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Paper Citation Record · LEDGER

Test-time regression: a unifying framework for designing sequence models with associative memory

As of 10 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 25 inbound Pith citation observations for arXiv:2501.12352.

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

pith.paper-citation-record.v1
2501.12352 v3

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:22:07.397228Z

measured 120 of 120 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:53.627251Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T19:30:07.279614Z

Reference resolution

95 of 95 outbound references displayed

  • verified exact7
  • verified fuzzy16
  • unresolved69
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b385a633-698d-4b44-9a52-19b42061d10e · outbound

This paper cites Ainslie, J.

Test-time regression: a unifying framework for designing sequence models with associative memory Ainslie, J

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.929031Z digest=sha256:eb5dbbf1acf20e3333fc0e995d6e36f4a32b89db0a4a84a0fef74135eb43d5e4

Observation 2d1ac0cf-6e48-4f0b-b297-9fa3b0037b5a · outbound

This paper cites Linear Transformers with Learnable Kernel Functions are Better In-Context Models.

Test-time regression: a unifying framework for designing sequence models with associative memory Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Reference 2

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no resolver link, observed 2026-08-10T17:22:06.935171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.935171Z digest=sha256:f8cb5ccb289bcd66e0726206a1f07d69febf50024efd4ff8f1a104b9ad3b063d

Observation 19863339-a4b7-443a-b032-1d60f73a0bde · outbound

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

Test-time regression: a unifying framework for designing sequence models with associative memory The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 3

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no resolver link, observed 2026-08-10T17:22:06.940853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.940853Z digest=sha256:5722c1c370960ac42d6db44b258896da22a3338567ab5628293e6b71f94f90ed

Observation eb57e355-3ed5-4684-aca5-cf3ee69bbd3e · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.946542Z digest=sha256:9bba35b604381c5a4befb2499817d6910f41d4bdcdf2ff96e1f0d957d641ef46

Observation 3a8f98f9-f398-43e3-960c-01177311439c · outbound

This paper cites Arora, S.

Test-time regression: a unifying framework for designing sequence models with associative memory Arora, S

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.951663Z digest=sha256:3718849066232231acc566749166f539325d5f8e01d0f295ef7d0fe6a3e0423f

Observation 13d103c8-088b-4425-bbef-7233cda3cefd · outbound

This paper cites Arora, S.

Test-time regression: a unifying framework for designing sequence models with associative memory Arora, S

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.956866Z digest=sha256:468d0024c53de516dee702e584d25dc144ab594e6edbe01ee1623a20d6dd29d7

Observation 42d48099-e1b0-4df3-a134-4147dd3681f3 · outbound

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

Test-time regression: a unifying framework for designing sequence models with associative memory xLSTM: Extended Long Short-Term Memory

Reference 7

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no resolver link, observed 2026-08-10T17:22:06.962989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.962989Z digest=sha256:1a0b7001486c489325631c99c3c456e5e5a1f961dba9619339ef53d4632414a7

Observation af78b907-797f-49d9-9023-383dc41b4ba1 · outbound

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

Test-time regression: a unifying framework for designing sequence models with associative memory Titans: Learning to Memorize at Test Time

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.968204Z digest=sha256:0ec86c50860ddd7640073891fbcb8a5af6fa0fb5a53c00eb39f2f47b3391fb00

Observation fe68d522-26aa-4d9a-be3d-f75dad6d78e4 · outbound

This paper cites Bertasius, H.

Test-time regression: a unifying framework for designing sequence models with associative memory Bertasius, H

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.973259Z digest=sha256:d144a528951a1ea7dd2837abeb8699e35aaa340cf179a55d58ad1febd42d617f

Observation 168fd081-48b8-4e43-a2a9-97ba69104baf · outbound

This paper cites Boyd and L.

Test-time regression: a unifying framework for designing sequence models with associative memory Boyd and L

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.978265Z digest=sha256:e4d8f0ac9768f307ca65e89711e07b6f4f7ade9f7f0ac3e05123f082540243ca

Observation 8a81d9d6-69f4-42ae-9ce4-a51b6500b99f · outbound

This paper cites Bradbury, S.

Test-time regression: a unifying framework for designing sequence models with associative memory Bradbury, S

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.982950Z digest=sha256:ecb3d26b1ee90b73b9febe6af1210fbef9f822121956813dce15e48a8fd55bd7

Observation d4e9968c-bae6-41ae-88eb-731ac580d2eb · outbound

This paper cites Language Models are Few-Shot Learners.

Test-time regression: a unifying framework for designing sequence models with associative memory Language Models are Few-Shot Learners

Reference 12

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no resolver link, observed 2026-08-10T17:22:06.987895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:06.987895Z digest=sha256:32d492e80fa9f55700f15fe83247106c599b74be578a6e27dabfde6f3e7f7643

Observation 6e9c8820-b059-4db6-b024-0cb6d9a5fcdb · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 13

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metadata mismatch
raw_fallback, observed 2026-08-10T17:22:08.600689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:06.993276Z digest=sha256:dc665cd27cc12cf2a33c7dc06632cede0cbd8873d634a6b2d72ee8dd4ad030fa

Observation 38031c32-85f3-4ead-b468-821ecb30d826 · outbound

This paper cites Cesa-Bianchi, A.

Test-time regression: a unifying framework for designing sequence models with associative memory Cesa-Bianchi, A

Reference 14

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raw_fallback, observed 2026-08-10T17:22:08.511614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:06.998083Z digest=sha256:7776b979fc89bde4a260a46f49192867b1a3968eac328671f74f7dc85b02749c

Observation 73e0ea10-3fbe-44b1-bff6-f4f796139853 · outbound

This paper cites Chen, Liuzhicheng, X.

Test-time regression: a unifying framework for designing sequence models with associative memory Chen, Liuzhicheng, X

Reference 15

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:22:07.002896Z digest=sha256:46cd4b39feb322ee29359052277db10b4dc5a3c114641981aa7f51bd1cbdde6e

Observation a07ca4db-c8ef-4f49-b872-4bc1fcec3aec · outbound

This paper cites Clark, K.

Test-time regression: a unifying framework for designing sequence models with associative memory Clark, K

Reference 16

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:22:07.007776Z digest=sha256:f517670764ee6d9c8ee6fda2b33807072053e1991c8d5c6d0d14b4805aa9eba6

Observation 76d821fb-76dd-49d3-80ef-ff90e1b8296a · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.013013Z digest=sha256:0261a34114d5d93ba79a569ff47e8983a237b89883f3198948da3fbb6ac61511

Observation 803d53bb-8a65-4d10-adf7-0b74737f4adc · outbound

This paper cites Dao and A.

Test-time regression: a unifying framework for designing sequence models with associative memory Dao and A

Reference 18

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no resolver link, observed 2026-08-10T17:22:07.018352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.018352Z digest=sha256:905e30074bbb41a8193d17b6df9c69760d8fcca8191c8d559d628f88428903aa

Observation 1eea2538-3f7f-4a17-8f18-459060f7f025 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-10T17:22:07.023292Z digest=sha256:f4c6ad4ce9c78e5ad6d02e1355256b62cb58629ff77bee133080cde57d9f4682

Observation 7ba4b453-34a9-4e90-a3e4-bb2cb35c86f5 · outbound

This paper cites Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

Test-time regression: a unifying framework for designing sequence models with associative memory Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 20

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source=arxiv_source observed=2026-08-10T17:22:07.027580Z digest=sha256:c10a6e8771ed39073612a4b9c9a5fdaea8ab64728e97bc952f605bee1fe7ee1e

Observation 90058670-d036-441f-87ae-39dc0eb22e01 · outbound

This paper cites Dehghani, J.

Test-time regression: a unifying framework for designing sequence models with associative memory Dehghani, J

Reference 21

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:22:07.032396Z digest=sha256:21888e6267189cd1387f87fcaf49d72ce02ae188a6e70aa9b58e646db99e32fa

Observation 142976e0-859d-4f1e-a7e6-de92eb88309c · outbound

This paper cites Devlin, M.-W.

Test-time regression: a unifying framework for designing sequence models with associative memory Devlin, M.-W

Reference 22

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source=arxiv_source observed=2026-08-10T17:22:07.036982Z digest=sha256:692d7b41021780ad0b36a546865c8e6fb3e24210e286fa16ef9dc0b55021e5e0

Observation 1dd27db6-4c8c-4a93-97d2-99175e244622 · outbound

This paper cites Dosovitskiy, L.

Test-time regression: a unifying framework for designing sequence models with associative memory Dosovitskiy, L

Reference 23

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no resolver link, observed 2026-08-10T17:22:07.041329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.041329Z digest=sha256:ecfa67d5fbc200ded3d53209853cd1d71bbb734a70b5a5782daf33f1fea8083f

Observation c29c96b0-8a98-4e99-9a49-21248ae78103 · outbound

This paper cites Duchi, E.

Test-time regression: a unifying framework for designing sequence models with associative memory Duchi, E

Reference 24

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no resolver link, observed 2026-08-10T17:22:07.045806Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.045806Z digest=sha256:5d0fc8590799f1c9edfa2bc9e24411c16b623997cb29fbbdc7b6360eb5419011

Observation 62ad2bb5-cc17-451e-a5ee-33bf4dff8fd9 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-10T17:22:07.050142Z digest=sha256:996a41b4548cec731fbcbe7d426d979a3e348759f5311d6ee977ff2cf58047fe

Observation 7f8e756b-dd42-46ab-a967-7639aa4bb466 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.055314Z digest=sha256:c41dca076302df467da226c157aff9f5892b0714a7854fe0aad0cce0584a69fa

Observation 5ac49d47-d158-47d1-9939-996339843792 · outbound

This paper cites Exploring the Space of Key-Value-Query Models with Intention.

Test-time regression: a unifying framework for designing sequence models with associative memory Exploring the Space of Key-Value-Query Models with Intention

Reference 27

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no resolver link, observed 2026-08-10T17:22:07.060320Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.060320Z digest=sha256:30eb6118cf088fc12e64a2813f77a53965226962511fd929d956a47f07194914

Observation 3e6c79bd-1c4d-4f26-a1c3-03c875c96c24 · outbound

This paper cites Gehring, M.

Test-time regression: a unifying framework for designing sequence models with associative memory Gehring, M

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-10T17:22:09.246989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.065210Z digest=sha256:9dd4c006f49cc9b5c79fee0bc69d53be8b4f336180a0dc8ac9be6e2ce3f4bf36

Observation 243e0073-a311-4b3a-a583-f919c1e35d3c · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 29

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verified exact
doi, observed 2026-08-10T17:22:07.606787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.070017Z digest=sha256:532556ca75a67ab266c3e899f4c8bc48dc8048a89b7864d5611f9c5e123c71a7

Observation b8ce54ad-09a2-41a8-9c98-aaac4e073690 · outbound

This paper cites Greff, R.

Test-time regression: a unifying framework for designing sequence models with associative memory Greff, R

Reference 30

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no resolver link, observed 2026-08-10T17:22:07.074915Z

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source=arxiv_source observed=2026-08-10T17:22:07.074915Z digest=sha256:c9ede55d5ef091308e39b75f65a2573f80b71fe66d5ddac7a1b1fec4af4b595a

Observation dfcf6122-77f0-4b39-9e53-a8b6374c1c8c · outbound

This paper cites Gruver, M.

Test-time regression: a unifying framework for designing sequence models with associative memory Gruver, M

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-10T17:22:09.231496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.079676Z digest=sha256:602efc4dca35320fbe03f7a1d9404e48b8832e5b75cf70e404a69c15191392dd

Observation 14526c76-b6a8-459f-b7a9-cf4f5a29c063 · outbound

This paper cites Gu and T.

Test-time regression: a unifying framework for designing sequence models with associative memory Gu and T

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-10T17:22:09.215402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.084667Z digest=sha256:9d6b8301ac61baa7b0dc8ed9e54a882e501257c1f985c0bdb97dc5761860fa02

Observation da843133-932e-42cc-bb10-a76a888979e2 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-10T17:22:09.198152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.089318Z digest=sha256:6d99f16d5d91f74bc57a5fc1763141236dca4699b44c75747124d3e4d42c308e

Observation 37841906-b869-4a1f-b4a2-0c3ba80f20d3 · outbound

This paper cites Hastie, R.

Test-time regression: a unifying framework for designing sequence models with associative memory Hastie, R

Reference 34

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:22:07.094694Z digest=sha256:da85e946c10553e370c5213ef03e7e1918e6a33e11b0d4d0a6bdcacca3e92e1a

Observation 5a1b1dae-be7e-4837-a0ee-bfa2fb0c13ca · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-10T17:22:09.180676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.099678Z digest=sha256:30b89511e6fa4fdc530694200fd7e2bca22ff9cbcd364cb42bc12d619e09851d

Observation 789d748e-1b23-49d7-aa4e-7367b21c834a · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-10T17:22:09.165544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.104531Z digest=sha256:379c1880ac9a8839d124f31ad1457e2032718023747dcbb76d33a3318503882a

Observation 52ba9e4f-eaba-4b64-9c01-b04d0bf1e792 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-10T17:22:09.149545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.109393Z digest=sha256:3226234c271474a24470602f29e0883998fe1d4511669c98dd4d089b729cdd7c

Observation 2ff483aa-e3e6-4838-b7c6-1eea30503e1b · outbound

This paper cites Hochreiter and J.

Test-time regression: a unifying framework for designing sequence models with associative memory Hochreiter and J

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.114078Z digest=sha256:921c763fb0413dfab35a4d5895957514d1413fdf65eefcadf8f69de9c02b998a

Observation 4fd3f9d3-c1ee-41b9-89b6-ed16f67d718f · outbound

This paper cites Training Compute-Optimal Large Language Models.

Test-time regression: a unifying framework for designing sequence models with associative memory Training Compute-Optimal Large Language Models

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a73491b4-ec6f-4c07-86af-e8aaa91f0565 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 40

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Observation 0b8f6014-f481-42a8-885b-a7f03bef003d · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 41

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raw_fallback, observed 2026-08-10T17:22:09.115392Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3eff7157-aa28-434e-a6d5-e40c4bfe426f · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.134288Z digest=sha256:03a8c119f3014cadb490c75bc814f93824e3f45388e0d7beb1c19d7d9308ef42

Observation 6d51ba9f-9233-4882-99a6-9ee641ab0d0a · outbound

This paper cites Jumper, R.

Test-time regression: a unifying framework for designing sequence models with associative memory Jumper, R

Reference 43

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source=arxiv_source observed=2026-08-10T17:22:07.138994Z digest=sha256:25e78153817c6c96af1570df28b71ce3fe6ae45b70b8810c7c7b06f7019b235d

Observation 628a6f5e-30f6-4c16-a987-c3944a528a80 · outbound

This paper cites Kaczmarz.

Test-time regression: a unifying framework for designing sequence models with associative memory Kaczmarz

Reference 44

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Source-reported events for the cited work

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Observation 756a4ac9-c1ca-4be9-aa40-ab3f03e9403a · outbound

This paper cites Scaling Laws for Neural Language Models.

Test-time regression: a unifying framework for designing sequence models with associative memory Scaling Laws for Neural Language Models

Reference 45

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source=arxiv_source observed=2026-08-10T17:22:07.148906Z digest=sha256:d6c6e284541afe13deb5c0ea0d7ead01f08c8c79261ba1846f17793a2b65814c

Observation b655cd59-1de4-43b2-82d0-ee86667578b7 · outbound

This paper cites Kasai, H.

Test-time regression: a unifying framework for designing sequence models with associative memory Kasai, H

Reference 46

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no resolver link, observed 2026-08-10T17:22:07.153853Z

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source=arxiv_source observed=2026-08-10T17:22:07.153853Z digest=sha256:b9b831e9a8d6ccaec76b3905284c497620ea74555a093f9142d0b5d900786c3d

Observation 9bb35072-8b1f-4001-aed5-2d2d4f41d99c · outbound

This paper cites Katharopoulos, A.

Test-time regression: a unifying framework for designing sequence models with associative memory Katharopoulos, A

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-10T17:22:09.082015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.158157Z digest=sha256:9af09cf18c6768b2f16e4db000e21cc6b0e04d43bbe16ed4ddbd13c2cbfe931c

Observation b5f631c2-e4ad-4f5a-af33-f01f7ffea9a8 · outbound

This paper cites GateLoop: Fully Data-Controlled Linear Recurrence for Sequence Modeling.

Test-time regression: a unifying framework for designing sequence models with associative memory GateLoop: Fully Data-Controlled Linear Recurrence for Sequence Modeling

Reference 48

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no resolver link, observed 2026-08-10T17:22:07.162271Z

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source=arxiv_source observed=2026-08-10T17:22:07.162271Z digest=sha256:91482eef583ebab9272391deecaede3c4e216bc6c6cae5ce2e907bcb1929a0dc

Observation 28cde6e2-6702-4a66-a0de-5b9ab95574ae · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Test-time regression: a unifying framework for designing sequence models with associative memory Adam: A Method for Stochastic Optimization

Reference 49

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no resolver link, observed 2026-08-10T17:22:07.166762Z

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source=arxiv_source observed=2026-08-10T17:22:07.166762Z digest=sha256:56a237ae42c78bf5a615c1f01c8ccd453288fc796335bb0c285230845f5556eb

Observation ed18d926-d129-4388-a2cd-9b9ac9929333 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 50

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no resolver link, observed 2026-08-10T17:22:07.171392Z

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source=arxiv_source observed=2026-08-10T17:22:07.171392Z digest=sha256:0994ed9ed77cd85ebd965881f76254c27bfb384375111673d560574ddc074c17

Observation 19695ac9-ae95-4d68-9b91-f7c7a0817a01 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 51

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.175782Z digest=sha256:99bcc630396ad9c0b0672b141b4c000338923fd8eb8091c415347b1b5724bffd

Observation 41680723-dd58-4d9c-a4f2-d20e38ac093c · outbound

This paper cites Kulis and P.

Test-time regression: a unifying framework for designing sequence models with associative memory Kulis and P

Reference 52

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.180015Z digest=sha256:42d9988be5a39ef1d01f9a4cef367630db47a855454feb3bb289882777888cbd

Observation 984575b4-cd6e-4602-a313-7af5d9b26e77 · outbound

This paper cites Longhorn: State Space Models are Amortized Online Learners.

Test-time regression: a unifying framework for designing sequence models with associative memory Longhorn: State Space Models are Amortized Online Learners

Reference 53

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no resolver link, observed 2026-08-10T17:22:07.184394Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.184394Z digest=sha256:70751465400e60b6fca39debf56706876433208630175ac211a459f356a74af7

Observation caf5211c-195b-4636-ba98-d4825ab5f0b2 · outbound

This paper cites Loshchilov and F.

Test-time regression: a unifying framework for designing sequence models with associative memory Loshchilov and F

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-10T17:22:09.050706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.189066Z digest=sha256:2195c6ed397da5f54d8342595b5fdaf40b688c4bba95f3ae799a9f5b5d5e23b4

Observation 46fb86f5-14c9-4805-9e0c-5943fe54c389 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 55

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unresolved
raw_fallback, observed 2026-08-10T17:22:09.035344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.193530Z digest=sha256:9a7394eb4a3eaeb7cbb8ffe88f762cfba845a7c09155948cd0754374943f8e52

Observation d189b745-be35-4b4e-a4f9-2c400ff9baa6 · outbound

This paper cites Mehta, A.

Test-time regression: a unifying framework for designing sequence models with associative memory Mehta, A

Reference 56

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.198763Z digest=sha256:8a74f06ed6976566e36665b2d640297230fef940fe14830e38ebd8e28e3b5b64

Observation c055825d-278c-4aa9-b758-cf48e6c38a59 · outbound

This paper cites Nguyen, M.

Test-time regression: a unifying framework for designing sequence models with associative memory Nguyen, M

Reference 57

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no resolver link, observed 2026-08-10T17:22:07.203427Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:22:07.203427Z digest=sha256:3c24f64ecda99a0ad4e1b51075cd56ff9d049eda98fd004ff121376c6ed9ba8b

Observation 8051bed2-3d8b-4dc0-a378-0b1a494419ef · outbound

This paper cites In-context Learning and Induction Heads.

Test-time regression: a unifying framework for designing sequence models with associative memory In-context Learning and Induction Heads

Reference 58

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no resolver link, observed 2026-08-10T17:22:07.208626Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:22:07.208626Z digest=sha256:3952e0c66c47489118895b69f9b42d5c42f9eb3bc84f63260ab73c3e63338ef4

Observation a9886c50-8fce-4cc3-9601-bb48a16925ea · outbound

This paper cites OpenAI o1 System Card , 2024.

Test-time regression: a unifying framework for designing sequence models with associative memory OpenAI o1 System Card , 2024

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:22:09.002469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.213717Z digest=sha256:f605666c434a7b72a5c6ade631760822f56a5c72db07bb9aec588f18576f0a07

Observation c4424829-bc25-4b90-8b10-001bfb9ef988 · outbound

This paper cites Orvieto, S.

Test-time regression: a unifying framework for designing sequence models with associative memory Orvieto, S

Reference 60

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verified fuzzy
raw_fallback, observed 2026-08-10T17:22:08.986724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.218609Z digest=sha256:2975af97125a48571f0b9f15d1bf721b2546bf42448763b6ef36b86a2e3d7ec5

Observation 21e5d244-5953-45b5-97c1-6cf971f80dc3 · outbound

This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

Test-time regression: a unifying framework for designing sequence models with associative memory Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 61

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no resolver link, observed 2026-08-10T17:22:07.223439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.223439Z digest=sha256:af00451c1d78b304b474c7ac5dc9fde0008c1de8c08efc4e9442c8040d68738f

Observation f0b2621c-044f-4b5c-8533-36e4824fdf25 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 62

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unresolved
raw_fallback, observed 2026-08-10T17:22:08.970757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.228669Z digest=sha256:751be96cf07924b04aa6c44d32bfb7f4f8cf6cfd81d87d79526493352827f3ac

Observation 60a234a1-68ca-490b-94ad-a44cf447ef37 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 63

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.233587Z digest=sha256:90317164c0cedc0ea944c6a4aec13c7b3a1ad1ecf47f1e83e1442ecadcd80894

Observation 060a2740-4f09-4891-929b-e5b7d288774a · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 64

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unresolved
raw_fallback, observed 2026-08-10T17:22:08.955789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.238906Z digest=sha256:c0f4b5ac736cce23f6f207db8ad7967c55869588b5385f8f9445dfab0c5f54a4

Observation b8ec6c7d-9cc3-488d-b0d5-15cfeb5debb6 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 65

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unresolved
raw_fallback, observed 2026-08-10T17:22:08.941652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.243893Z digest=sha256:1d0338579e9de755d5f7b584a831f66e697fe4bccff017012ce2bed6ab890d2f

Observation 039936a4-91dc-449d-863d-9aa69a537421 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 66

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no resolver link, observed 2026-08-10T17:22:07.249376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.249376Z digest=sha256:e2d68674271725854a42aefa794e1bd009b31071bc3d11b464bea11299822066

Observation 923423ba-83e5-45b5-9d62-dea5da615183 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 67

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unresolved
raw_fallback, observed 2026-08-10T17:22:08.926133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.254623Z digest=sha256:c67e34c171093e6e23ac9d06d4ccccab86a9a06ee888a199ff80ee34796d56d8

Observation a145257a-82d8-41c3-8d1e-e651f5e3f76f · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 68

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unresolved
raw_fallback, observed 2026-08-10T17:22:08.911637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.259719Z digest=sha256:04c2c1bd8a279dcb4bf6ec710a0567c272772feac7d0fa1c88b41d308d3494bd

Observation 8ded5768-9abe-43e0-858f-82e7aba0908a · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 69

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unresolved
raw_fallback, observed 2026-08-10T17:22:08.895754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.264997Z digest=sha256:2d81113ffbb3054993bcb05adbbd8834d2cad20e8df8f04faa5817ed43b5fec3

Observation 94bb34c0-4d7f-4e9e-a5ee-606f35003629 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 70

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verified exact
raw_fallback, observed 2026-08-10T17:22:07.854867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.270115Z digest=sha256:80ce84f9c0fbb2fb85d0fe2f3e46a3bcd829ea2ae2dece4237de8ba748c6da93

Observation 85540589-c8f0-4802-bcd5-169c76474b01 · outbound

This paper cites Salinas, V.

Test-time regression: a unifying framework for designing sequence models with associative memory Salinas, V

Reference 71

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unresolved
no resolver link, observed 2026-08-10T17:22:07.275072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.275072Z digest=sha256:077340a5485e9c139cc8641f7720aaa4087913aa46b39d257ca4c840ac6dcf04

Observation df018626-8e8b-4985-90c5-dd7a7c446f3c · outbound

This paper cites Schlag, K.

Test-time regression: a unifying framework for designing sequence models with associative memory Schlag, K

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:22:08.881023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.280011Z digest=sha256:9137215480eebb0ccae1f97ebbf62df293a84e10613c66fae85868f928f7a6d9

Observation 9cfbaead-7af1-4ab7-94e8-a4d9db88227b · outbound

This paper cites Schmidhuber.

Test-time regression: a unifying framework for designing sequence models with associative memory Schmidhuber

Reference 73

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unresolved
no resolver link, observed 2026-08-10T17:22:07.284919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.284919Z digest=sha256:c82a14c2105226dcc6cc2da14ffdb7fe82f0d34e6f6a898070fa7b3b0c5ad4c2

Observation 5abbe3f1-c96e-4881-b134-2d38ee4e76c9 · outbound

This paper cites Schölkopf and A.

Test-time regression: a unifying framework for designing sequence models with associative memory Schölkopf and A

Reference 74

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no resolver link, observed 2026-08-10T17:22:07.290835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.290835Z digest=sha256:ab6c8cfb5e2c157513ba484eb549383420713b9016d8462a64d9f48ed1227c23

Observation 43257417-0b84-400c-b06f-ad45b3a7a30f · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Test-time regression: a unifying framework for designing sequence models with associative memory Fast Transformer Decoding: One Write-Head is All You Need

Reference 75

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unresolved
no resolver link, observed 2026-08-10T17:22:07.296837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.296837Z digest=sha256:82255a18ae2c552b1e6deec7a4fb1f02e633f8f070972e1e7bbd502d5a0a8d8b

Observation 36572aba-f2aa-4426-be14-9da57b0154b6 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:22:08.866234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.301940Z digest=sha256:807eb960a731a816810eb67c37268c4902a074a7a3e0a7d0f721096a70db1abd

Observation 75226283-9685-4a07-af6c-7ed7c1c3dea3 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 77

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unresolved
raw_fallback, observed 2026-08-10T17:22:08.850442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.306629Z digest=sha256:9fef42af3788ffece14eae3d341929ed33cab41dbd00c3065350a1f801f24f1f

Observation 2b65cb24-41e9-4489-a114-b35d202ff617 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 78

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unresolved
raw_fallback, observed 2026-08-10T17:22:08.834989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.311308Z digest=sha256:9c817d8886812e76de1563f96bd7006ff03b7cc512213dc1e66836a51316e407

Observation f79a9754-2608-4946-9932-26a7040827b2 · outbound

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

Test-time regression: a unifying framework for designing sequence models with associative memory Retentive Network: A Successor to Transformer for Large Language Models

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.316014Z digest=sha256:c49f8028cf9c0be2dd6d37d2056f0e463769f1267a20251f9fe424efacddc8b4

Observation 1499d78b-05ec-457c-ad10-9dd497586a60 · outbound

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

Test-time regression: a unifying framework for designing sequence models with associative memory Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 80

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no resolver link, observed 2026-08-10T17:22:07.321016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.321016Z digest=sha256:2c6a053fbba57c07fbf327f0c2f4a5669e483b703e3cd411e55f27e9167f61dd

Observation 3bc336ff-0c17-4c1d-87c1-17d64b80dd71 · outbound

This paper cites Sutskever, O.

Test-time regression: a unifying framework for designing sequence models with associative memory Sutskever, O

Reference 81

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raw_fallback, observed 2026-08-10T17:22:08.819717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.325995Z digest=sha256:403d2a3e774315015d149faae4dd15daa3b858f5bf5c92488bc9b2cac7fc707f

Observation 84d347a1-a628-4975-86f4-6e1aeb6eff82 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 82

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raw_fallback, observed 2026-08-10T17:22:08.804219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.330881Z digest=sha256:b76c308a5bb53266de5e241f443ac565d57025b6a16c8d03bf9d3383892360e5

Observation 2dbe2fe7-4cce-400c-9db2-e0a584170dd6 · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 83

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doi, observed 2026-08-10T17:22:07.484735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.336787Z digest=sha256:0350bfe495b5bb13036b0ecd7b89aa5795513d2182ba55be5fe914a80e951454

Observation 376960a8-f91a-49dd-ab33-d3c7017400be · outbound

This paper cites The unreasonable effectiveness of the forget gate.

Test-time regression: a unifying framework for designing sequence models with associative memory The unreasonable effectiveness of the forget gate

Reference 84

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.342033Z digest=sha256:12427161de222038644802342c65fdd3d0f0a67bdcb47aa6ab2ee710e9633da5

Observation cba58526-dc75-474e-bd52-22b55e81ef56 · outbound

This paper cites Vaswani, N.

Test-time regression: a unifying framework for designing sequence models with associative memory Vaswani, N

Reference 85

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raw_fallback, observed 2026-08-10T17:22:08.787706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.347012Z digest=sha256:b864b5cb2380c71d8a6b7977065d6c2b9b2800c4032b342baf6c2501d73a82c0

Observation 322ea548-315f-4b05-a5d7-8a836bd58a5c · outbound

This paper cites Uncovering mesa-optimization algorithms in Transformers.

Test-time regression: a unifying framework for designing sequence models with associative memory Uncovering mesa-optimization algorithms in Transformers

Reference 86

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no resolver link, observed 2026-08-10T17:22:07.351612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.351612Z digest=sha256:f005a3a9b1691720acb45e7bc402a38a5377e522977603f90bd4d61dd50bdeea

Observation e362ef70-618c-4837-b46f-a600461a1434 · outbound

This paper cites Wasserman.

Test-time regression: a unifying framework for designing sequence models with associative memory Wasserman

Reference 87

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doi, observed 2026-08-10T17:22:07.449829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.356833Z digest=sha256:8d1885d8e92602c62112637bcebde08a1095e4865c02864f0b3e3530f7b2d241

Observation 57ce7e04-2da2-48dc-ba5d-57dee93a6d35 · outbound

This paper cites Widrow and M.

Test-time regression: a unifying framework for designing sequence models with associative memory Widrow and M

Reference 88

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raw_fallback, observed 2026-08-10T17:22:08.768784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.361687Z digest=sha256:41b1501f51434357d35f660ff069d97d1c66c51deaa2c550430890a3d23551c9

Observation b5f4fbc9-a1e8-4160-b990-6c893e5e8177 · outbound

This paper cites Wortsman, P.

Test-time regression: a unifying framework for designing sequence models with associative memory Wortsman, P

Reference 89

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raw_fallback, observed 2026-08-10T17:22:08.752553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.366389Z digest=sha256:90dbebedc3b46e5b1118f6736610748b2e249f09f45f1de3789574a014d14d1f

Observation ddcc2ab3-d205-4565-a5dc-e57d2ac251a4 · outbound

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

Test-time regression: a unifying framework for designing sequence models with associative memory Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 90

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no resolver link, observed 2026-08-10T17:22:07.371733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.371733Z digest=sha256:e489646de4426ea42776d9224f4fb2ba7a4c1e8095327b56b450a0703661ca44

Observation 482e050d-5d77-4e41-9d8a-d00baa0dc2eb · outbound

This paper cites an unresolved cited work.

Test-time regression: a unifying framework for designing sequence models with associative memory Unresolved cited work

Reference 91

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raw_fallback, observed 2026-08-10T17:22:08.735892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.377245Z digest=sha256:ae69506d06bf9775ea081494f08d7c50c3ec30b9b1ec4d1c456657eaf00155f5

Observation 6f79ae86-8ea2-4af2-9727-a4324d7a8c57 · outbound

This paper cites Parallelizing Linear Transformers with the Delta Rule over Sequence Length.

Test-time regression: a unifying framework for designing sequence models with associative memory Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 92

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no resolver link, observed 2026-08-10T17:22:07.382165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.382165Z digest=sha256:f0b7d21d37c6a3a5e6492243fca6647aca25285917a7b2cc159897603b4b8f24

Observation 256ba279-c5f2-4358-acc9-db2f905018d4 · outbound

This paper cites Zhang, K.

Test-time regression: a unifying framework for designing sequence models with associative memory Zhang, K

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:22:08.718619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.387182Z digest=sha256:51962f210e458bc60d438bf53165d72ecd5303a2e9c1151f3b61223dc1c545ff

Observation dc3a43c9-b1d4-4ec5-8ca8-fd4ae1673dd0 · outbound

This paper cites Zhou and O.

Test-time regression: a unifying framework for designing sequence models with associative memory Zhou and O

Reference 94

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no resolver link, observed 2026-08-10T17:22:07.392211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:22:07.392211Z digest=sha256:dc3cf74935fc751fc4cb5f1e6412eee9f966dc5d70b6e0a354ba473ebd17d378

Observation 978d5799-ea6c-4618-86c6-a0d0cf62230c · outbound

This paper cites Zinkevich.

Test-time regression: a unifying framework for designing sequence models with associative memory Zinkevich

Reference 95

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verified fuzzy
raw_fallback, observed 2026-08-10T17:22:08.701155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:22:07.397228Z digest=sha256:5630b527c44d00665dbfa3a4f5305122e40a0f2e1184fa85b464e2a2a960bccd

Pith citing papers

Observation 63350a0c-44c2-4415-90fd-f84177b3fd46 · inbound

Understanding Transformer from the Perspective of Associative Memory cites this paper.

Understanding Transformer from the Perspective of Associative Memory Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 45

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no resolver link, observed 2026-08-07T14:19:53.627251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:53.627251Z digest=sha256:3f5418373b18a33b1d37d03d79f1b113bd0b5bc9af61e4f71cc431f890ffd685

Observation 1d178049-daf8-48e6-a22e-b814077725a1 · inbound

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

ATLAS: Learning to Optimally Memorize the Context at Test Time Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 83

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no resolver link, observed 2026-08-07T12:44:21.637138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:21.637138Z digest=sha256:085dc6d31698223b58d8a27ecc4fe580b50a39b025dcc7bfa5ea8535e808b12d

Observation 41700b0a-b41e-4d62-96fc-dfdcdd6bb1cb · inbound

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training cites this paper.

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 115

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no resolver link, observed 2026-08-07T10:30:13.986729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:30:13.986729Z digest=sha256:660cd227feb8b279b173e0a63e5b1af4d37462b464f9a1852087288728564f01

Observation 1e88adb8-3f10-4f1d-ae46-24cff80be4cf · inbound

Distributed Associative Memory via Online Convex Optimization cites this paper.

Distributed Associative Memory via Online Convex Optimization Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 11

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arxiv_id, observed 2026-05-18T13:22:37.617675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T13:22:08.134149Z digest=sha256:2d00f134e81be62629da7ab45bb831d4452478d9e8630fa0b43e0a340e2b78ef

Observation e513ce8d-dadc-4212-b59d-f6dc2c674913 · inbound

StateX: Enhancing RNN Recall via Post-training State Expansion cites this paper.

StateX: Enhancing RNN Recall via Post-training State Expansion Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 21

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metadata mismatch
arxiv_id, observed 2026-05-18T12:31:22.171022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T12:27:06.616920Z digest=sha256:314711969e9277a081d2262b7b752ce5de1d461dd03992dcb0e3b76c6165a416

Observation 8077fc03-7a0b-466e-8218-016c2becbbb6 · inbound

TTT3R: 3D Reconstruction as Test-Time Training cites this paper.

TTT3R: 3D Reconstruction as Test-Time Training Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 88

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arxiv_id, observed 2026-05-17T06:41:16.424209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T06:41:16.306593Z digest=sha256:17266992ca7b2538f1d20b82c278474cb7f542d77e25a538f16a918922ecb90e

Observation d12d6d6e-cc43-4691-901f-6d9f7dd35671 · inbound

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression cites this paper.

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 61

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arxiv_id, observed 2026-05-21T18:00:27.160758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T17:59:23.826110Z digest=sha256:f9338ff5541aa546f603d5e976ac77bf54fa6bc788b568f903a05a81121f59be

Observation 3a979f6e-0bd4-45f0-9e7b-00f41186e53c · inbound

Distributed Dynamic Associative Memory via Online Convex Optimization cites this paper.

Distributed Dynamic Associative Memory via Online Convex Optimization Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 5

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unresolved
no resolver link, observed 2026-08-03T19:39:07.814680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:39:07.814680Z digest=sha256:46852d0dbd0ede08f34f0017dde79d8bcb0cc1993c32443a3c34ff36d2b801ca

Observation 0d9ab7f9-d120-4f97-b95f-62990d3465d9 · inbound

SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Training cites this paper.

SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Training Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 78

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no resolver link, observed 2026-08-03T18:25:58.917215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:25:58.917215Z digest=sha256:a734499de8aab53ff8f927e8b99e23004d4e69f270e01344120cc2ca86d99f2c

Observation 9a5886ad-ffa6-4c19-9105-586fa402b2fd · inbound

Sparse Attention as Compact Kernel Regression cites this paper.

Sparse Attention as Compact Kernel Regression Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 18

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verified exact
arxiv_id, observed 2026-05-16T09:27:41.339497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T09:24:11.492573Z digest=sha256:b46dbabc394201d603736cd860a182d4bcf4a99a3d37f13f2fefe5f1a3700637

Observation 47833155-d56b-4595-b06a-47a338de47f0 · inbound

Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models cites this paper.

Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 30

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no resolver link, observed 2026-08-03T04:55:43.290050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:55:43.290050Z digest=sha256:fb5e39ad959c1af858300babb78f5157ecb086cd361a4b003b0a3132cf2ef3a0

Observation 3a3bdfc9-e605-4451-9408-ac1865342f33 · inbound

Test-Time Training with KV Binding Is Secretly Linear Attention cites this paper.

Test-Time Training with KV Binding Is Secretly Linear Attention Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T19:41:32.731079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T19:40:35.854519Z digest=sha256:981830585e05f17dde9588cd5500deea6fbfd833cc88729aaef95db2bc3be84a

Observation 94dad6f0-a65e-49be-85c4-3a209da4e59c · inbound

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training cites this paper.

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:26:17.440259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T16:21:16.229770Z digest=sha256:ac8098d53750027afc20c9e6b70d83654f0ad4b9ddb916d6e1058fc2b0cd5e8d

Observation 702193af-0e10-49a6-9312-cbfaa87d70fa · inbound

In-Place Test-Time Training cites this paper.

In-Place Test-Time Training Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:30:48.981609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:07:47.174513Z digest=sha256:9b1a91a533169bacc3396e05503a99840a01a1959e1f9a3ebf98ea636285a108

Observation 8255e303-a335-49b9-831e-5f78efda1d2a · inbound

Fast Spatial Memory with Elastic Test-Time Training cites this paper.

Fast Spatial Memory with Elastic Test-Time Training Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 51

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verified exact
arxiv_id, observed 2026-05-11T00:35:50.021559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:27:24.750995Z digest=sha256:af3a97b4a52ba85c8cd4f462853150bf24068777c80e7a49382ef088978173ba

Observation af1eda7f-245f-4ca3-9874-87fe95d1833d · inbound

Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction cites this paper.

Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:59.698668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:56:14.380078Z digest=sha256:8f1a161f497d732cb861d8486f9925f3aa0c02b6cb5eb32a35fec490e4347772

Observation cd443a91-f03e-4065-b8c8-9273ad800006 · inbound

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences cites this paper.

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:19:46.567192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T00:19:24.366922Z digest=sha256:6184080a4613f02937f6efd659cc16d0dd8bc6959ecf143cc534e88e9752904c

Observation 805150bc-6ca5-412d-b6d7-419f0d7733b8 · inbound

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention cites this paper.

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 84

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:11.016309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T15:27:55.566795Z digest=sha256:11be07d8386dfc68fb9f2f05459ec77baad196fb29ed97d51518ec7217c44fc0

Observation 1c0b7488-6b92-40cf-b436-2607b5459681 · inbound

Kaczmarz Linear Attention cites this paper.

Kaczmarz Linear Attention Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:37.408796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:15:58.330766Z digest=sha256:f4ebe673d3f10ebdb06a6fe5fe4b74fb5251b086d5f772d32b4ff6149f282ef4

Observation d27565d6-7a06-4351-b610-aceb41d9680a · inbound

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention cites this paper.

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:09:23.253251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T19:08:18.768344Z digest=sha256:83aa78804501040bc38328afc3342114f9a2cc15c07f71f10f867d387f0f2971

Observation 1ed8036b-0dc3-4734-985c-91fe59d37587 · inbound

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers cites this paper.

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 44

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arxiv_id, observed 2026-06-29T22:34:02.778102Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T22:14:36.959998Z digest=sha256:e027f39e718efb20d4cfe7df218c21d92c1c4c64af68a9de2ac0f1c2c52b365b

Observation cd63d080-19a7-4db0-8933-c0c14b140701 · inbound

Dynamic Short Convolutions Improve Transformers cites this paper.

Dynamic Short Convolutions Improve Transformers Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 175

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metadata mismatch
arxiv_id, observed 2026-07-02T02:36:26.967637Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T10:48:50.103004Z digest=sha256:aeb7e3274a685b50e47663969e567db4dde9afbd15f60972c7a395dab5fc9423

Observation 21f10064-d4b1-4524-b05f-a05b7056da37 · inbound

Tapered Language Models cites this paper.

Tapered Language Models Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 38

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verified exact
arxiv_id, observed 2026-07-04T10:09:44.034691Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T09:11:20.341634Z digest=sha256:db40a5855d8a8a12a85048cfb34cb878f636551f21db1c3870f35faa2c2e22e2

Observation 7c5dd35c-ff75-4dee-bb0d-141bb4d07dba · inbound

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention cites this paper.

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:30:07.281255Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T21:19:30.138022Z digest=sha256:9f3599de8bb3ac67cbbdba1e8206fbc5f7ded9434300cab3e5b6281ca7df535a

Observation 0bf6593c-4295-42c0-805d-2c5ffdc945f5 · inbound

The Orthogonalized Read Is a Removable Training Scaffold for Recurrent Memory cites this paper.

The Orthogonalized Read Is a Removable Training Scaffold for Recurrent Memory Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T09:06:11.054745Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:06:11.054745Z digest=sha256:bdd7028b5f5f4d40edfba957b62bdce49169a7dd7a811a962bb525e11edf56dc