Paper Citation Record · LEDGER

Fixed Universal Transformers

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.31423.

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

pith.paper-citation-record.v1
2605.31423 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:24:18.984754Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact2
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b39f9bef-c916-41b9-8dab-d4d99d3463bc · outbound

This paper cites On scram- bling phenomena for randomly initialized recurrent networks.Advances in Neural Information Processing Systems, 35:18501–18513, 2022.

Fixed Universal Transformers On scram- bling phenomena for randomly initialized recurrent networks.Advances in Neural Information Processing Systems, 35:18501–18513, 2022

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ab454d-0794-4e1e-97b2-b69546baca09 · outbound

This paper cites Model reprogramming: Resource-efficient cross-domain machine learning.

Fixed Universal Transformers Model reprogramming: Resource-efficient cross-domain machine learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cd8a32e-205d-49d5-a08f-f3024413ea3a · outbound

This paper cites The lottery ticket hypothesis for pre-trained bert networks.

Fixed Universal Transformers The lottery ticket hypothesis for pre-trained bert networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ff3a7c0-5cdf-4cbb-84e6-eeef43cb6143 · outbound

This paper cites Schützenberger.

Fixed Universal Transformers Schützenberger

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55c42335-e5b2-4364-9a98-464c603afa1e · outbound

This paper cites Turing completeness of bounded-precision recurrent neural networks.

Fixed Universal Transformers Turing completeness of bounded-precision recurrent neural networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47aa43b9-25f0-480e-be23-47715ca7e624 · outbound

This paper cites Approximation by superpositions of a sigmoidal function.Mathematics of Control, Signals and Systems, 2(4):303–314, 1989.

Fixed Universal Transformers Approximation by superpositions of a sigmoidal function.Mathematics of Control, Signals and Systems, 2(4):303–314, 1989

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df515ed9-9a51-42c1-a084-be2b6fcea8f9 · outbound

This paper cites Uni- versal transformers.

Fixed Universal Transformers Uni- versal transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 028dea82-b222-470e-bee6-0ef6955c05fe · outbound

This paper cites Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer.

Fixed Universal Transformers Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:50.217756Z

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.

Observation 785e7f36-9e29-44a3-a70f-a27b6bc5340c · outbound

This paper cites A mathematical framework for transformer circuits.Transformer Circuits Thread,.

Fixed Universal Transformers A mathematical framework for transformer circuits.Transformer Circuits Thread,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f559750d-91b7-4426-bbe7-477ba37a304d · outbound

This paper cites an unresolved cited work.

Fixed Universal Transformers Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492026aa-e08e-4650-b39a-a6739c73a89e · outbound

This paper cites The lottery ticket hypothesis: Finding sparse, trainable neural networks.

Fixed Universal Transformers The lottery ticket hypothesis: Finding sparse, trainable neural networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b2c092-4462-4b0d-ab9c-c277531dcb80 · outbound

This paper cites On the approximate realization of continuous mappings by neural networks.

Fixed Universal Transformers On the approximate realization of continuous mappings by neural networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ce1dca-a688-4401-b7e5-d6592ea3ea1e · outbound

This paper cites Looped transformers as programmable computers.

Fixed Universal Transformers Looped transformers as programmable computers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f2d249a-8314-4080-ab2f-ba8092f60d71 · outbound

This paper cites Multilayer feedforward networks are universal approximators.Neural Networks, 2(5):359–366, 1989.

Fixed Universal Transformers Multilayer feedforward networks are universal approximators.Neural Networks, 2(5):359–366, 1989

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f285d7b3-c029-4e2e-ab10-26e63789eaf0 · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Fixed Universal Transformers Neural tangent kernel: Convergence and generalization in neural networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0044ef4b-b98c-444b-abd0-a647e32547bf · outbound

This paper cites echo state.

Fixed Universal Transformers echo state

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5033a629-bc10-4d20-84f7-15e27a4172af · outbound

This paper cites Real-time computing without stable states: A new framework for neural computation based on perturbations.Neural compu- tation, 14(11):2531–2560, 2002.

Fixed Universal Transformers Real-time computing without stable states: A new framework for neural computation based on perturbations.Neural compu- tation, 14(11):2531–2560, 2002

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e765b4cd-8c48-4e5a-965d-47e4724a6a49 · outbound

This paper cites Priors for infinite networks.

Fixed Universal Transformers Priors for infinite networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f808248d-018d-47ac-9a18-82fe49bbeaca · outbound

This paper cites In-context learning and induction heads.Transformer Circuits Thread, 2022.

Fixed Universal Transformers In-context learning and induction heads.Transformer Circuits Thread, 2022

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5ed6b84-e40e-4603-9703-5207be7ee245 · outbound

This paper cites The strong lottery ticket hypothesis for multi-head attention mechanisms.

Fixed Universal Transformers The strong lottery ticket hypothesis for multi-head attention mechanisms

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d0be849-3e0c-413c-966a-a4243f8f4804 · outbound

This paper cites Random features for large-scale kernel machines.

Fixed Universal Transformers Random features for large-scale kernel machines

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83fe68b5-c459-4489-9cee-664cf075ea2f · outbound

This paper cites Transformers, parallel computation, and logarithmic depth.

Fixed Universal Transformers Transformers, parallel computation, and logarithmic depth

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b759546-2cbd-4c3c-b72e-58591d956aa5 · outbound

This paper cites On the computational power of neural nets.

Fixed Universal Transformers On the computational power of neural nets

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97cd2dd1-00f9-4983-9f55-8978d707f7bc · outbound

This paper cites an unresolved cited work.

Fixed Universal Transformers Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56089b7b-0745-4b24-a28d-02b7943703d6 · outbound

This paper cites Universal circuits (preliminary report).

Fixed Universal Transformers Universal circuits (preliminary report)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc555fa8-b900-4f62-b599-659767e16bfd · outbound

This paper cites Statistically meaningful approximation: a case study on approximating turing machines with transformers.Advances in Neural Information Processing Systems, 35:12071–12083, 2022.

Fixed Universal Transformers Statistically meaningful approximation: a case study on approximating turing machines with transformers.Advances in Neural Information Processing Systems, 35:12071–12083, 2022

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf5f2db0-1fb7-4b66-b4e9-4598303c4fef · outbound

This paper cites V oice2series: Reprogramming acoustic models for time series classification.

Fixed Universal Transformers V oice2series: Reprogramming acoustic models for time series classification

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da1263e1-73d8-43a7-b105-d144f5edc615 · outbound

This paper cites Self-attention networks can process bounded hierarchical languages.

Fixed Universal Transformers Self-attention networks can process bounded hierarchical languages

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d411aa7-84f3-44a2-8469-fcab6c74e825 · outbound

This paper cites URL https://acla nthology.org/2021.acl-long.292/.

Fixed Universal Transformers URL https://acla nthology.org/2021.acl-long.292/

Reference 29

Resolution: verified exact; doi, observed 2026-06-28T23:32:46.868059Z

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.

Observation 5427f25e-d3a2-4b73-99cf-af5f8af089f8 · outbound

This paper cites Are transformers universal approximators of sequence-to-sequence functions? InInternational Conference on Learning Representations, 2020.

Fixed Universal Transformers Are transformers universal approximators of sequence-to-sequence functions? InInternational Conference on Learning Representations, 2020

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b7bbe2-fb03-4ab6-8cb8-57bdf34bee39 · outbound

This paper cites ?” followed by the target answer token. The answer is “).

Fixed Universal Transformers ?” followed by the target answer token. The answer is “)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T23:24:18.984754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.