Paper Citation Record · LEDGER

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2412.04871.

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

pith.paper-citation-record.v1
2412.04871 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:13:58.252941Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:49:14.094188Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

38 of 38 outbound references displayed

verified exact4
verified fuzzy0
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 6cd88c30-b46f-4bb6-9fc6-bf4921ab99e0 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.054809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826fedfc-bbd3-4788-892a-2ffff8b6abee · outbound

This paper cites Qwen Technical Report.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Qwen Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.061193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 603333b4-5e50-4f12-8071-afde01c67661 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.067591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d9a411-284f-4982-affd-f4950461ab88 · outbound

This paper cites Yu, Qiang Yang, and Xing Xie.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Yu, Qiang Yang, and Xing Xie

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.073415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5634579-8c04-488a-8248-5278626c9102 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.079375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f3f766-c69e-4ae9-96fb-0ad15ebb162f · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.084367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbd531a-059e-4d92-9397-cb8d9528e35c · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.090294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6d7c972-9cc5-4110-ac8b-2511df8c9566 · outbound

This paper cites Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard H.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard H

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.095337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e39b6c8-96a5-4bde-aeb3-e6447c6d1aa4 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.100228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae6e55f-d59b-4977-839f-2b3da95ebf14 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.106242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8abd807-fd74-4cd5-a7e5-0215b41f5c81 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-08-11T21:13:58.719883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bac7a134-0a52-4a39-b3fc-5a1e5f2ff06d · outbound

This paper cites From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.117083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b731a121-028d-4a7b-ad2f-7c82c79c5cda · outbound

This paper cites From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.122390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae0d3f8-e3d0-47d1-bc0c-5f2e3e7b2f09 · outbound

This paper cites AlignBench: Benchmarking Chinese Alignment of Large Language Models.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.128006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3fe4992-4277-4d73-87f0-70aa58ce5ad6 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.133735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bd85b1f-06d1-483e-926f-d059aad446ff · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.138705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce19a0c0-7deb-4c18-a68b-f060cdbedd6c · outbound

This paper cites Pre-trained Models for Natural Language Processing: A Survey.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Pre-trained Models for Natural Language Processing: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.143893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd1841fb-1ae5-48ad-86c4-b83dd4494d47 · outbound

This paper cites Manning, Stefano Ermon, and Chelsea Finn.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Manning, Stefano Ermon, and Chelsea Finn

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.149231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7e9bce5-bddc-4573-bc8a-132415794e6c · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-08-11T21:13:58.661052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87bf0af4-0f8c-4c4a-a847-fbe090d688a8 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.159646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac63d77-3f00-4637-82fa-0f58a44a9685 · outbound

This paper cites Galactica: A Large Language Model for Science.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Galactica: A Large Language Model for Science

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.164766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f82f0225-6a2a-492c-af60-6b5833926cca · outbound

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

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud LLaMA: Open and Efficient Foundation Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.169933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea87b14a-5bc8-42b0-9322-3d14fa1e2ca8 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.175247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b5b9fbc-003d-4713-a41e-5a929c32c997 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-08-11T21:13:58.582918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cbfe9330-21cc-4296-978e-ba10e08fa0a1 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.186325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa98fa2d-e883-4aef-b554-616eeb9a5ab5 · outbound

This paper cites Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.191194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f1d2de5-ed31-4b21-bd5d-6bbf02f6d5ad · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.195764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 305c4491-9cfd-4600-a86a-09a963e85817 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.200891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc146655-ec6a-456e-a711-5817c76577c3 · outbound

This paper cites Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.205630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c5bff4-34af-41c6-b7bb-5f94f76d4c6d · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.210858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97843b70-bb8a-4b3e-ab54-91632865d636 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud OPT: Open Pre-trained Transformer Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.216080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0aa3461-c853-49af-89df-934e170935df · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:13:58.893227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd9d8169-0440-4195-a2dc-940a1efbe8de · outbound

This paper cites Xing, Hao Zhang, Joseph E.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Xing, Hao Zhang, Joseph E

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.226681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2cbcd74-d5cd-4fca-8ae8-1b4151bf18ba · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.231655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69860ace-80fe-49c2-86d7-cf3cf7edc13b · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 35

Resolution: verified exact; doi, observed 2026-08-11T21:13:58.304608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bab30340-b7f8-4d0d-9fd9-ab91c7175c45 · outbound

This paper cites an unresolved cited work.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.242683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 801c535a-1ee7-4b7f-a7a4-1ec4e5b0f222 · outbound

This paper cites online" 'onlinestring :=.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud online" 'onlinestring :=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.247665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4958c4cb-f87a-4aff-92e1-bd08ee9b587b · outbound

This paper cites write newline.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud write newline

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.252941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1b274687-4f42-416a-b883-8476e822b0f9 · inbound

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models cites this paper.

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:49:15.072251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.