Paper Citation Record · LEDGER

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.02560.

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

pith.paper-citation-record.v1
2608.02560 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:49:35.160556Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4419a69-9171-447d-a9e3-1380b4d4c743 · outbound

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

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Efficiently modeling long sequences with structured state spaces,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.025222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da68aa5c-a606-4b10-805e-e7474a296da9 · outbound

This paper cites Simplified state space layers for sequence modeling,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Simplified state space layers for sequence modeling,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.029861Z

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Observation 375c5aff-ce9f-497d-a36f-6fd75c783d38 · outbound

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

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.033770Z

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Observation 41c6ff8c-3c38-436e-ad20-c2dc3813a252 · outbound

This paper cites Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.038080Z

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Observation c4bb21cf-353c-48d4-a75e-8ae8f608224d · outbound

This paper cites RWKV: Reinventing RNNs for the transformer era,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection RWKV: Reinventing RNNs for the transformer era,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.042175Z

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Observation 1b5f9c9d-c747-40a8-82f2-ae125570571e · outbound

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

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Retentive Network: A Successor to Transformer for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.046085Z

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Observation f099a98f-9720-4c72-9a9c-5b89fee7e066 · outbound

This paper cites State Soup: In-Context Skill Learning, Retrieval and Mixing.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection State Soup: In-Context Skill Learning, Retrieval and Mixing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.050664Z

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Unavailable: canonical work link unavailable.

Observation 4628dd97-9464-4ced-8b65-83c8113c16dc · outbound

This paper cites PICASO: Permutation-invariant context composition with state space models,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection PICASO: Permutation-invariant context composition with state space models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.054846Z

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Observation 716497f8-62c7-47a2-94bc-c5f97afa21da · outbound

This paper cites Memory caching: RNNs with growing memory,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Memory caching: RNNs with growing memory,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.058592Z

Source-reported events for the cited work

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Observation c02fa621-a397-4cb2-bb14-2ba50ab45579 · outbound

This paper cites Mistral 7B.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Mistral 7B

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.062196Z

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Observation f5e5a654-eac9-48b3-a4dc-ff90b2b99c48 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection LoRA: Low-rank adaptation of large language models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.065868Z

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Observation 9fd1e84c-1c15-4707-894e-d1c57e211d38 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.069541Z

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Observation 83801dca-64ab-4bd8-851b-d16f743621e3 · outbound

This paper cites Leveraging passage retrieval with generative models for open domain question answering,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Leveraging passage retrieval with generative models for open domain question answering,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.073438Z

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Observation 49ca375f-f54e-443d-84ee-ef9307593301 · outbound

This paper cites Improving language models by retrieving from trillions of tokens,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Improving language models by retrieving from trillions of tokens,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.077376Z

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Observation c503950e-246d-46a7-a6c3-f827467984e8 · outbound

This paper cites Atlas: Few-shot learning with retrieval augmented language models,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Atlas: Few-shot learning with retrieval augmented language models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.081331Z

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Observation ddfc142a-df6b-403a-bb3c-f59ea944685a · outbound

This paper cites REPLUG: Retrieval-augmented black-box language models,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection REPLUG: Retrieval-augmented black-box language models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.085425Z

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Observation e7b168ad-b5a1-4689-a108-e2ad09a4621f · outbound

This paper cites xRAG: Extreme context compression for retrieval-augmented generation with one token,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection xRAG: Extreme context compression for retrieval-augmented generation with one token,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.089292Z

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Unavailable: canonical work link unavailable.

Observation b41969c5-e2c6-4c2e-a43b-417e347370cc · outbound

This paper cites LLMLingua: Compressing prompts for accelerated inference of large language models,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection LLMLingua: Compressing prompts for accelerated inference of large language models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.093002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 215ce158-c725-4128-903a-0952ad70b689 · outbound

This paper cites Adapting language models to compress contexts,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Adapting language models to compress contexts,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.097016Z

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Observation be966cdb-d79c-4386-b5df-1183136b9bef · outbound

This paper cites Learning to compress prompts with gist tokens,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Learning to compress prompts with gist tokens,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.100528Z

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Observation bb95ef89-6fdd-401a-ad7c-1ed76a9b6f36 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection The power of scale for parameter-efficient prompt tuning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.104369Z

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Observation 47a38a06-230d-4780-bd47-2a9f907d83e8 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Prefix-tuning: Optimizing continuous prompts for generation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.107907Z

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Observation f066df12-a0b5-41c0-aeca-e9d6c4b7a146 · outbound

This paper cites Steering Language Models With Activation Engineering.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Steering Language Models With Activation Engineering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.111649Z

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Observation 09735830-d86c-45b4-9cce-00e4b6138ebe · outbound

This paper cites In-context vectors: Making in-context learning more effective and controllable through latent space steering,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection In-context vectors: Making in-context learning more effective and controllable through latent space steering,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.115615Z

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Observation cf5cbe91-813b-4df5-af0b-819fc881daa5 · outbound

This paper cites Human-inspired episodic memory for infinite context LLMs,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Human-inspired episodic memory for infinite context LLMs,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.119400Z

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Unavailable: canonical work link unavailable.

Observation 3bbc6736-e2e5-4dc6-b6b7-8acfb6427d34 · outbound

This paper cites Episodic and semantic memory,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Episodic and semantic memory,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.123361Z

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Observation 06d9cbb4-3857-4493-8c02-7d5b4bf6aab7 · outbound

This paper cites Efficient memory management for large language model serving with PagedAttention,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Efficient memory management for large language model serving with PagedAttention,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.127094Z

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Observation 4f8a7ed9-f574-47af-a9e4-ba88131b98fc · outbound

This paper cites FlashAttention: Fast and memory-efficient exact attention with IO-awareness,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection FlashAttention: Fast and memory-efficient exact attention with IO-awareness,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.130805Z

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Observation 3025a97b-29a8-4a74-b4ec-a3cca4b428ff · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Textbooks Are All You Need II: phi-1.5 technical report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.134617Z

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Observation 524ea660-e1ca-4402-9622-900aff83f8bd · outbound

This paper cites MobileLLM: Optimizing sub-billion parameter language models for on-device use cases,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection MobileLLM: Optimizing sub-billion parameter language models for on-device use cases,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.138514Z

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Observation 353aee81-703f-412e-9e60-520273d454c6 · outbound

This paper cites SlimPajama: A 627B token cleaned and deduplicated version of RedPajama,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection SlimPajama: A 627B token cleaned and deduplicated version of RedPajama,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.142456Z

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Unavailable: canonical work link unavailable.

Observation a2baeae5-bd9c-4344-ac1e-77de4cb36968 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.146110Z

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Observation 9bf612ab-789a-4be1-9737-236d23a17bcb · outbound

This paper cites SQuAD: 100,000+ questions for machine comprehension of text,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection SQuAD: 100,000+ questions for machine comprehension of text,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.150163Z

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Observation bb3bf570-b231-4807-b8e4-26e3f59b54c9 · outbound

This paper cites HotpotQA: A dataset for diverse, explainable multi-hop question answering,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection HotpotQA: A dataset for diverse, explainable multi-hop question answering,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.153681Z

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Observation 0f621575-d4ba-430c-898c-c4f555125859 · outbound

This paper cites Natural Questions: A benchmark for question answering research,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection Natural Questions: A benchmark for question answering research,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.157158Z

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Observation fc248a80-cd13-434c-a0ad-894daaecb4ee · outbound

This paper cites System and Method for Efficient Execution of Large Generative Artificial Intelligence Models on Edge Devices Using State-Space Models,.

Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection System and Method for Efficient Execution of Large Generative Artificial Intelligence Models on Edge Devices Using State-Space Models,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T04:49:35.160556Z

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Pith citing papers

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