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Paper Citation Record · LEDGER

Byte Pair Encoding for Efficient Time Series Forecasting

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:5c24ec0992d3c2fa16b8685de46d6fbc8fc624954d5c36bda91636ea7be9ee57

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:ce99b0da6db2ff75861968ad51c79cbde250b86c552a58398aad9761fa19df62

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:39:35.498461Z digest=sha256:53f92a1a0e00d014e380c77e3508fae6105dc4e0d8fddaa4ec64aa69583aade3

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=sha256:589b93551b7e1a444bcb325ba48dbc99c2c6cffa42a00abc23b76020edd21bd5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:39:36.380997Z digest=sha256:6907e2461cfc4fd3b6a96901b21b47a3e26e892d199009f00572a7d9de8e16dd

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=sha256:87545a3368cd48429c7eeb1dcad68116f6d68b55038722ef2dd1ad35d2b5d21e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:39:36.183098Z digest=sha256:4f054323616ccbe0f6d4cca1799be84c9a364b756ec4448d9549b4d7eed9574b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:39:36.560703Z digest=sha256:6ae5cbbddf11af4b6ea1beda8f8bdbccdf5fe7b3f84a9cad8c4f4ee4430abad6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:39:36.442382Z digest=sha256:fb4e72c6eb6d22c0728d18b81f1151b5e0fd82a6612d53b6629b6632578addf8

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:39:36.667881Z digest=sha256:e55295ea3dc151a7a01c82d9a63e36d47d12f66d6a467620fa74ef9b22d4578f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:39:35.896447Z digest=sha256:9bf5839ba93b7ad1974f48cc2f2c8ee53d4e666e0faa27416bcd3565ef5acac9

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=sha256:91ac15b23f1df8fcd40bfb159406ad405de2f1f171c395ed56d47125e785f40c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:39:36.313049Z digest=sha256:96099f91ee456cddfabd238be7281b146755dd38f79a7ab9353b5690d40a80ce

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=sha256:18cb8655fe725b83f83c10c1adf9f35abeffe2bfe5fba629fced94c9811968b4

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=sha256:4fc332e775762889348f3bbab9630e01eaa1d6f900179bb40a6490f4838ce52a

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=sha256:13d71c34f7e84f5c681b11b99149189c8ae760ebee2d59a8587c95912fa0fab9

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=sha256:44263f4cc1e0ea743910c8c2a216a43e1bf9cfef4e1fe81dd4626374f7ddb907

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T05:43:53.888108Z digest=sha256:e050b1a0f7c04e6be739dd8cdab8cb6294176a1e62ad6623d9bb1b5123072a1f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T20:36:32.421050Z digest=sha256:5319d2cc45ec20e10ba80f7191778d9747be96616e702e7cbef29c75c7199ba2