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Paper Citation Record · LEDGER

From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.13512.

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

pith.paper-citation-record.v1
2402.13512 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:40:36.788842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:33:30.508998Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6fc2fd45-3594-4ea4-a46c-66aa660b5735 · inbound

Sentence Curve Language Models cites this paper.

Sentence Curve Language Models From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T05:40:36.788842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:40:36.788842Z digest=sha256:8ced4577feb90cda1ef9fba6de86da1f3731f3c5ea3666cba509e91a7490e32f

Observation 5748ea35-16ae-48dd-b5ca-f525e9a4bfd1 · inbound

Can Transformers predict system collapse in dynamical systems? cites this paper.

Can Transformers predict system collapse in dynamical systems? From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:41:31.571651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T03:58:36.225134Z digest=sha256:0d8698ce4fec7a4ac3233a5fdfaa2e7aeec167144b3d9d9140fc34d3d7349ce1

Observation 6d84d898-4ffd-4fd6-afe4-e579525d3cbc · inbound

The Transformer as a Polar State Estimator cites this paper.

The Transformer as a Polar State Estimator From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:17:07.551661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T00:58:28.483037Z digest=sha256:68380296c30dc738c77e477871fb43ece4ce3f36c40ab1fd8d2c94b43b563665

Observation 0762fe4d-91de-4ef3-a47e-867b84516772 · inbound

Transformers Provably Learn to Internalize Chain-of-Thought cites this paper.

Transformers Provably Learn to Internalize Chain-of-Thought From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T14:33:30.510847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T14:29:10.010212Z digest=sha256:ffe4cdb537159d81d271b540ce2d653219b04aea9db5cf096fb5480887606136

Observation bfa3c9b4-9c7b-433c-a751-791cf2aefea2 · inbound

Modeling Memory-Dependent Reliability of LLMs: A Hidden Markov Model cites this paper.

Modeling Memory-Dependent Reliability of LLMs: A Hidden Markov Model From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T04:06:16.501989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:06:16.501989Z digest=sha256:510396d9ce106301bc9804a5949832e06a8adb9523b34243e54b93d763d2e4be