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Paper Citation Record · LEDGER

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio

As of 2 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2409.06624.

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

pith.paper-citation-record.v1
2409.06624 v4

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T20:42:38.782232Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:42:37.269767Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

  • verified exact20
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3f584ea-f017-4056-a7a9-b86cfba4ed6d · outbound

This paper cites In: Findings of ACL 2023 (2023).

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio In: Findings of ACL 2023 (2023)

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 9a506b35-d676-410b-87f2-431e8aaf913c · outbound

This paper cites an unresolved cited work.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Unresolved cited work

Reference 2

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raw_fallback, observed 2026-05-23T20:43:26.009022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation a15b4b2d-d573-4145-8b85-7a1200cedf2d · outbound

This paper cites DRCD: a Chinese Machine Reading Comprehension Dataset.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio DRCD: a Chinese Machine Reading Comprehension Dataset

Reference 3

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local_arxiv, observed 2026-05-23T20:43:25.225541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation a4a907e2-d065-447b-97a7-15f181d41651 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Training Verifiers to Solve Math Word Problems

Reference 4

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local_arxiv, observed 2026-05-23T20:43:25.304939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation fed40c13-73cd-471f-bbb7-97cc55794876 · outbound

This paper cites In: EMNLP-IJCNLP (2019).

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio In: EMNLP-IJCNLP (2019)

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 82e89080-04d0-4030-be8e-d3148897230b · outbound

This paper cites Measuring Massive Multitask Language Understanding.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Measuring Massive Multitask Language Understanding

Reference 6

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local_arxiv, observed 2026-05-23T20:43:25.295173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 0d0dfd13-317d-4d9b-8e12-ec7664703b43 · outbound

This paper cites BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues

Reference 7

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arxiv_id, observed 2026-05-23T20:43:25.208096Z

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 08a556dd-ab82-469e-83b3-5b9c0153145b · outbound

This paper cites an unresolved cited work.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 029bf7e3-5c76-49ed-ac41-7a79dcb4cb26 · outbound

This paper cites CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models

Reference 9

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arxiv_id, observed 2026-05-23T20:43:25.265199Z

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation b63c750e-d98a-4f7f-8826-103fa153db43 · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 10

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arxiv_id, observed 2026-05-23T20:43:25.275088Z

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 8b1f3197-1f63-4abf-9e52-873a5ab2f18f · outbound

This paper cites Training Compute-Optimal Large Language Models.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Training Compute-Optimal Large Language Models

Reference 11

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local_arxiv, observed 2026-05-23T20:43:25.300044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 13afc7aa-e79a-4cfe-866a-e69fb069731d · outbound

This paper cites In: Màrquez, L., Callison-Burch, C., Su, J.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio In: Màrquez, L., Callison-Burch, C., Su, J

Reference 12

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raw_fallback, observed 2026-05-23T20:43:26.012253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 996e7b15-57bb-402c-8210-b54c8e2e71e7 · outbound

This paper cites Scaling Laws for Neural Language Models.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Scaling Laws for Neural Language Models

Reference 13

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local_arxiv, observed 2026-05-23T20:43:25.202537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 0c1854a7-3621-47b6-8c91-9527f8f13e01 · outbound

This paper cites Task Oriented In-Domain Data Augmentation.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Task Oriented In-Domain Data Augmentation

Reference 14

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arxiv_id, observed 2026-05-23T20:43:25.279872Z

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 9e28e0d6-15e6-49eb-ab9d-7befe2ef5baa · outbound

This paper cites FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark

Reference 15

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arxiv_id, observed 2026-05-23T20:43:25.269973Z

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 6bff9a88-bb43-4259-ac02-662a654e7abf · outbound

This paper cites EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data

Reference 16

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arxiv_id, observed 2026-05-23T20:43:25.231006Z

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 2004c911-b647-4e56-926c-956c92f8a199 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 17

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 48a95306-ecad-4994-8913-f7d7bc66aa41 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Evaluating Large Language Models Trained on Code

Reference 18

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local_arxiv, observed 2026-05-23T20:43:25.289897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T08:08:23.404839+00:00.

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Observation 677879ec-cdce-4db7-a6a4-55226f716090 · outbound

This paper cites Training language models to follow instructions with human feedback.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Training language models to follow instructions with human feedback

Reference 19

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local_arxiv, observed 2026-05-23T20:43:25.213933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 3e28a103-38f6-4bb9-8364-33140453541d · outbound

This paper cites D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models

Reference 20

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arxiv_id, observed 2026-05-23T20:43:25.284698Z

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation a7f171b3-2d44-485e-a955-eface99eb454 · outbound

This paper cites In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 6bc833e1-40c4-4d0b-9413-0e52099299c5 · outbound

This paper cites an unresolved cited work.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation c137493b-40b2-4d49-8b85-46c6e7c2f4a6 · outbound

This paper cites Journal of Pacific Rim Psychology (2023).

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Journal of Pacific Rim Psychology (2023)

Reference 23

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Observation 3f745850-9722-42c9-9057-9f449b0d9d04 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 24

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local_arxiv, observed 2026-05-23T20:43:25.254645Z

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 0bad5256-d95e-4176-a3b8-ed8d58cd68bb · outbound

This paper cites LLaMA Pro: Progressive LLaMA with Block Expansion.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio LLaMA Pro: Progressive LLaMA with Block Expansion

Reference 25

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arxiv_id, observed 2026-05-23T20:43:25.247611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation bc964ceb-b6de-4e1a-8911-33b2a05c001b · outbound

This paper cites an unresolved cited work.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Unresolved cited work

Reference 26

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raw_fallback, observed 2026-05-23T20:43:25.995551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation bebf8430-e8ca-4440-81ba-e21423839e8a · outbound

This paper cites Technical report, Alibaba Group (2024).

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Technical report, Alibaba Group (2024)

Reference 27

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Observation f102d1f1-0ba0-4e93-ad9f-931d7053bba2 · outbound

This paper cites an unresolved cited work.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 1035dacd-e1cf-4c84-bdc5-53f2011948b2 · outbound

This paper cites an unresolved cited work.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Unresolved cited work

Reference 29

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raw_fallback, observed 2026-05-23T20:43:25.981746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 731cb606-f0c0-4e39-9ea5-97b50134f3ac · outbound

This paper cites C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Reference 30

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arxiv_id, observed 2026-05-23T20:43:25.242108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 8e1d1755-a092-401e-8426-37f2da41c35e · outbound

This paper cites Generative Table Pre-training Empowers Models for Tabular Prediction.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Generative Table Pre-training Empowers Models for Tabular Prediction

Reference 31

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arxiv_id, observed 2026-05-23T20:43:25.260113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 667e76b2-a9bd-4e7d-b16f-938a346a2ef7 · outbound

This paper cites In: ACL (2024).

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio In: ACL (2024)

Reference 32

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raw_fallback, observed 2026-05-23T20:43:26.002370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 67cad7a2-72a2-4d5b-a626-d9298a0eb81e · outbound

This paper cites Continual Learning of Natural Language Processing Tasks: A Survey.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Continual Learning of Natural Language Processing Tasks: A Survey

Reference 33

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arxiv_id, observed 2026-05-23T20:43:25.236651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-23T20:42:38.782232Z digest=sha256:109b41ded6ec95d35453797fbbc7dfce178362a54ab2541d9086b734a75cedb5

Pith citing papers

Observation 416b8a08-a33f-4710-a2db-18ba5e2dd20b · inbound

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD cites this paper.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio

Reference 26

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no resolver link, observed 2026-08-01T10:42:37.269767Z

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source=arxiv_source observed=2026-08-01T10:42:37.269767Z digest=sha256:5e9f2ccdc09a311c14d336222e4f1588a31f8176f388c05b68ad344767004bf4