert features for contrastive learning of time-series represen- tations,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Uti- lizing expert features for contrastive learning of time-series represen- tations,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.381658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.991934Z digest=sha256:26fe17ecadcd8c1e1b1c71e438e5a5235ef81380295ffa98dd731a833a2c00b1

Observation ce916857-9a62-4736-a954-815209c1135d · outbound

This paper cites i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:01:40.069735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:39.995693Z digest=sha256:d4395ee1fc54bf4a522a52c99f3e4c3bc9423764d0f439cfecb0ea6b0d79fc62

Observation cd708556-173d-4178-ac19-3bce7ec9bda3 · outbound

This paper cites Translating math formula images to latex sequences using deep neural networks with sequence-level training,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Translating math formula images to latex sequences using deep neural networks with sequence-level training,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.371528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:40.000354Z digest=sha256:617a0e49c250e0c63496d25645dfc7af66dfec2abf8be8ca39df56bd235aa578

Observation 75bc1168-06a8-48c4-ad8c-2c4bccc4ef3c · outbound

This paper cites Freeway performance measurement system: mining loop detector data,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Freeway performance measurement system: mining loop detector data,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.360950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:40.004122Z digest=sha256:20aae38d4de5b58d76197b8229d6a994c991f1f450da220fb01a96a223951414

Observation fc30a5c7-5ef8-4247-a23a-b250257f445e · outbound

This paper cites Revisiting convolutional neural networks for citywide crowd flow analytics,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Revisiting convolutional neural networks for citywide crowd flow analytics,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.351267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:40.007750Z digest=sha256:fc08f508f46e76135367f1f053545ce1c34ee821ed0cf19338e66ee21e999e81

Observation bc1d8752-300c-482e-b2a8-a870881d69c6 · outbound

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

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T13:01:40.011106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:01:40.011106Z digest=sha256:25e94db7c6383acc9b09ccbb65760d4b6ccf081f472f087578492cc3a9462353

Observation 188300fa-fdfc-40cc-b952-6208ee92744b · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Adaptive graph convolutional recurrent network for traffic forecasting,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.341035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:40.015103Z digest=sha256:59bce4a2ce152f6ebb984ff8cef8bc1bd9d8269038a4a0bff5c2dbcd40bb75a8

Observation 2c772280-fd5b-4f94-b988-f345816035bf · outbound

This paper cites Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.330645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:40.018820Z digest=sha256:93dc6cf6a1ac5547d6f2c8d8c838f76eea00d9122e4d5dae47e7635a3e29ed19

Observation 2d8b373b-77dc-4b7b-a860-197c90e69a64 · outbound

This paper cites Decoupled dynamic spatial-temporal graph neural network for traffic forecasting,.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Decoupled dynamic spatial-temporal graph neural network for traffic forecasting,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:01:40.320141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:01:40.022567Z digest=sha256:6a9c78873bba86349152a0c37d20ee94f52601eaf59038dfc195a81d39a412c0

Pith citing papers

No inbound Pith citation observations are available.