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Paper Citation Record · LEDGER

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2502.06189.

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

pith.paper-citation-record.v1
2502.06189 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:30:52.999666Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

52 of 52 outbound references displayed

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  • verified fuzzy42
  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 858d684b-b7e4-4072-bbad-7321ab3d1f2e · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Distilling the Knowledge in a Neural Network

Reference 1

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Observation e93ded1c-f533-4f19-bf0b-46d9969eaba3 · outbound

This paper cites Patch slimming for efficient vision transformers, 2022.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Patch slimming for efficient vision transformers, 2022

Reference 2

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Observation 168c5357-c890-45b1-8c48-517270ab05b9 · outbound

This paper cites Be your own teacher: Improve the performance of convolutional neural networks via self distillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Be your own teacher: Improve the performance of convolutional neural networks via self distillation

Reference 3

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Observation 2f611687-317c-49a9-b52e-9c6cf39bbe6b · outbound

This paper cites Distillation- based training for multi-exit architectures.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Distillation- based training for multi-exit architectures

Reference 4

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c1193d5e-b081-49bd-acf8-6476db3a340c · outbound

This paper cites MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks

Reference 5

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Observation 6f63d80b-d6ff-4e06-99a1-089fa3fbb655 · outbound

This paper cites Knowledge dis- tillation by on-the-fly native ensemble.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Knowledge dis- tillation by on-the-fly native ensemble

Reference 6

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Observation 57b7db6c-e8cf-4a38-b58b-7c71da6b7005 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 7

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Observation 30880b62-1209-4cea-b8d9-284bba40c103 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Masked autoencoders are scalable vision learners

Reference 8

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 95c6f036-90a6-4438-82e1-eb5bce4f5026 · outbound

This paper cites Sim- mim: A simple framework for masked image model- ing.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Sim- mim: A simple framework for masked image model- ing

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 674f57ab-5a98-49fc-9b72-09a73ac6660a · outbound

This paper cites BEiT: BERT pre-training of image transformers.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures BEiT: BERT pre-training of image transformers

Reference 10

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6d477660-6d62-455f-a309-9839a57fc6aa · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Vision mamba: Efficient visual representation learning with bidirectional state space model

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 901126db-4a5b-4bb6-a017-f72ac4ce7a9f · outbound

This paper cites Deep residual learning for image recognition.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Deep residual learning for image recognition

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9cf923a3-a284-46c5-83fc-446cad22bcbe · outbound

This paper cites Un- leashing the potential of mamba: Boosting a lidar 3d sparse detector by using cross-model knowledge dis- tillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Un- leashing the potential of mamba: Boosting a lidar 3d sparse detector by using cross-model knowledge dis- tillation

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6ef83bb0-a3d8-445c-bf2e-4c73de779ecf · outbound

This paper cites DDK: Distilling Domain Knowledge for Efficient Large Language Models.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures DDK: Distilling Domain Knowledge for Efficient Large Language Models

Reference 14

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Observation b1a6d148-40a9-4295-b59a-5f5e09c21bf7 · outbound

This paper cites The mamba in the llama: Distilling and accelerating hybrid models.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures The mamba in the llama: Distilling and accelerating hybrid models

Reference 15

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cddd6bd2-920e-4bf5-9c9b-b81754436370 · outbound

This paper cites Deit iii: Revenge of the vit.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Deit iii: Revenge of the vit

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b7375d60-1485-482f-ab45-c0464b285317 · outbound

This paper cites Repvit: Revisiting mobile cnn from vit perspective.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Repvit: Revisiting mobile cnn from vit perspective

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e3a38c03-e675-48f5-92d4-a2ac01ebb040 · outbound

This paper cites One-for-all: Bridge the gap between heterogeneous architectures in knowledge distillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures One-for-all: Bridge the gap between heterogeneous architectures in knowledge distillation

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f59a0bde-ff36-4074-9e98-dfdaea86e1df · outbound

This paper cites Correlation congruence for knowledge distil- lation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Correlation congruence for knowledge distil- lation

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6615603f-cbfd-4cc5-ba3b-3073214dbfce · outbound

This paper cites A com- prehensive overhaul of feature distillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures A com- prehensive overhaul of feature distillation

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f5c4ba9c-2c29-4dde-b72d-f20fddfeaad0 · outbound

This paper cites Paying more attention to attention: Improving the perfor- mance of convolutional neural networks via attention transfer.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Paying more attention to attention: Improving the perfor- mance of convolutional neural networks via attention transfer

Reference 21

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 58971850-591e-4dc0-9c69-26f34dda9b3b · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures FitNets: Hints for Thin Deep Nets

Reference 22

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Unavailable: canonical work link unavailable.

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Observation e09cd3ec-f6b5-426f-a6e8-fa0cdd58791e · outbound

This paper cites Knowledge transfer via distillation of activation boundaries formed by hidden neurons.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Knowledge transfer via distillation of activation boundaries formed by hidden neurons

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2f8189b6-f46f-4255-bbbc-b4156d38860c · outbound

This paper cites A gift from knowledge distillation: Fast opti- mization, network minimization and transfer learning.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures A gift from knowledge distillation: Fast opti- mization, network minimization and transfer learning

Reference 24

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 34b05605-5297-4a78-ba56-d83c72fa6b69 · outbound

This paper cites Damianou, Neil D.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Damianou, Neil D

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c7e5fe08-2e79-4c0f-9bef-b42d9a112aae · outbound

This paper cites Wang, Yan Feng, and Chun Chen.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Wang, Yan Feng, and Chun Chen

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7208d9fe-1b93-4f60-aacf-87570a019c2d · outbound

This paper cites Distilling knowledge via knowledge review.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Distilling knowledge via knowledge review

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 70692670-daf8-4e12-9f3f-f0cac9186de3 · outbound

This paper cites Class attention transfer based knowledge distillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Class attention transfer based knowledge distillation

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e0ebacc4-8706-4a26-8762-093802ca3449 · outbound

This paper cites Online knowledge distillation for efficient pose estimation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Online knowledge distillation for efficient pose estimation

Reference 29

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e13dc255-f15d-4c71-b011-56b593d2edb8 · outbound

This paper cites an unresolved cited work.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 12cc8eaa-8dba-4acb-981f-2862c684e706 · outbound

This paper cites Relational knowledge distillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Relational knowledge distillation

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c42a3be8-0b94-4590-b6ac-fd1d75b444a0 · outbound

This paper cites Contrastive Representation Distillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Contrastive Representation Distillation

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.898454Z digest=sha256:c21dc990658ea05a2dd3c33f9a421a1b35e7239b9f942500bc7961b8b9fcefd1

Observation 007345ff-0874-4308-bc35-00f19699e543 · outbound

This paper cites Masked generative dis- tillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Masked generative dis- tillation

Reference 33

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raw_fallback, observed 2026-08-08T16:30:53.657081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.903752Z digest=sha256:ae9171fabdd091b78816968949b35e021bfea60c2a27a2e1d69b042da5347151

Observation 318f2b71-94d3-4f2b-aee7-3b88f3f42055 · outbound

This paper cites Focal and global knowledge distillation for detectors.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Focal and global knowledge distillation for detectors

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.908342Z digest=sha256:102429f29696c8dbe11fc6b09f6bfa88071a9ec9d02f305c374099c2884c63b6

Observation 406e98f2-596f-4b81-b95b-c3e300f7380c · outbound

This paper cites Decoupled knowledge distillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Decoupled knowledge distillation

Reference 35

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raw_fallback, observed 2026-08-08T16:30:53.625174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.913004Z digest=sha256:263b097179e15f5677b2867bc62d2e8f311a1c6191a745aee6ccd70dd31cb05e

Observation ace62b4e-db97-4ca1-bcee-6ff602710bcb · outbound

This paper cites Logit standardization in knowl- edge distillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Logit standardization in knowl- edge distillation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.609751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.917968Z digest=sha256:8e0ea9f82f356031907ad10f8d9cbaa46c3acdb4734f106830b99534352bba44

Observation fc075070-8d63-45f6-ad85-373b08fe2fa5 · outbound

This paper cites Knowledge distillation from a stronger teacher.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Knowledge distillation from a stronger teacher

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.593701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.922545Z digest=sha256:969fcf04e3217763edb65df50398738826ab9684124c87f17afd4b3f0c01507d

Observation cce59593-fcdb-4a22-9ea1-04d43fc28ce7 · outbound

This paper cites Cross-image re- lational knowledge distillation for semantic segmenta- tion, 2022.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Cross-image re- lational knowledge distillation for semantic segmenta- tion, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.577505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.927831Z digest=sha256:d62f97a00b5504edb0b316a6a2b0e4e1c595d45d544ac26fc52e4f6b9b832aba

Observation e1c9c802-5449-4edc-b88c-767db098d6ca · outbound

This paper cites Chawla, Neil Shah, and Tong Zhao.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Chawla, Neil Shah, and Tong Zhao

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.561258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.932545Z digest=sha256:b28659d2accd26aae9bdbb8eb279c90a9e0a6118b251ed885b9434801aa83bdb

Observation af9096ac-187f-4349-91d2-76d35b4b60ed · outbound

This paper cites Cross-architecture knowledge distillation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Cross-architecture knowledge distillation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.545977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.938409Z digest=sha256:9a26f96b84cbeb460adfd05af7a785f8af61718c15de3e49097bb489f6e4fd71

Observation 755abab5-e93b-42a1-8611-a5ee231aa015 · outbound

This paper cites Cross-architecture distillation for face recognition.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Cross-architecture distillation for face recognition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.530308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.943257Z digest=sha256:88f5da552f4d36730c45eba25f4e5a364483ce33a08878af61c5bd95c3a6a907

Observation 5bbe7061-76f7-4958-ad22-04e5eda25466 · outbound

This paper cites Learning multiple layers of features from tiny images.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Learning multiple layers of features from tiny images

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T16:30:52.948024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.948024Z digest=sha256:5642d43463290a69dab2f3fed1f8e5261e2ad66a4bde377bc43ca8035300d64b

Observation 189eb728-788a-4361-a4ca-c0689ca5c4e0 · outbound

This paper cites Tiny imagenet visual recogni- tion challenge.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Tiny imagenet visual recogni- tion challenge

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.503429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.953026Z digest=sha256:03100b455e7aa9ae281e3d6c06e11d946c26712192fa7381dcc7e3fc6041f19f

Observation fd6964dd-8223-4b09-8bca-8af6c4d10d38 · outbound

This paper cites Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.486234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.957909Z digest=sha256:f8c6b220d24c635821c89b92ba8aef02d4fac9423b0e7f3a3a6aa7a238d586ae

Observation 5c82070c-defb-4a73-83fe-172db78d6fe9 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Swin transformer: Hierarchical vision transformer using shifted windows

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T16:30:52.962754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.962754Z digest=sha256:715cf5d1e7f7afb748caa4a94c0c03656705dd404147acaef4d6fffe2bf5064b

Observation a1278971-4e76-4682-8771-421cbcc4c245 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Training data-efficient image transformers & distillation through attention

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.458252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.967811Z digest=sha256:8c0675b0464e9c5fac623c37bc30dfefbfc2ef60a0ce3369124d5c26d4fce125

Observation ccda1d2e-8c6b-4adc-b266-37f28df299d1 · outbound

This paper cites Tokens-to-token vit: Training vi- sion transformers from scratch on imagenet.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Tokens-to-token vit: Training vi- sion transformers from scratch on imagenet

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.440465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.972773Z digest=sha256:b5e83ff50c6ba935edc55022ac6fea5c45124a136c88ec6204b9b10112fe33d2

Observation 0a90e0ca-ea8c-46d1-a462-f2899d75bce8 · outbound

This paper cites Resmlp: Feedforward networks for image classification with data-efficient training.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Resmlp: Feedforward networks for image classification with data-efficient training

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.420906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.977493Z digest=sha256:0448cd8b7b1b15c4e13295b2002f9ce231c9fabc98e5b9317710a487846f5d3c

Observation 1500b2b1-0fdb-4625-8c1e-bf32df2430bf · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures An image is worth 16x16 words: Transformers for image recognition at scale

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.402667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.983330Z digest=sha256:21d44952d855488ad8e34a915b71317efc0a6d19ac3d8e406017deb63d199123

Observation 0c152746-f16b-442c-b461-73c998786492 · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Mlp-mixer: An all-mlp architecture for vision

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.384991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.988389Z digest=sha256:15b6f531513b9f07034442639ce3aac71aa0af467c7ce06228310baf17022901

Observation 97b87ff5-4cab-4d84-9c2f-fc42a3707810 · outbound

This paper cites A convnet for the 2020s.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures A convnet for the 2020s

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.350489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.993639Z digest=sha256:4474623e50d116876d4b86618618aaf1ca611571f60a29e9ca7cfcb816dad959

Observation 0b23ced6-0ffa-471b-b28a-64e16d4b529f · outbound

This paper cites Decoupled weight decay regularization.

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures Decoupled weight decay regularization

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.311209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:30:52.999666Z digest=sha256:d70efa71fb6270bc1d6a461fc9b719cf0e5e3b2702939c679341e28615a09005

Pith citing papers

No inbound Pith citation observations are available.