Pith. sign in

Paper Citation Record · LEDGER

Data-to-Model Distillation: Data-Efficient Learning Framework

As of 13 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 0 inbound Pith citation observations for arXiv:2411.12841.

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

pith.paper-citation-record.v1
2411.12841 v1

Coverage vector

measured 98 of 98 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:14:28.395308Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

98 of 98 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved60
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f6d6402-5f4b-409d-a4e0-10bf89f3482b · outbound

This paper cites High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks.

Data-to-Model Distillation: Data-Efficient Learning Framework High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T17:14:28.567477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.146397Z digest=sha256:f79ff0bde9b430634d87bdef871b89e652d67d99fdf850e180bcdcb6b8480de7

Observation 1e26f2e0-602c-4788-9cef-9fc3d1b5363a · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.149495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.149495Z digest=sha256:678cfa00223e25e6ca050e1a111e5159202b9a74d40821c30874f31a78db00e1

Observation cb62e18b-c0ed-4b8a-ba2e-19d77955657c · outbound

This paper cites In: International Conference on Learning Representations (2018).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2018)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.152470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.152470Z digest=sha256:83a2502206deac04ba7a676af48ed55040c9763071b3effcdf9e05d32a65288f

Observation 0a2264d4-829b-4fbf-a95e-93f165e12dd2 · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems33, 1877–1901 (2020)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.155304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.155304Z digest=sha256:222d99763d9ddda560626903420e01dd0fdb7f0a35132b0fefec161248349635

Observation 45edd88a-e747-4608-9446-c44abe5f2840 · outbound

This paper cites In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.158863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.158863Z digest=sha256:f43e5f5b8d0bbfb1e773d216d39f8e18b2d0e87a3faabe7a89e0be426779cdcc

Observation ec8928fb-ebeb-4eab-a11c-5194b436572e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.161701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.161701Z digest=sha256:1bd917ace820d4a5be52523fd67f3386a30a42afceb65f7b32bf781eb70e9624

Observation d6b3d010-0e17-4313-917b-d2bbb21da744 · outbound

This paper cites Advances in Neural Information Processing Systems35, 14678–14690 (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems35, 14678–14690 (2022)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.165431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.165431Z digest=sha256:95c746034a892abea4fe620f0eb448245b887c490cb1b574d4a393a0bea09533

Observation 7f1d9450-26b6-4ea3-9f05-4953c8c9e7d2 · outbound

This paper cites In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.168130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.168130Z digest=sha256:3e3a85cb72745c8e1c6218c3aae6e1ee0db924487c9fc401a2f3bd8a4d77d3ee

Observation a69bcd0f-09b9-4408-9ac3-eabdec005dd1 · outbound

This paper cites Advances in neural information processing systems29 (2016).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems29 (2016)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.171310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.171310Z digest=sha256:3ecc29bc0a950db9a65f86cbe53ed3d6630d99e79660a90289b08af8f92293bd

Observation 5c8afe6c-2d4e-4367-8778-491f3d53c20a · outbound

This paper cites Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality.

Data-to-Model Distillation: Data-Efficient Learning Framework Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.174104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.174104Z digest=sha256:5513453df7f8b760f0103059d12863443d63654889c99e53f14cebeea3389029

Observation 43275a3f-5cb2-49af-a898-e201bac6bedd · outbound

This paper cites In: International Conference on Learning Representations (2021).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2021)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.177262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.177262Z digest=sha256:03862cfe268d7f725ba462a400550686f46e5d68199198c2a65fcdd026e3524a

Observation 59610e3b-897c-4467-b0d3-5f82ba4ceab0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.179433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.179433Z digest=sha256:ad43f99588cd421d1b4aea332f614e789a68e6a72a0d8f28fbe012b8fe289ae7

Observation 2d3478c8-dfc0-4aca-9617-ee537b12313d · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.181648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.181648Z digest=sha256:e54e8f744ad3464f96b24bca040eab1383b210534692b0e4f0e65d99525f6d68

Observation 7c6e4a3c-12fe-481c-9ef3-46375fde68c3 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: 2009 IEEE conference on computer vision and pattern recognition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.184088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.184088Z digest=sha256:0222f0d3edbcd665fdf3522a63249b75a4dbe494c638b4aa37fee048586bc757

Observation 987b500d-40a1-47f7-aa4c-32c044975f61 · outbound

This paper cites an unresolved cited work.

Data-to-Model Distillation: Data-Efficient Learning Framework Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.186397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.186397Z digest=sha256:ce3e43e60a1e903f218c77c7fc41196bc7de8830fb0c28e270f2b748f1016c07

Observation d6f16dba-ad85-480e-ba1d-b0897ebf027d · outbound

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

Data-to-Model Distillation: Data-Efficient Learning Framework An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.188647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.188647Z digest=sha256:123dd6b24025fce159d89f1640d5cac5010d3afacb56c7f32db1c7d61cb1d21a

Observation 4a949900-5019-4429-92ba-6549b5866fb4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.191573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.191573Z digest=sha256:3794e7ad10c25e121ad80f7c855672e6b3d7fad0b5921576df9b8e848d1e31eb

Observation 2b46ff68-1a19-4521-a9c7-0d24b92896aa · outbound

This paper cites Advances in Neural Information Processing Systems36 (2024).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems36 (2024)

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.194036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.194036Z digest=sha256:21a6adaec6081339e3f70669a70521f7f9008620764599732a2d7f5ddd27f5f8

Observation ee861768-53f9-4059-b9b4-05c0011a6fd7 · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.197144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.197144Z digest=sha256:988b018a1dbd5cd2655490dfc362e3bdef2b183ad257ec16f3f0a132c6302e45

Observation 09fcaad3-9c18-47f6-985f-b836ed4b6b24 · outbound

This paper cites In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.200536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.200536Z digest=sha256:d64eb509db254bd0f2d9d4f8a3844f9e7f2810c07ed70d09b9a5f03a84cec079

Observation 3663bdc3-b4f4-4c08-bf9e-1caa2e005444 · outbound

This paper cites Advances in neural infor- mation processing systems27 (2014).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural infor- mation processing systems27 (2014)

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.203858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.203858Z digest=sha256:c24c4462fd1b1fa7d420cf32befbe226f84eefbca1e71c7d5a5d348de08daf50

Observation 38e02337-7618-45b5-82ac-b0c959055f29 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) (2024).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) (2024)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.973518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.206730Z digest=sha256:def6fb0d5bb1e52285b8530f5fe7d3aca577fc0256cd9f4697b832d552efe230

Observation 4824154d-d578-4d13-a926-75f6e72a7a3a · outbound

This paper cites In: The Twelfth In- ternational Conference on Learning Representations (2024),https://openreview.

Data-to-Model Distillation: Data-Efficient Learning Framework In: The Twelfth In- ternational Conference on Learning Representations (2024),https://openreview

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.966290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.209387Z digest=sha256:ba08022fb2e9d5ca65c84e18bfe0095f3bfe47b4c2f1c90e37261bb799f5529a

Observation 0ec549d6-9b29-4b9b-b159-a346d45fda76 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.958357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.212027Z digest=sha256:f109ba5dc13e4c5b99dd30593284fd00e4722f014f38e4e28aaa301fdbac6b26

Observation c48139c2-3c25-46ec-9dca-6afff7de4942 · outbound

This paper cites In: Proceedings of the IEEE interna- tional conference on computer vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE interna- tional conference on computer vision

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.214731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.214731Z digest=sha256:d94b4e0d373bde624c503d97c2fe85bb2d8cf8c9dfca73dea5a74aa301e162f1

Observation cd2667be-9776-46bc-84be-2fb05a79855f · outbound

This paper cites an unresolved cited work.

Data-to-Model Distillation: Data-Efficient Learning Framework Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.217302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.217302Z digest=sha256:868e37094b5ce6fd10157e9208103243b6077324151e9e1a3de019f0112cebb1

Observation 2381814d-4721-4463-9813-ca21ca68eebc · outbound

This paper cites In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.944157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.220130Z digest=sha256:44e8a4bd448780cb92575aa6e139e2f70163686990f183355c736403b805f247

Observation a5a2675a-793f-4eb0-b863-ada19bbc6aa9 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Data-to-Model Distillation: Data-Efficient Learning Framework Distilling the Knowledge in a Neural Network

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.222257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.222257Z digest=sha256:8e0dfb624c14a566c1b7f3066263fe229dc1d6c16fa31c748e80867f9c39fc5f

Observation 40c1de7a-44b6-4fef-8194-288398067b62 · outbound

This paper cites Advances in neural information processing systems29 (2016).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems29 (2016)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.937330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.224390Z digest=sha256:6548e3a53f214965136bebc42d289f20c1279219d6acf3cb2a612d8b1d043e71

Observation 2d194d2f-6b8f-4fd5-bd4a-120cd1e0a3a5 · outbound

This paper cites an unresolved cited work.

Data-to-Model Distillation: Data-Efficient Learning Framework Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:14:28.930721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.226584Z digest=sha256:b8197a78ba5d5db1da9231b87f1c2ddff5ba74f96cd36bcb7be3d28edf54b1b0

Observation e35dfc9e-7580-482e-9401-df326a9dcb7c · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.229325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.229325Z digest=sha256:a3e98309cfc39386ee97e36c23b685a7a0eed60ceba173b02633ef2ef433f563

Observation c0d379cf-54a3-4ed0-a6d9-a939f24f406c · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.232006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.232006Z digest=sha256:5d32360cd0e2211f008b6ccccc62fc96bc3dfeac9272a5fcbdd91304da284445

Observation 2573d8b9-d446-4d46-b475-0c4bee490ff5 · outbound

This paper cites In: Proceedings of NAACL-HLT.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of NAACL-HLT

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.914439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.234386Z digest=sha256:c491949ecf1b4a30cfcdc829b5e16ebbe7424e8793b1e51ed2b57ce1407c081b

Observation fcd7e6d5-79f1-4cad-9360-3da45ad303cd · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.905917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.237627Z digest=sha256:36da9f01616cfa3a8da9b8ceef9605d37ff631088f6f102c4e6e61b297aed841

Observation 8a0d1080-e788-4336-9d90-5980b92afdc1 · outbound

This paper cites The Need for Speed: Pruning Transformers with One Recipe.

Data-to-Model Distillation: Data-Efficient Learning Framework The Need for Speed: Pruning Transformers with One Recipe

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.240809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.240809Z digest=sha256:746e18ef381fccd6e77d9dc17c0df6512df718ff63221aa192906974395d7cd0

Observation 5f378e95-6249-47f9-b42d-7a0774435f63 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.897346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.244023Z digest=sha256:0bd1d7f5801cff19707a6513cde770308ebadb41ee80456d22fe8475ae6ecb8e

Observation abf0b4e6-b099-4e57-90cd-7c3db36528ad · outbound

This paper cites In: Interna- tional Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Interna- tional Conference on Machine Learning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.890580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.246609Z digest=sha256:c376979290479117b72b3ee2c258eef5f873435df3b69b226434724d553503aa

Observation 14db2b2d-f27a-4c4c-a1e3-7fd35264b794 · outbound

This paper cites an unresolved cited work.

Data-to-Model Distillation: Data-Efficient Learning Framework Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.249316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.249316Z digest=sha256:250f8aa584bd3665117a670f65adebff10bad99a493298ea515e695600361a58

Observation e44c6991-44fe-4277-a687-76f8291ff5f2 · outbound

This paper cites Communications of the ACM60(6), 84–90 (2017).

Data-to-Model Distillation: Data-Efficient Learning Framework Communications of the ACM60(6), 84–90 (2017)

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.251717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.251717Z digest=sha256:60a17e478443f1b7aa5d99570bff7372ae5a3682a82ca7994a263672dce86d4e

Observation 0c123125-dc73-47de-ad4f-bbe47d2c1a60 · outbound

This paper cites CS 231N7(7), 3 (2015).

Data-to-Model Distillation: Data-Efficient Learning Framework CS 231N7(7), 3 (2015)

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.254026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.254026Z digest=sha256:ac1d5881aaa37ed84a3d153635f6d3cf291cd27c77eb88e8f01d54d164ad0685

Observation 1557cf16-aadc-4d4e-9558-93b0b33c228b · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.256367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.256367Z digest=sha256:40b915aa08f041e231ed4ae9b01c7e21b96ed71be90c4051a4c6c6431b389936

Observation da8686de-b72f-4c39-b7cd-49514622af2d · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.258924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.258924Z digest=sha256:b744d53932df9443a2e8e157bcfb802a714af9360a8056232e3ad0ecf9fee671

Observation cfd182ef-dab6-4855-8984-0af448c71835 · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.857553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.260817Z digest=sha256:d528288108c193e13d0ba4ad789f8ad9dd9cfa1d3a6a22766d9947756b0d8a03

Observation ef7cefcb-22fb-4611-9cc4-2b473cc6b6fe · outbound

This paper cites In: European Conference on Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: European Conference on Computer Vision

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.848875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.263004Z digest=sha256:b1f28844ec9d035a819ba6a06bc626a9b765d2205a42a11b58002ff83738c115

Observation af4a4f7d-ea57-4e42-a22f-d4a4588ea6fc · outbound

This paper cites In: International Conference on Learning Representations (2017).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2017)

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.265004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.265004Z digest=sha256:43c4b0ca4e714adaaa524f678893db9d20ea9e1e0460407c009cabf310ad71dd

Observation fb56ad21-5c83-459b-b19b-a54bdbf65185 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.836807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.267226Z digest=sha256:3fe333c4bb284def5a3b44f7a133c513636adb58512b4101bad1247288486542

Observation 582afcb3-4dd9-45ea-a90d-1b7c38c7b0ac · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.830061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.269130Z digest=sha256:6393c6887f37594c74756f5f5a159d171a9b6893b3da45d4b041c990a16ecc4d

Observation 8dbfb5cf-c9a9-4e4f-a0f4-cf542086323e · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework In: The Eleventh International Conference on Learning Representations (2022)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.823216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.271749Z digest=sha256:35abd34791cb6f7c0540fde28ff265365b1316a534755501da460ef2ccdbb6a2

Observation 7f57c581-aac0-439d-9bde-2b321589c89f · outbound

This paper cites Advances in Neural Information Processing Systems35, 1100–1113 (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems35, 1100–1113 (2022)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.815325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.274112Z digest=sha256:1ff212872d21facead041f97ec118d37039497612ae7efb30b796d53555f4e9d

Observation c837e02f-c3ed-4494-87ad-6e36331cfd10 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.807343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.277528Z digest=sha256:abd9d5f941b5b3b0d135de3f70e13b1535acb9c9a3af2e7f67c8a15924d07063

Observation c4ca14ce-ce22-40e4-ac29-b155c095b331 · outbound

This paper cites DREAM: Efficient Dataset Distillation by Representative Matching.

Data-to-Model Distillation: Data-Efficient Learning Framework DREAM: Efficient Dataset Distillation by Representative Matching

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.280665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.280665Z digest=sha256:c3ee2b34938d6bf592d453bd3842f9fe16504acd558185689d91df40e31bb0aa

Observation 0a5b1ba0-d95c-4cf5-b1d0-0fa860f02c13 · outbound

This paper cites Advances in Neural Information Processing Systems35, 13877–13891 (2022) 18 Ahmad Sajedi *, Samir Khaki* et al.

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems35, 13877–13891 (2022) 18 Ahmad Sajedi *, Samir Khaki* et al

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.799022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.283616Z digest=sha256:0fa646b24802a49aa58ce2e09b87a0279caf55414abb27312d0ade1ebe7875fb

Observation f881e7ab-fdad-4fc6-8e3e-a352ff6a3044 · outbound

This paper cites an unresolved cited work.

Data-to-Model Distillation: Data-Efficient Learning Framework Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:14:28.793055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.286142Z digest=sha256:f5772c03554c27e29d7ca4323c2c7c0dff24834a52d3b204092fe1baacb5354e

Observation d0bc4803-d076-4b13-b3ad-8274259630b8 · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE international conference on computer vision

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.786301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.289026Z digest=sha256:95c7634476041172fe1fa1d55634804a1c17a9064d14759e88d38058e9b7ced0

Observation 93aa0b8c-3819-4513-aa5b-7f250d622351 · outbound

This paper cites Journal of machine learning research 9(11) (2008).

Data-to-Model Distillation: Data-Efficient Learning Framework Journal of machine learning research 9(11) (2008)

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.291325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.291325Z digest=sha256:92cfcb0b1d8f8877bc2c465439983695c842ac9a33ac7be4d344f4eaa6c73b24

Observation fe57a3af-de6d-4fde-8444-6a4f5f91bf22 · outbound

This paper cites Conditional Generative Adversarial Nets.

Data-to-Model Distillation: Data-Efficient Learning Framework Conditional Generative Adversarial Nets

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.294381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.294381Z digest=sha256:d4b743f045041084021d02c47bfb5e0f4bf15fe1aeb7f185fcd4edb4a8ca7b34

Observation b09e3c76-9dff-4464-a609-39700b8998f6 · outbound

This paper cites In: International Conference on Learning Representations (2019).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2019)

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.774302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.296563Z digest=sha256:8807fe3fb0e6f558f6d5d8053a9c4c5be9abcda75128f289549e40fed7d57f22

Observation 00a49f81-a609-4eda-a63b-fe871102d1b8 · outbound

This paper cites In: International Conference on Learning Representations (2021), https: //openreview.net/forum?id=l-PrrQrK0QR.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2021), https: //openreview.net/forum?id=l-PrrQrK0QR

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.767092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.298697Z digest=sha256:7d27b2fe73d8bb3583ff60e23dcf6afa88fc4ba43943f4886a077d9c6bebedbb

Observation 7116e126-e9d6-493b-87b7-a52ee655bc0d · outbound

This paper cites Advances in Neural Information Processing Systems34, 5186–5198 (2021).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems34, 5186–5198 (2021)

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.760489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.300977Z digest=sha256:ecfa0855a4ab839b7261f4adfb5e76be128c56c550e3a273f2d6beaa09c2b5d5

Observation 1eb08c29-5a9e-4fa3-afb8-8201d7173350 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.302829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.302829Z digest=sha256:ba02d082edfe8791d842c4344580ba54280b2b7ce0302722af9668f8f1780e9f

Observation e06d750c-9f27-47ee-8bc9-42dbe07f0bce · outbound

This paper cites In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.304756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.304756Z digest=sha256:191bcddaa864ddb749ea7e9ba423ace624de2817dd6da68ab342d34b846c170b

Observation abb0fbb8-8cc2-4fdb-8c74-eb5b0e5c2cbf · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Data-to-Model Distillation: Data-Efficient Learning Framework FitNets: Hints for Thin Deep Nets

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.306605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.306605Z digest=sha256:6243c9551d727681970dda3185fa4cbc00824f9db98ebd616d388496ed5fc082

Observation 049b66b3-0ee9-4feb-8129-4b2858347c20 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.746167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.310436Z digest=sha256:cad5d8d9dbddb06a002e49536759dff9ee18bf16ac2adb8c5da28b99d2503672

Observation b8e2ab5c-229d-497e-adb2-8a515a899f5f · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.312905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.312905Z digest=sha256:d2f4587421c91eb767b9f34f2cd3c5eda9991b306f15c79e8dca50472e3a20bf

Observation 217f1780-19e4-4629-bf3b-5e2f3eb94ca0 · outbound

This paper cites In: ICASSP 2024- 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data-to-Model Distillation: Data-Efficient Learning Framework In: ICASSP 2024- 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.735334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.315299Z digest=sha256:96999b75b3dd7c87f56f37c1e80ad2edb5220d34ca93d5e3afc056f4cf6a82c3

Observation bd14a549-3d40-4b41-8fb9-83cfcb600132 · outbound

This paper cites End-to-End Supervised Multilabel Contrastive Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework End-to-End Supervised Multilabel Contrastive Learning

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.317877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.317877Z digest=sha256:358d92511cff2e23f3739f2a19c8e268ad36d75360cc25d197a01c420b420504

Observation 237a52d1-8e0a-402f-a983-bc069a6d107d · outbound

This paper cites In: 2022 IEEE 14th Image, Video, and Multidimen- sional Signal Processing Workshop (IVMSP).

Data-to-Model Distillation: Data-Efficient Learning Framework In: 2022 IEEE 14th Image, Video, and Multidimen- sional Signal Processing Workshop (IVMSP)

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.728212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.320440Z digest=sha256:dd786632a8cdf0f80eaac510d2f56402f30f7cf7b98b6bd738efeb074728016e

Observation a8503859-bcfa-491e-b300-8077d5ce9d80 · outbound

This paper cites On the Efficiency of Subclass Knowledge Distillation in Classification Tasks.

Data-to-Model Distillation: Data-Efficient Learning Framework On the Efficiency of Subclass Knowledge Distillation in Classification Tasks

Reference 68

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T17:14:28.498550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.322850Z digest=sha256:346946909db6fb9557e7a765cc953b7a1eed92efa55d5f92f4f71cd22c2182ef

Observation d09e0a1f-07da-4bc6-89c4-b7ca354f5816 · outbound

This paper cites In: ACM SIGGRAPH 2022 conference proceedings.

Data-to-Model Distillation: Data-Efficient Learning Framework In: ACM SIGGRAPH 2022 conference proceedings

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.325678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.325678Z digest=sha256:b4994c7a92c0b2a789113719eccbfb5f675fc8b4c026713ee6debe8344321585

Observation ff11bca8-ea19-426c-b20a-1d04893a654d · outbound

This paper cites In: International Conference on Learning Representations (2018).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2018)

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.327667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.327667Z digest=sha256:ee1ca9b5ecf9e899fdb168116274ebc9fc190b7c073cc6ad665c1dddf9714598

Observation d023d6dd-5f7a-4348-a590-8f8cb6229873 · outbound

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

Data-to-Model Distillation: Data-Efficient Learning Framework Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.329796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.329796Z digest=sha256:8588f8058e17a65dd92b38c5f4707af643f6e737233f338be8684f1efe13a7e8

Observation 6b2b2fd4-81f3-4d2d-bd5c-dbd52a0abfb5 · outbound

This paper cites Advances in neural information processing systems 28 (2015).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems 28 (2015)

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.331973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.331973Z digest=sha256:dd617b53566ec14fd4d2373d68c35b57e6a8c05ae74e9d45f2bce87389acf788

Observation 1b4f5174-2d78-4637-8647-6d065ed861c3 · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.711136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.334151Z digest=sha256:6a4a3e6aae8e037f691ebc163f5d443f1fd8ec90d59bd596d53dfbc243072840

Observation ca9f7634-d7da-4813-bb83-20fd45b4806e · outbound

This paper cites In: International conference on machine learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International conference on machine learning

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.336635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.336635Z digest=sha256:92e349fa2279d2f31b218be128e7455bfeb87c7df5bec803b541d52c7a7de178

Observation 7942dc7b-2026-4da4-a0c0-0dd933d2252b · outbound

This paper cites In: International Conference on Learning Representations (2019).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2019)

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.701052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.338639Z digest=sha256:bc327ead0fbac47d8479dbad2be13f9c939009f83ccfa05335805e785f0a75b1

Observation 47752f6e-574c-4671-8dfd-0d301a7816cd · outbound

This paper cites Scientific data 5(1), 1–9 (2018).

Data-to-Model Distillation: Data-Efficient Learning Framework Scientific data 5(1), 1–9 (2018)

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.340665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.340665Z digest=sha256:7f5a88ddd026009bb0bc1f35ff90c6258cf6abdd828b96c6982842e4113cc356

Observation 9d95021b-4b24-431b-a0ec-a23111419a21 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Data-to-Model Distillation: Data-Efficient Learning Framework Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.343269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.343269Z digest=sha256:1aa6a1fc8e8c86bedc04785ae0a7a44dc502987f3bea82a25f1f9683526da9f2

Observation 2daaf3f4-5d80-4188-aaf8-8db254538cab · outbound

This paper cites DiM: Distilling Dataset into Generative Model.

Data-to-Model Distillation: Data-Efficient Learning Framework DiM: Distilling Dataset into Generative Model

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.347680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.347680Z digest=sha256:699c0fd46f19d6dac303ae6dc53d10fe90fc0138b7ccc2a6e41813868ca6364c

Observation c0b363a8-c287-4be2-a868-88313c78a23b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.350363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.350363Z digest=sha256:3864c0b4fc50c6e5f283cc62167e8b8af214b27e8523f52519d7e1c817504d3d

Observation 8e2c1434-6fbf-45aa-957e-6624bb0b20c8 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.352767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.352767Z digest=sha256:df84dd4c951d8707a793a258482d37cc6338e5291fe64ffb61eb3e809a6b2957

Observation 16c4e081-dc52-46ac-8a8e-332a3970bfd9 · outbound

This paper cites Dataset Distillation.

Data-to-Model Distillation: Data-Efficient Learning Framework Dataset Distillation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.356013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.356013Z digest=sha256:6440ed1872166fd6e24d3091f8b88fc52a7a2d23d0d398b26b8ec6fdf08d64d8

Observation a54f0261-3db3-4073-abb5-83e6c55d1f89 · outbound

This paper cites In: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Data-to-Model Distillation: Data-Efficient Learning Framework In: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.359168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.359168Z digest=sha256:0f1e2617ce1e3874fb2de01ea3ca67bad2890bf43dd16e84b1ffa0c230d1edc2

Observation 30fafabe-fc62-4742-acbb-81a5ebe8633b · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.676655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.360934Z digest=sha256:b62dba61c1b005decf18f506bd8b47a0d451636e65d5a679bc4b8204fbe8343d

Observation b730e3c2-fb81-4f42-b8bf-b2b1b0ffdebf · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.362611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.362611Z digest=sha256:cdfd664d5ffe93b450fd15c02e41643a4db0912831536952b909185f6d8a271c

Observation d7520200-10bf-43f4-85a5-8ac7ca84fd46 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems 36 (2024)

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.663354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.364299Z digest=sha256:2012a0cb5f36bf7837049ad9f5eb58af32f083c28e22004a1197aab57d635c16

Observation 616ef04a-b468-4c3b-ae2a-cec798a836a6 · outbound

This paper cites Scientific Data 10(1), 41 (2023).

Data-to-Model Distillation: Data-Efficient Learning Framework Scientific Data 10(1), 41 (2023)

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.366061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.366061Z digest=sha256:a99c2b490b1ed8138a33f60b33b943d658914b5f3aa5b555c0b6ca60b15e22a7

Observation 0ce7bb07-508c-4958-8c77-c2180670ae27 · outbound

This paper cites In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023) 20 Ahmad Sajedi *, Samir Khaki* et al.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023) 20 Ahmad Sajedi *, Samir Khaki* et al

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.651071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.368966Z digest=sha256:0c4ceb14c842e9307693645650fd170a88b636d8de5b2190e743501b29641cd8

Observation a2b46f3c-edf1-4e8e-ac59-fcc71cf04a06 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.643354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.371581Z digest=sha256:2db59c15412ad4053a7b17fa5c1029e4583810f5e2d9a0ec4fbf892d8463cda9

Observation 67d16bbb-f2a3-4556-a251-e5af23a9812c · outbound

This paper cites In: Interna- tional Conference on Learning Representations (2016).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Interna- tional Conference on Learning Representations (2016)

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.635799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.374409Z digest=sha256:174f7ad34b1c2fda9e991cf5bd20b94e122f076cef2d3f2ad775bc98b5c48c65

Observation 74982fd2-2339-4a7b-a44c-af87c5d671aa · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.376983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.376983Z digest=sha256:622dd2da5a582463d6a608e549c31cff9c7bcff09e27d2f3895f191d7c81d30a

Observation 6f801065-3db8-440d-963a-33da93316d0b · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.379173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.379173Z digest=sha256:242aa45633600305296b346d260a3bf78fa68cd2b8d879b5737b6929eb51fab7

Observation 15c6c773-4129-4a8a-b5b5-23281d19bc95 · outbound

This paper cites In: NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework In: NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research (2022)

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.617865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.381092Z digest=sha256:b76d156419b0129acaafcc21a1877eef3e59e6822d999bfefdf9e0b81471df30

Observation 946faa8b-af48-4d7c-8eaf-e9a1eb3a99f4 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.383106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.383106Z digest=sha256:054524925bdfe7089902d8689e32059c9a1e6aaf79dc936a49cec8c2b803fd15

Observation 546117e2-79a4-45ee-b9e0-e7df2802b96e · outbound

This paper cites In: Ninth International Conference on Learning Representations 2021 (2021).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Ninth International Conference on Learning Representations 2021 (2021)

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.605274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.385146Z digest=sha256:ae79a1fef7cd303df6a38fbefa3597730181b6c4607649cdd4623bacc5ec33af

Observation c9c5b727-72e7-4fd7-8633-5ba325107f69 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.387160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.387160Z digest=sha256:5ca191b58b4d3db8a0f91a8e3dd7d9a792d683ba393d7a3cc3d42a55cae0d7ca

Observation 1d011cdc-c832-43c3-b701-6b5010436f9e · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.592669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.389091Z digest=sha256:56dd888cca7118390cfbd0b9e06a19c2b9c5fcfbf579ab73024736bc2916cad7

Observation ffb9d29a-14a3-4cce-b368-815ed1a8d415 · outbound

This paper cites In: Advances in Neural Information Processing Systems (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Advances in Neural Information Processing Systems (2022)

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:14:28.584514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.391913Z digest=sha256:7bf7117fdbc9e2304b880fc2f653f1753fd465a3b242b954bbcfed2093d38406

Observation b0f9f27c-6854-4e0a-aca4-e78444f17e7f · outbound

This paper cites airplane.

Data-to-Model Distillation: Data-Efficient Learning Framework airplane

Reference 98

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T17:14:28.576664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:14:28.395308Z digest=sha256:1e94cfa17d262d56ba590e3c86582716f952e125d2853eb3f927a920e520cc9d

Pith citing papers

No inbound Pith citation observations are available.