Paper Citation Record · LEDGER

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2508.14783.

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

pith.paper-citation-record.v1
2508.14783 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:20:40.297610Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy19
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3034ec61-b0a1-4771-8496-2b7651ab0ffd · outbound

This paper cites Do deep nets really need to be deep?Advances in Neural Information Processing Systems (NeurIPS), 2014.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Do deep nets really need to be deep?Advances in Neural Information Processing Systems (NeurIPS), 2014

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:43.776682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 699e1235-9a84-4940-95c5-978b672d6b01 · outbound

This paper cites Towards a theory of model distillation.ArXiv, 2024.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Towards a theory of model distillation.ArXiv, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:43.645781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df07be5b-683b-4860-a59b-9ee98e5bbcd3 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:43.500175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f2c62599-7151-4e56-91e3-e3e3bdf1c064 · outbound

This paper cites Language models are few-shot learners.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Language models are few-shot learners

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:43.282827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd740754-8eb8-4935-aafb-c974040ca88f · outbound

This paper cites Knowledge distillation: A survey.International Journal of Computer Vision, 129:1789–1819, 2021.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Knowledge distillation: A survey.International Journal of Computer Vision, 129:1789–1819, 2021

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:43.095434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 851131ce-d11d-43fb-8e64-ecaf7ae6f4bb · outbound

This paper cites Semi-supervised knowledge transfer for deep learning from private training data.International Conference on Learning Represen- tations (ICLR), 2016.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Semi-supervised knowledge transfer for deep learning from private training data.International Conference on Learning Represen- tations (ICLR), 2016

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:42.926626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d859957-56a1-4824-83a1-9e8f3d6a8e6b · outbound

This paper cites Deep mutual learning.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Deep mutual learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:42.793872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46328646-cdaf-49b2-a485-5fba725c6764 · outbound

This paper cites Chaudhari, and Alex Smola.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Chaudhari, and Alex Smola

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:42.637658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 61b76953-d3b1-4c9a-b594-3b1a3748457d · outbound

This paper cites Distilling a neural network into a soft decision tree.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Distilling a neural network into a soft decision tree

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:42.505387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f340bccb-0372-4bb0-9ed5-b9adc743338d · outbound

This paper cites Deep residual learning for image recognition.IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 770–778, 2016.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Deep residual learning for image recognition.IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 770–778, 2016

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:42.357525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09fc7ee0-92d0-454b-aa2b-4dc334b4d973 · outbound

This paper cites Distilling the knowledge in a neural network.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Distilling the knowledge in a neural network

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:42.223400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 132e3fa7-5c5b-4d96-893e-2d583172905f · outbound

This paper cites Choquette-Choo, Katherine Lee, and Nicholas Carlini.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Choquette-Choo, Katherine Lee, and Nicholas Carlini

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:42.058803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ec170eb-272f-4502-8c2d-04cf3e41cb8a · outbound

This paper cites an unresolved cited work.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:20:41.940772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d0192ef-ff2b-47f3-a2f1-aead4b55d825 · outbound

This paper cites Stich, and Martin Jaggi.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Stich, and Martin Jaggi

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:41.807295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7347b90b-b723-4c4e-b220-416a7a139912 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T18:20:39.435803Z

Source-reported events for the cited work

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Observation c06c1f0d-5bbe-4e82-b018-56d918967826 · outbound

This paper cites Zero-shot knowledge distillation.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Zero-shot knowledge distillation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:41.623191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36804c76-8226-4edd-a65a-633988e91c61 · outbound

This paper cites Bert distillation to enhance the performance of machine learning models for sentiment analysis on movie review data.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Bert distillation to enhance the performance of machine learning models for sentiment analysis on movie review data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:41.431901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 085b03f5-da43-455a-8d96-2aee0c142a3b · outbound

This paper cites Torralba, and Alexei A.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Torralba, and Alexei A

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:41.236459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f150b998-8ae1-43e9-b684-71eb3610e436 · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T18:20:39.829208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada8d058-366c-473e-8d0b-b32e07d2ea6c · outbound

This paper cites Model distillation for faithful explanations of medical code predictions.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Model distillation for faithful explanations of medical code predictions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:40.992427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0aa59d05-c455-471c-be12-b04f8220e6a5 · outbound

This paper cites Training a binary neural network from scratch with adversarial learning.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Training a binary neural network from scratch with adversarial learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:40.819660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bc19fca9-0ad0-4ad9-ba32-195d695f5b2d · outbound

This paper cites Self-knowledge distillation with learning from role-model samples.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Self-knowledge distillation with learning from role-model samples

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:20:40.669448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6368b35-cf4a-4ec6-b391-a93786cd19bd · outbound

This paper cites an unresolved cited work.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:20:40.507286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 57717b8c-d79b-4b31-9896-a39933e9c533 · outbound

This paper cites Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books.

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T18:20:40.297610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.