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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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.

source=pdf_text observed=2026-08-07T15:09:51.837623Z digest=sha256:107e59d057806aa07bd1d1d0afbbd9f892bff5779789202d4c8069634a62859f

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.

source=pdf_text observed=2026-08-07T15:09:52.131991Z digest=sha256:ee4f6c84a9dcc49761df77df05d92a5bc18093c3c99ebd4e91522f49753bd345

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:52.178631Z digest=sha256:329aa08ac80e1da93dc368aed72b009c74a1384643fddb7899d3e41499f036b3

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.

source=pdf_text observed=2026-08-07T15:09:52.227014Z digest=sha256:36102b1027a131f2910d1bd0dd0047494b044eab467d5f960251795f91bdaa77

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.

source=pdf_text observed=2026-08-07T15:09:52.339883Z digest=sha256:55bbcd08786e1ed38b2bc01c03021daa9361d3f68623a7872f0258c5c70324fe

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.

source=pdf_text observed=2026-08-07T15:09:52.394426Z digest=sha256:41375b86e7d90d2ca4b7a0dbc2ed7d6aa9ec70c801e6244cff39bd5f2872e894

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:52.449773Z digest=sha256:63a27f22351f1c57fe95b35e936ce8167d2cc1ed44bf49667cd6526446a63ff2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:52.504548Z digest=sha256:d6199c7728c13977ca259405d8500c48b1a6e740878a2bf42e03a4131c1f48eb

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.

source=pdf_text observed=2026-08-07T15:09:51.921252Z digest=sha256:9efa97159c6249dd0e225319c8322ee635808bff4d722e53fab017827f07f5c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:52.275295Z digest=sha256:2c6b3981e1535d5864d8af734a705f88c2fb464629e1c7fe22495eb916d2aeb3

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.

source=pdf_text observed=2026-08-07T15:09:51.984783Z digest=sha256:5acffd4f47eb8ea4ef770e002cc99efd55a3dd420ae9730bf4813a774bd63061

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.

source=pdf_text observed=2026-08-07T15:09:52.058405Z digest=sha256:73e44727f7907966725f478bb68a2e195d679751b0d28d8366f34347bdce7ba1

Pith citing papers

No inbound Pith citation observations are available.