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Paper Citation Record · LEDGER

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding

As of 11 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2501.07335.

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

pith.paper-citation-record.v1
2501.07335 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:48:13.756330Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:49:34.947744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:23:13.469551Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved42
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f955f8e-7b3a-4035-9a12-02ce5fddd6e4 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:21.145767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation fa3f9a99-d8bc-4626-af2e-d1a14f78d299 · outbound

This paper cites Chronos: Learning the Language of Time Series.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Chronos: Learning the Language of Time Series

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:11.819811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:11.819811Z digest=sha256:ad1e1508ba7aaac1bf71c3d869113a50d4d72c4a5ece48ec5ca3eaef4a294510

Observation 276c7d75-4d14-4ad5-93ed-371804228231 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:21.083127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4c1fdebf-6f48-4bd6-bfed-bf46ce039005 · outbound

This paper cites Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Bar- reira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Bar- reira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:48:20.984113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b3978b72-f683-466e-9ce4-29009d16ae10 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:20.942904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6b58aca0-57a3-4290-a3a4-d5610372ab54 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:20.794764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e2bf3422-015f-494c-8ed2-afde8b81a21d · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:20.614765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:11.938707Z digest=sha256:5e0f7e7e808b11253ce8732f3e99dc3c0756cc304898aabf1f811a04f73373f3

Observation d28d7d63-01bb-4095-b674-ae56af2c64df · outbound

This paper cites Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach

Reference 8

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9399d946-30c6-42a8-b6c8-5108d00e47d2 · outbound

This paper cites Large Language Models: A Survey.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Large Language Models: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:11.974516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:11.974516Z digest=sha256:df674159457004f9d0519d3d786d4751a95c17d71b3da2ba729171b5081a3be6

Observation d97002c0-2eb7-4013-a66d-d39f0cd8b48c · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation bd6aa3e4-0ba9-4c19-9ad5-f7c203fd7886 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 11

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2c7345dc-e2c2-4dcd-9d66-d3b157947dff · outbound

This paper cites Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, and Tim Althoff.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, and Tim Althoff

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2160aae5-e842-490d-8223-ec6fd2fd4f2c · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 14

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d74656d8-c261-461d-948f-8fe313770671 · outbound

This paper cites TimeSeriesExam: A time series understanding exam.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding TimeSeriesExam: A time series understanding exam

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:12.104221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:12.104221Z digest=sha256:bc11917107278f283b99dd356cf72aed09719a3b044a36d7ff393e5f71c51c81

Observation 4f84351e-603c-44b5-b55d-75b5cb627bd5 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:19.985988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a2c17e46-7e95-44b4-a327-419e64c3426d · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 17

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:12.176770Z digest=sha256:fb581c609363956d983db6f0df0c56cf9c47f52dde7806b55da3787cc046d488

Observation 67e95e5c-1da1-471a-ab64-bf67eaf21378 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f2f00fbe-e802-4ebb-bd68-0b60d51c2a74 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:19.644903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 687358b7-e330-4d55-bec6-37d8ad56b375 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b3402767-11e7-40ed-a82c-8eb3d3cd922c · outbound

This paper cites Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1ca030f6-d94c-45fa-a24d-34901c32f012 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:19.174758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 58143c98-75a8-4d2f-8925-98b670aa8656 · outbound

This paper cites Advancing Time Series Classification with Multimodal Language Modeling.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Advancing Time Series Classification with Multimodal Language Modeling

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:12.431558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 63ea9a43-2f9c-4d5f-abad-9efbef8670a8 · outbound

This paper cites Gupta, and Jingbo Shang.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Gupta, and Jingbo Shang

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c5ec8340-6431-461b-ab46-f99e2647fe53 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:18.832736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 90e7d141-9a9c-43ff-8fad-2259317d0e71 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:12.585349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation abe98b9b-b3f9-4fa7-90f1-b4fab30ae8e6 · outbound

This paper cites Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, and Yan Liu.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, and Yan Liu

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:48:18.664757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ce196d33-d417-494f-8cfc-7c714552a294 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:18.578358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation be3945be-e2eb-4148-8b95-e8c530d472e7 · outbound

This paper cites Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, and Qingsong Wen.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, and Qingsong Wen

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d73abc0b-be24-4794-8a8f-e294e478ad2d · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:12.764760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78b34a45-de81-42bc-9a78-e317f10a92ab · outbound

This paper cites Are Language Models Actually Useful for Time Series Forecasting?.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Are Language Models Actually Useful for Time Series Forecasting?

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:12.836577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 99f8111f-706e-46e9-a472-2641152e896d · outbound

This paper cites Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:12.884753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:12.884753Z digest=sha256:5310d02969a87ee0435fbb2c4639ec499daedd8f385e09582fe724b3c5e98fc1

Observation 5f2bf1f0-8297-431e-bdf4-57320358aa84 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:18.174794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 366d0a1f-e9c2-4cd6-abd1-f6278f26f6da · outbound

This paper cites Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:12.954300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:12.954300Z digest=sha256:4179fcec35973647ca673cbaf6d7b537d67101ae6909aa0702c62e2804924f9c

Observation 84b34dc7-4266-41a3-8e77-9d8a9ec19337 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:18.052188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ea8f5b28-b86d-47ed-ba71-ee599b36d75b · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:17.913875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 91794b59-0bb9-4c42-923b-f570c656ba04 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:17.802350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.074752Z digest=sha256:efde8ebf6f583487263d5c573677628175b65e0cf92dca1e37c780c68d10499e

Observation 493df600-361a-452d-a38c-6b038db08890 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:17.654872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.123005Z digest=sha256:4a4724c27290290ed657ce4f39284fedd8708ffec8cfbb68c335d66d27960d1e

Observation 66efac33-d8bf-426e-899b-371e08b1c94b · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:17.488831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.149222Z digest=sha256:84318e7e9504b21e2a28b39f21c700ac220bea354e4a125a0d1b4e6cd5dd628a

Observation 423dfa69-715a-46c8-af54-94169e952312 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:17.314864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.184753Z digest=sha256:ff39f70a7c027af6e52ac53c74e8d9a0ba4591404278c8d7c2038f1aa0a9bfb9

Observation 2e78037c-884b-44de-8f14-120f6b8617f5 · outbound

This paper cites Towards Time Series Reasoning with LLMs.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Towards Time Series Reasoning with LLMs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:13.210022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:13.210022Z digest=sha256:922b7433efa171890e8e0c8e97441a1175730f6e8cc27346ebf5e4e1f28f5d2c

Observation b54fc1a3-3b6f-4208-93ad-c5032a90c960 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:17.195018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.234775Z digest=sha256:cbdfd7d91a433be245292371cacbc83f0e6de437281ef4c46e64746f72399c9f

Observation 9253fd07-1aaf-4ee8-a370-edb4cd495329 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:17.036255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.284843Z digest=sha256:3901da4f817785d09f997eff93ed0be778351bb0f69d0080e1cd564eb05a2b90

Observation 3805b175-66c4-4d1c-80ce-26868367b03c · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:16.929862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.334764Z digest=sha256:a011ca37045be9ed501a5f50dae0028c24141acbd56e99e3fb99cd79e74a45a5

Observation e88fa2ff-1b58-4463-a5e4-e165a4caeb27 · outbound

This paper cites Chi, Quoc V.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Chi, Quoc V

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:48:16.824754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.384766Z digest=sha256:cebe1b8eb6a32b7150d32d6791422e920f824ee65c9a4a53f8e1585400345d16

Observation 0be0195c-b8d9-4137-a689-7cc44e5821c5 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:16.707755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.434763Z digest=sha256:a8183ec0423d55c4f765b52f764ea8d60312adce723f1820fcd86960d291cb3f

Observation 60f6df1d-6338-4cbc-b64e-3da5f7307ad8 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:13.467143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:13.467143Z digest=sha256:f15f7965ac5514e3c6265828bdb81ef8fcbd1304e18b3cfac41e0b890fd7352d

Observation 137878b0-04b6-4a8d-aff5-04fd6372f4de · outbound

This paper cites Meta Llama-3.2-1B.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Meta Llama-3.2-1B

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:48:16.485126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.493979Z digest=sha256:10b08c6bb13d93be30f44152672c64c4d23aaf118a017912f43eeaa9b48b0c87

Observation 4e88eb74-cbf4-4975-9bb8-2d4ccd87abd2 · outbound

This paper cites Meta Llama-3.2-3B.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Meta Llama-3.2-3B

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:48:16.336386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.521711Z digest=sha256:b75ed477e043889094443d786a1b4ac510861448fdd6f4e4980adc5ad0163923

Observation 8afad0a7-6ccf-44db-8d48-0385bfec9fff · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:16.184769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.546264Z digest=sha256:e3c43bd62336ce2732c14514a76aa044e24dd49e5e008cadaec6cbab1090fe7f

Observation c3db4319-bb52-4796-b0ad-e932725e4cee · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:16.082400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.579304Z digest=sha256:d4f0e4d7f76fca4a75415dd469333089dc132cf77248fee95edd90d4c791e0e5

Observation 4a9571ff-3d6f-4b49-ae0c-784201a3bcbb · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:48:16.024754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.604783Z digest=sha256:1f02c61296c47f26914b15ad0b8ae4f07c0ece849a389f047b775ba68b25819d

Observation f803a147-b23a-4759-a02b-6e2ffab55d66 · outbound

This paper cites Openai GPT-3.5.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Openai GPT-3.5

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:48:15.914753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.654918Z digest=sha256:afb3ef02a1f5c5a6b47b3654bcc3a39697873f9ebb4bf78e4c2b60d298620c3a

Observation ae452bea-29c0-4097-9412-040e25fd3ac5 · outbound

This paper cites Openai GPT-4.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Openai GPT-4

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:48:15.754783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.684814Z digest=sha256:d20a00667a1a5790aeed9635ecd2584fe0fa0ac4b500585152de7fb150d77da9

Observation 9f283612-d62c-4c40-9e98-39bc69367c92 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:48:15.604766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.716876Z digest=sha256:8e7133fa786a703e093fd1aaaf390b64eee66ead062a919085771ce52799d501

Observation 5b959f0b-7705-4e6e-9cbd-f36ebcec90e3 · outbound

This paper cites an unresolved cited work.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Unresolved cited work

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T20:48:15.494300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:48:13.756330Z digest=sha256:4bf4bfeafec2da6608216365c5b2964fc1fece02d645000631149af4d88a176c

Observation c800da4b-2703-428b-8724-2a84115fd165 · outbound

This paper cites AutoTimes: Autoregressive Time Series Forecasters via Large Language Models.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:12.804827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:12.804827Z digest=sha256:3cd6f98c3b2c69493caa10a4f1dff76c40743ae1795a342b0de399a86b7dd218

Pith citing papers

Observation 8d039909-7313-4681-90d4-d7c393cf457d · inbound

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models cites this paper.

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding

Reference 139

Resolution
unresolved
no resolver link, observed 2026-08-04T16:49:34.947744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:49:34.947744Z digest=sha256:91c7699e631d913679e2eefc69721e9358689fb74efe3a119fd41ba02ffbbf67

Observation 8ebef065-e1b6-4c0b-85c6-f4cb2cde0ea1 · inbound

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection cites this paper.

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:23:13.471248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-29T06:57:32.468829Z digest=sha256:e9deac592c116436976b0b2a6de448ecee3c9f1d00c7962f499e6e98d1879a03