Paper Citation Record · LEDGER

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2508.20211.

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

pith.paper-citation-record.v1
2508.20211 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:19:33.853874Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

13 of 13 outbound references displayed

verified exact1
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 052903ff-e6ac-454b-b15f-9f0be357f460 · outbound

This paper cites Dual filter: A mathematical framework for inference using transformer-like architectures.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Dual filter: A mathematical framework for inference using transformer-like architectures

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:33.808141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25add704-1d48-467d-a8e4-7939f6bc17ed · outbound

This paper cites A general theory of finite state backward stochastic difference equations.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture A general theory of finite state backward stochastic difference equations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:19:34.175274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17a93f9a-25a9-428f-b551-828bcdcc6f16 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:33.815430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8e4c5f3-6373-4530-8727-a1166e98ab94 · outbound

This paper cites Position information in transformers: An overview.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Position information in transformers: An overview

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:33.819410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e5cf9cd-a24e-4df0-a0b6-96c6c0892053 · outbound

This paper cites Backward stochastic difference equations on lattices with application to market equilibrium analysis.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Backward stochastic difference equations on lattices with application to market equilibrium analysis

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:19:34.007198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2245c7dc-ec1d-44ad-bfbb-c47fb45f1c0c · outbound

This paper cites Generating Sequences With Recurrent Neural Networks.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Generating Sequences With Recurrent Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:33.828005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183eb9cd-0e79-425c-b143-9ebdf3a9a175 · outbound

This paper cites an unresolved cited work.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T15:19:34.155145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02909f6a-8cad-4c85-93f0-68f05e9a1e31 · outbound

This paper cites Linear Estimation.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Linear Estimation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:19:34.144367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5fe0ae1e-b59f-4c7c-95b5-599527a56fbc · outbound

This paper cites The arrow of time in estimation and control: Duality theory beyond the linear G aussian model.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture The arrow of time in estimation and control: Duality theory beyond the linear G aussian model

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:19:34.131342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b0562e88-4f4c-41c1-a8ec-3a2a58c086d5 · outbound

This paper cites Formal Algorithms for Transformers.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Formal Algorithms for Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:33.843685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3aa180d-5370-4761-b971-c146d0f97b88 · outbound

This paper cites Build a Large Language Model (From Scratch).

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Build a Large Language Model (From Scratch)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:19:34.118901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 280ca1a5-22b2-42e9-8556-100a3fc1a714 · outbound

This paper cites Attention is all you need.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture Attention is all you need

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:33.850750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95e98115-ca79-405d-bdfb-a840d5c0aa51 · outbound

This paper cites What Is ChatGPT Doing:.

What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture What Is ChatGPT Doing:

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:19:34.099839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.