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Paper Citation Record · LEDGER

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2608.10709.

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

pith.paper-citation-record.v1
2608.10709 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:02:04.157451Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05f9c82f-760c-453c-9f2f-cb7bff92e45e · outbound

This paper cites Advances in neural information processing systems , volume=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Advances in neural information processing systems , volume=

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:03.779686Z digest=sha256:ef2a129bca359ca3fb4af9368e281cec98742fafe4bcea10821522732e2d623d

Observation 5cc5eac1-0880-42cb-91e1-d47f04d64288 · outbound

This paper cites International conference on machine learning , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features International conference on machine learning , pages=

Reference 2

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source=arxiv_source observed=2026-08-12T19:02:03.789566Z digest=sha256:c2893f7079584c67117d13990319f9b61b5c73568c55c55f31e765cb64bd2c34

Observation 02da2389-2404-4898-a6ad-c5cf9e263dce · outbound

This paper cites A White Paper on Neural Network Quantization.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features A White Paper on Neural Network Quantization

Reference 3

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source=arxiv_source observed=2026-08-12T19:02:03.795582Z digest=sha256:e23719598ec8c40d3ef62a3527be2db22689480ef56613e82182bd284bee38d3

Observation 9f13cc49-eb46-4e7f-b71e-068ccba370a5 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 4

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source=arxiv_source observed=2026-08-12T19:02:03.802665Z digest=sha256:5aebbe776f754bc28b831fdae7a032a457e7fc4ebbd70acfd4960eea05259807

Observation 3a619c7b-6027-41ce-ac7c-daa578dd60c6 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Distilling the Knowledge in a Neural Network

Reference 5

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source=arxiv_source observed=2026-08-12T19:02:03.809356Z digest=sha256:c036f78425e167cd7e1866d5646e38e411d40eaad199a946933a099767a8079a

Observation 2ef3cbcc-3431-454b-8ac8-c1410a0996bd · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features International Conference on Artificial Intelligence and Statistics , pages=

Reference 6

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raw_fallback, observed 2026-08-12T19:02:05.408373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:03.816336Z digest=sha256:d3a068729b5c30cb6766133906792983fce03114a22fd83d9ad5fabbb1374d11

Observation 7c0306eb-e480-4f5e-b071-6321390ac07e · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 7

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raw_fallback, observed 2026-08-12T19:02:05.374735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:03.827800Z digest=sha256:d8176c688d8024b2fae410c00c28e2513499ccc10231dfe4358e84cb87b3d4be

Observation 487fa85f-e14a-4f93-845b-8d6849485000 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 8

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source=arxiv_source observed=2026-08-12T19:02:03.838117Z digest=sha256:b440e0d95117162090491d89df308496dcfee2fa22f1a9e33d19d6a829399663

Observation eaecadf8-21c8-4bb9-abb6-2d5e7954c4f5 · outbound

This paper cites ProxQuant: Quantized Neural Networks via Proximal Operators.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features ProxQuant: Quantized Neural Networks via Proximal Operators

Reference 9

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source=arxiv_source observed=2026-08-12T19:02:03.848114Z digest=sha256:596b3d2629ccd8747a3ed3cede13cacaf849745bffda6aca1174a2db0c310445

Observation 1199dce6-df90-41f6-a5eb-ce023b12aa0b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Advances in Neural Information Processing Systems , volume=

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:03.860291Z digest=sha256:745f0c15c26b214c223aea7f94d0969a20daf1fd6f77642530fb0403e3456a06

Observation 1a61a792-ebe5-48c0-9a81-32681caae9e2 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 11

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raw_fallback, observed 2026-08-12T19:02:05.315780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:03.868956Z digest=sha256:fac5fd2dba178d716203cc1ab596ba06ddd48eba44ef0f6958077b1d78f821d6

Observation 493b5986-99e2-4f2b-aab4-c1ce33d2d640 · outbound

This paper cites QKD: Quantization-aware Knowledge Distillation.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features QKD: Quantization-aware Knowledge Distillation

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:03.877994Z digest=sha256:a14360d0bffe9332c284002c2ce1e4643c3e03c3f1bdf5de501679f837f4d85c

Observation 6d2fe63e-86d1-4679-b701-648910dd4904 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features FitNets: Hints for Thin Deep Nets

Reference 13

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source=arxiv_source observed=2026-08-12T19:02:03.886995Z digest=sha256:7b7c27f1d22471d3ea95d00a27b4a7c327d00fa44af407f58037a004157be7ff

Observation 20f22dc9-6160-44c5-bb24-951b023124fa · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 14

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source=arxiv_source observed=2026-08-12T19:02:03.895017Z digest=sha256:bc9207b656d919df141d6a3eca42ab37a4cf9b30cc8ddd122f794b8762ba19ac

Observation f0dd0058-68eb-4286-9c2e-32f7977e4bcc · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 15

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source=arxiv_source observed=2026-08-12T19:02:03.901150Z digest=sha256:42891718ca387ecc59ede39dac68b539a7c45a8e2af8787f4b07309b58a67cc2

Observation 36352b8c-c2e7-4016-9cea-fc29cebec145 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 16

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source=arxiv_source observed=2026-08-12T19:02:03.912721Z digest=sha256:636b0280d0a23cda9489bd18f74d0b766f669b3e7fa91a7763d291b212e648ad

Observation 04b91cd1-f9d0-4668-a81e-76c943241e58 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:03.919912Z digest=sha256:ff34713dfd611894eb1026f43f4d2e56f63dc99ff6a97fbf9c53d049bac7b6bb

Observation 7ecdeb7f-7892-40fa-8731-7914f2bfd5cc · outbound

This paper cites Learned Step Size Quantization.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Learned Step Size Quantization

Reference 18

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source=arxiv_source observed=2026-08-12T19:02:03.928368Z digest=sha256:5022b0726db69c1ee1c4cfb002e668a8b423c938d86ea5087054793270a83409

Observation 7b3d5278-ac2c-4901-be4c-049174a6fbc5 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-12T19:02:05.221839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:03.937285Z digest=sha256:3fac58858fdf3518a064b579b7309e584806859874cb92398270ff093bd05bc4

Observation 52703f8b-4737-4b52-8abb-6676a4d4f896 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 20

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source=arxiv_source observed=2026-08-12T19:02:03.943335Z digest=sha256:74574660aac4150f6c7f891201564de15c65fbf12db0d78e07f3751a6f40b8ad

Observation edb3abc0-cfcd-4a32-84af-41b9b5e7bfe1 · outbound

This paper cites Mixed Precision DNNs: All you need is a good parametrization.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Mixed Precision DNNs: All you need is a good parametrization

Reference 21

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source=arxiv_source observed=2026-08-12T19:02:03.952100Z digest=sha256:b491966c8fc8ae888fa45ae1986bd6720fd876a15a67677631928da71bf57823

Observation 14685629-7af2-4cdc-b190-eb23444b5aff · outbound

This paper cites Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks

Reference 22

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source=arxiv_source observed=2026-08-12T19:02:03.959326Z digest=sha256:4a95f0cb42b4bef7d74ef6c4e947e03c74432aa917866c50b3a4eb3187947a25

Observation 44a0cb39-4bb6-4fd2-a695-9b1c8a9f399e · outbound

This paper cites an unresolved cited work.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-12T19:02:03.967095Z digest=sha256:da81e272b7de771e47852b30380918cc24b79a2365e8018fd410da79c3dc6bfc

Observation e915b8d9-a5e0-4aac-af46-3cad119ea857 · outbound

This paper cites 2009 IEEE conference on computer vision and pattern recognition , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features 2009 IEEE conference on computer vision and pattern recognition , pages=

Reference 24

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source=arxiv_source observed=2026-08-12T19:02:03.976296Z digest=sha256:a79686df38a3a5a1c36a66ad898907ebeaf83c1507b2235d7aad9dc4ddb2e207

Observation 8a80469f-8354-4032-8866-d47c0cacc854 · outbound

This paper cites CS 231N , volume=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features CS 231N , volume=

Reference 25

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source=arxiv_source observed=2026-08-12T19:02:03.989187Z digest=sha256:8f96bedbd3d8e0e29836426c1b1510c1cc3d81ce9f6161186bdecca67a36b4bb

Observation 9f955794-cbc3-4952-ade7-2f07b3a7a419 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 26

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source=arxiv_source observed=2026-08-12T19:02:03.997947Z digest=sha256:8539197684d3d5b887d66450ac50df3026540c4b7f5e5f4b542dc78aa88f38a5

Observation 0c37cd6b-bb24-4db9-b9bc-9fa29d7517ba · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

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source=arxiv_source observed=2026-08-12T19:02:04.006401Z digest=sha256:c2a0520eb5ea97e748e70bd7aebb183e76e126baf1e1a1ebf881f9cc9b4ea0e8

Observation e8974964-e5bf-4cea-a0fe-59d6a6a5307d · outbound

This paper cites Advances in neural information processing systems , volume=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Advances in neural information processing systems , volume=

Reference 28

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source=arxiv_source observed=2026-08-12T19:02:04.013329Z digest=sha256:8cd115a80b51f8601012bfad4f008f9662e65f076bf0a6fe1390ed559634ca19

Observation 6124ae9e-9756-4328-81db-cf26c1be8f74 · outbound

This paper cites The annals of mathematical statistics , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features The annals of mathematical statistics , pages=

Reference 29

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source=arxiv_source observed=2026-08-12T19:02:04.021205Z digest=sha256:dfd919f64cdabe261c7d9c422722dcb3c053e8e3b9455c0ccd8dab8b699289cd

Observation f4171cb8-44bf-4b14-a276-825ab8c299f0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Adam: A Method for Stochastic Optimization

Reference 31

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source=arxiv_source observed=2026-08-12T19:02:04.036659Z digest=sha256:20b510d76686b375ae40ad13508e1488510bbe31a3d79c09c5c58624adc8eb6b

Observation 37f0b4ff-6c97-46d7-a7dc-b2da33c66a2e · outbound

This paper cites Decoupled Weight Decay Regularization.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Decoupled Weight Decay Regularization

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.045373Z digest=sha256:758ea19478e05f9c54ae5b373db3c1f17cffe950498d775e8bb6f809a8f0aa59

Observation 8f9d1296-99f1-4e71-b2f0-aa8dd6761785 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.057443Z digest=sha256:183ee6869197fa261dc1a59925771dffd3e7d3d325c0921a628c01ed548747e6

Observation 7a0ee266-767d-4722-ae6c-f62f90c296cb · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.069324Z digest=sha256:cb686c2ebf5664ce6e66c1f456e943624e66da5120f71f02eaee26f4c644c759

Observation 3939cdeb-8f41-4d5b-874d-7e6995e298bc · outbound

This paper cites Expert Systems with Applications , volume=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Expert Systems with Applications , volume=

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-12T19:02:05.057986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:04.079618Z digest=sha256:dbce6247b22ee6e0dbd0967629c6cf0a3e5b6498f89ade298b0ecb21725aef16

Observation 7d38b349-8bde-4501-b409-16332a3cc458 · outbound

This paper cites Proceedings of the 31st ACM International Conference on Multimedia , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the 31st ACM International Conference on Multimedia , pages=

Reference 36

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raw_fallback, observed 2026-08-12T19:02:05.018032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:04.088042Z digest=sha256:ef3e5eedabeb5f8e81902b17d1d8acba2fc29fdf346bd86a0cedb6d15742ff28

Observation bc30f054-fce2-4046-a88e-04dd60147aef · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 37

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raw_fallback, observed 2026-08-12T19:02:04.991117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:04.098389Z digest=sha256:8b91fe3f9af9660a45c8bdf04122fdf49334c2200096443fb916e409d8492529

Observation ab2a1f24-8266-4a97-8434-7adfbc735158 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T19:02:04.107849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.107849Z digest=sha256:435b097d20a32b621bce847ae712fc26e9c63da4dd04db6fd535b96fccaf0cb2

Observation fd099657-2ebb-4d92-92a6-d3dec0f97cf8 · outbound

This paper cites International conference on machine learning , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features International conference on machine learning , pages=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T19:02:04.117283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.117283Z digest=sha256:c331cdc59277418de41be65669503334afae1d7a0a447da203254c399c206137

Observation c8aac5f8-1b59-40b2-860a-c8bda43eb3ac · outbound

This paper cites an unresolved cited work.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T19:02:04.126749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.126749Z digest=sha256:69ff0c16e0bc08886262f3d92bb67eddb31b3c29ece0e85340a38aa10d911fea

Observation 5ad38c3c-070e-47a9-b457-b347b9358aa1 · outbound

This paper cites Proceedings of the 2018 EMNLP workshop BlackboxNLP: Analyzing and interpreting neural networks for NLP , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the 2018 EMNLP workshop BlackboxNLP: Analyzing and interpreting neural networks for NLP , pages=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T19:02:04.133609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.133609Z digest=sha256:7753edf642c82cc7abf3de8dde50e3c121f9b6a811809f5c252b414ca7c4272a

Observation 5725ee66-dbd9-468a-86e5-940746a1c776 · outbound

This paper cites International conference on machine learning , pages=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features International conference on machine learning , pages=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:02:04.906622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:04.142531Z digest=sha256:48f7b3a549f4caf3157a06c3992f993105505bf6ac16a9a9c2aa308dd5023922

Observation 35ce7163-7816-4fa3-9e6f-74cc7b6784ad · outbound

This paper cites Ternary Weight Networks.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Ternary Weight Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T19:02:04.149749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.149749Z digest=sha256:136e855155976bdb4e26e0447a280bfc177d822943cc6449062ba8b4c78fc843

Observation be9eecf2-5ba9-43dc-a34a-12e71745e0d7 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:02:04.878681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T19:02:04.157451Z digest=sha256:eabc50c5a4de4381cb02cc5ac68d564f51acd3c5d893bb96b48f2afc840e8f9c

Pith citing papers

No inbound Pith citation observations are available.