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Paper Citation Record · LEDGER

Maglev: Sliding Recurrent Memory

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.02870.

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

pith.paper-citation-record.v1
2608.02870 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:01:30.719867Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

28 of 28 outbound references displayed

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  • verified fuzzy1
  • unresolved26
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  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f59f701-4861-4de0-b3f6-70f0f3041635 · outbound

This paper cites Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

Maglev: Sliding Recurrent Memory Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 7

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Observation de72fb35-ac2e-4185-ac04-c9f0d8eb0d0c · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Maglev: Sliding Recurrent Memory Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 10

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source=pdf_text observed=2026-08-15T15:01:30.625051Z digest=sha256:bc295b936d36a7a3985b303ab2a8a604ada5f408bbb1dd021a374c78b2111579

Observation 9da5912c-a583-4c44-b0e5-dd063b47eb2f · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Maglev: Sliding Recurrent Memory Training Large Language Models to Reason in a Continuous Latent Space

Reference 13

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source=pdf_text observed=2026-08-15T15:01:30.636279Z digest=sha256:2433b351004e527cb59e8c779bb4aa320eb10dd1a26f061e42bd82f27113a6ce

Observation 6f7d8067-4e3b-4af6-aee8-2462547af96a · outbound

This paper cites Thinking Tokens for Language Modeling.

Maglev: Sliding Recurrent Memory Thinking Tokens for Language Modeling

Reference 14

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source=pdf_text observed=2026-08-15T15:01:30.639202Z digest=sha256:d87998bd5153c770bd542096b9a7894fb3bc4234b537a01475477abbf83ddc04

Observation 6c73df5d-5d15-4972-ad34-50b0c083db63 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Maglev: Sliding Recurrent Memory Training Compute-Optimal Large Language Models

Reference 16

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source=pdf_text observed=2026-08-15T15:01:30.646382Z digest=sha256:52c2f8c30970c5dd25cf11e2f8592f198343bfc45b5db309bd94e3b72d5a9c19

Observation 9ac58093-9fc8-49e6-9cf3-4ab08270bcca · outbound

This paper cites TransformerFAM: Feedback attention is working memory.

Maglev: Sliding Recurrent Memory TransformerFAM: Feedback attention is working memory

Reference 18

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source=pdf_text observed=2026-08-15T15:01:30.653391Z digest=sha256:a04cc5ab05cb968c2a8298f7580405cf9dca759f99768a85a1188b829ea06907

Observation 5ed3fce0-572c-415a-aa7a-41c4697ae8f1 · outbound

This paper cites Mistral 7B.

Maglev: Sliding Recurrent Memory Mistral 7B

Reference 19

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source=pdf_text observed=2026-08-15T15:01:30.656511Z digest=sha256:7515e7c568c5910926ffca42a20d93d1aca8d075e5aefe938f8af7c17a797768

Observation 711caf1a-7500-461e-85c5-235972947e1a · outbound

This paper cites Pretraining Recurrent Networks without Recurrence.

Maglev: Sliding Recurrent Memory Pretraining Recurrent Networks without Recurrence

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T15:01:30.663799Z digest=sha256:105de7c9c67c2a1fbd80ec2973b69235a130075353c26b83f10f59eaa241da35

Observation feeafe74-5cad-4363-8c64-7dbc0ca3bab2 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Maglev: Sliding Recurrent Memory Jamba: A Hybrid Transformer-Mamba Language Model

Reference 22

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source=pdf_text observed=2026-08-15T15:01:30.666945Z digest=sha256:34518f6db3cc1a613996b752b4595d94758d9498e335f5710ca31889c7526565

Observation c4fada06-181b-4688-b69f-51a1d5da69a9 · outbound

This paper cites Longhorn: State Space Models are Amortized Online Learners.

Maglev: Sliding Recurrent Memory Longhorn: State Space Models are Amortized Online Learners

Reference 23

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source=pdf_text observed=2026-08-15T15:01:30.670322Z digest=sha256:b15af3d624f28843175ddf44963a7e7ca2dbe9b8f4af94821512320eb5ffba6a

Observation 54df791f-ebf7-4863-917b-982ac67c4fc1 · outbound

This paper cites Landmark Attention: Random-Access Infinite Context Length for Transformers.

Maglev: Sliding Recurrent Memory Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 25

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source=pdf_text observed=2026-08-15T15:01:30.677277Z digest=sha256:977a7d6f12b5e247b45b6aba850b844b80d98f721acbd5b36af0c61b50682071

Observation bcfc7efe-78ad-4ea7-9af3-e1073e92fc10 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Maglev: Sliding Recurrent Memory RWKV: Reinventing RNNs for the Transformer Era

Reference 27

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source=pdf_text observed=2026-08-15T15:01:30.683737Z digest=sha256:8c6b5edac69d184eac14e96d8c9967db275b9ab01b576fdfc507d9f18a724a18

Observation a0d96e02-58ab-4e74-9674-8f90677efc0c · outbound

This paper cites Let's Think Dot by Dot: Hidden Computation in Transformer Language Models.

Maglev: Sliding Recurrent Memory Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

Reference 28

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source=pdf_text observed=2026-08-15T15:01:30.686590Z digest=sha256:1780b27378909cf82731dcf1ff184e4d36259bd56a6b63724a5534f8e8fc050d

Observation be21c896-e9cf-48b7-b0fa-3d3235a1e5e0 · outbound

This paper cites Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling.

Maglev: Sliding Recurrent Memory Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 29

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source=pdf_text observed=2026-08-15T15:01:30.690224Z digest=sha256:e0cb1eaf3a01b147257652c434f85a757b9b48c80bb8c961c64bc71d5b82e281

Observation 5c0bc18c-0c8a-4798-83ee-cc47cbdcb894 · outbound

This paper cites Social IQA: Com- monsense reasoning about social interactions.

Maglev: Sliding Recurrent Memory Social IQA: Com- monsense reasoning about social interactions

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 672cb123-d414-4bf3-a10b-d9d999dabc59 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Maglev: Sliding Recurrent Memory Simplified State Space Layers for Sequence Modeling

Reference 32

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source=pdf_text observed=2026-08-15T15:01:30.699555Z digest=sha256:6a9c2c5c238a262f01da83c9027d81d806dbd0c09275a33c05a93fc49df118c6

Observation 53b91cb8-d504-4440-aca7-c053350b34bb · outbound

This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

Maglev: Sliding Recurrent Memory Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 33

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Observation d2be326a-72df-42c1-b607-f07243967a40 · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Maglev: Sliding Recurrent Memory Retentive Network: A Successor to Transformer for Large Language Models

Reference 34

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Observation 51ac58e9-8ac7-4c5b-b503-2fd9c791c989 · outbound

This paper cites Memorizing Transformers.

Maglev: Sliding Recurrent Memory Memorizing Transformers

Reference 36

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source=pdf_text observed=2026-08-15T15:01:30.712300Z digest=sha256:6d235e54707cc27eaa06de46afd86753b519df8ef7f3b2ecb34ea01b3c7abfc7

Observation b20d9658-72c2-4e05-a7be-06bd7a37f96d · outbound

This paper cites Gated Delta Networks: Improving Mamba2 with Delta Rule.

Maglev: Sliding Recurrent Memory Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 37

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source=pdf_text observed=2026-08-15T15:01:30.716214Z digest=sha256:f74da12afd5cb0501e01a91c895c2cf5563d9e7b19fa56cba7ee9eb8dad21b68

Observation ff7fc8df-e5f2-4a55-9da8-11314a3df3f9 · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

Maglev: Sliding Recurrent Memory Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 38

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source=pdf_text observed=2026-08-15T15:01:30.719867Z digest=sha256:0f70252ed8dc769a1a8ff50f1e03662ec5e369ef157bdfd33f602f454e550566

Observation 4a0bb1d3-11f0-44e3-9a25-28a4d221d10b · outbound

This paper cites Attention Is All You Need.

Maglev: Sliding Recurrent Memory Attention Is All You Need

Reference 2017

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source=pdf_text observed=2026-08-15T15:01:30.708535Z digest=sha256:a841e5299baf196c98ce4522196c384f8e3ff4acf416a0e82cb639111a7786de

Observation 35b78c96-13c8-4aa8-a96f-584dc95e877c · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Maglev: Sliding Recurrent Memory Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2018

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source=pdf_text observed=2026-08-15T15:01:30.610290Z digest=sha256:c4f7b9afb16131af463f0c669a5394d3e0d399895e1030a84871d05af4aa7016

Observation bde4125c-a480-4c02-a159-9c1215f81116 · outbound

This paper cites Longformer: The Long-Document Transformer.

Maglev: Sliding Recurrent Memory Longformer: The Long-Document Transformer

Reference 2020

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source=pdf_text observed=2026-08-15T15:01:30.597016Z digest=sha256:fca310964a46d5a443f9cce028b3e93a1aea036ea8b4707496b73e17970ed97c

Observation 36103b3e-0959-4946-aa7f-37bfa524a16e · outbound

This paper cites Addressing Some Limitations of Transformers with Feedback Memory.

Maglev: Sliding Recurrent Memory Addressing Some Limitations of Transformers with Feedback Memory

Reference 2021

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source=pdf_text observed=2026-08-15T15:01:30.621873Z digest=sha256:35b8927e099ba90914db7e8fb57219388328effb17dcab251bffde211fd229f5

Observation f7aeb311-7693-4134-bfd0-60d71e4776d4 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Maglev: Sliding Recurrent Memory Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 2023

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source=pdf_text observed=2026-08-15T15:01:30.628960Z digest=sha256:103e82db91009d15fc331e723b69dbe550b7bddb8050ddf1045e9e31c93c7f78

Observation e25266e1-9245-4037-9dda-bae583e7fce7 · outbound

This paper cites Titans: Learning to Memorize at Test Time.

Maglev: Sliding Recurrent Memory Titans: Learning to Memorize at Test Time

Reference 2024

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source=pdf_text observed=2026-08-15T15:01:30.593199Z digest=sha256:14bb18943715e03c7f035a33d509f61fbdf39e8ca60ad407b66797a48825a7e6

Observation 680ed62a-51d5-474b-8af2-bbbb3d7e1e2a · outbound

This paper cites Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova.

Maglev: Sliding Recurrent Memory Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova

Reference 2026

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source=pdf_text observed=2026-08-15T15:01:30.603253Z digest=sha256:ab52975fa9622e9a2a69e69676401067ae0dbf5d8d05e143ea3bc73aaaa6f6a9

Pith citing papers

No inbound Pith citation observations are available.