Paper Citation Record · LEDGER

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.09889.

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

pith.paper-citation-record.v1
2607.09889 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T14:50:03.831572Z

measured 29 of 29 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

29 of 29 outbound references displayed

verified exact0
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 273c3177-3354-4964-9c61-b34660140a30 · outbound

This paper cites an unresolved cited work.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d915ebb-4362-45eb-af84-8ec958cf11c8 · outbound

This paper cites Arora, S.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Arora, S

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f90c6638-5179-4c02-978c-32e3abeef210 · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6249669-c6a7-430b-b25a-7e71c35a2e9f · outbound

This paper cites Behrouz, P.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Behrouz, P

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17c5467-00a2-468d-8827-c14f56b185a2 · outbound

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

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Titans: Learning to Memorize at Test Time

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036e1eb1-6814-4678-93cf-68b4fa8f6037 · outbound

This paper cites Fountas et al.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Fountas et al

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e7a67f-1c1c-4a8c-b4ea-2d3d820a8644 · outbound

This paper cites [Fox et al.(2011)] E.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention [Fox et al.(2011)] E

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0a3bc20-69bd-4276-b328-882b18e8085b · outbound

This paper cites Geadah, International Brain Laboratory, and J.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Geadah, International Brain Laboratory, and J

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997f61f0-e43f-4e25-92d9-8c5f02504569 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Efficiently Modeling Long Sequences with Structured State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb9750c7-3e0d-4fc7-839b-8fdb8b61542a · outbound

This paper cites On the Parameterization and Initialization of Diagonal State Space Models.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention On the Parameterization and Initialization of Diagonal State Space Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12b49ab-f4bf-4306-b58b-bc3e72092e6e · outbound

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

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4353c6b2-04a3-4213-9ed1-ecce400046d3 · outbound

This paper cites Jelassi, D.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Jelassi, D

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c975545d-840b-4086-ad3b-027c90be10fd · outbound

This paper cites Repeat After Me: Transformers are Better than State Space Models at Copying.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Repeat After Me: Transformers are Better than State Space Models at Copying

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d1a8949-b44b-46a5-ae42-42917b281c33 · outbound

This paper cites Generalization through Memorization: Nearest Neighbor Language Models.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Generalization through Memorization: Nearest Neighbor Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1734692f-9e88-48d6-adee-02b692663cda · outbound

This paper cites Reformer: The Efficient Transformer.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Reformer: The Efficient Transformer

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29285f49-c0bd-479d-b217-f92f9c13e7e7 · outbound

This paper cites Revisiting k-means: New Algorithms via Bayesian Nonparametrics.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Revisiting k-means: New Algorithms via Bayesian Nonparametrics

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35162da6-2bab-4646-b1b4-0ef5f375c81c · outbound

This paper cites Large Memory Layers with Product Keys.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Large Memory Layers with Product Keys

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c925ead3-2f7e-448c-bcdb-51d6eb2cd35a · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention SnapKV: LLM Knows What You are Looking for Before Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 331a404b-77f1-46fd-8c9c-97c8eafa34b9 · outbound

This paper cites $\infty$-former: Infinite Memory Transformer.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention $\infty$-former: Infinite Memory Transformer

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a4ae200-fd8e-4181-9eec-17bf7c02eb47 · outbound

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

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036565f9-ff46-4351-b244-3b5f38680f4d · outbound

This paper cites Neural Episodic Control.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Neural Episodic Control

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a8f102-ce83-4b18-96ea-ccd7c232280e · outbound

This paper cites Hopfield Networks is All You Need.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Hopfield Networks is All You Need

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b6f5401-5fb3-4b33-9ff4-d87bb92c3783 · outbound

This paper cites Efficient Content-Based Sparse Attention with Routing Transformers.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Efficient Content-Based Sparse Attention with Routing Transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80f5f7aa-598b-4b75-b996-586c1223149f · outbound

This paper cites an unresolved cited work.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f949d955-b59d-4a1d-8295-fa809c923be4 · outbound

This paper cites Fast Transformers with Clustered Attention.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Fast Transformers with Clustered Attention

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06d30fa8-9cde-43ef-bcc3-c65e7669e551 · outbound

This paper cites The Kanerva Machine: A Generative Distributed Memory.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention The Kanerva Machine: A Generative Distributed Memory

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1876493-7afc-479b-bd98-11881ec25a72 · outbound

This paper cites Memorizing Transformers.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Memorizing Transformers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00801938-4316-4a39-9bba-6a96ba9e5930 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Efficient Streaming Language Models with Attention Sinks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad4a6c5-85d4-4cb3-8215-f8d4301d8a90 · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.