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Paper Citation Record · LEDGER

Byte Pair Encoding for Efficient Time Series Forecasting

As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 3 inbound Pith citation observations for arXiv:2505.14411.

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

pith.paper-citation-record.v1
2505.14411 v4

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:36.667881Z

measured 19 of 19 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:02:27.847432Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:39:00.174243Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ca19f25-55f4-4b53-bdf1-738b33dec5c1 · outbound

This paper cites Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version.

Byte Pair Encoding for Efficient Time Series Forecasting Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:35.232955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:35.232955Z digest=sha256:ef714b1df64140f2d5906290854f1c57d24be7e6e4d3df20642d343fdc129fd6

Observation 8d185b75-78fc-4b89-afb2-588727a9faf4 · outbound

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

Byte Pair Encoding for Efficient Time Series Forecasting A decoder-only foundation model for time-series forecasting

Reference 4

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unresolved
no resolver link, observed 2026-08-07T15:39:35.406405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:35.406405Z digest=sha256:0c875b061a76cfceea311a444ed9e1e3fc67ce1ddec2b187d5e4e8b395cf9b99

Observation 3a2a3020-747e-48b4-919a-6e1d3953e1cb · outbound

This paper cites Multidimensional Byte Pair Encoding: Shortened Sequences for Improved Visual Data Generation.

Byte Pair Encoding for Efficient Time Series Forecasting Multidimensional Byte Pair Encoding: Shortened Sequences for Improved Visual Data Generation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:39:37.205007Z

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.

source=pdf_text observed=2026-08-07T15:39:35.498461Z digest=sha256:f9e5f8831aa7e63edbe55ae9508a2612568d6d7b50a1604fb8d33379d1385009

Observation a8a0ee13-8c53-4301-9c12-6f7c120df91b · outbound

This paper cites TimeGPT-1.

Byte Pair Encoding for Efficient Time Series Forecasting TimeGPT-1

Reference 6

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unresolved
no resolver link, observed 2026-08-07T15:39:35.611785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:35.611785Z digest=sha256:5b781d79917293566d8365bb6d062962bce0118ee9cfe97cee5f5ae203b7b785

Observation a349a50e-5bdb-4de4-a0bb-af5a86202ad3 · outbound

This paper cites We utilize this method throughout our paper.

Byte Pair Encoding for Efficient Time Series Forecasting We utilize this method throughout our paper

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:39:37.876320Z

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.

source=pdf_text observed=2026-08-07T15:39:36.380997Z digest=sha256:9826ca545f2c02ce2b84662b17cf0ee5bba4b5df9eb0ff4705fa291501197313

Observation 8b9f9325-da59-4efa-b025-58b2585ae0a9 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

Byte Pair Encoding for Efficient Time Series Forecasting Unified Training of Universal Time Series Forecasting Transformers

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:36.065120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:36.065120Z digest=sha256:d8b6073ca525510a4a4089399a294039f95f702f7cc854fc5a024b4ea1de2daa

Observation cc66aac3-070d-4b0e-9bb9-4bbdd020d084 · outbound

This paper cites An adaptive tokenization approach for time series We provide pseudocode for generating a vocabulary of motifs and utilizing the motifs to tokenize a time series.

Byte Pair Encoding for Efficient Time Series Forecasting An adaptive tokenization approach for time series We provide pseudocode for generating a vocabulary of motifs and utilizing the motifs to tokenize a time series

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:39:38.295822Z

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.

source=pdf_text observed=2026-08-07T15:39:36.183098Z digest=sha256:3c0c0408f72d9c1427251a9c9dc734ddabd945a71d46a0856bb183ed238cf5aa

Observation 0a88bc09-7094-475a-9f0b-8c7a0775f24d · outbound

This paper cites an unresolved cited work.

Byte Pair Encoding for Efficient Time Series Forecasting Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:39:37.657720Z

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.

source=pdf_text observed=2026-08-07T15:39:36.560703Z digest=sha256:3f622b0cfc2b6236b8c4493f510b2c0f48b40df5ba83573dee288a6e047210a3

Observation 1e362bed-0673-4ebc-aee1-8e5c29b90e77 · outbound

This paper cites In19out of25cases, our foundation model in zero-shot setting outperforms the specifically trained models in forecasting quality.

Byte Pair Encoding for Efficient Time Series Forecasting In19out of25cases, our foundation model in zero-shot setting outperforms the specifically trained models in forecasting quality

Reference 14

Resolution
verified exact
raw_fallback, observed 2026-08-07T15:39:36.981440Z

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.

source=pdf_text observed=2026-08-07T15:39:36.442382Z digest=sha256:9d348400d8ae431d2f829ee3f907287be60c1420556a1f61c76287c56bcebc3e

Observation 2f715625-6b23-4c11-bf41-5b5697d7f775 · outbound

This paper cites an unresolved cited work.

Byte Pair Encoding for Efficient Time Series Forecasting Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-07T15:39:37.462868Z

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.

source=pdf_text observed=2026-08-07T15:39:36.667881Z digest=sha256:38c5e78a591cad4d58294d83bdf0df4014f7d3c59926d07b0e9de6f9987dc3f0

Observation 8e0f7813-3f51-4151-b4a2-80c1051a844b · outbound

This paper cites J., and Günnemann, S.

Byte Pair Encoding for Efficient Time Series Forecasting J., and Günnemann, S

Reference 1999

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:39:38.477963Z

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.

source=pdf_text observed=2026-08-07T15:39:35.896447Z digest=sha256:5dfb231d108cb338b947156a0b831f0bf7f6339c146606e07ffcd263aa399af7

Observation d3d34eef-efad-4bc1-8e59-0306bf14b959 · outbound

This paper cites Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts.

Byte Pair Encoding for Efficient Time Series Forecasting Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

Reference 2003

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:35.697678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:35.697678Z digest=sha256:a32d696b9ba90ce9818be86aa782b303adf3c816a002092bd1b3299adaebde81

Observation 3bc6f4b9-eb88-4825-bfbb-a1ca595a36a5 · outbound

This paper cites an unresolved cited work.

Byte Pair Encoding for Efficient Time Series Forecasting Unresolved cited work

Reference 2015

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:39:38.081623Z

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.

source=pdf_text observed=2026-08-07T15:39:36.313049Z digest=sha256:1a38dbd038c7b467b3aec48241aba7061f5e14fcd24a7bf09af780abf6815edc

Observation f5c0dcfa-8fe2-44c2-9ae1-9c7d189cb563 · outbound

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

Byte Pair Encoding for Efficient Time Series Forecasting Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 2020

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unresolved
no resolver link, observed 2026-08-07T15:39:35.814337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:35.814337Z digest=sha256:2a9c433608d868993b86dce4706e2dfb4eaa4e1442a473588841c173d8c90d2e

Observation fa07e76c-a40e-4096-9138-4733a9355977 · outbound

This paper cites Toto: Time Series Optimized Transformer for Observability.

Byte Pair Encoding for Efficient Time Series Forecasting Toto: Time Series Optimized Transformer for Observability

Reference 2022

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unresolved
no resolver link, observed 2026-08-07T15:39:35.321970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:35.321970Z digest=sha256:01e7fb0ece5046339632a9d8eb90f63c25e7b0ab3f4643b3d5ca66ec8523d726

Observation 2c73ec07-d7c4-4fbe-adc7-0a4feecbf64e · outbound

This paper cites Tirex: Zero-shot forecasting across long and short horizons with enhanced in-context learning.arXiv:2505.23719,.

Byte Pair Encoding for Efficient Time Series Forecasting Tirex: Zero-shot forecasting across long and short horizons with enhanced in-context learning.arXiv:2505.23719,

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:35.183278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:35.183278Z digest=sha256:ac6f4a7945926c7464456947807f1074e347d716f72675cba2e8d64b480cabcd

Pith citing papers

Observation 63e302c0-0845-4f41-ab0f-8cc6d559c1f1 · inbound

Effective Data Pruning through Score Extrapolation cites this paper.

Effective Data Pruning through Score Extrapolation Byte Pair Encoding for Efficient Time Series Forecasting

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:02:27.847432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:27.847432Z digest=sha256:ec08dd4526a78feea476c27e5880a233e02171328d5a43dda5ce236878abb0de

Observation bb3d7871-6be5-446a-8eb0-2c36cc3176b1 · inbound

Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals cites this paper.

Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals Byte Pair Encoding for Efficient Time Series Forecasting

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-02T03:04:32.503545Z

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.

source=arxiv_source observed=2026-05-15T05:43:53.888108Z digest=sha256:9772d2e7ebfb595ab167fb97c5ff798e1dac140fe0ed96c871204c07a7a5fadc

Observation 46527c31-71d6-4d72-af81-11152e727b6d · inbound

Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals cites this paper.

Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals Byte Pair Encoding for Efficient Time Series Forecasting

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-02T03:04:32.503545Z

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.

source=arxiv_source observed=2026-05-20T20:36:32.421050Z digest=sha256:e63b2398ec595989a10b1ce70539a95293709cc0c16dc880c3736757f306a015