Paper Citation Record · LEDGER

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 7 inbound Pith citation observations for arXiv:2506.20093.

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

pith.paper-citation-record.v1
2506.20093 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:04:09.057258Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:27:17.366480Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T21:46:43.208349Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46d32590-f5cf-4398-84f0-925937e35322 · outbound

This paper cites L., and Parikh, D.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset L., and Parikh, D

Reference 1

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Observation 7fbe2e15-7377-4338-9db2-b1909ae35e77 · outbound

This paper cites Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:10.343757Z

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Observation 685ae8ce-fc38-43a8-8d2e-9cdee5cd2366 · outbound

This paper cites Accurate medium-range global weather forecasting with 3d neural networks.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Accurate medium-range global weather forecasting with 3d neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:10.325177Z

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Observation cb089b2d-9228-4e33-bced-042685872e92 · outbound

This paper cites TimeSeriesExam: A time series understanding exam.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset TimeSeriesExam: A time series understanding exam

Reference 4

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Observation afe80499-c473-4f43-b199-c1bd76591e4a · outbound

This paper cites an unresolved cited work.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:04:10.306728Z

Source-reported events for the cited work

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Observation 27347cf9-9491-4943-baf7-c3dd84c6c15f · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 6

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Observation 75d20e53-1b55-4551-8e42-7499a01d75c9 · outbound

This paper cites Z., Webb, G.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Z., Webb, G

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:10.288552Z

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Observation e00a4188-2e23-42be-a40d-94fcbe539e19 · outbound

This paper cites M., Parikh, D., and Batra, D.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset M., Parikh, D., and Batra, D

Reference 8

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Observation 8d4fae54-2517-4717-a0eb-30bd52714fc8 · outbound

This paper cites an unresolved cited work.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Unresolved cited work

Reference 9

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Observation 6ab29595-d66a-49e8-a50f-d06a4d7adb50 · outbound

This paper cites Glm: General language model pretraining with autoregressive blank infilling and task-specific fine-tuning.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Glm: General language model pretraining with autoregressive blank infilling and task-specific fine-tuning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:10.231518Z

Source-reported events for the cited work

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Observation 85511774-9b76-4d35-90e6-ba86c3988394 · outbound

This paper cites Units: A unified multi-task time series model.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Units: A unified multi-task time series model

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:10.210729Z

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Observation 126f1382-b0f1-486d-b606-f13c44d330cf · outbound

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

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset MOMENT : A family of open time-series foundation models

Reference 12

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Observation e40355b8-54c2-4349-ad49-cfc497019ade · outbound

This paper cites Vector quantization pretraining for eeg time series with random projection and phase alignment.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Vector quantization pretraining for eeg time series with random projection and phase alignment

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:10.174444Z

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Observation 47cdc598-4795-41c8-81d0-9172bfd5c2e8 · outbound

This paper cites an unresolved cited work.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Unresolved cited work

Reference 14

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Observation bbb91670-4b8d-4755-b652-827c0ac6c952 · outbound

This paper cites Y., Wen, Q., Zambon, D., Alippi, C., Webb, G.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Y., Wen, Q., Zambon, D., Alippi, C., Webb, G

Reference 15

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Source-reported events for the cited work

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Observation fb4c23bf-d99e-4263-9b0a-fea91cf0c048 · outbound

This paper cites Y., Shi, X., Chen, P.-Y., Liang, Y., Li, Y.-F., Pan, S., et al.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Y., Shi, X., Chen, P.-Y., Liang, Y., Li, Y.-F., Pan, S., et al

Reference 16

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Observation 5c723f0c-da1c-4fa3-9ce1-5de2db7a62f3 · outbound

This paper cites Position: What can large language models tell us about time series analysis.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Position: What can large language models tell us about time series analysis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:10.095702Z

Source-reported events for the cited work

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Observation 05b31b23-d68e-4bef-bbde-edcc874d3635 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 18

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Observation b2c5da9d-0b6d-42da-875b-cfe032314921 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Rouge: A package for automatic evaluation of summaries

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:10.062030Z

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Observation 7b83135b-a8f9-4df6-be70-e0faef0b83f7 · outbound

This paper cites B., Sharma, M., Cui, J., Wen, Q., Zhang, C., et al.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset B., Sharma, M., Cui, J., Wen, Q., Zhang, C., et al

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:10.046513Z

Source-reported events for the cited work

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Observation 15124c7a-efa2-4e1b-afa4-0b36bb64689b · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset itransformer: Inverted transformers are effective for time series forecasting

Reference 21

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Observation 05fe81fa-7624-499d-aee1-ac22358426c4 · outbound

This paper cites Autotimes: Autoregressive time series forecasters via large language models.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Autotimes: Autoregressive time series forecasters via large language models

Reference 22

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Source-reported events for the cited work

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Observation f8b01855-c3c5-481f-a428-48cbb4fc1bb8 · outbound

This paper cites Timer : Generative pre-trained transformers are large time series models.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Timer : Generative pre-trained transformers are large time series models

Reference 23

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Observation c973a13c-ad16-47d3-8388-76eb0160e032 · outbound

This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks

Reference 24

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Observation 7b428976-7b0e-4b08-8bd0-eb23bd5da745 · outbound

This paper cites Y., Chen, B., Williamson, D.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Y., Chen, B., Williamson, D

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.959838Z

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Observation 8b69f8ad-2e3d-4048-9add-dd47facfcb96 · outbound

This paper cites Nguyen, N., Sinthong, P., and Kalagnanam, J.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Nguyen, N., Sinthong, P., and Kalagnanam, J

Reference 26

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Observation dd03ad20-1d07-4dd1-9be2-4846d689d19a · outbound

This paper cites Gpt-4 technical report, 2024.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Gpt-4 technical report, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.928315Z

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Observation 76432076-a22f-40b6-b021-2e75baf51276 · outbound

This paper cites N., Carpov, D., Chapados, N., and Bengio, Y.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset N., Carpov, D., Chapados, N., and Bengio, Y

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.908153Z

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Observation d37d0f76-23de-45c6-84a6-1a76ceccc039 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Bleu: a method for automatic evaluation of machine translation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.889566Z

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Observation 6641e5fc-044e-4912-8e7b-37a2a7c06bb0 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 30

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This paper cites M., Xing, E., Yang, M.-H., and Khan, F.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset M., Xing, E., Yang, M.-H., and Khan, F

Reference 31

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Observation e3e1f65a-e9c7-43be-95c6-a427037620da · outbound

This paper cites Get To The Point: Summarization with Pointer-Generator Networks.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Get To The Point: Summarization with Pointer-Generator Networks

Reference 32

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This paper cites H., Stoffer, D.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset H., Stoffer, D

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.854778Z

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Observation e50ed1c9-1f03-4873-9e4f-e30747212325 · outbound

This paper cites Generative multimodal models are in-context learners.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Generative multimodal models are in-context learners

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.833173Z

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Observation 270d216c-47e5-4025-9e8f-4b66cc1185ed · outbound

This paper cites and Bansal, M.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset and Bansal, M

Reference 35

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Observation b1ee0f8d-ef08-4a75-bd0a-428a14af4c87 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Gemini: A Family of Highly Capable Multimodal Models

Reference 36

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Observation db41f95c-d256-4bea-b720-a29fc2ece96d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset LLaMA: Open and Efficient Foundation Language Models

Reference 37

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This paper cites Attention is all you need.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Attention is all you need

Reference 38

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This paper cites ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

Reference 39

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This paper cites From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

Reference 40

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This paper cites Establishment of super sonic inlet flow pattern monitoring system: A workflow.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Establishment of super sonic inlet flow pattern monitoring system: A workflow

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.784312Z

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Observation b4868ebf-451d-4e67-b473-0c58a1db0b7e · outbound

This paper cites Self-supervised health representation decomposition based on contrast learning.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Self-supervised health representation decomposition based on contrast learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.766275Z

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Observation 6bab9b86-aeef-4540-bd7c-ff899bd19804 · outbound

This paper cites Incorporating prior knowledge into self-supervised representation learning for long PHM signal.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Incorporating prior knowledge into self-supervised representation learning for long PHM signal

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.747731Z

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Observation 918aeb8f-37e9-40c8-9fa7-f3d281934c69 · outbound

This paper cites Leveraging large self-supervised time-series models for transferable diagnosis in cross-aircraft type bleed air system.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Leveraging large self-supervised time-series models for transferable diagnosis in cross-aircraft type bleed air system

Reference 44

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Observation be4b2841-5ec4-4c48-909d-9a7c446d8707 · outbound

This paper cites Data-driven dynamic health index construction for diagnosis and prognosis of engine bleed air system.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Data-driven dynamic health index construction for diagnosis and prognosis of engine bleed air system

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.730211Z

Source-reported events for the cited work

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Observation 5487bdf3-4fb5-4294-a8d0-a0f1b2cd2ed5 · outbound

This paper cites Emergent abilities of large language models.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Emergent abilities of large language models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.710592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58d16cb1-0a4a-4163-bd52-570c3c2e5e69 · outbound

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

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Interpretable weather forecasting for worldwide stations with a unified deep model

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.690651Z

Source-reported events for the cited work

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Observation 629dd93d-bcce-4a90-857b-af19b9f770a3 · outbound

This paper cites Qwen2.5 Technical Report.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Qwen2.5 Technical Report

Reference 48

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Source-reported events for the cited work

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Observation 3909f0f3-7b9f-41e8-841f-cc040d9c7591 · outbound

This paper cites Learning topology-agnostic eeg representations with geometry-aware modeling.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Learning topology-agnostic eeg representations with geometry-aware modeling

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.671401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c77bce5f-1b8b-4a68-b8d0-d968519f3285 · outbound

This paper cites Coca: Contrastive captioners are image-text foundation models.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Coca: Contrastive captioners are image-text foundation models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.653896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 467d68e1-f2d1-4fef-a51f-c7d829ec4bd0 · outbound

This paper cites TS2Vec : Towards universal representation of time series.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset TS2Vec : Towards universal representation of time series

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.622242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 01a959df-ee49-4de6-a3e2-0cb05b3e48ae · outbound

This paper cites and Yan, J.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset and Yan, J

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.595267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5d0a15a5-dee0-40e4-9363-10893b1a79e0 · outbound

This paper cites I., and Wang, J.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset I., and Wang, J

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.574886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c053e5d-e4c8-478c-a11d-ee70999f9d1d · outbound

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

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T23:04:09.030157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1bf5f04-55cf-4334-bca5-f36d103aa6ab · outbound

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

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset FEDformer : Frequency enhanced decomposed transformer for long-term series forecasting

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.541670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 43728726-c5ed-44ee-ad21-39e5ba5cc7c6 · outbound

This paper cites Y., Yuhao Cui, D.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Y., Yuhao Cui, D

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:04:09.518729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d05570d-e251-46be-88f4-5071354462a1 · outbound

This paper cites write newline.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset write newline

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T23:04:09.057258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9f5d56cd-3c43-4880-8fa3-5eebbb48e5ac · inbound

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs cites this paper.

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T04:27:17.366480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 820044b0-a0d7-4297-a403-731773203b96 · inbound

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning cites this paper.

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:46:43.212152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71647806-738d-43da-bbdd-549690ea3a6f · inbound

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning cites this paper.

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T23:21:32.958348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d05be31-e407-4eb1-8272-7c43143d676a · inbound

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale cites this paper.

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:36:04.408759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 31d9bcf3-eb61-48d4-9d89-84c8ea632451 · inbound

CAN-QA: A Question-Answering Benchmark for Reasoning over In-Vehicle CAN Traffic cites this paper.

CAN-QA: A Question-Answering Benchmark for Reasoning over In-Vehicle CAN Traffic ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:46:13.201714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6300298-881d-4845-8d6e-b0c043445598 · inbound

DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules cites this paper.

DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:31:25.929105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 921c9e46-868e-4956-96dd-75ca8ea6e1e8 · inbound

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series cites this paper.

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T14:52:42.813309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.