Paper Citation Record · LEDGER

Uncertainty Quantification in the Tsetlin Machine

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.04175.

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

pith.paper-citation-record.v1
2507.04175 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:02:02.478839Z

measured 20 of 20 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

20 of 20 outbound references displayed

verified exact1
verified fuzzy15
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31770bfd-0452-4b98-bdcc-6010ee908622 · outbound

This paper cites Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, and Morten Goodwin.

Uncertainty Quantification in the Tsetlin Machine Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, and Morten Goodwin

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:05.367526Z

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 35e35f7b-a47b-4817-89dc-09cd6518a8f0 · outbound

This paper cites Darshana Abeyrathna, Ahmed A.

Uncertainty Quantification in the Tsetlin Machine Darshana Abeyrathna, Ahmed A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:05.219307Z

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 5d404133-7080-46bf-ace8-9de857b7e153 · outbound

This paper cites Massively parallel and asynchronous Tsetlin Machine architecture supporting almost constant-time scaling.

Uncertainty Quantification in the Tsetlin Machine Massively parallel and asynchronous Tsetlin Machine architecture supporting almost constant-time scaling

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:05.089457Z

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 a5b900e7-fffb-4959-9ad7-91fdaae63e26 · outbound

This paper cites Tsetlin Machine embedding: Representing words using logical expressions.

Uncertainty Quantification in the Tsetlin Machine Tsetlin Machine embedding: Representing words using logical expressions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:04.694129Z

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 9f66ce08-249a-4845-8ed7-183f23874cae · outbound

This paper cites The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic.

Uncertainty Quantification in the Tsetlin Machine The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:01.307122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39b2058d-e403-4720-99fb-b87be5704c51 · outbound

This paper cites The Convolutional Tsetlin Machine.

Uncertainty Quantification in the Tsetlin Machine The Convolutional Tsetlin Machine

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:01.386322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84dc3679-0e9f-4db7-9626-8fcb9bffba51 · outbound

This paper cites Smørvik, and Ole-Christoffer Granmo.

Uncertainty Quantification in the Tsetlin Machine Smørvik, and Ole-Christoffer Granmo

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:02:02.780861Z

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 159d92fe-8c81-422c-a196-07a3f936eee6 · outbound

This paper cites Interpretable rule-based architecture for GNSS jamming signal classification.

Uncertainty Quantification in the Tsetlin Machine Interpretable rule-based architecture for GNSS jamming signal classification

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:04.504256Z

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 36b08cec-4d7d-4485-9d6f-bfb370f49d65 · outbound

This paper cites Darshana Abeyrathna.

Uncertainty Quantification in the Tsetlin Machine Darshana Abeyrathna

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:04.348183Z

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 74695b82-b746-492c-b775-6532d03f39a9 · outbound

This paper cites Learning multiple layers of features from tiny images.

Uncertainty Quantification in the Tsetlin Machine Learning multiple layers of features from tiny images

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:04.176875Z

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 82861bd6-44e0-4c2e-a674-26caf66f6ae6 · outbound

This paper cites REDRESS: Generating compressed models for edge inference using Tsetlin Machines.

Uncertainty Quantification in the Tsetlin Machine REDRESS: Generating compressed models for edge inference using Tsetlin Machines

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:01.725371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320749f9-1ce9-4179-9915-271e96a07d8a · outbound

This paper cites Pedregosa, G.

Uncertainty Quantification in the Tsetlin Machine Pedregosa, G

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:01.838178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd794284-238e-4e7a-bb04-da346635d2c4 · outbound

This paper cites FedTMOS : Efficient one-shot federated learning with T setlin machine.

Uncertainty Quantification in the Tsetlin Machine FedTMOS : Efficient one-shot federated learning with T setlin machine

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:04.042237Z

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 f9d6ac20-75cf-49e5-b1fd-0e5fd1db81ac · outbound

This paper cites Zadorozhny, and Morten Goodwin.

Uncertainty Quantification in the Tsetlin Machine Zadorozhny, and Morten Goodwin

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:03.882915Z

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 81f46b38-f3bf-41c8-af59-5ab88321af21 · outbound

This paper cites Tsetlin Machine for solving contextual bandit problems.

Uncertainty Quantification in the Tsetlin Machine Tsetlin Machine for solving contextual bandit problems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:03.736945Z

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 4e27750b-7c0b-4f48-8fdc-cde2b9d42f89 · outbound

This paper cites Drop clause: Enhancing performance, robustness and pattern recognition capabilities of the Tsetlin Machine.

Uncertainty Quantification in the Tsetlin Machine Drop clause: Enhancing performance, robustness and pattern recognition capabilities of the Tsetlin Machine

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:03.540677Z

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 77411b25-a7ed-4609-b4d0-88ce4e6fd164 · outbound

This paper cites Tsetlin machine-based image classification FPGA accelerator with on-device training.

Uncertainty Quantification in the Tsetlin Machine Tsetlin machine-based image classification FPGA accelerator with on-device training

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:03.362772Z

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 7158d633-647f-417b-bb7a-20fab1b4988e · outbound

This paper cites Human-level interpretable learning for aspect-based sentiment analysis.

Uncertainty Quantification in the Tsetlin Machine Human-level interpretable learning for aspect-based sentiment analysis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:03.210791Z

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 49a6945f-6660-41d5-873e-f102f57c4dd6 · outbound

This paper cites Robust interpretable text classification against spurious correlations using and-rules with negation.

Uncertainty Quantification in the Tsetlin Machine Robust interpretable text classification against spurious correlations using and-rules with negation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:03.067261Z

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 13ed0b88-2508-4c76-b2f8-8838fab1e7d3 · outbound

This paper cites On the convergence of Tsetlin machines for the IDENTITY - and NOT Operators.

Uncertainty Quantification in the Tsetlin Machine On the convergence of Tsetlin machines for the IDENTITY - and NOT Operators

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:02.946386Z

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.

Pith citing papers

No inbound Pith citation observations are available.