Paper Citation Record · LEDGER

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation

As of 22 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2504.18878.

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

pith.paper-citation-record.v1
2504.18878 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:13:36.715292Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:21:27.813742Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:21:28.803578Z

Reference resolution

51 of 51 outbound references displayed

verified exact1
verified fuzzy7
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9e092db-468d-433b-985c-f2714b939d9a · outbound

This paper cites Optimal multi-scale patterns in time series streams.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Optimal multi-scale patterns in time series streams

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.589072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe9c5455-e6f5-43b9-a8c3-391536c957fa · outbound

This paper cites Statstream: Statistical monitoring of thousands of data streams in real time.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Statstream: Statistical monitoring of thousands of data streams in real time

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.625907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d82ea26d-c7a3-4794-9971-755e92109ed2 · outbound

This paper cites Transformer-based models to deal with heterogeneous environments in human activity recognition.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Transformer-based models to deal with heterogeneous environments in human activity recognition

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.630856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05ae9501-ac9f-4d18-948f-fb1f9495e07e · outbound

This paper cites Gradient flow in recurrent nets: the difficulty of learning long-term dependencies, 2001.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Gradient flow in recurrent nets: the difficulty of learning long-term dependencies, 2001

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.635064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c0c3649-f2dc-483d-9ddc-38af667de4eb · outbound

This paper cites Attention is all you need.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Attention is all you need

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.639051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68efd510-24d3-4190-86cd-05285199dd41 · outbound

This paper cites Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.644153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e77aa01-6e35-4a4f-aa59-4e3d41374e6a · outbound

This paper cites Music Transformer.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Music Transformer

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.649234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d7f153-179a-49d3-adf6-5e13240cb7ea · outbound

This paper cites A time-restricted self-attention layer for asr.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation A time-restricted self-attention layer for asr

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.653704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ebc51c4-ff21-4900-9fde-c8ee45e469a7 · outbound

This paper cites Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.658122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53632f08-5f88-4f1c-8310-feafc1761020 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.662568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe68897-2626-4fbf-938c-eb5b8f1b1e33 · outbound

This paper cites Autoformer: Decomposition transformers with auto- correlation for long-term series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Autoformer: Decomposition transformers with auto- correlation for long-term series forecasting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:37.953634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 234f020d-0301-4c0c-98e5-9b6280806f7f · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.671472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c835dee-396d-4119-a27c-a10528efbe26 · outbound

This paper cites Brits: Bidirectional recurrent imputation for time series.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Brits: Bidirectional recurrent imputation for time series

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:37.753146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f4a8d84a-1f19-4df8-8e14-b25c5100aad1 · outbound

This paper cites Gp-vae: Deep probabilistic time series imputation.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Gp-vae: Deep probabilistic time series imputation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.804136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a25c83ee-e0c5-4c2f-936a-a386d3922960 · outbound

This paper cites Multivariate time series imputation with generative adversarial networks.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Multivariate time series imputation with generative adversarial networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.895063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d7d1a59-6b13-4471-a5ca-cdd03384396d · outbound

This paper cites Saits: Self-attention-based imputation for time series.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Saits: Self-attention-based imputation for time series

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.964213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cece2650-8c14-4f19-a828-8041d2fbbb79 · outbound

This paper cites Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.990845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad460958-379f-4bee-958f-0dcb3edbe18e · outbound

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

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:35.995312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c6ee87-b901-4ed8-9476-637639b8359f · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.000051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d96dc1fc-c566-4ce2-9378-5ad196bb2166 · outbound

This paper cites Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.005394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0975329-1bc1-4d21-8de7-b3b337374d57 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.010363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 278b38f5-089c-476b-9819-9ace16aee1fa · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.015582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245378ee-7c64-4376-9919-903634c61de2 · outbound

This paper cites Deep residual learning for image recognition.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Deep residual learning for image recognition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.019546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f81d9d-4b6f-4553-a271-3cc42fe040fc · outbound

This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.063557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 646cc956-2b2e-4ea2-bd46-74582d55631a · outbound

This paper cites A review on word embedding techniques for text classification.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation A review on word embedding techniques for text classification

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:37.675910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2e1e26f-e821-4bf7-96f9-8b18a64cedad · outbound

This paper cites Identity mappings in deep residual networks.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Identity mappings in deep residual networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:37.661904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 42d3c809-d951-42cb-b5ad-1cd4604e133f · outbound

This paper cites Adversarial sparse transformer for time series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Adversarial sparse transformer for time series forecasting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.249598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18248794-4d27-4dac-892a-202b64912a14 · outbound

This paper cites Uci machine learning repository.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Uci machine learning repository

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 279464e7-909b-43d5-abfd-fc8e7039505f · outbound

This paper cites Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.259859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d07d40c6-9800-4d9a-a0a5-6ed99d41a0b4 · outbound

This paper cites Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.264664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d723c2c-7df7-49d5-be3f-9d48612e56d8 · outbound

This paper cites Are Transformers Effective for Time Series Forecasting?.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Are Transformers Effective for Time Series Forecasting?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.270067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e51d7b-e55c-45a5-925f-96112b242e25 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Non-stationary transformers: Exploring the stationarity in time series forecasting

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:37.632589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bbd2c298-6be7-455d-81ae-ada6ae858f5d · outbound

This paper cites Deep time series models: A comprehensive survey and benchmark.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Deep time series models: A comprehensive survey and benchmark

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa72fa13-963c-438c-9522-778ef92dac3f · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.364015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cea1ab7-a3d3-4fee-a86a-87b6057ad604 · outbound

This paper cites HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.399587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12197a3d-1494-4bcb-8f21-3f099a3933ec · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation A decoder-only foundation model for time-series forecasting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.433480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8319c3f-7895-493e-a891-38d25ddd3c73 · outbound

This paper cites Transferability in Deep Learning: A Survey.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Transferability in Deep Learning: A Survey

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.470247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49982b9-b5d2-47f0-8b0e-cd8a9919c9f0 · outbound

This paper cites Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:37.604546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 45af373e-b979-45fa-824e-8d8eb5408771 · outbound

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

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Simmtm: A simple pre- training framework for masked time-series modeling

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.479581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d7dea2a-d550-4a6f-a48e-d1752e06f4e3 · outbound

This paper cites CoST: Contrastive learning of disentangled seasonal-trend representations for time series forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation CoST: Contrastive learning of disentangled seasonal-trend representations for time series forecasting

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.483629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ec7ffd-ae99-45bc-bbfc-f866bbd4bc06 · outbound

This paper cites Learning to embed time series patches independently.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Learning to embed time series patches independently

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.487766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8080f1-4cc8-4cf0-8378-ee228fe7b000 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation On the Opportunities and Risks of Foundation Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.492911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29bc463-1a82-41e3-b477-d7cbec57d51c · outbound

This paper cites Self-supervised contrastive pre-training for time series via time-frequency consistency.Advances in Neural Information Processing Systems, 35:3988–4003, 2022.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Self-supervised contrastive pre-training for time series via time-frequency consistency.Advances in Neural Information Processing Systems, 35:3988–4003, 2022

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.498332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d62cf147-420e-4e28-bd25-43ea6acab69b · outbound

This paper cites One fits all: Power general time series analysis by pretrained lm.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation One fits all: Power general time series analysis by pretrained lm

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.502606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d5c13dc-fa20-4df8-abb2-60a0621c433d · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.506578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e278cf84-0a90-44f7-bfa0-9cb919a604ff · outbound

This paper cites MOMENT: A family of open time-series foundation models.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation MOMENT: A family of open time-series foundation models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.512086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd098a7f-03ac-45ed-82ce-8b6a5c7135ae · outbound

This paper cites Unified training of universal time series forecasting transformers.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Unified training of universal time series forecasting transformers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.515905Z

Source-reported events for the cited work

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Observation 37b38d63-2ef2-4d3f-9df2-c88ab4d42a30 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.520092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e65b7abf-0fe7-45df-aa7d-010ceaac8f55 · outbound

This paper cites Scinet: Time series modeling and forecasting with sample convolution and interaction.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Scinet: Time series modeling and forecasting with sample convolution and interaction

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:13:37.428406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ba02092c-5986-42dc-b5f5-223e3fc91413 · outbound

This paper cites ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T10:13:36.710574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c719b7e-cb9c-4d33-80db-abc269118d0e · outbound

This paper cites Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting

Reference 51

Resolution: verified exact; raw_fallback, observed 2026-08-16T10:13:36.982160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 99b80e24-d322-4a98-b4a2-6b892fe496e9 · inbound

Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection cites this paper.

Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:21:28.808648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.