Paper Citation Record · LEDGER

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models

As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 4 inbound Pith citation observations for arXiv:2508.11953.

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

pith.paper-citation-record.v1
2508.11953 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:30:47.944696Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:11:02.133177Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

52 of 52 outbound references displayed

verified exact1
verified fuzzy6
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 16d1be41-f898-4a3b-bdda-80e903d09fdd · outbound

This paper cites an unresolved cited work.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:30:48.753223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5efe31d4-457f-4133-b017-eed371b0d930 · outbound

This paper cites Infinity-instruct, Aug 2024.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Infinity-instruct, Aug 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:30:48.725333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e9154d5-ef54-461f-954c-4e4f8a16c48b · outbound

This paper cites X., Webson, A., Raffel, C., Nayak, N.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models X., Webson, A., Raffel, C., Nayak, N

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:30:48.712551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5801b9a-8e15-4d87-8b1c-f4a3714d2a63 · outbound

This paper cites and Vandenberghe, L.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models and Vandenberghe, L

Reference 4

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Source-reported events for the cited work

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Observation 5759c2da-bfbc-41a1-9466-08b3b83f5719 · outbound

This paper cites Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ddd3a72-cf8a-4290-a660-f2f3ded7b9df · outbound

This paper cites an unresolved cited work.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.731602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3121323a-6866-49a7-bc2c-0571412a68c3 · outbound

This paper cites Aioli: A Unified Optimization Framework for Language Model Data Mixing.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.738020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6eddc5c-e459-4a3c-9583-1161767e8451 · outbound

This paper cites Scaling Laws for Predicting Downstream Performance in LLMs.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Scaling Laws for Predicting Downstream Performance in LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.743220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df8ea541-07bc-43a3-b342-51b6a694ac12 · outbound

This paper cites W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, Y., Wang, X., Dehghani, M., Brahma, S., et al.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, Y., Wang, X., Dehghani, M., Brahma, S., et al

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.748478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11abbe46-a43c-4c88-a686-bba1750993c2 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Training Verifiers to Solve Math Word Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.753376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85bade13-ba98-41f1-ab02-df0154c1545c · outbound

This paper cites R., Gould, N.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models R., Gould, N

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.758466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 919a0fbc-5be8-4443-9bf6-b3a09694f8c2 · outbound

This paper cites How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.763317Z

Source-reported events for the cited work

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Observation 6ef790c9-f57b-4729-8ba6-d112e5797eb3 · outbound

This paper cites DOGE: domain reweighting with generalization estimation.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models DOGE: domain reweighting with generalization estimation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:30:48.661658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1665ca0-95b0-4a46-ad8a-822efb84b357 · outbound

This paper cites Toxigen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Toxigen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:30:48.644281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10931bd9-d9ca-4f5d-a7bd-2425d5a184e8 · outbound

This paper cites Measuring massive multitask language understanding.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Measuring massive multitask language understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.779279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b3376c-f091-4871-a791-2dc19fd5c551 · outbound

This paper cites Scaling Laws for Transfer.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Scaling Laws for Transfer

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab825be-bfde-49ac-a887-1e7e928fbecc · outbound

This paper cites A., Welbl, J., Clark, A., Hennigan, T., Noland, E., Millican, K., van den Driessche, G., Damoc, B., Guy, A., Osindero, S., Simonyan, K., Elsen, E., Vinyals, O., Rae, J.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models A., Welbl, J., Clark, A., Hennigan, T., Noland, E., Millican, K., van den Driessche, G., Damoc, B., Guy, A., Osindero, S., Simonyan, K., Elsen, E., Vinyals, O., Rae, J

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1087f2f-bfad-4ebf-8671-39dfa9516ce5 · outbound

This paper cites OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.793761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c38fd998-f5f9-4d00-9024-e71ee38e362d · outbound

This paper cites an unresolved cited work.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Unresolved cited work

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3b46fc6-cd02-494f-afa0-088069a6081b · outbound

This paper cites Scaling laws for downstream task performance of large language models.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Scaling laws for downstream task performance of large language models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63f570f2-7477-4bd1-a1ff-86c53eab6f7f · outbound

This paper cites Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Reference 21

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Source-reported events for the cited work

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Observation fb93925b-447a-492b-8426-75bd250f51ba · outbound

This paper cites P ub M ed QA : A dataset for biomedical research question answering.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models P ub M ed QA : A dataset for biomedical research question answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.811007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2abb661d-ff21-43e1-a6f5-f59205607995 · outbound

This paper cites Autoscale: Automatic prediction of compute-optimal data composition for training llms.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Autoscale: Automatic prediction of compute-optimal data composition for training llms

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.815384Z

Source-reported events for the cited work

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Observation aa930ba0-38af-48de-a548-d60fc49ad425 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.818988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 354d7cde-5d5e-4e94-86f6-c9a8d4634cd1 · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Truthfulqa: Measuring how models mimic human falsehoods

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:30:48.602394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c5c4cac0-9129-411b-bd86-3e0d340c0e3b · outbound

This paper cites RegMix: Data Mixture as Regression for Language Model Pre-training.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.826812Z

Source-reported events for the cited work

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Observation a6a602fc-d871-408a-8c2f-7721a6445f35 · outbound

This paper cites W., Tay, Y., Zhou, D., Le, Q.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models W., Tay, Y., Zhou, D., Le, Q

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.831053Z

Source-reported events for the cited work

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Observation 1d4bea52-d68a-4047-aa96-e5f44d51cd6f · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 28

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Source-reported events for the cited work

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Observation 597c7637-8ca0-4751-b599-5d7a650300d7 · outbound

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Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models and Wright, S

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aaac818-3752-44b6-97ec-07e6bfe2ab8d · outbound

This paper cites Instruction Tuning with GPT-4.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Instruction Tuning with GPT-4

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.845826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49a2d329-3821-4790-b99f-a35bc4f1512b · outbound

This paper cites S., Mishra, S., Parmar, M., and Baral, C.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models S., Mishra, S., Parmar, M., and Baral, C

Reference 31

Resolution: verified exact; doi, observed 2026-08-15T17:30:47.997134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f42c0192-8229-49f7-b955-b30583615737 · outbound

This paper cites Revisiting the Superficial Alignment Hypothesis.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Revisiting the Superficial Alignment Hypothesis

Reference 32

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Source-reported events for the cited work

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Observation 172dd84f-782a-440f-86e3-33c4f9ae84e8 · outbound

This paper cites an unresolved cited work.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.860737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef25a968-3a56-48f1-ac78-cfbb698a40a1 · outbound

This paper cites an unresolved cited work.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Unresolved cited work

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc2bd868-560b-4ac3-89fc-e5eef0d695f7 · outbound

This paper cites Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023

Reference 35

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Observation 4933a902-b23e-4668-81c9-a39a688345be · outbound

This paper cites OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

Reference 36

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Observation d43cf4e7-7c96-4f16-ba9d-bc274810f9b7 · outbound

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

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 37

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Observation ee4156c6-fd01-4748-8705-6ce638b12810 · outbound

This paper cites and Biegler, L.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models and Biegler, L

Reference 38

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Observation d3fb2fd3-6f5b-45af-8f73-35c2f9f70859 · outbound

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Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models S., Arunkumar, A., Stap, D., et al

Reference 39

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Observation a739ca84-9edc-413c-a0b0-e294132b47a6 · outbound

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Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models A., Beltagy, I., et al

Reference 40

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Source-reported events for the cited work

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Observation 38608788-312c-49d1-90bd-f354d4a485ec · outbound

This paper cites W., Lester, B., Du, N., Dai, A.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models W., Lester, B., Du, N., Dai, A

Reference 41

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Source-reported events for the cited work

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Observation e30fa5d4-8bb6-437f-90af-4e811c3dcc4a · outbound

This paper cites FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.898508Z

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Unavailable: canonical work link unavailable.

Observation 072fc1ca-a6fd-41fb-a584-72f629a71a81 · outbound

This paper cites M., Pham, H., Dong, X., Du, N., Liu, H., Lu, Y., Liang, P.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models M., Pham, H., Dong, X., Du, N., Liu, H., Lu, Y., Liang, P

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.903191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6167325e-5401-4bf6-b238-92caa25ee3e1 · outbound

This paper cites Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.907112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c063674c-16d3-4b98-99bb-d0f5ebd3a5ca · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp.\ 4791--4800, 2019.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp.\ 4791--4800, 2019

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.911374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 793b668b-7122-48b0-8e84-830d70489f03 · outbound

This paper cites When scaling meets LLM finetuning: The effect of data, model and finetuning method.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models When scaling meets LLM finetuning: The effect of data, model and finetuning method

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.916110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28bf6f1d-39f9-4319-98c4-edc7fcc9f549 · outbound

This paper cites Long is more for alignment: A simple but tough-to-beat baseline for instruction fine-tuning.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Long is more for alignment: A simple but tough-to-beat baseline for instruction fine-tuning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:30:48.501686Z

Source-reported events for the cited work

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Observation 60b1f3fa-6512-410d-baa5-af11d1dc35ca · outbound

This paper cites Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency

Reference 48

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Source-reported events for the cited work

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Observation 86b9a7dc-8f49-4687-b24a-d7210756fdae · outbound

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

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.930440Z

Source-reported events for the cited work

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Observation 92299c98-a5f0-4f8f-9054-082dcabbba1e · outbound

This paper cites Lima: Less is more for alignment.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Lima: Less is more for alignment

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.935340Z

Source-reported events for the cited work

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Observation f156f1ea-1905-4660-b311-7d907271bd54 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Instruction-Following Evaluation for Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.940296Z

Source-reported events for the cited work

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Observation abf0a0f2-d597-4695-8e15-06334ee7ab6f · outbound

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Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models write newline

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.944696Z

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Pith citing papers

Observation 111e95f3-43c0-47a8-8f13-77ceac3ef911 · inbound

Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning cites this paper.

Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models

Reference 17

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Source-reported events for the cited work

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Observation 59aa6f80-54ff-4a90-8364-1a9dd8dc955f · inbound

AgentOmnia: Scaling Agentic Models for Full-Scenario Applications cites this paper.

AgentOmnia: Scaling Agentic Models for Full-Scenario Applications Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models

Reference 60

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Unavailable: canonical work link unavailable.

Observation 5ab9a158-d575-43ff-89cb-55bd71b48300 · inbound

Bridging Compute- and Data-Optimal Pretraining cites this paper.

Bridging Compute- and Data-Optimal Pretraining Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models

Reference 98

Resolution: verified exact; local_arxiv, observed 2026-08-01T03:08:35.560127Z

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Observation 222a1d89-64c8-40b8-97dc-ec19b59e88fe · inbound

Beyond Full-Model Rollback: AuroSFT for Adapter-State Multi-Task Fine-Tuning cites this paper.

Beyond Full-Model Rollback: AuroSFT for Adapter-State Multi-Task Fine-Tuning Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T17:11:02.133177Z

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