Paper Citation Record · LEDGER

Eigenvalues as a Metric for Memory Dynamics in Sequence Models

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2510.09379.

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

pith.paper-citation-record.v1
2510.09379 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:32:48.105394Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

38 of 38 outbound references displayed

verified exact2
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 179a2f3d-82d9-4829-ad36-40f8dbf248cd · outbound

This paper cites write newline.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.887507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8330e56d-fb73-40ad-abb7-df3daa077a62 · outbound

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

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.894083Z

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Observation 9e23560c-79f8-410c-81bd-e18b3a0c35d9 · outbound

This paper cites Self-attention networks localize when qk-eigenspectrum concentrates.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Self-attention networks localize when qk-eigenspectrum concentrates

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.900572Z

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Observation 1a375ff7-dc69-496d-9aea-80c10113872c · outbound

This paper cites xLSTM: Extended Long Short-Term Memory.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models xLSTM: Extended Long Short-Term Memory

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.907460Z

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Observation a3f4b9a9-1be7-4907-b09d-c2bb70815bda · outbound

This paper cites Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.914053Z

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Observation db8f6074-1de8-4fae-a314-e1f4bb77773e · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models On the Opportunities and Risks of Foundation Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.921142Z

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Unavailable: canonical work link unavailable.

Observation 261001d6-4c64-4df6-aff3-479583984fa2 · outbound

This paper cites Language Models are Few-Shot Learners.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Language Models are Few-Shot Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.926577Z

Source-reported events for the cited work

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Observation f4b3a1eb-2910-4684-a513-b2c340307273 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms with Structured State Space Duality.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Transformers are SSMs: Generalized Models and Efficient Algorithms with Structured State Space Duality

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.931761Z

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Observation 1600c0ae-ea55-4f6c-929c-fe189e12c0f9 · outbound

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

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.936254Z

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Observation 4ec16b14-5325-4723-b86b-9855bd7a7c2f · outbound

This paper cites Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.941368Z

Source-reported events for the cited work

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Observation 030efb75-ada4-4e87-baa1-16455307534f · outbound

This paper cites HiPPO: Recurrent Memory with Optimal Polynomial Projections.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models HiPPO: Recurrent Memory with Optimal Polynomial Projections

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.946813Z

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Observation 6eed4298-d30d-49af-b650-4e9013d256e9 · outbound

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

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.952013Z

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Unavailable: canonical work link unavailable.

Observation c1b6dedf-cf8a-47f3-a1e3-21129bfdee93 · outbound

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

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.957574Z

Source-reported events for the cited work

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Observation 9400816f-373d-49fa-9e16-2f89e8c98c4b · outbound

This paper cites Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.962886Z

Source-reported events for the cited work

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Observation fc504304-7314-4cbb-9ee0-e9f6424f5780 · outbound

This paper cites Different eigenvalue distributions encode the same temporal tasks in recurrent neural networks.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Different eigenvalue distributions encode the same temporal tasks in recurrent neural networks

Reference 15

Resolution: verified exact; doi, observed 2026-08-04T10:34:04.728254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d4d5c56e-df53-4375-8f59-86126c2e66fa · outbound

This paper cites Linear systems, volume 156.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Linear systems, volume 156

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.971971Z

Source-reported events for the cited work

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Observation 6322d436-a5fe-4ad6-be0d-1ec3cfbf56b3 · outbound

This paper cites Transformers are RNN s: fast autoregressive transformers with linear attention.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Transformers are RNN s: fast autoregressive transformers with linear attention

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.977452Z

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Observation 6af73e3c-89f0-48f4-a401-b4e218c4e965 · outbound

This paper cites Decoupled Weight Decay Regularization.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Decoupled Weight Decay Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.981927Z

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Observation 0d9c491d-b24a-4f27-b17b-7d94acd8df13 · outbound

This paper cites Pointer sentinel mixture models, 2016.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Pointer sentinel mixture models, 2016

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.987405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d412a3-e8e5-42ab-b71b-613390008c31 · outbound

This paper cites When recalling in-context, transformers are not ssms.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models When recalling in-context, transformers are not ssms

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.992307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eff4e1a-791f-4463-aecd-ffd0b47072ed · outbound

This paper cites Signals & systems.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Signals & systems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:47.996922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df8e25b-4c75-479e-81c4-9891617643be · outbound

This paper cites Resurrecting recurrent neural networks for long sequences.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Resurrecting recurrent neural networks for long sequences

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.002185Z

Source-reported events for the cited work

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Observation 8c0a26fc-077f-43d7-a6af-5f68b217d058 · outbound

This paper cites Resurrecting Recurrent Neural Networks for Long Sequences.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Resurrecting Recurrent Neural Networks for Long Sequences

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.008282Z

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Observation a0d19bd0-f5a1-4ad7-82bc-d94af129466e · outbound

This paper cites Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.014055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4647ff50-7a71-4574-9641-bbe341e61d6b · outbound

This paper cites One-layer transformers fail to solve the induction heads task.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models One-layer transformers fail to solve the induction heads task

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.018937Z

Source-reported events for the cited work

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Observation 57b8f759-81e1-4d3e-aa21-be274d9c4d64 · outbound

This paper cites Linear transformers are secretly fast weight programmers.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Linear transformers are secretly fast weight programmers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.028207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 378bb126-f7e8-447c-ab39-b171b5285743 · outbound

This paper cites Understanding the differences in foundation models: Attention, state space models, and recurrent neural networks.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Understanding the differences in foundation models: Attention, state space models, and recurrent neural networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.032483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d827d9b2-5c6f-4a26-be35-deef67ebcedc · outbound

This paper cites Smith, Andrew Warrington, and Scott Linderman.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Smith, Andrew Warrington, and Scott Linderman

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.037953Z

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Observation 9b937e7e-8338-474f-9dad-8011d9982efb · outbound

This paper cites an unresolved cited work.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-04T10:34:04.422668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 29254109-44fc-481c-8ed1-d112791d795e · outbound

This paper cites Augmenting Self-attention with Persistent Memory.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Augmenting Self-attention with Persistent Memory

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.048417Z

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Observation 1a0a2ee6-4398-415d-8370-a9801f3c7b2c · outbound

This paper cites Long Range Arena : A Benchmark for Efficient Transformers.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Long Range Arena : A Benchmark for Efficient Transformers

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.058653Z

Source-reported events for the cited work

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Observation bef33b6d-58be-4986-af00-99eddbea50d5 · outbound

This paper cites Attention is All you Need.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Attention is All you Need

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.067347Z

Source-reported events for the cited work

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Observation 39065917-a490-4b10-b97c-2a387590bf30 · outbound

This paper cites StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.073170Z

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Unavailable: canonical work link unavailable.

Observation 0e9b8921-3193-4f11-a806-acedf5fb794b · outbound

This paper cites State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.081414Z

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Observation 97e96b56-24aa-4ef8-bf7b-0c702238cf3d · outbound

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

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.089866Z

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Observation 3243d888-5868-420b-89db-4719a3e24c94 · outbound

This paper cites @esa (Ref.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models @esa (Ref

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.094940Z

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Observation 581ba0cf-170f-4f40-aca5-9382ff23df18 · outbound

This paper cites an unresolved cited work.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.100671Z

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Observation a6ce35a6-9f83-469a-b6cc-b5e1e70faa5f · outbound

This paper cites ks V s Xi o/ θ e ]` moÁ, \1= 7vd ; ;7 z6'e ߷DvB |_ E?/ u z + 3R G Y_>2(/ B.6ɶe,Mm `q c? gĊ=t ?mZ ds@K B5޾.

Eigenvalues as a Metric for Memory Dynamics in Sequence Models ks V s Xi o/ θ e ]` moÁ, \1= 7vd ; ;7 z6'e ߷DvB |_ E?/ u z + 3R G Y_>2(/ B.6ɶe,Mm `q c? gĊ=t ?mZ ds@K B5޾

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T10:32:48.105394Z

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Pith citing papers

No inbound Pith citation observations are available.