Paper Citation Record · LEDGER

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging

As of 21 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2601.05713.

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

pith.paper-citation-record.v1
2601.05713 v2

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:26:17.777990Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 812f225b-6d1c-474e-b58c-b9a0acf1a493 · outbound

This paper cites Embedding Projector: Interactive Visualization and Interpretation of Embeddings.

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging Embedding Projector: Interactive Visualization and Interpretation of Embeddings

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T06:26:17.475752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26f5e213-0f1c-4879-a6c0-a91bb0f10437 · outbound

This paper cites Pruning General Large Language Models into Customized Expert Models.

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging Pruning General Large Language Models into Customized Expert Models

Reference 1513

Resolution: malformed identifier; no resolver link, observed 2026-08-04T06:26:17.777990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf4ad9d-e44f-49e5-9e95-70a2994de494 · outbound

This paper cites Publisher: Elsevier.

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging Publisher: Elsevier

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-04T06:26:16.719628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 719c4c5e-169d-4f63-a5f9-e8a543669a3c · outbound

This paper cites Association for Computational Linguistics.

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging Association for Computational Linguistics

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T06:26:16.990468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1738966d-2fd6-4725-a6b3-99c7994674d9 · outbound

This paper cites Longformer: The Long-Document Transformer.

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging Longformer: The Long-Document Transformer

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T06:26:16.855008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc7e2ae-59e3-42e9-b982-6fba5a4dc6e6 · outbound

This paper cites Lorenzo Pini, Michela Pievani, Martina Bocchetta, Daniele Altomare, Paolo Bosco, Enrica Cavedo, Samantha Galluzzi, Moira Marizzoni, and Gio- vanni B.

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging Lorenzo Pini, Michela Pievani, Martina Bocchetta, Daniele Altomare, Paolo Bosco, Enrica Cavedo, Samantha Galluzzi, Moira Marizzoni, and Gio- vanni B

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T06:26:17.308294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7479e45c-b34a-4382-b9a5-6fa88c6e5d88 · outbound

This paper cites What do you learn from context? Probing for sentence structure in contextualized word representations.

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging What do you learn from context? Probing for sentence structure in contextualized word representations

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T06:26:17.637119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a7b7ffe-8b8d-400f-b109-7c11878128b6 · outbound

This paper cites Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference.

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T06:26:17.122813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.