Paper Citation Record · LEDGER

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones

As of 11 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.19325.

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

pith.paper-citation-record.v1
2412.19325 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:46:17.847060Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

50 of 50 outbound references displayed

verified exact3
verified fuzzy17
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b047f6d-c614-4c50-8644-3920bd00f4d0 · outbound

This paper cites write newline.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.674748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f9fb34-5070-4468-9e6c-e68f137b8c57 · outbound

This paper cites M., Mallinar, N., Lucas, J., and Nakkiran, P.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones M., Mallinar, N., Lucas, J., and Nakkiran, P

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.469270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 322b18c9-c923-4dc8-bf44-04df3d88a268 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Accelerating Large Language Model Decoding with Speculative Sampling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.682571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15721e5e-9611-4ae0-bdc5-bc8941b55cb1 · outbound

This paper cites and Ge, R.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones and Ge, R

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.457855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 85cd3f88-e0ba-406c-94fb-a8302d1f35c2 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Imagenet: A large-scale hierarchical image database

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.691055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2f7f04-dbce-4010-a5dc-378c5856032d · outbound

This paper cites an unresolved cited work.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.694677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8acee224-e61f-45b3-ab37-6afcaabda785 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Qlora: Efficient finetuning of quantized llms

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.698823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90982f90-e08c-42ff-ace3-356ac7217f20 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.428526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7a1f2f3d-82ee-4962-8c77-b681aacae00f · outbound

This paper cites Depth-Adaptive Transformer.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Depth-Adaptive Transformer

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.705612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01883388-384a-4c99-a750-7d3ded7ddc1c · outbound

This paper cites Depth-adaptive transformer.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Depth-adaptive transformer

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.417577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 01f1c6d6-378d-4c00-b8b7-5689ee95ff32 · outbound

This paper cites Towards Better Selective Classification.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Towards Better Selective Classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.712383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f29ba132-eca4-4f0b-9ebe-a2a562def69d · outbound

This paper cites Compressing BERT : Studying the effects of weight pruning on transfer learning.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Compressing BERT : Studying the effects of weight pruning on transfer learning

Reference 12

Resolution: verified exact; doi, observed 2026-08-11T00:46:17.897772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1676788f-3b71-4bd0-afa4-9a2d4e2d8f40 · outbound

This paper cites and Bagnell, D.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones and Bagnell, D

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.407527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df44c1a0-87cd-48ed-bddb-8de075b5a977 · outbound

This paper cites Minillm: Knowledge distillation of large language models.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Minillm: Knowledge distillation of large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.396723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1324b66b-8c72-49b3-82fe-39bfe592a3cc · outbound

This paper cites an unresolved cited work.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.726320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fee3923-b0ff-48b6-aae1-4d7347a0e554 · outbound

This paper cites E$^2$CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones E$^2$CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:46:18.155873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 478d80c1-bf64-4c51-89be-1974b228c2a7 · outbound

This paper cites Learning to Weight Samples for Dynamic Early-Exiting Networks, pp.\ 362--378.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Learning to Weight Samples for Dynamic Early-Exiting Networks, pp.\ 362--378

Reference 17

Resolution: verified exact; doi, observed 2026-08-11T00:46:17.886483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15d7e391-ff2b-4e5a-a3e3-8b403b4187ed · outbound

This paper cites A stitch in time saves nine: A train-time regularizing loss for improved neural network calibration.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones A stitch in time saves nine: A train-time regularizing loss for improved neural network calibration

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.379899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f246554e-ae1f-419f-ae06-701d33132fe9 · outbound

This paper cites Why relu networks yield high-confidence predictions far away from the training data and how to mitigate the problem.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Why relu networks yield high-confidence predictions far away from the training data and how to mitigate the problem

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.739881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 350ab2d4-c82c-48f0-b7a3-81bee7c71971 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Distilling the Knowledge in a Neural Network

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.742904Z

Source-reported events for the cited work

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Observation 7dc95869-bc47-4ca2-a613-1183204816eb · outbound

This paper cites Training Compute-Optimal Large Language Models.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Training Compute-Optimal Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.746627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1c541ca-c9c5-426c-82e6-834f01cb508a · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.750351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 225c4804-4a31-4c58-b1cc-c248812d257b · outbound

This paper cites an unresolved cited work.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:46:18.368352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 006b4c1e-1667-4823-b9cc-9498cb956320 · outbound

This paper cites Adaptive deep neural network inference optimization with eenet.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Adaptive deep neural network inference optimization with eenet

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.356918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0b9d57b8-1da5-4cb6-8036-d72befded7fc · outbound

This paper cites U., Zhang, D., and Nalisnick, E.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones U., Zhang, D., and Nalisnick, E

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.345373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cf48251e-45f3-4ce9-993e-69389c3d6e8f · outbound

This paper cites To trust or not to trust a classifier.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones To trust or not to trust a classifier

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.334436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 003b5b20-5a2b-4065-b0d0-dcb77daad5d7 · outbound

This paper cites Scaling Laws for Neural Language Models.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Scaling Laws for Neural Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.769378Z

Source-reported events for the cited work

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Observation 7cef64ea-02b0-4d42-a0b4-8e2f6dde263c · outbound

This paper cites Shallow-deep networks: Understanding and mitigating network overthinking.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Shallow-deep networks: Understanding and mitigating network overthinking

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.323629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61028688-bb4a-4f65-90cb-de91095e7c51 · outbound

This paper cites Crafting papers on machine learning.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Crafting papers on machine learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.776544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4b9d83-166f-4033-a52d-428c4eb4a790 · outbound

This paper cites an unresolved cited work.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:46:18.306165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0d783e10-8e7a-4830-8a16-96bba326f3d2 · outbound

This paper cites Fast inference from transformers via speculative decoding.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Fast inference from transformers via speculative decoding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.783342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a88efa8-2955-4038-b02d-b04f6546180b · outbound

This paper cites P., Salakhutdinov, R.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones P., Salakhutdinov, R

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.786656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f428284a-c002-439f-bc90-01f885e658c6 · outbound

This paper cites Decoupled Weight Decay Regularization.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Decoupled Weight Decay Regularization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.790117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04dc7294-ab78-4fd3-9355-d82b13b6312d · outbound

This paper cites The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.793499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e424f07b-086b-470a-b623-736677643bdc · outbound

This paper cites Fixing overconfidence in dynamic neural networks.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Fixing overconfidence in dynamic neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.282455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1594f0c1-d798-40fb-87bf-a1687e38929f · outbound

This paper cites P., Cooper, G.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones P., Cooper, G

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.271126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2522d9bb-0547-44f1-b87d-246eb35c51ac · outbound

This paper cites On-the-fly operation batching in dynamic computation graphs.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones On-the-fly operation batching in dynamic computation graphs

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.259805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b92c40c8-d9aa-432d-8ed8-f11188968ae6 · outbound

This paper cites W., Zhang, L., Jerfel, G., and Tran, D.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones W., Zhang, L., Jerfel, G., and Tran, D

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.248113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 42bbcd89-deb3-4f56-a373-22772c741cde · outbound

This paper cites Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.810196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8edd0389-6668-4b5a-aea0-6ac515b4335c · outbound

This paper cites Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.813332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41723cf0-a234-4908-9e1e-2796de5b3e46 · outbound

This paper cites Consistent Accelerated Inference via Confident Adaptive Transformers.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Consistent Accelerated Inference via Confident Adaptive Transformers

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.816920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7889afeb-f476-4712-860c-e0e901dd79c1 · outbound

This paper cites Confident adaptive language modeling.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Confident adaptive language modeling

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.820743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d524fcb-9f4c-4b42-a162-1ea91cbabb0d · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones A Simple and Effective Pruning Approach for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.823761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdc59e29-9908-4fb1-9b2a-68050dc67d0b · outbound

This paper cites and Naganuma, H.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones and Naganuma, H

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.827082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b00f86cc-a165-4c26-aa23-60b93e71860f · outbound

This paper cites Branchynet: Fast inference via early exiting from deep neural networks.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Branchynet: Fast inference via early exiting from deep neural networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.830171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b11145-d33f-4198-9acc-a5a22a317f94 · outbound

This paper cites Open-set recognition: A good closed-set classifier is all you need? 2021.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Open-set recognition: A good closed-set classifier is all you need? 2021

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.218173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 014d507a-7c2b-485a-b489-423324ccc811 · outbound

This paper cites Calibration in Deep Learning: A Survey of the State-of-the-Art.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.836629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4afa6e13-0f3a-411a-9fdf-418dd922f402 · outbound

This paper cites Rethinking calibration of deep neural networks: Do not be afraid of overconfidence.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Rethinking calibration of deep neural networks: Do not be afraid of overconfidence

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:18.205918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ebf1b9b5-f4bb-4ddd-8288-9940641da336 · outbound

This paper cites Emergent Abilities of Large Language Models.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Emergent Abilities of Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.843536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0555f4e-ad26-41fb-ba95-a6a7c57b28a6 · outbound

This paper cites Pytorch image models.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Pytorch image models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:17.847060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.