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Paper Citation Record · LEDGER

What Formal Languages Can Transformers Express? A Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:27:33.602672Z

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 3b5fceb4-cc64-4918-9a6b-9ac1f439a8df · inbound

Learning Elementary Cellular Automata with Transformers cites this paper.

Learning Elementary Cellular Automata with Transformers What Formal Languages Can Transformers Express? A Survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T04:27:33.602672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:27:33.602672Z digest=sha256:904de61de34900be6d3d800a02d531e199a6b7eb37fe02d4620ceea97051ad4d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-19T04:08:11.344622Z digest=sha256:dfee8dfad11d656fcd34b13b3585158c4921457179c0ba90a333c97339ff149f

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.

source=pdf_text observed=2026-08-06T15:54:33.692930Z digest=sha256:0c768439ea3f17ad82775bb5dad371f2c566c212f1608fe56383c098a3ff5ea0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T20:49:26.966293Z digest=sha256:481bff5667b05eb5427324abe1ab8317473a320893584b53843afde6b685ba11

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T08:06:25.436395Z digest=sha256:ba59f9551fd0324192c6fb9babd1a8bcb288d7e22500181eed981bdcdb3f6e6d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-21T00:33:22.181383Z digest=sha256:2dcc27de134bfa2f3b549f5132700a25b6b9c2ea1c807cb6a7b4cb6ebbaf5130

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T06:01:03.524290Z digest=sha256:2624ee77694194eff8c7d06fe4ee244536ff182c58b45a7e1e2fbdb08f4eca80

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T17:22:30.861739Z digest=sha256:7359e1c76d38d8c5c5722af490b80c0b870ff38217d56af7190d5b41baf95c1a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T16:17:26.354663Z digest=sha256:3df59e2e2d2aa2c40f15e0734429e70b887161f03d2e2732f3d2b52c24c5e047

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

When Does Reward Teach State? A Hidden-Automaton Instrument and a Group-Language Warning Signal cites this paper.

When Does Reward Teach State? A Hidden-Automaton Instrument and a Group-Language Warning Signal 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.

source=arxiv_source observed=2026-08-02T07:20:39.658158Z digest=sha256:3bb39b76e4ed24d3e8e7aaa1d1dbd183fbf223ceda63e5c6a8a610f58c8b3788