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Paper Citation Record · LEDGER

Memoir: Should a Model Write to Its Memory While It Thinks?

As of 21 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.20792.

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

pith.paper-citation-record.v1
2607.20792 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:25:24.808694Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb93ad1b-c975-4ad8-9170-786ee17eae83 · outbound

This paper cites The Surprising Effectiveness of Test-Time Training for Few-Shot Learning.

Memoir: Should a Model Write to Its Memory While It Thinks? The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 1

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no resolver link, observed 2026-08-01T09:25:22.519099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:22.519099Z digest=sha256:da39690a0f5fbd86c64051e6b530f3050ac2c60836dcd5a498c7eeaddfc18faf

Observation 9d3987ad-d34a-4cb2-8373-9427f0569f11 · outbound

This paper cites Nested Learning: The Illusion of Deep Learning Architectures.

Memoir: Should a Model Write to Its Memory While It Thinks? Nested Learning: The Illusion of Deep Learning Architectures

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:23.108005Z digest=sha256:a19943b97827376d5cab4c91ac8adcc8a6e4dc0022307a547ecd291095847687

Observation 32d871a7-7a3b-413f-a502-bfd19fa5631a · outbound

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

Memoir: Should a Model Write to Its Memory While It Thinks? Titans: Learning to Memorize at Test Time

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:23.313591Z digest=sha256:fb2fd4516280951d98241ad8d03a45db1a4af8a83edb21be4a0f874ce013d675

Observation 82c55a47-a063-4e65-b3be-635dc9dd2f7f · outbound

This paper cites Universal Transformers.

Memoir: Should a Model Write to Its Memory While It Thinks? Universal Transformers

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:23.477369Z digest=sha256:a704cd8f0f5ee7139dea99136b910dea3b7439e21bbaee53b6303b1fda4de461

Observation 7bbbeb4b-a6dd-464f-9e4c-f617d887e72d · outbound

This paper cites Energy-Based Transformers are Scalable Learners and Thinkers.

Memoir: Should a Model Write to Its Memory While It Thinks? Energy-Based Transformers are Scalable Learners and Thinkers

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:23.671177Z digest=sha256:43c5460feac21f10e07dd538d53877dc6615b844930c0b74bc40e1226411f2d2

Observation 68f67fee-0891-47ef-bf37-f9b5768e0cfc · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

Memoir: Should a Model Write to Its Memory While It Thinks? Adaptive Computation Time for Recurrent Neural Networks

Reference 10

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no resolver link, observed 2026-08-01T09:25:23.834390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:23.834390Z digest=sha256:fa74c8ec2bcb4f6db2b02ea25e2f0a0596279646b9db7085aeaed462191dea62

Observation d79fc78e-450d-4318-b6d1-217eedf904e2 · outbound

This paper cites Why Language Models Hallucinate.

Memoir: Should a Model Write to Its Memory While It Thinks? Why Language Models Hallucinate

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:24.128504Z digest=sha256:3472e1d59802dfac1fe6a84b1582bd33b4b2e496fa60a021babda91844f76fa4

Observation 8616c42b-de1b-41ed-b16f-b166b0dd805f · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Memoir: Should a Model Write to Its Memory While It Thinks? Overcoming catastrophic forgetting in neural networks

Reference 14

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no resolver link, observed 2026-08-01T09:25:24.211976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:24.211976Z digest=sha256:a8e77cc643e292fca75c2ceb64f7b321320d0f21f3c711661208cfa9b474a30d

Observation b37e3520-e7cf-4ad4-9a83-e0cffc9a5b78 · outbound

This paper cites Linear Transformers Are Secretly Fast Weight Programmers.

Memoir: Should a Model Write to Its Memory While It Thinks? Linear Transformers Are Secretly Fast Weight Programmers

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:24.287914Z digest=sha256:953c017a2b299e9450747fffa594083d7537fda4d82c1e5d7956fec06412810a

Observation e1c7918d-e165-4013-8f91-70f76447e89b · outbound

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

Memoir: Should a Model Write to Its Memory While It Thinks? Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 16

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no resolver link, observed 2026-08-01T09:25:24.389981Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:24.389981Z digest=sha256:b8d7dbe55b82a42f877aa68545811aca212d7c102596921f24f58490a1ec4c88

Observation 1c9d5f06-f7c6-40b9-a4f8-60d601b167c8 · outbound

This paper cites End-to-End Test-Time Training for Long Context.

Memoir: Should a Model Write to Its Memory While It Thinks? End-to-End Test-Time Training for Long Context

Reference 17

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no resolver link, observed 2026-08-01T09:25:24.520280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:24.520280Z digest=sha256:08e7e7f8659f9f9dfb5ee3115cb2d8c76d97c5b52a56cd28246189640796194c

Observation b1977f10-b6d7-443f-925c-2fcd80c4d2fa · outbound

This paper cites A Systematic Analysis of Hybrid Linear Attention.

Memoir: Should a Model Write to Its Memory While It Thinks? A Systematic Analysis of Hybrid Linear Attention

Reference 18

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no resolver link, observed 2026-08-01T09:25:24.630212Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:24.630212Z digest=sha256:3368c07032897f71190e93cfef1811adc432ece0c29268d171e35253342885f3

Observation 0886ebec-7179-4d9e-a856-51349bf7defc · outbound

This paper cites LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.

Memoir: Should a Model Write to Its Memory While It Thinks? LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Reference 19

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no resolver link, observed 2026-08-01T09:25:24.732706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:24.732706Z digest=sha256:5c11b25ea2faf0d5949b15978c74004171391ba1991ef4b84c958b78a9c71fb0

Observation 66b9649c-6ff1-45cd-b1fe-220fa1d481c6 · outbound

This paper cites Memorizing Transformers.

Memoir: Should a Model Write to Its Memory While It Thinks? Memorizing Transformers

Reference 20

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no resolver link, observed 2026-08-01T09:25:24.808694Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:24.808694Z digest=sha256:ddf174e4de46d342ebabd5cd1d93e41077452004a292e304168150476c23c3d6

Observation c3969594-b647-4ff0-bb03-ab41b500e53d · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.

Memoir: Should a Model Write to Its Memory While It Thinks? Bootstrap your own latent: A new approach to self-supervised Learning

Reference 2016

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:23.940725Z digest=sha256:1e4a19fb5a5d531f4d19082b39dc266268683be0cd370377930c3a17c08856bf

Observation 58af95c1-8e95-436a-851b-161feb419ee8 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Memoir: Should a Model Write to Its Memory While It Thinks? Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 2018

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source=pdf_text observed=2026-08-01T09:25:23.570001Z digest=sha256:df4e736dde1a943b02a0e043a5cfdec40791940abc75481d979390c54eacbb03

Observation fff3e90f-e98e-439b-9dbf-928c6f47130f · outbound

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

Memoir: Should a Model Write to Its Memory While It Thinks? Training Large Language Models to Reason in a Continuous Latent Space

Reference 2020

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source=pdf_text observed=2026-08-01T09:25:24.052221Z digest=sha256:d4e9ecab8458bd87a8408352a365d923bf77d98f23cff6881b1f488788b1c90b

Observation 95c165b9-5fa4-4c95-94d3-e8bb32be50bf · outbound

This paper cites ATLAS: Learning to Optimally Memorize the Context at Test Time.

Memoir: Should a Model Write to Its Memory While It Thinks? ATLAS: Learning to Optimally Memorize the Context at Test Time

Reference 2021

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:25:22.804234Z digest=sha256:6a103893934afa8406aa355bd4b9c61bfe195fd15ee87882f7b433d5a184e5cf

Observation bdbd4626-9a48-4f4b-a310-fce5be848f91 · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Memoir: Should a Model Write to Its Memory While It Thinks? VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 2024

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source=pdf_text observed=2026-08-01T09:25:22.655581Z digest=sha256:8b79786a4cfa48900bd34a2a13d28c8271470bc5eb46b53218eedf92adbc6271

Observation 17e5ef05-45a5-4007-b614-f40000b81685 · outbound

This paper cites It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization.

Memoir: Should a Model Write to Its Memory While It Thinks? It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Reference 2025

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source=pdf_text observed=2026-08-01T09:25:22.981826Z digest=sha256:df6cb65a071d76f8d52cf906a46092703ad346602d516c76c9cd4491ca6c2eef

Pith citing papers

No inbound Pith citation observations are available.