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Paper Citation Record · LEDGER

Learning in Deep Networks under Dale's Constraint

As of 11 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2608.06963.

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

pith.paper-citation-record.v1
2608.06963 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:39:42.655198Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

100 of 300 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved90
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d5c510b-755f-4574-a5d7-70bd583ff3ca · outbound

This paper cites Decoupling Gating from Linearity.

Learning in Deep Networks under Dale's Constraint Decoupling Gating from Linearity

Reference 1

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Observation 6af272ca-e730-4107-8f4e-d63e74667a92 · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning in Deep Networks under Dale's Constraint Decoupled Weight Decay Regularization

Reference 2

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Observation 4cbd1539-adf0-45f0-adf9-fdb940dd8806 · outbound

This paper cites Nature neuroscience , volume=.

Learning in Deep Networks under Dale's Constraint Nature neuroscience , volume=

Reference 3

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Observation 18aae71b-8c00-4d0e-8c6f-a0788df8594e · outbound

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

Learning in Deep Networks under Dale's Constraint Advances in Neural Information Processing Systems , volume=

Reference 4

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Observation f60b2705-ee67-4561-8c10-ca32de675e70 · outbound

This paper cites Net2Brain: A Toolbox to compare artificial vision models with human brain responses.

Learning in Deep Networks under Dale's Constraint Net2Brain: A Toolbox to compare artificial vision models with human brain responses

Reference 5

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Observation 5d8e4f4a-2b62-40d1-bde8-623dc264734e · outbound

This paper cites PLoS computational biology , volume=.

Learning in Deep Networks under Dale's Constraint PLoS computational biology , volume=

Reference 6

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Observation da68c1e0-45bc-4c4f-a8cd-bc1237eb646b · outbound

This paper cites nature , volume=.

Learning in Deep Networks under Dale's Constraint nature , volume=

Reference 7

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Observation b8471ec7-e0ec-4ca5-9482-58a576f8b1d3 · outbound

This paper cites CS 231N , volume=.

Learning in Deep Networks under Dale's Constraint CS 231N , volume=

Reference 8

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source=arxiv_source observed=2026-08-10T17:39:42.182263Z digest=sha256:a6966a50ec88c002d5c9a4797864350d59c7ada49f165d7f59e11183f9f2dead

Observation f7eca98c-2af2-4f62-83af-77d8dbbf352a · outbound

This paper cites Disordered systems and biological organization , pages=.

Learning in Deep Networks under Dale's Constraint Disordered systems and biological organization , pages=

Reference 9

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Observation 6a6bf7bf-dd2b-493f-8d03-10ec454fb24d · outbound

This paper cites Joint european conference on machine learning and knowledge discovery in databases , pages=.

Learning in Deep Networks under Dale's Constraint Joint european conference on machine learning and knowledge discovery in databases , pages=

Reference 10

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Observation 84f875ab-1d2a-4e44-bd0e-26c491e99187 · outbound

This paper cites GAIT-prop: A biologically plausible learning rule derived from backpropagation of error.

Learning in Deep Networks under Dale's Constraint GAIT-prop: A biologically plausible learning rule derived from backpropagation of error

Reference 11

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Observation 8a157f75-802e-4280-b1ec-919b75452a65 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

Learning in Deep Networks under Dale's Constraint Proceedings of the national academy of sciences , volume=

Reference 12

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Observation 183bc3c9-46c6-4d12-a803-4b1f729a5322 · outbound

This paper cites Early Inference in Energy-Based Models Approximates Back-Propagation.

Learning in Deep Networks under Dale's Constraint Early Inference in Energy-Based Models Approximates Back-Propagation

Reference 13

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Observation 79c3c4cd-b1f0-4d0f-8e10-10c25770b235 · outbound

This paper cites Frontiers in computational neuroscience , volume=.

Learning in Deep Networks under Dale's Constraint Frontiers in computational neuroscience , volume=

Reference 14

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Observation 0fe6edfe-feb1-4583-9e2c-66f20182dadd · outbound

This paper cites Frontiers in neuroscience , volume=.

Learning in Deep Networks under Dale's Constraint Frontiers in neuroscience , volume=

Reference 15

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source=arxiv_source observed=2026-08-10T17:39:42.221990Z digest=sha256:89149ef5fc07c974a89803438379a691df3849ae0ec780874587fac291020409

Observation a1c4ffb2-1988-4436-a76b-16624afa4eb0 · outbound

This paper cites Annals of the New York Academy of Sciences , volume=.

Learning in Deep Networks under Dale's Constraint Annals of the New York Academy of Sciences , volume=

Reference 16

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Observation cdee25b3-7a5e-44e3-92ea-5908ec5dc1a3 · outbound

This paper cites Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning.

Learning in Deep Networks under Dale's Constraint Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning

Reference 17

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Observation 76697e78-44aa-4448-86e3-41eddca46433 · outbound

This paper cites Neural computation , volume=.

Learning in Deep Networks under Dale's Constraint Neural computation , volume=

Reference 18

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Observation 94dd01dd-5d3e-49b7-82b2-ffcc69c8abcd · outbound

This paper cites Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain.

Learning in Deep Networks under Dale's Constraint Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain

Reference 19

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Observation 62863c1d-ba9b-4f29-bd6f-4cdd2fda3463 · outbound

This paper cites Proceedings of the IEEE , volume=.

Learning in Deep Networks under Dale's Constraint Proceedings of the IEEE , volume=

Reference 20

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Observation a5fd7897-950d-4651-af10-759fe2afb45c · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Learning in Deep Networks under Dale's Constraint Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 21

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Observation afdb5c68-4fee-460c-8c1f-3f9586819ae0 · outbound

This paper cites The journal of machine learning research , volume=.

Learning in Deep Networks under Dale's Constraint The journal of machine learning research , volume=

Reference 22

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Observation d715093a-f26f-4f5a-afe0-0855cf923308 · outbound

This paper cites Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs.

Learning in Deep Networks under Dale's Constraint Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Reference 23

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Observation ba5820c4-d10e-41f3-96f5-e9d63340a259 · outbound

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Learning in Deep Networks under Dale's Constraint The Eleventh International Conference on Learning Representations , year=

Reference 24

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Observation c9ca4f47-ae3e-4a5a-95e2-ff877dbf562a · outbound

This paper cites Meta-Learning Deep Energy-Based Memory Models.

Learning in Deep Networks under Dale's Constraint Meta-Learning Deep Energy-Based Memory Models

Reference 25

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Observation 37be3224-b3b8-43b7-87f7-f864e8f608f9 · outbound

This paper cites 2009 , publisher=.

Learning in Deep Networks under Dale's Constraint 2009 , publisher=

Reference 26

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Observation 69dbc75a-a114-4c22-82f0-a4f140f1197a · outbound

This paper cites PLoS computational biology , volume=.

Learning in Deep Networks under Dale's Constraint PLoS computational biology , volume=

Reference 27

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Observation 82a6a894-1ad4-4c58-b697-b5ec4045405a · outbound

This paper cites Journal of Neuroscience , volume=.

Learning in Deep Networks under Dale's Constraint Journal of Neuroscience , volume=

Reference 28

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Observation e76e78d8-c383-4d6a-a676-d88898dff612 · outbound

This paper cites Annual review of vision science , volume=.

Learning in Deep Networks under Dale's Constraint Annual review of vision science , volume=

Reference 29

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Observation 6383d178-90a6-4f24-9540-ef08145d18e8 · outbound

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Learning in Deep Networks under Dale's Constraint 2005 , publisher=

Reference 30

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Observation 8a11aa19-9949-45e8-bd5c-c7f5f7360895 · outbound

This paper cites Science , volume=.

Learning in Deep Networks under Dale's Constraint Science , volume=

Reference 31

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Observation 33137e59-1d7b-42a9-8e6e-a64cf89ff723 · outbound

This paper cites Nature , volume=.

Learning in Deep Networks under Dale's Constraint Nature , volume=

Reference 32

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Observation 2a47de2f-81a7-45cb-b56d-6320120c7803 · outbound

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Learning in Deep Networks under Dale's Constraint Image interpretation by iterative bottom-up top-down processing

Reference 33

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Observation 295817c0-6d0f-4300-a10b-65a4733bfa10 · outbound

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

Learning in Deep Networks under Dale's Constraint Proceedings of the National Academy of Sciences , volume=

Reference 34

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Observation 5ac65866-05a8-40e8-ac2f-1d7682be4e7e · outbound

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

Learning in Deep Networks under Dale's Constraint Proceedings of the National Academy of Sciences , volume=

Reference 35

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Observation b48667c8-64cf-48b9-a255-9e79c87a9017 · outbound

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Learning in Deep Networks under Dale's Constraint Journal of Comparative Neurology , volume=

Reference 36

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Observation 6dffea61-d5b9-430a-9a8f-d45d9a419edc · outbound

This paper cites nature , volume=.

Learning in Deep Networks under Dale's Constraint nature , volume=

Reference 37

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Observation 7505169f-4ce0-4eda-b0cd-e3eb9e858bee · outbound

This paper cites Neural networks , volume=.

Learning in Deep Networks under Dale's Constraint Neural networks , volume=

Reference 38

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Observation 0ccdce2a-3cd5-4b93-b905-90db3aa93a40 · outbound

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Learning in Deep Networks under Dale's Constraint , author=

Reference 39

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Observation 459d545c-ff7b-4666-aebd-90651f53b285 · outbound

This paper cites Cognitive science , volume=.

Learning in Deep Networks under Dale's Constraint Cognitive science , volume=

Reference 40

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Observation a057e7fc-a6e2-4e06-8893-8259f1517882 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Learning in Deep Networks under Dale's Constraint Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

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Observation 03cd11bf-320c-48e5-97ea-9a8b976063e1 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Learning in Deep Networks under Dale's Constraint An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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Observation f844fb07-3582-4819-97e9-45256d5742e7 · outbound

This paper cites International conference on machine learning , pages=.

Learning in Deep Networks under Dale's Constraint International conference on machine learning , pages=

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Observation 0554194c-eca0-4746-bd95-27c38ceec245 · outbound

This paper cites Visual Instruction Tuning.

Learning in Deep Networks under Dale's Constraint Visual Instruction Tuning

Reference 44

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source=arxiv_source observed=2026-08-10T17:39:42.376017Z digest=sha256:10d604c28cc5ac97964ee886ce2d764456125644f43d885090104183a8577447

Observation 6a76c6a6-5aad-404b-815f-b9e11747b0af · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Learning in Deep Networks under Dale's Constraint BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

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Observation 67ea0a1c-7042-4e78-b834-d65abdf1319c · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Learning in Deep Networks under Dale's Constraint Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

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source=arxiv_source observed=2026-08-10T17:39:42.386008Z digest=sha256:f5a2758c4739650455f04d0b2c5c96f4b5e85602db8f67e5c3a7f348275903ba

Observation 6c22f09e-8eff-48b5-ac04-dae50977c9b9 · outbound

This paper cites Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=.

Learning in Deep Networks under Dale's Constraint Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=

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Observation 7e785be0-beaf-41e1-9adf-8bc34ad862b5 · outbound

This paper cites International conference on machine learning , pages=.

Learning in Deep Networks under Dale's Constraint International conference on machine learning , pages=

Reference 48

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source=arxiv_source observed=2026-08-10T17:39:42.396931Z digest=sha256:2627c7ec15a20410b83c2c8137a2b693f715de90dd94953541b4afc3b8191987

Observation f2119139-241a-4653-8087-5dd4084b96de · outbound

This paper cites IEEE transactions on Information Theory , volume=.

Learning in Deep Networks under Dale's Constraint IEEE transactions on Information Theory , volume=

Reference 49

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source=arxiv_source observed=2026-08-10T17:39:42.401503Z digest=sha256:ed64925e6a40417597970683c3512ac35f446b7033567cb04968edbe08c73f7a

Observation a872a66c-6811-4e6e-9aba-77049c4b1ce8 · outbound

This paper cites Neural computation , volume=.

Learning in Deep Networks under Dale's Constraint Neural computation , volume=

Reference 50

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source=arxiv_source observed=2026-08-10T17:39:42.406752Z digest=sha256:603c1213968f62bae503b850dec228d1aa39848a5ba3868ad4ea5317268e16f4

Observation b2e4f3eb-815e-4175-ba52-6204e785fe59 · outbound

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

Learning in Deep Networks under Dale's Constraint Proceedings of the National Academy of Sciences , volume=

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source=arxiv_source observed=2026-08-10T17:39:42.411532Z digest=sha256:148d0062168997fc42af034c5d681ef0084edc9c6ea8e8a31214eb135453cc39

Observation 0b7099ac-1daa-419a-9d06-38fd5dffac55 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

Learning in Deep Networks under Dale's Constraint Proceedings of the national academy of sciences , volume=

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source=arxiv_source observed=2026-08-10T17:39:42.416442Z digest=sha256:400153e8a8e70c9cf421ed81de11353eadf93240ff73259f133864e54f84cf06

Observation 396d817d-d2f9-4764-8ecb-131035f9f5d7 · outbound

This paper cites Science , volume=.

Learning in Deep Networks under Dale's Constraint Science , volume=

Reference 53

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Observation 19df9a2d-8d6a-4e65-9475-89c6bfcaef2d · outbound

This paper cites Nature communications , volume=.

Learning in Deep Networks under Dale's Constraint Nature communications , volume=

Reference 54

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source=arxiv_source observed=2026-08-10T17:39:42.426318Z digest=sha256:4693632561a3fa7eda1ae156927795d7bad5ba1c8e83e429735a11c2a09977c9

Observation bb6a33d6-fb54-4d99-91b4-030ed3b87a9f · outbound

This paper cites Deep Learning without Weight Transport.

Learning in Deep Networks under Dale's Constraint Deep Learning without Weight Transport

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source=arxiv_source observed=2026-08-10T17:39:42.431307Z digest=sha256:abe0002f834d87c3ce841968ed6d1a9d69d3fe1f7cf345713af33005ca6fb0e0

Observation d6591ead-1e8e-4100-95c3-5cad65321ace · outbound

This paper cites Journal of mathematical biology , volume=.

Learning in Deep Networks under Dale's Constraint Journal of mathematical biology , volume=

Reference 56

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Observation 1ffd26b7-9562-469b-aa66-4ed3af5ccfd5 · outbound

This paper cites Feedback alignment in deep convolutional networks.

Learning in Deep Networks under Dale's Constraint Feedback alignment in deep convolutional networks

Reference 57

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Observation 6b28bf87-45b9-45c2-88ab-66abc4c7b6ea · outbound

This paper cites Biologically-plausible learning algorithms can scale to large datasets.

Learning in Deep Networks under Dale's Constraint Biologically-plausible learning algorithms can scale to large datasets

Reference 58

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source=arxiv_source observed=2026-08-10T17:39:42.446510Z digest=sha256:9e6f131fa1a452fd58caeeb492dd5913d7723ca9ab65f9d913798275bc975036

Observation 18dcd67d-74d5-4b8b-ae7d-a90287f984b6 · outbound

This paper cites Self-Assembly of a Biologically Plausible Learning Circuit.

Learning in Deep Networks under Dale's Constraint Self-Assembly of a Biologically Plausible Learning Circuit

Reference 59

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local_arxiv, observed 2026-08-10T17:39:44.789870Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:39:42.451916Z digest=sha256:46d0890e9a6daf7fffd4f683471e7ecce17b10e115ddfb1286b39ce76fc0eba5

Observation 5e6e0de6-2793-432c-8a48-24e5e8525dc2 · outbound

This paper cites Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) , volume=.

Learning in Deep Networks under Dale's Constraint Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) , volume=

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source=arxiv_source observed=2026-08-10T17:39:42.456945Z digest=sha256:178a38edd920a43187701d360e3d175c4b4e0f5052fc63964f06e77bf3b1b476

Observation 44b5b0c5-3049-4d31-99d7-0fb7a2049772 · outbound

This paper cites Attention Is All You Need.

Learning in Deep Networks under Dale's Constraint Attention Is All You Need

Reference 61

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Observation 891b3e14-f56f-4075-a94d-dcc96b23d25a · outbound

This paper cites Auto-Encoding Variational Bayes.

Learning in Deep Networks under Dale's Constraint Auto-Encoding Variational Bayes

Reference 62

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Observation c8997dc6-57aa-4c78-883c-14a299c25e3e · outbound

This paper cites Processes of change in brain and cognitive development: Attention and performance xxi , volume=.

Learning in Deep Networks under Dale's Constraint Processes of change in brain and cognitive development: Attention and performance xxi , volume=

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Observation dcae5c49-40b4-439a-8b96-49eed4e0c789 · outbound

This paper cites Advances in neural information processing systems , volume=.

Learning in Deep Networks under Dale's Constraint Advances in neural information processing systems , volume=

Reference 64

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source=arxiv_source observed=2026-08-10T17:39:42.477127Z digest=sha256:34bdaaf4a8cd8872722f9719f0adab21313a6c1cbce938a78100fa7e27e48bbb

Observation e15df218-3c2e-4f00-8732-5ae31d4a65c5 · outbound

This paper cites Advances in neural information processing systems , volume=.

Learning in Deep Networks under Dale's Constraint Advances in neural information processing systems , volume=

Reference 65

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Observation 81597f16-b308-481a-a78c-fe8f0f679165 · outbound

This paper cites International Conference on Medical image computing and computer-assisted intervention , pages=.

Learning in Deep Networks under Dale's Constraint International Conference on Medical image computing and computer-assisted intervention , pages=

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source=arxiv_source observed=2026-08-10T17:39:42.487094Z digest=sha256:9b8285f4aef8c7468e64a2a2e0a538d198049c3361ed05399e2ae98415d5635a

Observation 15abd7e8-394d-40e4-9eef-91fadedad7a9 · outbound

This paper cites Deep learning in medical image analysis and multimodal learning for clinical decision support , pages=.

Learning in Deep Networks under Dale's Constraint Deep learning in medical image analysis and multimodal learning for clinical decision support , pages=

Reference 67

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source=arxiv_source observed=2026-08-10T17:39:42.491943Z digest=sha256:3989fdb5010ccba365324dc463fefd31186f65d883e7e826d5a1a8361f2826a2

Observation 92409fca-1dc4-494c-9d08-9a74fa6d3c44 · outbound

This paper cites ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

Learning in Deep Networks under Dale's Constraint ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

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Observation a7728f29-a60d-4682-a6b6-1cda031e203e · outbound

This paper cites Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation.

Learning in Deep Networks under Dale's Constraint Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

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source=arxiv_source observed=2026-08-10T17:39:42.501818Z digest=sha256:4ffb67bd6f75e586f222a71e32d681d1924ef44d048f3602593f1f2a0c2684fe

Observation fc130a08-7002-4297-bcc3-d1646a891751 · outbound

This paper cites Neural computation , volume=.

Learning in Deep Networks under Dale's Constraint Neural computation , volume=

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source=arxiv_source observed=2026-08-10T17:39:42.506753Z digest=sha256:6dfde442d93f955007c8db91b9b880d9a1f87302b6b092db4cd39d23fd609053

Observation 2c257740-e489-4f87-b27a-5b9081d39c0c · outbound

This paper cites IEEE transactions on medical imaging , volume=.

Learning in Deep Networks under Dale's Constraint IEEE transactions on medical imaging , volume=

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source=arxiv_source observed=2026-08-10T17:39:42.511909Z digest=sha256:b062f6b9276cd37ee07e0be8c1373dc624343bb468aa486321140f76e155a87f

Observation cde12b90-ea4e-4bfa-8fa6-8945257eecc1 · outbound

This paper cites NVAE: A Deep Hierarchical Variational Autoencoder.

Learning in Deep Networks under Dale's Constraint NVAE: A Deep Hierarchical Variational Autoencoder

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source=arxiv_source observed=2026-08-10T17:39:42.516814Z digest=sha256:5dffaa98e7ebece05046e5ae1bc122237cb5971add35c5c63435891831f9976f

Observation 759f0bba-ee84-465e-883e-11b39cc7872b · outbound

This paper cites AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence.

Learning in Deep Networks under Dale's Constraint AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence

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source=arxiv_source observed=2026-08-10T17:39:42.521737Z digest=sha256:acb0590af4b5eaceccc35769de498053f34548da721df095a73cbfcef94e79f7

Observation 3145468f-48b9-40fc-90cd-f0962e13e043 · outbound

This paper cites Humanities and Social Sciences Communications , volume=.

Learning in Deep Networks under Dale's Constraint Humanities and Social Sciences Communications , volume=

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source=arxiv_source observed=2026-08-10T17:39:42.526921Z digest=sha256:aef75cebd7be3ff9b38a635ae1888cab5149cf7201818e6416db0c95ec1a879c

Observation a557f94f-1281-4a92-aae8-e62a25c1a7ac · outbound

This paper cites "Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?.

Learning in Deep Networks under Dale's Constraint "Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?

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verified exact
local_arxiv, observed 2026-08-10T17:39:44.688175Z

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source=arxiv_source observed=2026-08-10T17:39:42.531668Z digest=sha256:f3239092c7cf07b055287dd9c7e00f49e62257e6b8fb9758d67333933a941e4c

Observation 1b0a5346-0b91-43b1-a9cc-f0f5a1c2d83d · outbound

This paper cites Neuron , volume=.

Learning in Deep Networks under Dale's Constraint Neuron , volume=

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Observation 1d33096f-c5ff-44f0-84ce-1ec3547b2f4a · outbound

This paper cites How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation.

Learning in Deep Networks under Dale's Constraint How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation

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Observation 7cfd7f07-ff8f-4ab6-8266-a66800d33580 · outbound

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

Learning in Deep Networks under Dale's Constraint Advances in Neural Information Processing Systems , volume=

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source=arxiv_source observed=2026-08-10T17:39:42.546792Z digest=sha256:8465c8c9be3b3a855b171597d30af76ea2ea94467a66b81a49830f2542f18aa9

Observation aba72cb0-ca0c-490b-a788-e90ed7b60366 · outbound

This paper cites Nature Reviews Neuroscience , volume=.

Learning in Deep Networks under Dale's Constraint Nature Reviews Neuroscience , volume=

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Observation 4d67b833-585a-47a5-8b48-a7552448ac7b · outbound

This paper cites International Conference on Machine Learning , pages=.

Learning in Deep Networks under Dale's Constraint International Conference on Machine Learning , pages=

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source=arxiv_source observed=2026-08-10T17:39:42.556505Z digest=sha256:e78bf831a512f7f9657f3c41a0c8438405c82d228377b54ec7f42c4966465dce

Observation 9edab21d-701e-4c68-ad92-3d6101838755 · outbound

This paper cites , author=.

Learning in Deep Networks under Dale's Constraint , author=

Reference 81

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source=arxiv_source observed=2026-08-10T17:39:42.561393Z digest=sha256:fcd1d3752fea2c8bd9f9146d441d8e977ad3711cf803c2fdff4ca642876652d2

Observation 9eec350d-e149-413d-be20-0f2c4f31716a · outbound

This paper cites Target Propagation via Regularized Inversion.

Learning in Deep Networks under Dale's Constraint Target Propagation via Regularized Inversion

Reference 82

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local_arxiv, observed 2026-08-10T17:39:44.647264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T17:39:42.566090Z digest=sha256:7aed92fc640f430e5bfb55fba40fa9bebaace6a752c9b30edb67e0ba6bf2436e

Observation d3c002be-e7c8-4842-b90a-53318598a8c0 · outbound

This paper cites The Neuroscientist , volume=.

Learning in Deep Networks under Dale's Constraint The Neuroscientist , volume=

Reference 83

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source=arxiv_source observed=2026-08-10T17:39:42.570994Z digest=sha256:a22dbc82bd80146386af8f7468c454b1388a3af9d800dcd016f8bdd9bd3f833c

Observation 3eb63a3a-d5a0-4761-8051-d4d8d4923b5d · outbound

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

Learning in Deep Networks under Dale's Constraint Advances in Neural Information Processing Systems , volume=

Reference 84

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no resolver link, observed 2026-08-10T17:39:42.576384Z

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source=arxiv_source observed=2026-08-10T17:39:42.576384Z digest=sha256:53705852358e5716f4acf568818234589287d0cf8fc152e5ef1491fb4626232d

Observation caccaf71-0181-4851-aa1b-56848b7b8333 · outbound

This paper cites 2021 IEEE International Conference on Image Processing (ICIP) , pages=.

Learning in Deep Networks under Dale's Constraint 2021 IEEE International Conference on Image Processing (ICIP) , pages=

Reference 85

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no resolver link, observed 2026-08-10T17:39:42.581204Z

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source=arxiv_source observed=2026-08-10T17:39:42.581204Z digest=sha256:e3c5a705153e515ef082eef583448647b92355b6459efcbdaa0e03557b16ce56

Observation 92e98093-c70f-49ce-be47-66c2d1d44ccb · outbound

This paper cites Multi-Task Learning with Deep Neural Networks: A Survey.

Learning in Deep Networks under Dale's Constraint Multi-Task Learning with Deep Neural Networks: A Survey

Reference 86

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source=arxiv_source observed=2026-08-10T17:39:42.585945Z digest=sha256:10f8d4a1ebcd9cf1c3826624102ab9e7e969449e31e4a9224bf816c7a1d9cd9e

Observation c1ff7332-fa0e-4637-b158-1a2ad921a1f4 · outbound

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

Learning in Deep Networks under Dale's Constraint Advances in Neural Information Processing Systems , volume=

Reference 87

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no resolver link, observed 2026-08-10T17:39:42.590792Z

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source=arxiv_source observed=2026-08-10T17:39:42.590792Z digest=sha256:3034fbe53ab33940c4caa85c1f38ee1617430bb77b4f439600ac376906390545

Observation aa9d8989-20ac-4fe2-9f59-82be6feea960 · outbound

This paper cites Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass.

Learning in Deep Networks under Dale's Constraint Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass

Reference 88

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no resolver link, observed 2026-08-10T17:39:42.596019Z

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source=arxiv_source observed=2026-08-10T17:39:42.596019Z digest=sha256:71e4aa868d50336c93c03590ce696bc474648e87ffa562ad1d71da75377a2064

Observation 63d070e6-75de-4075-a1f6-37d1695a86a9 · outbound

This paper cites International Conference on Machine Learning , pages=.

Learning in Deep Networks under Dale's Constraint International Conference on Machine Learning , pages=

Reference 89

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no resolver link, observed 2026-08-10T17:39:42.600974Z

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source=arxiv_source observed=2026-08-10T17:39:42.600974Z digest=sha256:30ec5bf8b195cdbdd2f8e8cee502b4e87b269a989a747123ffbf56ce7f1e0f6b

Observation cdc85b13-375d-4c5d-943b-9514f25a0e04 · outbound

This paper cites Trends in cognitive sciences , volume=.

Learning in Deep Networks under Dale's Constraint Trends in cognitive sciences , volume=

Reference 90

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source=arxiv_source observed=2026-08-10T17:39:42.606053Z digest=sha256:d28ac6b81e5c436bd49e134b72d0527316ccdb76988fe2eb2a6bb27e02cbd080

Observation 7fe4c10f-6627-4bc8-ae7c-96acc420fcc2 · outbound

This paper cites International conference on machine learning , pages=.

Learning in Deep Networks under Dale's Constraint International conference on machine learning , pages=

Reference 91

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no resolver link, observed 2026-08-10T17:39:42.610694Z

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source=arxiv_source observed=2026-08-10T17:39:42.610694Z digest=sha256:636a244257214145e7e943c9d96b6ef6bc434c84d20115bc715c431537dd00f1

Observation d4e331df-f05f-4c72-8ec1-29e8dda3d67a · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

Learning in Deep Networks under Dale's Constraint Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 92

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no resolver link, observed 2026-08-10T17:39:42.615518Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:39:42.615518Z digest=sha256:7803823b38dbd79f3fc23fc6d08408ab74f4047173ccc84d813eac8f7cc2c8bc

Observation dcc7c1d9-05a9-4b8f-a95e-edca40d4b6f5 · outbound

This paper cites Neuron , volume=.

Learning in Deep Networks under Dale's Constraint Neuron , volume=

Reference 93

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no resolver link, observed 2026-08-10T17:39:42.620378Z

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source=arxiv_source observed=2026-08-10T17:39:42.620378Z digest=sha256:defc42639083bc6ae118513c1adbd74a8c6b61a6cab11fcd0917e4f8a5df4929

Observation e5b15e56-97e0-438b-b3d2-c60d797e23fc · outbound

This paper cites A model for full local image interpretation.

Learning in Deep Networks under Dale's Constraint A model for full local image interpretation

Reference 94

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metadata mismatch
local_arxiv, observed 2026-08-10T17:39:44.575062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T17:39:42.625523Z digest=sha256:d49774b70b0511d0b789f33a4f78069eff708efd9badc4c62059ea0f02912460

Observation 205a7cbe-a743-4f07-bd31-f4eb3ab7940e · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Learning in Deep Networks under Dale's Constraint Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 95

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no resolver link, observed 2026-08-10T17:39:42.630281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:42.630281Z digest=sha256:3c8456d49581b7449a692f5e2e72c410f55b829eb6eec5b58d064f718d29697e

Observation 5b311aa9-a47f-433c-9054-0a051c90620d · outbound

This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.

Learning in Deep Networks under Dale's Constraint Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 96

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no resolver link, observed 2026-08-10T17:39:42.635356Z

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source=arxiv_source observed=2026-08-10T17:39:42.635356Z digest=sha256:d8d29e723611c68918cc0355233c918a78f284d74fa6d69f3d03c394dd521e6d

Observation 22f2e46c-56df-4844-88f1-c515be4b6d2d · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Learning in Deep Networks under Dale's Constraint Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 97

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no resolver link, observed 2026-08-10T17:39:42.640047Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:39:42.640047Z digest=sha256:629932cc5f2c672e64b5b8a6227cd3d1c9d3e7a1ef32f7be38c65348cdfadadd

Observation 5417b479-712a-4dfe-ad31-9663b42ba9dd · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Learning in Deep Networks under Dale's Constraint Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 98

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no resolver link, observed 2026-08-10T17:39:42.645667Z

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source=arxiv_source observed=2026-08-10T17:39:42.645667Z digest=sha256:945c5e967dec13c3b882a8314dc1da650cbb3cd768e6f422e35bc09e309b1771

Observation f7629a35-8633-4067-b6bd-a3759e34786f · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Learning in Deep Networks under Dale's Constraint Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 99

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no resolver link, observed 2026-08-10T17:39:42.650189Z

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source=arxiv_source observed=2026-08-10T17:39:42.650189Z digest=sha256:a8329cedb5b40fdaeb013e9a7abfd92ba52e85f380b357f8a1a4a078c5b246bb

Observation 26ac4b7b-184f-46d5-a99b-399700d1ed43 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Learning in Deep Networks under Dale's Constraint Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 100

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no resolver link, observed 2026-08-10T17:39:42.655198Z

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source=arxiv_source observed=2026-08-10T17:39:42.655198Z digest=sha256:f318f689e4ff7f1796c49cac36dd6792163c8771612da42f05a7da2901684cc6

Pith citing papers

No inbound Pith citation observations are available.