Paper Citation Record · LEDGER

Sparse Universal Transformer

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.07096.

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

pith.paper-citation-record.v1
2310.07096 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:39:00.595174Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a2d3fe08-a48c-471b-b640-ab8b7f6c7f23 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Sparse Universal Transformer

Reference 155

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:39:41.255189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0be0c23a-6cb7-4995-b056-ce92355cf768 · inbound

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought cites this paper.

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought Sparse Universal Transformer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:00.595174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab0ce862-3641-43fd-9ce8-d63ad246e22e · inbound

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models cites this paper.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Sparse Universal Transformer

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:33.936497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ed81d44-6c50-469f-a527-93f5abc623aa · inbound

CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization cites this paper.

CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization Sparse Universal Transformer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T23:30:19.371718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35dbbb7e-74bb-490c-bb38-c6a64843d132 · inbound

A Mechanistic Analysis of Looped Reasoning Language Models cites this paper.

A Mechanistic Analysis of Looped Reasoning Language Models Sparse Universal Transformer

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.824241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56fcce78-22b8-4cf2-8147-4b9a1f06175a · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Sparse Universal Transformer

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:32:46.619264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a974770-1c34-4754-b674-a8f626475410 · inbound

Reproducing Recurrent Transformers: The CoTFormer cites this paper.

Reproducing Recurrent Transformers: The CoTFormer Sparse Universal Transformer

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:42.340432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.