Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:59:10.544807Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2607.15178.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:59:10.544807Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
87 of 87 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2025 , month = jul, url =
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2024 , eprint =
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2025 , eprint =
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2025 , eprint =
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2025 , eprint =
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Observation cc8e384f-0a6e-4aa5-9398-a89ae1968a2f · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2023 , eprint =
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Observation d66d191a-a7aa-4357-974b-56e1d1e04f3d · outbound
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Observation 85556c20-ff33-4198-a313-b73288e9d932 · outbound
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Reference 31
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Observation 8436a3c7-10de-46cd-be73-f4bf63c6c8e7 · outbound
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Reference 32
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
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Observation 7b611cde-773f-44a3-86e0-dccc4e90a542 · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence Transactions of the Association for Computational Linguistics , year=
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Observation dd7a10c4-5d44-42e2-869e-388ac80cec30 · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence arXiv , year =
Reference 35
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence GPT-4 Technical Report
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Observation 9eec0f67-3e36-442f-9428-6e92e127abe5 · outbound
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Observation 135d717d-c363-42f3-b184-edce81701307 · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence Advances in Neural Information Processing Systems , year =
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Observation 3e3f905c-8c2e-4458-91a2-2983efa8be09 · outbound
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Observation 3bc02b62-05a3-457e-86f1-26c0b1dfdcc6 · outbound
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Observation f39f49bf-05b4-401c-8ab4-2e751e76c81e · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence International Conference on Learning Representations (ICLR) , year=
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Observation 066e7256-c2e3-43e8-95ca-a84910d17574 · outbound
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Observation 52812987-ad0c-45b2-8ec3-ebd0e15ff097 · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence International Conference on Learning Representations (ICLR) , year=
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Observation 653a91d0-5305-4ab1-b347-045f49178ad2 · outbound
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Observation 3836a552-a9e0-4ce9-af71-292544132abb · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2021 , eprint =
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Observation 90573d3b-0219-430a-9c00-a57ac367a5b1 · outbound
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Observation 94de707f-669e-414c-8022-e5267710d8b4 · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2023 , eprint =
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Observation 45645a06-243f-4754-b204-14c6d0b5a55c · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2023 , eprint =
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Observation 8a54a73f-4519-4a68-8965-26b91959a2f6 · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2024 , eprint =
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Observation b69f6637-6276-456b-966e-4e9e6cd22b1a · outbound
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Observation 8bc429d3-9a62-41b6-9716-2b92a722ee24 · outbound
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Observation 566dcc91-9ca3-44e6-959b-43ac8ef167d2 · outbound
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2024 , eprint=
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Observation f35fffc3-7885-438a-a5d9-0f63849fa3c7 · outbound
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Observation ce93cb97-5155-4275-b854-6d1c42f335ba · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence Soft Thinking: Unlocking the Reasoning Potential of
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Observation ccc173c1-9b1c-4169-b0da-e5be175bdecc · outbound
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Observation 7bbff521-d1c4-419f-9324-5104ae06b3d2 · outbound
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Observation 6188cded-67c5-46ee-be9e-2104e189a3a6 · outbound
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Observation 48ccd952-453f-4833-865e-44afe1f313ae · outbound
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Observation c56f5b87-8ef2-49b8-8853-db8866ab4fd0 · outbound
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Observation 4e90040f-9f19-41a8-a17c-a599b489e37b · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence fairseq: A Fast, Extensible Toolkit for Sequence Modeling
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Observation 3aa55b87-ab83-4256-af6a-bc73de7c4036 · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2023 , eprint=
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence 2025 , eprint=
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Observation 944cb9ec-d9d4-4faa-a319-74a52d5b8a2d · outbound
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Observation 6973d784-cfe1-4456-912a-2b2f30b35e27 · outbound
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Observation d158b251-6f45-41c6-a002-6f2a32596100 · outbound
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Observation cc00ef8b-936b-4e2e-85b3-140ea193b0f8 · outbound
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Observation 7ace3cc0-d90b-4c17-8880-5914799f2a4a · outbound
T^2MLR: Transformer with Temporal Middle-Layer Recurrence and Salakhutdinov, Ruslan and Manning, Christopher D
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Observation 06ea87f8-8eec-409f-927f-a99db0d22c93 · outbound
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Observation 7336440d-bc15-4db9-a29e-fcc321283bae · outbound
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence Advances in neural information processing systems , volume=
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T^2MLR: Transformer with Temporal Middle-Layer Recurrence Gated Delta Networks: Improving Mamba2 with Delta Rule
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Observation fea5408c-bcd8-4b16-81bd-b3a17b8c06e1 · outbound
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