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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

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:e376d7a0714194cf944b4c88590a3b75cf52b2b2668df4ec4babc3ec9c1e6734

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

This paper cites 2005 , publisher=.

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

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

This paper cites Journal of Comparative Neurology , volume=.

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

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=sha256:45ab1269afa72d1c555bdedb9cfe8ae5ce3424f9d0c81fd4c5f7669cd0944017

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=sha256:9b0c9815585da265b394866b255e690e4013a5c2cdd45d48e0f1f6028eb06832

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=sha256:1fda3cdfe14dceac6b34228dca38a8f3a1724caac833139cc02d4aa29fdf341a

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:edf0e035a7d91c435247f252a12b287a9e4b0a85ac5c4544267180062a89a731

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=

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source=arxiv_source observed=2026-08-10T17:39:42.401503Z digest=sha256:4113422da91082278be2e9806c51c4a2f7024d34d436219340b2fbfd9707f46b

Observation a872a66c-6811-4e6e-9aba-77049c4b1ce8 · 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=2026-08-10T17:39:42.406752Z digest=sha256:6f83cdea936e13588aefd75952e385a9fe0e68dc4d6c4e6ce68061d47cce5e46

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=sha256:56e03f81d790e476b3abf46320974889fd13a0ecf9676f4b3f67804665993a72

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=sha256:3efd1ce0ba58ecc75c9187a84d29c98f7dc0bf8d5096c9fb569be8160690a3a4

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=sha256:28e80733a936f30b4f89237c00fa19abe4c683e3daa45ea210733d09fb845a72

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:f048f9aa4658da9972bb8581c86072df852900bca2af50e9d45c6f46c0b15fc4

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

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source=arxiv_source observed=2026-08-10T17:39:42.431307Z digest=sha256:d618065927bde7d3b68c4e80e83dda923add4b3edba0314b4b93f7ca2ec38f11

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=sha256:180b6845fc1062debb7ecba7fa89df19a94d7caad980e00358cad34430c4ec83

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:bd445d5d05151eb0d5d7953d936c34e512212b3c82a279e5c0cbfa008b185b7d

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=sha256:90da79f4e45f67b1385cc7be51b20a891dce5cce3bd199a036e8440c747c186d

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=sha256:37e1e86d83c64de495e4e412d3d9ef6cc755b477fe25d1673d796bc2b1adf15c

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:af55646573e52790c0db275323cd43e0a8db5f1adb5d794fbc50a14657d9a11d

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=sha256:3c1018e8f1e9c89f60c0bb980cdbf0c28d280761563c89ba204f6f58b5d0ce97

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:c960002a46da08dd38cbd3df319d02a4fe98c49f2f01e2f1456ffc958c170d7f

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=sha256:1b79804154b92a51dcb783d01055c367e658bfb05388b0f6d76f2eee96810ada

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=

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source=arxiv_source observed=2026-08-10T17:39:42.477127Z digest=sha256:fb9663671a33e71905642f50dc82be72c7c883fa37f933a8ac204eac67782cee

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=sha256:04aee169ab749fc9df29614991eb8460372c13ad27a200fa95c2c4f804cd2637

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=sha256:2f88b92d963200ea15a360f645bcbce821f99c23d92a2ae8f89aa38caf23c384

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=

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source=arxiv_source observed=2026-08-10T17:39:42.491943Z digest=sha256:61dcb2e6c2f0d382c8f406927dc884763d39f88688e6aaf870de38e7bf5cce09

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=sha256:03df10756ce276509566fc234de280ed56990a2da60f01d4d15cbd7b23ccc7b8

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:ec16b7d5f3f4fc197f9d090d920443b88544eac35a3f72a97a85ad432512ce7e

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

This paper cites Neural computation , volume=.

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

Reference 70

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source=arxiv_source observed=2026-08-10T17:39:42.506753Z digest=sha256:c6815864499ccd987f2b053ddc8f4795c63ebc423961897a3341aedd6414ccfa

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:f3e0659ee0d334a7b2161372638cfcee389fd10b58127772f62003d4cd2a197b

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=sha256:9713b81b3e848579ca8d94d9eac9e852e52633a98dd79c63b7b918f4f4523dd6

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=sha256:20d52bf9ff91f2d038df89e5871705c2106362ab96fbc0509e0c924f52e44a21

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=sha256:1eb015b8cf65fea63f828e4be1d7c28a150c2a5d18fcb57817c9ab5f342b8079

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

source=arxiv_source observed=2026-08-10T17:39:42.531668Z digest=sha256:91dc7784b8a48b0f1c938dada8a191c957a42848fd322838730992a415f2de76

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:b885a2b45c9e8bfbd11e8476d2c65c9a22ef648879660f55699d1d11e02d2f60

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=sha256:1ab2b033d3e58fe749945d90ba0b41abe3176dc4b71b18ebae20b592d3e043e5

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=sha256:1d04ce91f9e09f1bfb032114b91ada050c3fb8465e7a8f0cce9cb7af773b1536

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=sha256:4fcb997db6323fd2bf0869c668c31745b7982664f83ecc4c17038bb06b46b338

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=sha256:97779c3f4086b8201797a460f8b214348e86c7eb87c36157547d3067bc7221d4

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:c3d0cbe85e62ae5dce69cb8b9888e0f0e5219bf2f2c3c30e5fb8c12dae8c365f

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=sha256:271424490622af673e91a023808ea1ee604f4786b7a22b58774f7f2947c9c0ba

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=sha256:1e6bccc1b234c865109c454688a55a37f529d33f83373f52374a88260d38bb15

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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source=arxiv_source observed=2026-08-10T17:39:42.576384Z digest=sha256:0bacd006aac30f1ef6d7f46070de4052d39e5a653cce21d69e425034445705d4

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=sha256:6fb48bc7979924adb59693dd33bc5a9947b8eb61e9227f0719eee62650bf835e

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=sha256:8f3370409664e088957767bbdfc1c890f6d57c1c907fd38943d114f3fd6b864d

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=sha256:70dc5f7d1983ace141dab368b57cc47412f1791db252404f44afb19f748bc8a4

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=sha256:0e181c81ef088cac998cf4b8e1a178987fcc68b79397aefad806c3859dc1892d

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=sha256:43be4e81125391e5a11657ea97236c33c259382881110d0398a6660b1370bd0c

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=sha256:4557d80b3ec5cbfd9e5ba675ab9e0186f41965990370e19160954467e1af97d0

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=sha256:44f50bbf971855069ed433daf64f1b8873df09f8955760bdb3ae7705d0ec9e00

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=sha256:74719c734f3b6cc8d4f8b8d6bf35305ce2220f5fee65f91d2e45bb5ae7b61f01

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=sha256:60d1327f009b08425158e79f3d04e01f361b79c1c96105757a0ab0fac7a13c52

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:fec9b3dd18a862a82d5ef61303eb7efae3f59af71a62ade2562dc5cd958fbf47

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:c70716d0a8203925509242a64996d2192b80d4fc58cfb9940fc6da2556adc4f6

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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source=arxiv_source observed=2026-08-10T17:39:42.635356Z digest=sha256:8777959eab2539cf744aa1d933f5d754e818fd8f6111a8ba45d171289735128e

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=sha256:46a61c8231694e581e07a7716535616ed25b0fcb01116a9b76a0da375a48072f

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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source=arxiv_source observed=2026-08-10T17:39:42.645667Z digest=sha256:952eda03920a8a625b9e9af1a431ce350a410295d3e0949f7124b203dfc580c7

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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source=arxiv_source observed=2026-08-10T17:39:42.650189Z digest=sha256:67b843de0a04499e58b67c14c7f1bf4cc8fdd6d67b78f8a9410b05d70b557b6d

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:ba4360607a07f3de77c2320c16f8e6437c9712b5605e95b62276048d71d4c89f

Pith citing papers

No inbound Pith citation observations are available.