Paper Citation Record · LEDGER

A multilevel approach to accelerate the training of Transformers

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.18590.

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

pith.paper-citation-record.v1
2504.18590 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:35.336584Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

verified exact3
verified fuzzy10
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b728c857-212f-4087-bdef-ac34a6a7c28e · outbound

This paper cites Avelin and K.

A multilevel approach to accelerate the training of Transformers Avelin and K

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.864843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d6f7dbd-ab6d-4e3e-b06c-73b6ac5c6935 · outbound

This paper cites N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations.

A multilevel approach to accelerate the training of Transformers N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.194923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a400bd7-f962-48c1-9774-c890f73bfbdb · outbound

This paper cites Brown, B.

A multilevel approach to accelerate the training of Transformers Brown, B

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.849873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 28bf26ff-921c-4538-9a49-1a4261f46b44 · outbound

This paper cites Chang, W.

A multilevel approach to accelerate the training of Transformers Chang, W

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.830869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c26b12c7-9df5-4539-b7e7-df7cd162f1fa · outbound

This paper cites bert2BERT: Towards Reusable Pretrained Language Models.

A multilevel approach to accelerate the training of Transformers bert2BERT: Towards Reusable Pretrained Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.210795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f457159a-da31-4971-a761-283c595066ab · outbound

This paper cites Neural Ordinary Differential Equations.

A multilevel approach to accelerate the training of Transformers Neural Ordinary Differential Equations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.216045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4707cc99-010e-4f24-b773-94edf14dc961 · outbound

This paper cites Net2Net: Accelerating Learning via Knowledge Transfer.

A multilevel approach to accelerate the training of Transformers Net2Net: Accelerating Learning via Knowledge Transfer

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.221598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a3eff5-2460-4d3e-a662-09cdeec8b0ad · outbound

This paper cites an unresolved cited work.

A multilevel approach to accelerate the training of Transformers Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:47:35.815550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 505345ce-d9bd-4783-974c-c3be0b8802be · outbound

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

A multilevel approach to accelerate the training of Transformers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.231248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 132c4ec8-514f-4ddc-8667-ad41fefcd172 · outbound

This paper cites Gaedke-Merzhäuser, A.

A multilevel approach to accelerate the training of Transformers Gaedke-Merzhäuser, A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.799927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75745099-7f8c-4d52-a522-0d47aaf49c69 · outbound

This paper cites an unresolved cited work.

A multilevel approach to accelerate the training of Transformers Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:47:35.783616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1f19f6bf-a763-4515-bbb0-4ecf31ca5fe5 · outbound

This paper cites Gratton, V.

A multilevel approach to accelerate the training of Transformers Gratton, V

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.767006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31a7479a-bc73-4642-a71a-028bc7d50c46 · outbound

This paper cites On the Transformer Growth for Progressive BERT Training.

A multilevel approach to accelerate the training of Transformers On the Transformer Growth for Progressive BERT Training

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:47:35.546153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0ceb076-e790-41a4-824e-bf8b9b3125c5 · outbound

This paper cites Scaling Laws for Neural Language Models.

A multilevel approach to accelerate the training of Transformers Scaling Laws for Neural Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.256820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 232b848b-4c0f-4b07-9fd7-30af0633d1b8 · outbound

This paper cites Kopaniˇcáková and R.

A multilevel approach to accelerate the training of Transformers Kopaniˇcáková and R

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.750989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3cb45f2f-e467-426a-8da9-a6932d1bf5cc · outbound

This paper cites an unresolved cited work.

A multilevel approach to accelerate the training of Transformers Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:47:35.734119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 588b1dc4-8636-4783-be1f-38e77e8d8df4 · outbound

This paper cites Lauga, E.

A multilevel approach to accelerate the training of Transformers Lauga, E

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.718722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c2f8830-7220-476b-affd-18c20cc474e3 · outbound

This paper cites ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation.

A multilevel approach to accelerate the training of Transformers ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:47:35.506056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a61d24e-f828-4e9b-b5b7-3a64fe57e723 · outbound

This paper cites Understanding the Difficulty of Training Transformers.

A multilevel approach to accelerate the training of Transformers Understanding the Difficulty of Training Transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.282331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de837293-0650-49db-ba50-e0525d447baf · outbound

This paper cites an unresolved cited work.

A multilevel approach to accelerate the training of Transformers Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:47:35.703031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c73b403a-9811-4f42-9249-20da5fcef414 · outbound

This paper cites Exploring Transformers for Large-Scale Speech Recognition.

A multilevel approach to accelerate the training of Transformers Exploring Transformers for Large-Scale Speech Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.292408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1ab8717-6967-42c0-9909-0c2039fb4ba6 · outbound

This paper cites Penedo, H.

A multilevel approach to accelerate the training of Transformers Penedo, H

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.686816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e282aa30-7704-413c-ae16-182c669bb71a · outbound

This paper cites Quemener and M.

A multilevel approach to accelerate the training of Transformers Quemener and M

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.670791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7795f1e0-724b-4a88-99db-188c588e0399 · outbound

This paper cites Radford, J.

A multilevel approach to accelerate the training of Transformers Radford, J

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.307185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c27f562-a2f7-4ae1-a25a-a92ed8a62b65 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

A multilevel approach to accelerate the training of Transformers LLaMA: Open and Efficient Foundation Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.311821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f157f21-6be3-440b-ab52-2fbf396242b6 · outbound

This paper cites Vaswani, N.

A multilevel approach to accelerate the training of Transformers Vaswani, N

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:35.645250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b4feb1a5-ce67-46aa-962c-446a901e70a7 · outbound

This paper cites Learning to Grow Pretrained Models for Efficient Transformer Training.

A multilevel approach to accelerate the training of Transformers Learning to Grow Pretrained Models for Efficient Transformer Training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.321589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2488d91-bc84-4c69-9bb7-e3e961e3f049 · outbound

This paper cites Speeding up Deep Model Training by Sharing Weights and Then Unsharing.

A multilevel approach to accelerate the training of Transformers Speeding up Deep Model Training by Sharing Weights and Then Unsharing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.326873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f58139-59c4-4296-9cc3-9bc13904363c · outbound

This paper cites Deconstructing What Makes a Good Optimizer for Language Models.

A multilevel approach to accelerate the training of Transformers Deconstructing What Makes a Good Optimizer for Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.331803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 129c71b4-b63a-4541-b10f-b69a28dfa524 · outbound

This paper cites A Multi-Level Framework for Accelerating Training Transformer Models.

A multilevel approach to accelerate the training of Transformers A Multi-Level Framework for Accelerating Training Transformer Models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:47:35.381340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.