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Paper Citation Record · LEDGER

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2308.08241.

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

pith.paper-citation-record.v1
2308.08241 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:22:10.332919Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:17:44.595980Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0254e9fc-7c96-4d1f-981a-c56c2a6e1732 · inbound

Universal Time-Series Representation Learning: A Survey cites this paper.

Universal Time-Series Representation Learning: A Survey TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 188

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:28:53.306423Z

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.

source=pdf_text observed=2026-05-24T04:26:45.527625Z digest=sha256:d1a6fc550218d560c0c27858849eb36cb81474c46076de88af0ff88399964a89

Observation b5719966-3aa6-43e9-b187-84c3ebda61c5 · inbound

TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model cites this paper.

TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T18:22:10.332919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:22:10.332919Z digest=sha256:bf41879ad97bb0ac3feed5d986537bc6f47c336acb8dd666595946e6e5b48690

Observation a1a2dc02-88a8-441b-948b-e8548e74388d · inbound

MoTime: A Dataset Suite for Multimodal Time Series Forecasting cites this paper.

MoTime: A Dataset Suite for Multimodal Time Series Forecasting TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T15:27:21.397057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:21.397057Z digest=sha256:972f3fa3285997110f440089b4f4a04c5999a9884cf365099f59a76db7b9a8fd

Observation 91ed067b-db72-48d9-bc80-a6be46191b80 · inbound

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review cites this paper.

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 200

Resolution
unresolved
no resolver link, observed 2026-08-07T11:49:48.438285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:49:48.438285Z digest=sha256:0b144d4b1308c284772255961a56ea0d5a539427dc5985dbac2a4fc5ecc01233

Observation b62fe885-aa51-4ad5-9ebf-03d63b12b42b · inbound

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:50.679920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:50.679920Z digest=sha256:6d95ccb129c827874af2a8545769453fb466035ce100b1ae2fe7b8a252879b0e

Observation abda9d6e-5505-4bd9-8d7f-2c4a62896087 · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:03.796086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:03.796086Z digest=sha256:ceb2ef4690aaf5e31e0eb6beede323fc807bf64aab0d7308fceb5ff7d72db209

Observation b4432ff7-d64e-4bce-b93a-4fca67f20f6b · inbound

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting cites this paper.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:03.399696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:03.399696Z digest=sha256:7632f3e4da2ec153eff513bdc5b41db613b4e185ecdfe4531825440603a34729

Observation 71f339d1-d383-42a7-a415-1532468f9829 · inbound

MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling cites this paper.

MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:19:27.800250Z

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.

source=pdf_text observed=2026-05-14T20:16:47.340541Z digest=sha256:eba73b9ec60a1238bbb73284e05b648e277087e6a1dc043f6145074582d4a68f

Observation 0d5372ca-04a1-44fe-ad23-32de449a2ce2 · inbound

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series cites this paper.

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:26:16.641771Z

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.

source=pdf_text observed=2026-05-22T08:25:32.231942Z digest=sha256:861369d145f4ea6076a54298ab4dbd285c5282a0e316834b6b3e17f236b72fdf

Observation a62f455e-a384-450f-8ca4-653c19e20a1a · inbound

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:38:43.350765Z

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.

source=arxiv_source observed=2026-07-03T17:34:37.552706Z digest=sha256:d6a9e90d1602438ede95dff4a6ab570f499ae4f3efccd633509f2e061c299cf9

Observation c3cb0a51-7b75-427e-931a-38dbce2aab06 · inbound

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference cites this paper.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T16:35:10.201192Z

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.

source=pdf_text observed=2026-07-08T16:32:28.206898Z digest=sha256:f3f400ee80a679685ae39dbe566f383f63fa8d2a3721b3e3ed2cfcf587e51836

Observation 672fd257-78da-499e-a070-eb2a95c401d6 · inbound

LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting cites this paper.

LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:17:44.619940Z

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.

source=pdf_text observed=2026-07-11T01:17:16.857931Z digest=sha256:4e1d505705ebbb0ab7dd06f19f0273fdaeef42b28c870ca5be7e5fcafc30b7ce