Pith. sign in

Paper Citation Record · LEDGER

Multi-Level Decoupled Relational Distillation for Heterogeneous Architectures

As of 23 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 2026-08-22T06:32:14.747728+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

  • verified exact0
  • verified fuzzy42
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
unresolved
no resolver link, observed 2026-08-08T16:30:52.747549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.747549Z digest=sha256:079fed11d6973b3b833f695f406f6775dd838b174d907a94a065b0970f9753ca

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:54.049806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.753020Z digest=sha256:3c2b6e537a1407ef1c981977e313572d955924eaf815df615f1a4496b1d1c4ef

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:54.035198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.757802Z digest=sha256:c524949e717ed307fd69697273c47b51c6a5630517a6453b0175e1c401a810e8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:54.019711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.763184Z digest=sha256:e553bdd95a8cc6b4c7f99381b463c2ba0dff2d15dbbaaf79a3e3ebdbe9fc7ad8

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

Resolution
unresolved
no resolver link, observed 2026-08-08T16:30:52.768282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.768282Z digest=sha256:8bd00b2f98a1ef8beb51518e06c439f4a184b7b36a196b6070533147f3c19cb7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:54.004522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.773460Z digest=sha256:2ea4d787c09332a1bbefe8c5c4f25284a9abdc2eca58eb9845bf4ea4f4990f81

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

Resolution
unresolved
no resolver link, observed 2026-08-08T16:30:52.779132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.779132Z digest=sha256:d9ecd55c1bbae5f97fea9e8f1c3862981a235e6f923cb1b58342671b587704a0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.989813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.784159Z digest=sha256:a8613aed0e536f1372a3b5409249bd75d25196dbad24e3aa36f6ec04661195be

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.974571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.788804Z digest=sha256:6655f15c7ba8b063f51f6ab461f9fa042f7090579dba1401ce50cd090ff9531d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.959645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.793388Z digest=sha256:e9453cf659beedb7975668b1f975460930af13748645e7ef21033407a40b14a6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.943857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.798259Z digest=sha256:076df3853fbe502983caf827fe63b988ea4280ffb2b8a52975e99c96169f2e59

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.928087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.803427Z digest=sha256:066838f34f28e18460a31327eb396eda59f1c6d43284d84af69717601a93618e

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

Resolution
unresolved
no resolver link, observed 2026-08-08T16:30:52.808234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.808234Z digest=sha256:9714c18d0bc605faa39f111d661a35ee7813c998f7abd942897d3c7ad79f453d

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

Resolution
unresolved
no resolver link, observed 2026-08-08T16:30:52.812878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.812878Z digest=sha256:869a9dca61daf811b51d9832f8b49d31f4aec20c9a284efbd971c1de9d7961b0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.912699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.817986Z digest=sha256:de287fb6937e2251d804f34c72d50c30fbbf25814ad2c3e9c4c3282c128b1fd6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.896534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.822469Z digest=sha256:c0bbbe936c1f3fc98accd3996548d4f541f6dde46287d01e6f62bc6e323a7528

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.881437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.827194Z digest=sha256:0d6be545c34ec144b2563066062c493d061749d18312abf9edeed82597c8dc53

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.865401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.832055Z digest=sha256:74d6f7192a322178aa753437ba5c777f412425b0fc1170f1ee13e46dd654aa11

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.849627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.836901Z digest=sha256:5a311e881d978decd74fa65a889ae890234758ca75e7d6944052a3b57cb0c60a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.832253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.842110Z digest=sha256:6d8748b2280e0a543f6b1d1bf9c008a3649eb8395f15ee82c268470b3ec2423e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.817018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.846658Z digest=sha256:4a5a763188cfa6fd4c8d1ff2a7174ac2c61791dcf1f4da034429a6ee737d3962

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

Resolution
unresolved
no resolver link, observed 2026-08-08T16:30:52.851441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.851441Z digest=sha256:c76b96be0136a80abf40e902baffe29be544ee5b274887ed46d1be500428e17a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.800813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.856337Z digest=sha256:7ed64e67348fc4d0284235e830d9f0649efed660de2f9adc6861933de9744041

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.785594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.860782Z digest=sha256:c341d1e2cfaf0aa903cf8e1a0c3a2964b6c7cc3e39ac0d124269122ab8f93caf

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.769004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.865531Z digest=sha256:25e9406d3b556a02c3b124aefcd6f0f34f0376647a16e91c0a37a4d0e2b4e328

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.752587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.870359Z digest=sha256:ac926c7396dfc306611a4a954ee3d1274192192230e6be33162713fe8f8577f1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.736828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.875074Z digest=sha256:46c1b42888429d530733520b9da1cbbf66c1fa7952ef3a866494d876996e8979

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.720314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.880068Z digest=sha256:210cf36c4bcba55ec54394707f4ad835c5fc9374cea5dc62cc725eb1d30b36f9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.703877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.884685Z digest=sha256:4af78cdd7947c6edc5885ab3e60b3733ddba87778cef5344c9ff5dcb41e8f060

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

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:30:53.687785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.889236Z digest=sha256:b5bf27f80674cba87fd2040ca413caddf9c6291065e4d75de22357bea0f59949

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.672557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.893746Z digest=sha256:1dcb03eca58c4a52303dd35da5cdd50e84478b99507faa7a0007c7fc5186af97

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

Resolution
unresolved
no resolver link, observed 2026-08-08T16:30:52.898454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:30:52.898454Z digest=sha256:21a55326a94178ea8308e8c684bba77e0ff4f2d94fd70e63a82eacdfff0803fe

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

Resolution
verified fuzzy
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.903752Z digest=sha256:d3a275244aa8c1b7a4d5f0886084c3a3de5d353233d11b6eb6f6205f1f97c06d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:30:53.641429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.908342Z digest=sha256:027e6e513c7001a3a485e5a3b4f1d74d3824f5126a37c8b3d7f2dc3fc3b1b611

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

Resolution
verified fuzzy
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.913004Z digest=sha256:d76096aaaccd25d786c5ae04a5268af60b6225c870de6167a76fd3c7670a2190

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.917968Z digest=sha256:caae02bea287a4b98075a25e1ae4f3b63fb1cd7d64cbae28d5b30364ae28802e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.922545Z digest=sha256:dd515ded2550317dab2f8179f70ce11d67c3e0e5cf068f6ab57a5ac0afeebe04

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.927831Z digest=sha256:a2b296663d93a0db13d82386c03be8cc652ee4006892b6e808628cf8a6d1055e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.932545Z digest=sha256:710701ee9ae80ee3c176f7d7c3b08efb3d3756a9e77aeca40081081aef83cb26

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.938409Z digest=sha256:b26e80a96da4aa5b4cf91ba9a89eb461f33deb3469de677aadadfe3fb612668e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.943257Z digest=sha256:1b8165d516b2a173d6ecfc6633856b72bf1658f7b9076c3bc3e7d9d1389971a9

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:bc5b58b7e5f71cb4135e92e838260ab8fcb3581cbfa7dc93492a58f639c1d7e1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.953026Z digest=sha256:f089881670545605fa3a232cff80b07257cd44216dc0fd09d32f69e266a963ed

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.957909Z digest=sha256:6c4db999d4a8771af6de6aad7a0074e8c5d69169a639291510fa37d13bb2d151

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=sha256:4ca048b8273cadeff2f75cab4afd1319dd9e7c36c1798e7cd9569e272270264a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.967811Z digest=sha256:f8a5379e1dd4761c8989b8c7428f0e70e9f70265b7dd96d027639cf89acf665c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.972773Z digest=sha256:af440a375c196bc3679b12e11a9a004a933d1548ef87c07d60a834dd055cd497

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.977493Z digest=sha256:ac6267a2e8390e8b7cae2aeff022429ea6f6dc30c16163d2fe4f2d51309f2d96

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.983330Z digest=sha256:6f56df1a894d2b83ffe3c14aa49702cf5340f5da62a5c85906fa4fd13fd710be

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.988389Z digest=sha256:1b90ed7a2fd8d88dcca62d93c43668ac57948ec38b420969d67fec9f379ff2b1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.993639Z digest=sha256:9ac528932d1b4eed6cec556881417e28706ff0e6ba7466e79201878ac0753ab2

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T16:30:52.999666Z digest=sha256:7f31ee57800b243c8c25f5794adb1ebb0e709a28f9b81e3198eb717afe82b157

Pith citing papers

No inbound Pith citation observations are available.