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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 2026-08-10T06:31:04.303077+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

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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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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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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=

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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

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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

This paper cites Image interpretation by iterative bottom-up top-down processing.

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

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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

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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

This paper cites , author=.

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=sha256:28b158b4eba8fd5831c462135d63717bcfc1fc5d3e8d49808b6f33993e553130

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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source=arxiv_source observed=2026-08-10T17:39:42.380799Z digest=sha256:446e77fedafc23c1f83012dcd8bdde02a0d59bc8c7830d5cc8fb94d89454fc37

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

Reference 46

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source=arxiv_source observed=2026-08-10T17:39:42.386008Z digest=sha256:5d8f5ded2582c0a11268af2263eb84aeedecf9b5293a9c867fb93d5455ad7e96

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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source=arxiv_source observed=2026-08-10T17:39:42.390936Z digest=sha256:26d24e3070fdd4d6324923f07f3d930b38ecee5c4510e6eb9fc8b7602d8fdd06

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=sha256:044a25bae5c0de491a8f9a3749d7763aa293d0ac367c2aa83f02a31f41b81fbd

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:ea243eb6465f7d7ed8189eb42f60d8de0d1267fd2a39481f78b1e7556df2c3a3

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=sha256:8bf3ae0e7f59cf5ae7ef5ed868b8b872fcd80c430b99634cb380a2f7618fc891

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=sha256:03f046008535bbe00e19a97d7c124f9e7ed2b88d479e959ae7bb8a429adb4a0e

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=

Reference 52

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source=arxiv_source observed=2026-08-10T17:39:42.416442Z digest=sha256:af9b08166aa960b74a499dce2553ed5514548f73cb80c21bc9b82f4c298f3280

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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source=arxiv_source observed=2026-08-10T17:39:42.421176Z digest=sha256:26b45d88c945300dba3c605cdcc9c10fc995119b7099fa838608f278e4db4306

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=sha256:2d22e3b3e718a314c107de3756fd59a604565923e3f496902df017a231abdd32

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

Reference 55

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local_arxiv, observed 2026-08-10T17:39:44.844033Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:39:42.431307Z digest=sha256:b22c8de7a11f5586297e48bb2afb01793486ea2ed5a4711da89c06875ab4583e

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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source=arxiv_source observed=2026-08-10T17:39:42.436400Z digest=sha256:7e1448073de4b0c9120b5fa1e626021f7753da849d330a1b2d6bb0d8bde91683

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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source=arxiv_source observed=2026-08-10T17:39:42.441159Z digest=sha256:f002ec5f5c26edbc6e30af315239bed0b925a8b2ea23f76cee34cf772943ff3c

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=sha256:234957721a5dd9557927ab8f0cc11d35341e4cdad82a16698e04d0fc44dba438

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

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source=arxiv_source observed=2026-08-10T17:39:42.451916Z digest=sha256:ab37c57638e0c54d7f4dded97ee2896b6985032f18efc180693126870ab95d2a

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=sha256:5472091153034d96ddd931647be5ffe3d5bcbe5d952bf17df158306751358b06

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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source=arxiv_source observed=2026-08-10T17:39:42.462045Z digest=sha256:263e813b04daf8738810efa5edac1cd4ff5bb7a7d6b8b14d439294b54e7dd3e8

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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source=arxiv_source observed=2026-08-10T17:39:42.467128Z digest=sha256:11a05a7f54dc35ce5349697d9afcc0ee379960c2fae520294bb0cae102818d05

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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source=arxiv_source observed=2026-08-10T17:39:42.472378Z digest=sha256:44a0709c4c42fab54aaff604a8928842f6b7dad9cecc3b8da37d9ef6e8b62cbe

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:a2e3d4b526d1ea40ce1a60f9a07ea047f9bc94bb2f357877bd9564d42a108e7f

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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source=arxiv_source observed=2026-08-10T17:39:42.481976Z digest=sha256:88f0923764ba47f84c1dadf06ecabbb07b7413b2c94f9484fbbd1d949fdef7d1

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=sha256:460e869e9146d9e7efdfead6966cfdd7b44d9fbad2a977877ba920bb9afa262c

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:ed57bd1ed5ca9ca15d6aabbe1010c8893426676d77d01bf4d0a683fefbb630d5

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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source=arxiv_source observed=2026-08-10T17:39:42.496882Z digest=sha256:6d9dea7ec2dafc10a3cf88ddeee89638015224771ad1be88a38f837f52fd4b25

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=sha256:3da53390b72d693edc99594d280b5c0b323fdc2b9ebce30ff4f98ba2875db81c

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:b1db04b30a86c9c2a43b29c66389075b3cf5323cda9d376ca27cd79600f8e0f4

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:acd1b77381317acbcfe96a9f28ac1bd0653ef8ba0ea5b2b88a0259cb44a15ee5

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=sha256:90695209017562fdf37cc2e57a2cfa89cd49788f6775ddb14c1df1cfc519efc4

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:ddbdd1f8b8b7f5f26fc2bce26d8a87c3a38d07c7adb6679db3748f99a287e26c

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=

Reference 74

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source=arxiv_source observed=2026-08-10T17:39:42.526921Z digest=sha256:5404d14c024c7407f2fbfa792424be3b792adb3d06236a24dd4cf937ec2500bb

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

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=2026-08-10T17:39:42.531668Z digest=sha256:6af7bdae3cb52eb71275bd9639d94400728b31ed36d2bb7c03762d33a4a856b9

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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source=arxiv_source observed=2026-08-10T17:39:42.536624Z digest=sha256:9090c03a11c98a1b57402245b918f33cd73313b9fb3d838be637d4aae4410894

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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source=arxiv_source observed=2026-08-10T17:39:42.541760Z digest=sha256:da8c53a947e44f77504721ba1c7991f01132a5ae9f38bf56e384a721b01452bb

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:de6e2500df624fe4b215d30401552bf0b0b363bb4e722abbb6abca6c2974385e

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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source=arxiv_source observed=2026-08-10T17:39:42.551862Z digest=sha256:cbe7544a3481c9c0e326db2da5974900f4be3d7c6546c166b0f5598f4519719d

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=sha256:0678d03e60460099fe8f558a9342fa4eb669966262ffa3098cad3c50d78fcc2a

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=sha256:0444341c869fe7a6ea0470d807485918723d04eb7b903dcf59e96b501c8e3cff

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:39:42.566090Z digest=sha256:7c41fed7463dd3e52252d59cab84f78ae1713697ff8115eb3390cd457d9f1cbf

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:f01e7f8d8b38c18ca3c6667e4e8aded2f73079060457e85096abaaeb5af4d7b9

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=sha256:2826b91e06ebb26cfda30f23d4872a87638828dfbf046743ba76594e13f3cc51

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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source=arxiv_source observed=2026-08-10T17:39:42.581204Z digest=sha256:7c7071bd9aafb9b989a18ac5905fe397296cff049d7802a6c9905e85345789eb

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:ff424b17ab8b07c23de28732c7fa66403e352d80ab21dfa510aa3b377ab30d74

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:39:42.590792Z digest=sha256:25ebd4c7ed5c520bdfd4ed51cc1b8a6adae0684f78f25fabe24b347c7f74d6e4

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=sha256:13cc4ab792af5f43cb34e91ef3bad0e8e9dc5ecb3bcec6d4dd9a8c16bb8211da

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=sha256:92b7e00cff0ed6c6f2f765e45b39e014e37589d29314764d5d4bb645cf483227

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:a04194bd04cbda2a8893b1b4f39c476a47a890141b8e0d4a51ed6ea0fa1a7600

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=sha256:75958108a4b546e698b3f2369793196a6d9b6f4724fcd4928ef29191129ca573

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

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source=arxiv_source observed=2026-08-10T17:39:42.615518Z digest=sha256:cf734e577bec2cdf25eacd7950a4af4340b4db150bff57484fc2962bbc152779

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:e17341e45e5c6a91e435353e9cc998a624e0e2eeeb73dabe591d9e759d2d2443

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:39:42.625523Z digest=sha256:6ed1d572de2d139c361f2388390592acf8779bac801299ddadf516569bdb5866

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

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source=arxiv_source observed=2026-08-10T17:39:42.630281Z digest=sha256:e993738fb0a2aac621e17db6516a5929b6f267a76a34b14caf48da0d6674e48f

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:39:42.635356Z digest=sha256:a880c9433c63822a9dac61419a267d6ef6f1c2fbfbd1738d959067b5cf899732

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

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source=arxiv_source observed=2026-08-10T17:39:42.640047Z digest=sha256:9e2f372c2053067ad8dc21a6ccaf8fc4da4ef2e67fa10fdb2c471152a827c9d9

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=sha256:2516fdac7b0b68535d6988493def609542a7b1361cc71380d0c8705a79eda78f

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:e06a22dc4216c8ffac9dd3662229f8ca8f0cdb066f07f208d9da3361e69e3304

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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source=arxiv_source observed=2026-08-10T17:39:42.655198Z digest=sha256:88c49c89c9f48cdbf7558bf38c22ace2b221ea8a116885a81687f35b332bfdef

Pith citing papers

No inbound Pith citation observations are available.