Paper Citation Record · LEDGER

Motif-Mamba: network motif improved mamba for long-range sequence modeling

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2608.00027.

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

pith.paper-citation-record.v1
2608.00027 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:45:21.010242Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

39 of 39 outbound references displayed

verified exact2
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14eeb1eb-09be-4a78-8c9d-1db96bef400e · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:17.764074Z

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Observation 0e252f5a-c62e-44ca-a18b-dfececc6c072 · outbound

This paper cites Longformer: The Long-Document Transformer.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Longformer: The Long-Document Transformer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:17.815206Z

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Observation da63f32e-71eb-424a-9045-0fdc2a788461 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:17.862485Z

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Observation 3c08123c-09fd-416e-9956-1718def3e5f6 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Generating Long Sequences with Sparse Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:17.914538Z

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Observation 907a1962-0e51-40d4-850d-d966d6406480 · outbound

This paper cites Big bird: Transformers for longer sequences.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Big bird: Transformers for longer sequences

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:17.970361Z

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Observation e2c743d4-f0cd-440b-ba13-81ae611c2329 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.034499Z

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Observation ae896607-16f5-446d-91ff-68f8c3d53de8 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Efficiently modeling long sequences with structured state spaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.092352Z

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Observation 579fd2d4-482a-4057-bc9f-f22fb6eea86c · outbound

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

Motif-Mamba: network motif improved mamba for long-range sequence modeling RWKV: Reinventing RNNs for the Transformer Era

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.140519Z

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Observation c09205ac-ff9e-4bf1-86ac-6305cf604776 · outbound

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

Motif-Mamba: network motif improved mamba for long-range sequence modeling Retentive Network: A Successor to Transformer for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.191450Z

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Unavailable: canonical work link unavailable.

Observation 09cd89e5-71c5-44b1-b638-4c44b827f3ef · outbound

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

Motif-Mamba: network motif improved mamba for long-range sequence modeling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.269429Z

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Observation 981e6ad2-6c23-4eab-a363-25a24db4a441 · outbound

This paper cites Network motifs: Simple building blocks of complex networks.Science, 298(5594):824–827, 2002.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Network motifs: Simple building blocks of complex networks.Science, 298(5594):824–827, 2002

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.339385Z

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Observation 79219844-8ea8-4335-bbf2-0b53f6519ad1 · outbound

This paper cites Functional building blocks of neural networks: From network motifs to collective dynamics.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Functional building blocks of neural networks: From network motifs to collective dynamics

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.393677Z

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Observation 461e1ff8-915d-45bc-9760-d6908ae2c74c · outbound

This paper cites Critical-state-accelerated rnn-based reinforce- ment learning.Neurocomputing, 2026.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Critical-state-accelerated rnn-based reinforce- ment learning.Neurocomputing, 2026

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.459781Z

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Observation d26a2483-5343-463e-9088-bdbac8893a42 · outbound

This paper cites Dynamic properties of network motifs contribute to biological network organization.PLoS biology, 3(11):e343, 2005.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Dynamic properties of network motifs contribute to biological network organization.PLoS biology, 3(11):e343, 2005

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.541199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec623a26-854c-4d26-840c-a90e0ecf7798 · outbound

This paper cites Network motifs: Theory and experimental approaches.Nature Reviews Genetics, 8 (6):450–461, 2007.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Network motifs: Theory and experimental approaches.Nature Reviews Genetics, 8 (6):450–461, 2007

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.619942Z

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Observation b5ef2216-e7ee-4dde-9392-fafe353f0a5b · outbound

This paper cites Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, and Bhuvana Ramabhadran.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, and Bhuvana Ramabhadran

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.696227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a56fdac-387f-48f5-a4a5-55bbfd8df176 · outbound

This paper cites Linking connectivity, dynamics, and computa- tions in low-rank recurrent neural networks.Neuron, 99(3):609–623, 2018.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Linking connectivity, dynamics, and computa- tions in low-rank recurrent neural networks.Neuron, 99(3):609–623, 2018

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.750714Z

Source-reported events for the cited work

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Observation 31095ed7-6dd4-4daa-8f0c-ca609e585c9f · outbound

This paper cites Long short-term memory.Neural Computation, 9 (8):1735–1780, 1997.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Long short-term memory.Neural Computation, 9 (8):1735–1780, 1997

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.822208Z

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Observation a6cf391e-7a6f-4693-9a2b-1082c0b4f8eb · outbound

This paper cites Language model evaluation harness.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Language model evaluation harness

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.972247Z

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Observation 30f16e08-e06a-49b8-83c9-5ec79788adcb · outbound

This paper cites The lambada dataset: Word prediction requiring a broad discourse context.

Motif-Mamba: network motif improved mamba for long-range sequence modeling The lambada dataset: Word prediction requiring a broad discourse context

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.044920Z

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Unavailable: canonical work link unavailable.

Observation f03f7999-df7a-449f-84a4-d27602cbf6e6 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.127524Z

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Observation c26f399f-04c4-4ff1-9bcb-9bec45eb8388 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Piqa: Reasoning about physical commonsense in natural language

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.181888Z

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Unavailable: canonical work link unavailable.

Observation 9a1673bf-3c8d-4780-9d5e-08883e636d0f · outbound

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

Motif-Mamba: network motif improved mamba for long-range sequence modeling Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.231107Z

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Unavailable: canonical work link unavailable.

Observation 402aa83d-83d3-4f78-9852-4025d4ef6b66 · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Winogrande: An adversarial winograd schema challenge at scale

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.307676Z

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Observation 72a12ff6-d4c4-4437-9593-c41c2bf1e139 · outbound

This paper cites Fu, Tri Dao, Khaled K.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Fu, Tri Dao, Khaled K

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.449662Z

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Observation 91d6bdaf-44c4-4fb2-9b2e-aaf33e0c8352 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.505156Z

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Observation 7032d7fd-6a1d-48f8-ad56-baf6cc1b927c · outbound

This paper cites Gpt-neo: Large scale autoregressive language modeling with mesh-tensorflow.Zenodo, 2021.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Gpt-neo: Large scale autoregressive language modeling with mesh-tensorflow.Zenodo, 2021

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.554792Z

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Observation 5e82fd49-bd9b-4b43-b8b2-d78e47db0ecf · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Motif-Mamba: network motif improved mamba for long-range sequence modeling OPT: Open Pre-trained Transformer Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.599769Z

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Observation c1e16dac-c2dd-4465-b668-a5b50866d8ee · outbound

This paper cites Perreault, Lee E.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Perreault, Lee E

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.775539Z

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Observation f1b09490-cc51-45df-81c6-d3b7eb694dfa · outbound

This paper cites In-context Learning and Induction Heads.

Motif-Mamba: network motif improved mamba for long-range sequence modeling In-context Learning and Induction Heads

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:19.932740Z

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Unavailable: canonical work link unavailable.

Observation 885613f6-b67c-48b3-bb4b-8581dc105edb · outbound

This paper cites Hirokawa, Aaron Szafer, Susan M.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Hirokawa, Aaron Szafer, Susan M

Reference 31

Resolution: verified exact; doi, observed 2026-08-04T01:48:30.710976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 338f49ad-9018-429f-a1af-7be2b32cbd17 · outbound

This paper cites an unresolved cited work.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:20.243629Z

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Observation f1375942-66c5-4ca3-8efc-0a5d6b6b5b48 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Linformer: Self-Attention with Linear Complexity

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:20.326991Z

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Observation 61249705-8123-4d66-8415-06340fade6f3 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:20.476064Z

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Unavailable: canonical work link unavailable.

Observation c37a105a-845a-42b4-bcbb-5c0926385098 · outbound

This paper cites Harris, Lydia Ng, Brent Winslow, Nicholas Cain, Stefan Mihalas, Quanxin Wang, Chris Lau, Leonard Kuan, Alex M.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Harris, Lydia Ng, Brent Winslow, Nicholas Cain, Stefan Mihalas, Quanxin Wang, Chris Lau, Leonard Kuan, Alex M

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:20.645641Z

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Unavailable: canonical work link unavailable.

Observation 6bfc6aa2-5b2e-4ac7-a35c-b06607393c77 · outbound

This paper cites Sadovsky and Jason N.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Sadovsky and Jason N

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:20.731151Z

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Observation efaaba95-63f2-46cf-b6f0-41b90709bcfc · outbound

This paper cites MotifNet: a motif-based Graph Convolutional Network for directed graphs.

Motif-Mamba: network motif improved mamba for long-range sequence modeling MotifNet: a motif-based Graph Convolutional Network for directed graphs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:20.874717Z

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Observation 7bc66093-6dc3-41da-8eb8-d7e70c45c4f2 · outbound

This paper cites Motif graph neural network.IEEE Transactions on Neural Networks and Learning Systems, 2023.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Motif graph neural network.IEEE Transactions on Neural Networks and Learning Systems, 2023

Reference 38

Resolution: malformed identifier; no resolver link, observed 2026-08-04T01:45:21.010242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4fb7c37-f016-4cd7-aca7-cbafc13de089 · outbound

This paper cites an unresolved cited work.

Motif-Mamba: network motif improved mamba for long-range sequence modeling Unresolved cited work

Reference 2023

Resolution: verified exact; doi, observed 2026-08-04T01:48:30.813739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.