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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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local_arxiv, observed 2026-08-10T17:39:45.100057Z

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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=

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

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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

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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

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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

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

Reference 40

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source=arxiv_source observed=2026-08-10T17:39:42.356286Z digest=sha256:8cb7a7d89aee945f247788ce84fe2b56157a1179438e2edd6eb4081b3757191b

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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source=arxiv_source observed=2026-08-10T17:39:42.360863Z digest=sha256:470f13f6e9bb662943f6a54a2cd51a125f5a32ea284f906664651d4c0f895765

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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source=arxiv_source observed=2026-08-10T17:39:42.366421Z digest=sha256:c5c554ee347728b60a3da6ea674b63842b00daa0ffe9d111be19bdd7034fe620

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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source=arxiv_source observed=2026-08-10T17:39:42.371038Z digest=sha256:a9c4e0e45328c9c0f5b543a8d1e8462b2e34c6bc4f194caab61b692f91d5503b

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=sha256:88d4cf91a3273742ab07c7666b6cdbce617bebcb3ce769c4d5be3f0d3b6914aa

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=sha256:03c9a785744436a1c32ee70a03535d2d2caff18d92c465c3275fb4b071ef27c5

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=sha256:7abf08df70ea7f5f316cf9499321ed96025450860829bb430c8247b7d9190a67

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=sha256:57e78ac1013200d9c8441a4d3f87a689c0c5f9091b544866795b7852044df78d

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:df32d6fa6f76df98ed30311d646c9dffa9df789d81bc2a9f33b1d85c91e9800c

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=sha256:2232cecef0475f933775f23dbe97fc3a62d50b91505a0ade4a611324986b8f64

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=sha256:9b3ddcdc314d4cf6ab28f0cd90e6eeb275eef3acdff6b651186f8d6856b03fdc

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=

Reference 51

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source=arxiv_source observed=2026-08-10T17:39:42.411532Z digest=sha256:635c3cce8a129a01bbb9a9dacc7637ffe42f80cd62fde3479ea9d3c79c7b7d3e

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=sha256:5f530969088201d7df6d2b5547e0b2baeebfb644150d799cec2ef8476230aa0c

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:b9c538b0ff91411bd1ade3bdb5f89d44789f9363927620ede3491367467c673d

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:d63e13fd0f0afbd03a80d4039ce806d96ed9f9a86398e8514925ce2464aebce9

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:b96a82a31690315025c323cd1ab01e6e05ab7e1e1eeec684b96721fddeb11645

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:e6c39b1f85335d4783dbe8ee95474e8106960fd5c6b8388777169001fd6dc032

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:d72e0ed67a49979d51b7e5fe0eb59ea769ba14e69544d464f0466c06a1e01331

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=sha256:6db9e729720f58bdbc7829cd27b8643e2e24a8e05912cb7609879b66aab9618f

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=sha256:75d424357c3180d1d68f6cde0da5e0e9c854db000713b639fe70e120de32502b

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=sha256:610789d8e1a9ca9b4e810ebd09d6ae4b51883ee0495339de0e2b6be11bd511d4

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:bb32fcc8ada218df50c8041a6bfb1a522f90fffa22a1c91c3dda905c4e861b31

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=sha256:7c45724ed69a4a534e80e251d998bed17cfc2c70b0bc9c7284eceeedbfbf2d84

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=

Reference 63

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source=arxiv_source observed=2026-08-10T17:39:42.472378Z digest=sha256:7f0c167ef9889392942e5068d722626bb50b574e41b2b4bc3e61687fef9171f5

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:ea11ee275e51710bc96090c52310d5570797329a30a620c5e6a38362802748b0

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=sha256:3f7a2eb9502545494a5cc89513123c26470f7d53aeb712093184aefdb004483c

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=

Reference 66

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source=arxiv_source observed=2026-08-10T17:39:42.487094Z digest=sha256:e8fe690f8d9533b704d5f1cda8be0d3b54079ae276247aa75eae6ea1744af9d6

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:a2d4ed65e1884ab2764f2b5cb9262bc406cdaeecdea0bb847e9882f3b60d5b2a

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=sha256:44b3ee6a8e31eff8f5f17fc2f6e6f30d888bb6b600ae0584258815eb6b27786c

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:faacc32720910f8ff12a7e80ccd0037b68b136c3160c7363238cce74594a1f4f

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=sha256:3dcafcce76d2bc34f7a4f728b9dd06a02090b346840163b57c059d0b8bb8d65d

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=

Reference 71

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source=arxiv_source observed=2026-08-10T17:39:42.511909Z digest=sha256:c1d7b9ba231a9f1e7df5e54ca6dd1f2910d04a1d3282165fe8e0411871fd5122

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

Reference 72

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source=arxiv_source observed=2026-08-10T17:39:42.516814Z digest=sha256:3076651d87808a2c36635c89f073d8ce1adaa32dfac7f263a9fe9aef6b58669e

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

Reference 73

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source=arxiv_source observed=2026-08-10T17:39:42.521737Z digest=sha256:eebc12827bb2d36ef33eda9d7892a6aacbaedd0d9876495f1e5c3387a3e3a3aa

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:b5f9d40bd4d896e4c91685a982356ca8a8deebc66b8dcfeec9c00177449d2206

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

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=2026-08-10T17:39:42.531668Z digest=sha256:46887ebaca223da920cf502f179c081fab2949f802882e6acdf2bbbc58948236

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:cafaf5ed09bee00913e2565f2c2760b57b307a9548f02b09bfffac8840c055c9

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=sha256:6c98acc20480c458c4ab08b3b88606c5d27c4e75a4fb150e490a3f1d7f27388e

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=sha256:909ff05d4f1f67dfeee1ab012a2bd35dbbb1c812d827786f322a810bddd7c4a2

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=

Reference 79

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source=arxiv_source observed=2026-08-10T17:39:42.551862Z digest=sha256:c8a00512ef066d0381c2ca4aaeffcc9be38e2d33318454a42ba2ae4327467cb6

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=

Reference 80

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source=arxiv_source observed=2026-08-10T17:39:42.556505Z digest=sha256:f20f8dd5ab79cddefe4626790f0d482ad38adf66990cb2df2a0b9728e512cfba

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:ef88385cbde16fca0a9ea005fa04829a8059977dea88ef5fbdf4da001001d89b

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:f0964e08e8df230c71be3a0d4dd6a8a43d8dd8788f0cf1d27141be73ea6b9a2c

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=sha256:2a06e6117018fd02c1265970427f6b48fcd59fc8d60f5196e9386d3fe28efb87

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:e361596cd1b03c8500478828d7fbac2de67933bd8a9a1f6acef4723fdefbf548

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=sha256:4bc61087ffdbb834c2cb197e7208100672dbfb09c894217d5c95dda300cc3a97

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=sha256:9311956c0daacd67923d8c9413b7153d6d796508c51320699c5d7a01e7c7bb32

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=sha256:9439cb09f9f7c60de654c2f447dc2b91858c1d6006e9b1b1cc6d94f14887c0a0

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:f569c67fb2d7f560606ac4e22b9abeaafad49dae77d20b5d18897bc7452bef00

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:e3a0cec86d61a1bb1fc6a63cc17568d695dacde0e19cee0394bdd70073534c5d

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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no resolver link, observed 2026-08-10T17:39:42.606053Z

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source=arxiv_source observed=2026-08-10T17:39:42.606053Z digest=sha256:aed00498aea39f1bfb0a964f0c46376a56f26a3cd04be1bd1f6bef69f067925b

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=sha256:5eff161cbc7193cfd52ec08ac77eabf81414448c8a75f458355acaf6a523a945

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=sha256:1502c625ff2ff2badd9fe30a9c6f36b61c9998e23cedb4cfbc94649a9df5f883

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:c46c9f7580a0ab0e499b1c4ff6b032597c4cf7438f20ed9f3b57d3088171966e

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=sha256:5bc0059c68dbe1e59292c8ed1c9f68e68851614ca87361e1fdaa7ca8662ee701

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=sha256:8ef11ed5c158f0e0e0446dbafd9b2b96feaf80bacbe8f49eb35c42a3e79d02b3

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=sha256:97fa7ffe796fa719b5f28d1e1dc3a20a893f1de9112ea8bcbf6c1dcdb404b270

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=sha256:605dc71711239cbf8a20501c500b9a5a285c68b0f026c2cfb1b26578b93d8ce6

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:39:42.645667Z digest=sha256:81fd1cd44982b66a705a399f7b9bf7227cfd310c5490cacf86e1b1f2a81f2731

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:39:42.650189Z digest=sha256:909b5e49f6c62b5d6396c5f7eb5fd8d69a4760269aa629be464a270021b752bb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:42.655198Z digest=sha256:3043511db01c6a0ca486719351bb9259672a7942debd7d978b5f0f35bfeb8248

Pith citing papers

No inbound Pith citation observations are available.