Paper Citation Record · LEDGER

When can isotropy help adapt LLMs' next word prediction to numerical domains?

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.17135.

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

pith.paper-citation-record.v1
2505.17135 v4

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:52.504548Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy2
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0bc10e2-cc14-4ece-b889-c70b747eeabb · outbound

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

When can isotropy help adapt LLMs' next word prediction to numerical domains? Chronos: Learning the Language of Time Series

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:51.837623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd321e73-4f1f-4080-8a03-9e661eb963f0 · outbound

This paper cites Large Language Models Are Zero-Shot Time Series Forecasters.

When can isotropy help adapt LLMs' next word prediction to numerical domains? Large Language Models Are Zero-Shot Time Series Forecasters

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:52.131991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 716995c2-1dda-4d4b-9013-2edf51f8e8f3 · outbound

This paper cites Jiaqi Mu and Pramod Viswanath.

When can isotropy help adapt LLMs' next word prediction to numerical domains? Jiaqi Mu and Pramod Viswanath

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T15:09:52.985641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c76d0102-3221-45f7-b6a2-149fa04c746b · outbound

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

When can isotropy help adapt LLMs' next word prediction to numerical domains? Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:52.227014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e42048-78d4-41a2-93a7-d42f057c30cf · outbound

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

When can isotropy help adapt LLMs' next word prediction to numerical domains? Unified Training of Universal Time Series Forecasting Transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:52.339883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485a900d-5f30-43e6-8537-f9657e2b5b99 · outbound

This paper cites doi: 10.1109/MNET.2024.3427313.

When can isotropy help adapt LLMs' next word prediction to numerical domains? doi: 10.1109/MNET.2024.3427313

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:52.394426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f64a7447-6959-403b-9068-83006cbed4e5 · outbound

This paper cites an unresolved cited work.

When can isotropy help adapt LLMs' next word prediction to numerical domains? Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:09:53.421018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7984bf4-de21-4ad9-b929-172f937c9b15 · outbound

This paper cites After performing K-means clustering, each observation p (i.e., one of the J vector representations in V) is assigned to one of C clusters.

When can isotropy help adapt LLMs' next word prediction to numerical domains? After performing K-means clustering, each observation p (i.e., one of the J vector representations in V) is assigned to one of C clusters

Reference 1987

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:53.284786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b72ad0f-9538-44c7-87b8-eca973075e96 · outbound

This paper cites doi: 10.1162/tacl_a_00106.

When can isotropy help adapt LLMs' next word prediction to numerical domains? doi: 10.1162/tacl_a_00106

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:51.921252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca6cd2c2-6c76-430f-898b-21ef070d719f · outbound

This paper cites Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, and Doyen Sahoo.

When can isotropy help adapt LLMs' next word prediction to numerical domains? Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, and Doyen Sahoo

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:53.576214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d307a292-d4e8-4b86-8ce0-d11e97b4e2a5 · outbound

This paper cites ForecastPFN: Synthetically-Trained Zero-Shot Forecasting.

When can isotropy help adapt LLMs' next word prediction to numerical domains? ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:51.984783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d0bac1d-27dc-4e3e-b8b4-0ae36e08de12 · outbound

This paper cites TimeGPT-1.

When can isotropy help adapt LLMs' next word prediction to numerical domains? TimeGPT-1

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:52.058405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.