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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=sha256:114f4e77344aca347fb715f01dc0eccfdb5ec6c2464bf200873443f06e40dce3

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:f59ac7e721d931dbcf3a52849f4b65d7a4607902fa20f1946bd1f7e58c1970bf

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=sha256:70e732236f2c7c8bb8fb5a5ddf543035bc3edd6a404e0db743c0d5cf2b96a5d2

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:d9dd22c4d5209548d19a2e4cf91bdf8e53cc01d4ffc1421c79426bcdbdae3d83

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=sha256:081ad19de680689ebedb9092b80c72472ce66f3ece5358460cc9f103a1537295

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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verified fuzzy
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=sha256:46a0285caee288a60e61bbdc3ea563179475e8cda711fad904ece83bf0055a50

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:ac5c7e4403b291441b990641d397f67359c0a260f039c7ddcd2fce8b1c0fa755

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=sha256:400e5f5dc4b3ffd91277f70e0c0945a9616470a9698e37c89fbebeb5f9390524

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=sha256:9829f63e470eae3ea324778042f4daac7639d94aa1b1b1fe4607b7b925596353

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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raw_fallback, observed 2026-08-12T19:02:05.344120Z

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:afe335b53b062f9e435f4d7c1eca0643f9030ac56b938a795ee05796becace78

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=sha256:4981be108caf1769dd63ba64981dd4280bf05f779cdaa0c5666b1f67e4d063cb

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:03.877994Z digest=sha256:38b48a53c7b1777ffc58c5f0532c63ac744de8ef664ad929f4c60ec111a6aa75

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:c5dee4146345a2303d1231fa28a6bbfea9498607ef4389af49657255818d1db1

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=sha256:555e497db57fc121192f732b982e36fc2ab08cc92c627ff21666c13e140dfdb8

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=sha256:1636c44d088cdf37137c7ad13e000ef8ca6219899fe19090b9b7f706992b34aa

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=sha256:59fb3bd3e9a3dfbcef444d2918f9f53fb5ac65c55a5547f8e530f968aa8bb29e

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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raw_fallback, observed 2026-08-12T19:02:05.250596Z

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:d2dce39950613425568748637abacf6a50518686eecbe2394c35b9f761b9dd00

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:a8e375409237e0089e6ab179223f3637884a5a61a4e57cacd4095f2b3d24795b

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=sha256:51c2d641bf1427a49719e78fb1d48395c154429945ea5fecb1e0bdf5d5aff666

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:d644587f1c985141f4e16878449a8d5ff817d862d44b79bdad68d50da50a7dd7

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=sha256:274997869e099eec30fbe0be02dc2dfd3647655d953ba4152a14849c63f36f99

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=sha256:37ae1e9da3dfc4c2a05e3e8192ba4bb587ea8395508b108c4ec5df71f7f39f51

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=sha256:908e857684194af49a2f6e99f8bd019945065570300ab7ba231a2595fb026469

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=sha256:27bf29e2e0e17a51273b917f6271bca3521895f9f6108ae36484051e7ce8c44a

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:d1d032c6dc033f674fe2458488d47ff431372b36ed9af3fb2ef470aedf16b8b6

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=sha256:203c8ce54dcb3cf79d4b4d076a52adb7f4922f14b5a4cb59ae7e13f06d630217

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:f1b2cc6af41f58b4c6412251ffd34b7934ae1dd5e39bfb42ee4cfeeb75b0c05d

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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no resolver link, observed 2026-08-12T19:02:04.013329Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.013329Z digest=sha256:c369558fca9e2bb9b01710b716149c03e13a985dc8c7b9ba9f751f76eee57c84

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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no resolver link, observed 2026-08-12T19:02:04.021205Z

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source=arxiv_source observed=2026-08-12T19:02:04.021205Z digest=sha256:87f3b9a6bc90c94fd41956bbd3273a9154e4510d181104a347b2e965acd0e0d6

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-reported events for the cited work

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source=arxiv_source observed=2026-08-12T19:02:04.036659Z digest=sha256:e1b5ca9090964710ca36620a7971f32859978f33bd6dc33a80cc56d286b7bee0

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:b8adb6da5ae508653e70fc340788864acb96a6a79e5f0c3839828d5b2d8603c2

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.057443Z digest=sha256:3891b83606d0de036f1c945816e548756c70195cb4e8ed7dc28beb19be0567fa

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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no resolver link, observed 2026-08-12T19:02:04.069324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:04.069324Z digest=sha256:292e0d37d3e458e4356849955822e3493522b6d27bc801be50715ef387f139f5

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:a80a3e1b8b298de5cac666f00bf5d83a3dc55daf6ac5b6c1531c178dda5207e0

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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verified fuzzy
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=sha256:469f3c6677b74d3edaa0f4032cc89d22d1d4b4bd3ced12eb1490d3d320e62b1a

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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verified fuzzy
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=sha256:0b453f442055530e143f3ede14dfb4bcc0f7019fc77e5b7709c928bade77fe7b

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

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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:e13a50f5d5ee09f194d774a8e86dbfda7a8c947bdd0491a3ca72c685b23b0f7e

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

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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=sha256:8cac0fcf172ac9941dbd52045662083a449dd11cb06d11ad5ae22f4f9d76f738

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:f85046e6965338f3578bb0cfc5911a93e16a234ca9035903689c9867e89193ef

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

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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:e0a190da6d29f28add1a7848d17747947b22f57e7a6eb80e7103fd56adcafb2c

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=sha256:2f76a88f5471e9e47048f98326d31312fd896d544e164cbd7b8460a055738286

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

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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=sha256:167831b4c8021daaeb70b799d81347c3d5d3e4f355cad0c9bedfa2e2c1147621

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:c65eb4096bbf9e9469d10f7915dec18abebc40a6821f98c78b285bcbfc536125

Pith citing papers

No inbound Pith citation observations are available.