Paper Citation Record · LEDGER

What Formal Languages Can Transformers Express? A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2311.00208.

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

pith.paper-citation-record.v1
2311.00208 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:54:33.692930Z

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

2
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 04b549f8-be1d-4686-8222-a758204f3366 · inbound

The Serial Scaling Hypothesis cites this paper.

The Serial Scaling Hypothesis What Formal Languages Can Transformers Express? A Survey

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:12:02.422756Z

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 870460b6-eafa-40f6-bb2e-45df5a873f85 · inbound

Rethinking Memorization Measures and their Implications in Large Language Models cites this paper.

Rethinking Memorization Measures and their Implications in Large Language Models What Formal Languages Can Transformers Express? A Survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:33.692930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f721ef5-a11f-4194-9587-65393a9510db · inbound

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling cites this paper.

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling What Formal Languages Can Transformers Express? A Survey

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:51:50.800938Z

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 beb7c694-548c-4ee0-85c4-2dc947e88aad · inbound

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective cites this paper.

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective What Formal Languages Can Transformers Express? A Survey

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:12.460476Z

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 86392076-4b03-45c9-b6cf-00d9625b697f · inbound

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective cites this paper.

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective What Formal Languages Can Transformers Express? A Survey

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:33:52.606884Z

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 d0e959a9-10e7-48b6-9b55-125d22cbd0f4 · inbound

A Sharper Picture of Generalization in Transformers cites this paper.

A Sharper Picture of Generalization in Transformers What Formal Languages Can Transformers Express? A Survey

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:03:59.157339Z

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 bfd6cbfd-34b6-4b82-acd2-a9fe7e57fc9f · inbound

A Sharper Picture of Generalization in Transformers cites this paper.

A Sharper Picture of Generalization in Transformers What Formal Languages Can Transformers Express? A Survey

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:24:56.432550Z

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 819715e6-d98b-4891-bdbe-c05294858e8d · inbound

Causally Evaluating the Learnability of Formal Language Tasks cites this paper.

Causally Evaluating the Learnability of Formal Language Tasks What Formal Languages Can Transformers Express? A Survey

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:47:31.714088Z

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 89348c1a-0030-4524-8785-d0d45c6e03ba · inbound

When Does Reward Teach State? A Hidden-Automaton Instrument and the Group-Language Boundary cites this paper.

When Does Reward Teach State? A Hidden-Automaton Instrument and the Group-Language Boundary What Formal Languages Can Transformers Express? A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T07:20:39.658158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.