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Paper Citation Record · LEDGER

Reproducing Recurrent Transformers: The CoTFormer

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.19405.

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

pith.paper-citation-record.v1
2607.19405 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:13:43.311785Z

measured 23 of 23 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 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

23 of 23 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87a1f96c-419e-432f-bc44-c9ce8a5457e3 · outbound

This paper cites The Thirteenth International Conference on Representation Learning (ICLR) , year=.

Reproducing Recurrent Transformers: The CoTFormer The Thirteenth International Conference on Representation Learning (ICLR) , year=

Reference 1

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source=arxiv_source observed=2026-08-02T08:13:40.306751Z digest=sha256:a1337b9ab3774414dc75b8c4e542a91f224bedd32219b24ab3c95f10808169c9

Observation d81b704e-e531-438f-91a5-60ffad75c1b7 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Reproducing Recurrent Transformers: The CoTFormer International Conference on Learning Representations (ICLR) , year=

Reference 2

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source=arxiv_source observed=2026-08-02T08:13:40.441326Z digest=sha256:51cf5a003cfc8a1e7d33169ac3817d4221218ca6e8a7008dedb36ea456ad5922

Observation 725e9475-cc04-47e0-a0c1-78bc0328d147 · outbound

This paper cites arXiv preprint arXiv:2507.02199 , year=.

Reproducing Recurrent Transformers: The CoTFormer arXiv preprint arXiv:2507.02199 , year=

Reference 3

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source=arxiv_source observed=2026-08-02T08:13:40.519176Z digest=sha256:2cd47cd4205b5e31c3bfeffeb2a79f65debcb2f397aa9ec7b1b0f1eec42f2114

Observation adf0cdbb-3b58-4a23-91eb-702c50150802 · outbound

This paper cites arXiv preprint arXiv:2601.10242 , year=.

Reproducing Recurrent Transformers: The CoTFormer arXiv preprint arXiv:2601.10242 , year=

Reference 4

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source=arxiv_source observed=2026-08-02T08:13:40.563499Z digest=sha256:100e86f7799fa22379d53f90cb57df6591e31507f3f18f247c359f9954de1561

Observation 64ae708c-8f4c-4367-af9e-4412a1b07d35 · outbound

This paper cites A Formal Comparison Between Chain of Thought and Latent Thought.

Reproducing Recurrent Transformers: The CoTFormer A Formal Comparison Between Chain of Thought and Latent Thought

Reference 5

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Observation 95cb53a2-3802-4a72-a70c-a6b925c92681 · outbound

This paper cites Does Transformer Interpretability Transfer to RNNs?.

Reproducing Recurrent Transformers: The CoTFormer Does Transformer Interpretability Transfer to RNNs?

Reference 6

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Observation 15129212-9d48-4541-8bcb-fc48d7ae1571 · outbound

This paper cites Reliability of CKA as a Similarity Measure in Deep Learning.

Reproducing Recurrent Transformers: The CoTFormer Reliability of CKA as a Similarity Measure in Deep Learning

Reference 7

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source=arxiv_source observed=2026-08-02T08:13:40.973271Z digest=sha256:276a5cfc1dbb995cccdbbf96e600c426fbca27560572c2e3695e26d48bebce4d

Observation bc256ab2-bb20-4e86-b227-a46c329309e9 · outbound

This paper cites ICLR 2024 Re-Align Workshop , year=.

Reproducing Recurrent Transformers: The CoTFormer ICLR 2024 Re-Align Workshop , year=

Reference 8

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source=arxiv_source observed=2026-08-02T08:13:41.089509Z digest=sha256:71aae00028817e1bc51f5a68d9b12c9072ca0a9fd6f2021eb2ff4f9a4a21d089

Observation 3cb046c1-9101-491d-add6-11283d4a131a · outbound

This paper cites Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features.

Reproducing Recurrent Transformers: The CoTFormer Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features

Reference 9

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source=arxiv_source observed=2026-08-02T08:13:41.185655Z digest=sha256:0cb3f0e2c73d92d14f51ce512261a6ee0570847f202d5d47e67afa6f1b030148

Observation 06eaa4c2-2732-4332-acc0-0c8839654720 · outbound

This paper cites Frontiers in Earth Science , year=.

Reproducing Recurrent Transformers: The CoTFormer Frontiers in Earth Science , year=

Reference 10

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source=arxiv_source observed=2026-08-02T08:13:41.315475Z digest=sha256:c776a2834fdeb251fec6912ab31bf5f0c95d2ba17fa3c692f32df8f76661d0f5

Observation db665320-fad6-442a-948d-45c2f1f9cd7f · outbound

This paper cites Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=.

Reproducing Recurrent Transformers: The CoTFormer Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=

Reference 11

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source=arxiv_source observed=2026-08-02T08:13:41.490726Z digest=sha256:b843825cadfc70a9030e237ea418f4acbe1c29b9939a2a8cc455572697190f83

Observation f0511a0c-0e91-438b-a6bc-59d9bfc043ad · outbound

This paper cites transformer-circuits.pub , year=.

Reproducing Recurrent Transformers: The CoTFormer transformer-circuits.pub , year=

Reference 12

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source=arxiv_source observed=2026-08-02T08:13:41.600960Z digest=sha256:d8e0d203c10c56c426a9a8a3b14a334c124291cf3aeb58eb8ea59641d28ba806

Observation cfaee31b-0405-4823-9453-65ff4626dafe · outbound

This paper cites arXiv preprint arXiv:2601.21582 , year=.

Reproducing Recurrent Transformers: The CoTFormer arXiv preprint arXiv:2601.21582 , year=

Reference 13

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source=arxiv_source observed=2026-08-02T08:13:41.781503Z digest=sha256:20e92b1bcb895fbd3156696f5ae392df2ee67b9d8113a85f604e1c5b014eaebc

Observation f1a32667-7fdb-46c8-a871-4934b61970a1 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Reproducing Recurrent Transformers: The CoTFormer Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 14

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Observation 55ffb5fc-6265-424d-8519-d3828d31ab3b · outbound

This paper cites Lessons on Parameter Sharing across Layers in Transformers.

Reproducing Recurrent Transformers: The CoTFormer Lessons on Parameter Sharing across Layers in Transformers

Reference 15

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source=arxiv_source observed=2026-08-02T08:13:42.156922Z digest=sha256:b7d8daac38b86bae71557f4026d20da30175608fe1006579ac8762e30a93bc8a

Observation 1a974770-1c34-4754-b674-a8f626475410 · outbound

This paper cites Sparse Universal Transformer.

Reproducing Recurrent Transformers: The CoTFormer Sparse Universal Transformer

Reference 16

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source=arxiv_source observed=2026-08-02T08:13:42.340432Z digest=sha256:4b3888af7c322112904c527aca0b9ef693a055502f1da5ad990bc275932fe687

Observation daafd9df-dae4-454a-beff-c9cb2925a5e8 · outbound

This paper cites International Conference on Machine Learning (ICML) , year=.

Reproducing Recurrent Transformers: The CoTFormer International Conference on Machine Learning (ICML) , year=

Reference 17

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Observation 5739a06f-3a2c-4503-811c-dc45aded6c38 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

Reproducing Recurrent Transformers: The CoTFormer Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 18

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Observation 6bfaea7c-bc4a-4839-b53f-4ab210c92db0 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Reproducing Recurrent Transformers: The CoTFormer International Conference on Learning Representations (ICLR) , year=

Reference 19

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Observation 66f5aaa6-aa8b-4de2-a103-e221694ffa05 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

Reproducing Recurrent Transformers: The CoTFormer Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 20

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Observation 9d840afd-1d21-4c88-ac5b-aa960e24f485 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Reproducing Recurrent Transformers: The CoTFormer International Conference on Learning Representations (ICLR) , year=

Reference 21

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Observation efb0a363-133c-49d0-acc6-848db09ec46e · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Reproducing Recurrent Transformers: The CoTFormer International Conference on Learning Representations (ICLR) , year=

Reference 22

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no resolver link, observed 2026-08-02T08:13:43.154602Z

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Observation d3c7f0ca-a707-4406-9324-585d3af3ed43 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Reproducing Recurrent Transformers: The CoTFormer International Conference on Learning Representations (ICLR) , year=

Reference 23

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no resolver link, observed 2026-08-02T08:13:43.311785Z

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.