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Paper Citation Record · LEDGER

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory

As of 20 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2608.01947.

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

pith.paper-citation-record.v1
2608.01947 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:59:40.005754Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

68 of 68 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a3c0f95-4e7b-4a91-9cea-ea0e7fb7e6f1 · outbound

This paper cites Implicit Regularization in Matrix Factorization , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Implicit Regularization in Matrix Factorization , booktitle =

Reference 1

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Observation 4d47bdc5-be3a-4c02-93bf-8700b4fd4b70 · outbound

This paper cites Implicit Regularization in Deep Matrix Factorization , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Implicit Regularization in Deep Matrix Factorization , booktitle =

Reference 2

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Observation d913b631-2577-442b-91a5-94aef9a6c049 · outbound

This paper cites How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites

Reference 3

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Observation a907e483-29e6-4406-963a-96ed3f9998a6 · outbound

This paper cites , year = 2009, journal =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory , year = 2009, journal =

Reference 4

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Observation 2be44f12-8ad8-4454-a84e-b50b8cf247f8 · outbound

This paper cites Capacity-.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Capacity-

Reference 5

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verified exact
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Observation 6319c2ab-a5a6-44b3-a347-6e15f9df1eb9 · outbound

This paper cites , author =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory , author =

Reference 6

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This paper cites PLOS Computational Biology , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory PLOS Computational Biology , volume =

Reference 7

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Observation 2ae5d9ee-e202-4b28-b3c8-5a67a40b389e · outbound

This paper cites Current Opinion in Neurobiology , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Current Opinion in Neurobiology , volume =

Reference 8

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Observation 598e9be8-9940-49a3-896d-db61a1b52eb8 · outbound

This paper cites PLOS Computational Biology , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory PLOS Computational Biology , volume =

Reference 9

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Observation d41a5472-bb2e-4089-b0da-ba8e13580cba · outbound

This paper cites Nature Reviews Neuroscience , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature Reviews Neuroscience , volume =

Reference 10

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This paper cites Nature Neuroscience , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature Neuroscience , volume =

Reference 11

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Observation af79aace-bed0-4cce-a0d8-4243807ee258 · outbound

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Unresolved cited work

Reference 12

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Observation c3aac054-66c5-4831-9484-c2aa572b0605 · outbound

This paper cites , year = 2000, journal =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory , year = 2000, journal =

Reference 13

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Observation b972a62c-428c-4c6e-b902-794a1464c28d · outbound

This paper cites and Qi, Xue-Lian and Wang, Min and Arnsten, Amy F.T.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Qi, Xue-Lian and Wang, Min and Arnsten, Amy F.T

Reference 14

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verified exact
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Observation d18e84ac-f4a2-4888-b03f-a8d26a9a0cf9 · outbound

This paper cites The loss landscape of overparameterized neural networks.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory The loss landscape of overparameterized neural networks

Reference 15

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Observation a8522b0f-31da-4201-b27b-2fd407ea5bd5 · outbound

This paper cites Gradient Descent Finds Global Minima of Deep Neural Networks , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Gradient Descent Finds Global Minima of Deep Neural Networks , booktitle =

Reference 16

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Observation 92410772-eeab-4b0f-9382-d58841b3f64e · outbound

This paper cites Physical Review Research , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Physical Review Research , volume =

Reference 17

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Observation 1ab5aeba-6a05-499c-ba6f-a71ffd25d23c · outbound

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Unresolved cited work

Reference 18

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Observation 8d483c31-238c-4a86-80b8-d838ce323525 · outbound

This paper cites Nature Reviews Neuroscience , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature Reviews Neuroscience , volume =

Reference 19

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Observation 6823c40b-c65f-466a-9c1f-9f6287a01de5 · outbound

This paper cites Nature Machine Intelligence , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature Machine Intelligence , volume =

Reference 20

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correction dated 2022-10-19. Source: crossref record 10.1038/s42256-022-00565-6->10.1038/s42256-022-00498-0:correction, observed 2026-07-11T03:05:43.708109+00:00. This notice travels one citation hop only.

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Journal of Differential Equations , volume =

Reference 21

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Observation ca270dd4-3301-41d3-9321-b4d918924c91 · outbound

This paper cites and Lund, J.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Lund, J

Reference 22

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Observation be9074b5-0896-4e46-803b-684128ceff86 · outbound

This paper cites PLOS Computational Biology , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory PLOS Computational Biology , volume =

Reference 23

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Observation 7a78f010-a1e7-4676-88bf-57aaa9c28d23 · outbound

This paper cites and Koutnik, Jan and Steunebrink, Bas R.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Koutnik, Jan and Steunebrink, Bas R

Reference 24

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Observation fee49144-13ae-49e3-9b04-73d20c9a604e · outbound

This paper cites Nature , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature , volume =

Reference 25

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Visual Neuroscience , volume =

Reference 26

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Mackey, Wayne E

Reference 27

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correction dated 2020-01-06. Source: crossref record 10.1073/pnas.1921632117->10.1073/pnas.1911633116:correction, observed 2026-07-11T03:08:16.336885+00:00. This notice travels one citation hop only.

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This paper cites and Gerstner, Wulfram , year = 2014, journal =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Gerstner, Wulfram , year = 2014, journal =

Reference 28

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verified exact
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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Koch, Christof , year = 1997, journal =

Reference 29

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Reference 30

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature Reviews Neuroscience , volume =

Reference 31

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Ermentrout, Bard , year = 2013, journal =

Reference 32

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature Neuroscience , volume =

Reference 33

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory A Recurrent Neural Network without Chaos , booktitle =

Reference 34

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

Reference 35

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Symmetry,

Reference 36

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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature Reviews Neuroscience , volume =

Reference 37

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Observation 076fc447-9028-4be3-ab0e-bbe4a9d09d48 · outbound

This paper cites an unresolved cited work.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-04T17:59:37.599893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:37.599893Z digest=sha256:17b774bd8072c292ee39f6edb29b5c39b3194f835f114c8034d0b05e206dc172

Observation 76d5f3c1-7975-421c-81c6-72c117afc9ce · outbound

This paper cites PLOS Computational Biology , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory PLOS Computational Biology , volume =

Reference 39

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verified exact
doi, observed 2026-08-04T18:04:01.542087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-04T17:59:37.681092Z digest=sha256:6cc0390f9c5f65cdd5b36e8b850f2a9b6ede4130fe89fae0229204a182de7089

Observation aa149ca0-87ef-481f-a407-5fc0b854677b · outbound

This paper cites and Miller, Kenneth D.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Miller, Kenneth D

Reference 40

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no resolver link, observed 2026-08-04T17:59:37.773161Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:59:37.773161Z digest=sha256:5bc9f0b7d8a02b39a2a3657c4342c9b9459b6c2894f2e05af7963c2174c287ff

Observation 2fbe28e1-829e-42f1-ba38-0dfbbd379a32 · outbound

This paper cites Understanding and Improving Layer Normalization , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Understanding and Improving Layer Normalization , booktitle =

Reference 41

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no resolver link, observed 2026-08-04T17:59:37.841105Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:59:37.841105Z digest=sha256:3a083f1d20656d55ffbe3e545d46307da9ae3ddf8bd374145d2efcdd746f381a

Observation 046aa735-65d7-4706-b201-91669f251399 · outbound

This paper cites Universality and Individuality in Neural Dynamics across Large Populations of Recurrent Networks , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Universality and Individuality in Neural Dynamics across Large Populations of Recurrent Networks , booktitle =

Reference 42

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no resolver link, observed 2026-08-04T17:59:37.959141Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:59:37.959141Z digest=sha256:938b5166559824ace02a1b165b2242b4b6f71b1ea3147dfc398568d1e496e24e

Observation 77d6701c-c0b6-4100-91fc-6a10136f62a2 · outbound

This paper cites Back to the Continuous Attractor , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Back to the Continuous Attractor , booktitle =

Reference 43

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no resolver link, observed 2026-08-04T17:59:38.016870Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:59:38.016870Z digest=sha256:923089c3b2a9564f129e492173278e6c6d766461da1c136a810d1d3d34abf88f

Observation 292f9fa5-dca5-443b-9eba-21da48a5c028 · outbound

This paper cites Resurrecting the Sigmoid in Deep Learning through Dynamical Isometry: Theory and Practice , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Resurrecting the Sigmoid in Deep Learning through Dynamical Isometry: Theory and Practice , booktitle =

Reference 44

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unresolved
no resolver link, observed 2026-08-04T17:59:38.105997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:38.105997Z digest=sha256:a3ba3c2642470794aa799e589428dcbad5de1f9f37db23c45408a3cf3e5818dd

Observation 374ba307-9a7f-413b-9c0f-830341201873 · outbound

This paper cites Revisiting the Landscape of Matrix Factorization , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Revisiting the Landscape of Matrix Factorization , booktitle =

Reference 45

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unresolved
no resolver link, observed 2026-08-04T17:59:38.205593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:38.205593Z digest=sha256:26fe132dc9dd4728776e4d4e438af0d7e2213969cefe47b82815238295875152

Observation 9d3381f2-6b2a-48a7-9d99-0604c6fd7f3c · outbound

This paper cites and Moroshko, Edward and Savarese, Pedro and Golan, Itay and Soudry, Daniel and Srebro, Nathan , editor =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Moroshko, Edward and Savarese, Pedro and Golan, Itay and Soudry, Daniel and Srebro, Nathan , editor =

Reference 46

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no resolver link, observed 2026-08-04T17:59:38.290250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:38.290250Z digest=sha256:1660c24630b4af1b9cceda46742999e961f9f4d11ae21aa7081cdf61a84adf36

Observation e39e21c2-a290-4395-be90-70dbb3ffec4d · outbound

This paper cites Deep Sparse Rectifier Neural Networks , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Deep Sparse Rectifier Neural Networks , booktitle =

Reference 47

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unresolved
no resolver link, observed 2026-08-04T17:59:38.363416Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:59:38.363416Z digest=sha256:b46be7792d243ae4647ee9ea868d4dbbdb336edd1beccf3e45e32350494970e7

Observation 9b762f39-c403-40b3-b0c2-3ecd9e2381f8 · outbound

This paper cites Proceedings of the 32nd International Conference on Machine Learning , author =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Proceedings of the 32nd International Conference on Machine Learning , author =

Reference 48

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no resolver link, observed 2026-08-04T17:59:38.445736Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:59:38.445736Z digest=sha256:85c0598b4710b37d1f0a80a4eb3f1f3b9525c008cb33cba1c3b81f2ce56adb5d

Observation 10ef4273-17e1-47e3-8867-5e8f37d0fb32 · outbound

This paper cites An Empirical Exploration of Recurrent Network Architectures , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory An Empirical Exploration of Recurrent Network Architectures , booktitle =

Reference 49

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no resolver link, observed 2026-08-04T17:59:38.522759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:38.522759Z digest=sha256:1f110a9c9ad21ea52f7ff88f3855ced8ddf4c40626425e9dde4481bbc2491857

Observation ec055682-3b51-4604-aba5-acb7088e8479 · outbound

This paper cites Sharp Minima Can Generalize for Deep Nets , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Sharp Minima Can Generalize for Deep Nets , booktitle =

Reference 50

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no resolver link, observed 2026-08-04T17:59:38.625721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:38.625721Z digest=sha256:c4fdcda0e74be27b821d9536892e09719d6900f4f55ab423e058e63f4eb0c005

Observation 918632aa-8f10-445a-afcf-df5daf717746 · outbound

This paper cites No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis , booktitle =

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T17:59:38.723948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:38.723948Z digest=sha256:014f63a218d09de7c5a8a6e4eba0f469ba8a05ee6ee64a3b580c8a5ea4c9702f

Observation 3a04e3c7-6705-4726-960f-2767a6ee9f25 · outbound

This paper cites Algorithmic Regularization in Over-Parameterized Matrix Sensing and Neural Networks with Quadratic Activations , booktitle =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Algorithmic Regularization in Over-Parameterized Matrix Sensing and Neural Networks with Quadratic Activations , booktitle =

Reference 52

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unresolved
no resolver link, observed 2026-08-04T17:59:38.809306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:38.809306Z digest=sha256:65204e6cb35770218e27831d0ca85237afb29ad2d7e0da235d742adce58d06d9

Observation a29bc969-3058-4647-a82a-10183c579161 · outbound

This paper cites and Huerta, Ram.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Huerta, Ram

Reference 53

Resolution
verified exact
doi, observed 2026-08-04T18:04:01.100566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-04T17:59:38.900506Z digest=sha256:b0898e0e810981403157662e981d09273138814665a90c369de4ef40c832f425

Observation 5baa88d5-eaa5-44ba-9bea-81785accfcf4 · outbound

This paper cites an unresolved cited work.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Unresolved cited work

Reference 54

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no resolver link, observed 2026-08-04T17:59:38.981180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:38.981180Z digest=sha256:f0cca5d1b464451805befe0957d92953946a20691c635aecd11d8e29f10e7ed0

Observation 77e8323c-6caf-4eb1-9c6f-282b53e26145 · outbound

This paper cites and Martiniani, Stefano , editor =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Martiniani, Stefano , editor =

Reference 55

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unresolved
no resolver link, observed 2026-08-04T17:59:39.064590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:39.064590Z digest=sha256:6d995a7b7b6392c7a538c987ae8a0f0deb74f2bed42664e2247d44afde99fc9f

Observation 3da85d1a-f333-41d0-a1ac-f19cfe4cbdda · outbound

This paper cites an unresolved cited work.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Unresolved cited work

Reference 56

Resolution
verified exact
doi, observed 2026-08-04T18:04:00.670136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-04T17:59:39.125936Z digest=sha256:c4bd81474b607598fff417640f2bd3cf3f2d86f54637a71ec81361d9a0f1771e

Observation 3d86ebcf-bec8-4298-aa3f-80f7172dff96 · outbound

This paper cites , year = 2017, journal =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory , year = 2017, journal =

Reference 57

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no resolver link, observed 2026-08-04T17:59:39.197746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:39.197746Z digest=sha256:83ca0b1cf895baae0230e07162f3bdb1ea2605bfe89386ceda297065de504cc6

Observation 625a8494-f5d8-40e2-a218-48fff0d534c6 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Proceedings of the National Academy of Sciences , volume =

Reference 58

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unresolved
no resolver link, observed 2026-08-04T17:59:39.289510Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:39.289510Z digest=sha256:731bd22164a1ec9db67ce284fc7fa34b9ffb76f0aa6f2bc96a71cba17ed551b8

Observation c2e034e7-517c-47ec-a738-9a0461388f97 · outbound

This paper cites Impact of.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Impact of

Reference 59

Resolution
verified exact
doi, observed 2026-08-04T18:04:00.485466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-04T17:59:39.369564Z digest=sha256:42f6da54f463ad4b9b24a818a5aeafb86d296d98afb37dd3df3b4e95ae4c319c

Observation a4fbbac1-e712-4520-b2b6-32234e29e5e5 · outbound

This paper cites Nature Reviews Neuroscience , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature Reviews Neuroscience , volume =

Reference 60

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no resolver link, observed 2026-08-04T17:59:39.431028Z

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source=arxiv_source observed=2026-08-04T17:59:39.431028Z digest=sha256:3b75be6ff1b5cf5252d591d76b3a3f2733eca1eb0e365d9bac352c519399cda1

Observation 3659451f-1320-4ef6-b54b-210dec28efd0 · outbound

This paper cites , year = 2018, edition =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory , year = 2018, edition =

Reference 61

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no resolver link, observed 2026-08-04T17:59:39.498333Z

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source=arxiv_source observed=2026-08-04T17:59:39.498333Z digest=sha256:1717de22df788a4e397fc3af1f34f74296d82568ceae03de7e053f3ac8d5fdaa

Observation 4d653cc9-0b27-44d6-b14b-0443ec488978 · outbound

This paper cites Opening the.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Opening the

Reference 62

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no resolver link, observed 2026-08-04T17:59:39.574173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:39.574173Z digest=sha256:9709541547720ba624a0256ff75b51fc765c54876cc4c9cb935c48ed1f4dae13

Observation 13be8153-55a4-4aad-8851-4e65a6b2ec45 · outbound

This paper cites Nature Neuroscience , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Nature Neuroscience , volume =

Reference 63

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no resolver link, observed 2026-08-04T17:59:39.638651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:39.638651Z digest=sha256:5149333741f0a8389ef31dd1c919d7f62c69937631a398791136c6f53650c257

Observation e2cc91b6-951a-48ec-894c-71f070f14ab0 · outbound

This paper cites Advances in Neural Information Processing Systems , author =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Advances in Neural Information Processing Systems , author =

Reference 64

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no resolver link, observed 2026-08-04T17:59:39.701965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:39.701965Z digest=sha256:205aa4811710a62563a82724769c5c0b7e6f393dc06e178aed6911221b762191

Observation 4afbf592-ca53-4309-8d58-0252dbcc3039 · outbound

This paper cites The Twelfth International Conference on Learning Representations , author =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory The Twelfth International Conference on Learning Representations , author =

Reference 65

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no resolver link, observed 2026-08-04T17:59:39.782427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:39.782427Z digest=sha256:27892f241a2ca5f7d7c46d777ea102c1fe6a5053f05c01d611de0c8a7e4b3ed0

Observation a90aaf51-3cb3-4968-87d5-3a17047ccf66 · outbound

This paper cites and Graham, Michael D.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory and Graham, Michael D

Reference 66

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no resolver link, observed 2026-08-04T17:59:39.878406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:39.878406Z digest=sha256:d99f9f5a03c90fd79d0fc8e43056a810badefdfc61461f57f2eebb06bb82685e

Observation 030e56a2-b564-4967-98da-5c518a147485 · outbound

This paper cites The Journal of Neuroscience , volume =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory The Journal of Neuroscience , volume =

Reference 67

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no resolver link, observed 2026-08-04T17:59:39.939919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:39.939919Z digest=sha256:d3c1fd31457a7017d839ee1b358845cf8d82841f8620d8d5f2b8bc5a5924c0ad

Observation 33f37e5e-e91b-48e0-9a47-10e7d843c006 · outbound

This paper cites Transactions on Machine Learning Research , issn =.

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory Transactions on Machine Learning Research , issn =

Reference 68

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no resolver link, observed 2026-08-04T17:59:40.005754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:59:40.005754Z digest=sha256:f26b5f5c6bfc0cae9c54f1f0dba1669ff7b4e89d226ec6d6c6b595cadf4e80bb

Pith citing papers

No inbound Pith citation observations are available.