Paper Citation Record · LEDGER

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model

As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.13277.

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

pith.paper-citation-record.v1
2608.13277 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:53:28.952395Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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 exact0
verified fuzzy9
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98109fd7-6f8b-40cb-b188-b0a7ed773738 · outbound

This paper cites Scaling Learning Algorithms Towards.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Scaling Learning Algorithms Towards

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.565114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dbfa3d5-3abe-47bc-91b7-33d60a19f9fc · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model and Osindero, Simon and Teh, Yee Whye , journal =

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.569461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9809a49-a920-4f2d-aaf9-b2d1ace22bea · outbound

This paper cites 2016 , publisher=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2016 , publisher=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.574174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b26545-0aba-4d8e-b207-040213d58538 · outbound

This paper cites Scaling Laws for Neural Language Models.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Scaling Laws for Neural Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.578151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60d5944c-e46d-4c57-8a01-fa4b810cc6d7 · outbound

This paper cites 2022 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2022 , eprint=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.607908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57dd31bf-f372-40a8-aa36-7e8140d730d5 · outbound

This paper cites 2025 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2025 , eprint=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:29.551475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea31c015-7823-468e-b558-74bde54c95c2 · outbound

This paper cites 2023 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2023 , eprint=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.711059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de13d72-2e35-43eb-a6c1-01df85b31d50 · outbound

This paper cites 2020 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2020 , eprint=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.752336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd4cc876-0765-4bbc-bf72-8170333a7469 · outbound

This paper cites 2022 , editor =.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2022 , editor =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.755667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb9491f-5c44-4b53-9652-71c82b67cdca · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:29.526389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9fcb1430-c893-4a7b-a565-e5e18a7b021a · outbound

This paper cites Routing Networks and the Challenges of Modular and Compositional Computation.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Routing Networks and the Challenges of Modular and Compositional Computation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.763874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c80b79f3-cb58-4040-8048-0be01b59df24 · outbound

This paper cites 2024 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2024 , eprint=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.768724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8998f33e-0bee-4572-8c62-72568bff7f1d · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Gemma: Open Models Based on Gemini Research and Technology

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.772018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aef1a72-e43d-4464-9615-9cdf9654a132 · outbound

This paper cites Distill , year =.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Distill , year =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.775615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad97f43-1212-435a-8428-8331de054987 · outbound

This paper cites 2025 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2025 , eprint=

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:29.511405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95693b35-454c-4dd4-b555-fa24d7b8c296 · outbound

This paper cites 2022 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2022 , eprint=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.782353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec37f5a-8f8a-4761-abd8-267d527b58ad · outbound

This paper cites bert2 BERT : Towards Reusable Pretrained Language Models.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model bert2 BERT : Towards Reusable Pretrained Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.787436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 911d241e-5440-49f3-adad-26074b55ca2a · outbound

This paper cites Revisiting Model Stitching to Compare Neural Representations.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Revisiting Model Stitching to Compare Neural Representations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.825001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8974cb8d-5f80-41bd-ac65-faedce62ac31 · outbound

This paper cites 2023 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2023 , eprint=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:29.380917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ffa92f1-a89e-4ef2-a459-d30c012bc284 · outbound

This paper cites Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models , url =.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models , url =

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:29.261207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7b5f18d1-4900-4ca4-8629-ac78eac32f24 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Finetuned Language Models Are Zero-Shot Learners

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.919861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118a7fe0-25b7-4844-9d6f-4861088b1b81 · outbound

This paper cites 2022 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2022 , eprint=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.923926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b9d635-7744-49ad-be65-ee5b67080821 · outbound

This paper cites 2022 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2022 , eprint=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.928129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2686474-1188-493b-95da-65c1bf6241a1 · outbound

This paper cites 2022 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2022 , eprint=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.930690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a8ef394-e7e8-4f03-adaf-c0e050621e9d · outbound

This paper cites Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:28.934067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ae7bd33-5974-4081-a7a4-cb45b1d14471 · outbound

This paper cites 2026 , eprint=.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model 2026 , eprint=

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:29.233856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0ac3cd42-437f-4c24-a7e7-57e746b52d4b · outbound

This paper cites The Twelfth International Conference on Learning Representations , year =.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model The Twelfth International Conference on Learning Representations , year =

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:29.224560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 452539a7-ce9d-4dbc-b6df-63e6e4441c1e · outbound

This paper cites Stacking Your Transformers: A Closer Look at Model Growth for Efficient.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Stacking Your Transformers: A Closer Look at Model Growth for Efficient

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:29.206022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation af331a98-4586-494d-8ef1-4f6823dc5c4d · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:29.190185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f21f8c71-d134-4461-9602-267260c4bca0 · outbound

This paper cites an unresolved cited work.

Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:53:29.094967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.