Paper Citation Record · LEDGER

Language Models as Continuous Self-Evolving Data Engineers

As of 23 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.15151.

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

pith.paper-citation-record.v1
2412.15151 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:40:52.644776Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

43 of 43 outbound references displayed

verified exact0
verified fuzzy1
unresolved42
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2df638dc-7b6f-403f-98f4-5241a892d786 · outbound

This paper cites GPT-4 Technical Report.

Language Models as Continuous Self-Evolving Data Engineers GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.400477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e74111-cce3-498c-8dfe-a023ab6a7ae7 · outbound

This paper cites Language Models are Few-Shot Learners.

Language Models as Continuous Self-Evolving Data Engineers Language Models are Few-Shot Learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.406510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe8245b-5312-43c0-8ed5-5e6bd5bf7fa6 · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Language Models as Continuous Self-Evolving Data Engineers Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.412808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8197e9ef-7790-4a38-8c69-d7a70eb36c81 · outbound

This paper cites AlpaGasus: Training A Better Alpaca with Fewer Data.

Language Models as Continuous Self-Evolving Data Engineers AlpaGasus: Training A Better Alpaca with Fewer Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.420049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9eb06b8-d3f3-4e41-9185-f4a31c840841 · outbound

This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Language Models as Continuous Self-Evolving Data Engineers Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.426195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5bd88c3-74cb-46d1-ace6-37d0eb2b21d9 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Language Models as Continuous Self-Evolving Data Engineers Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.432340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 883736c3-6c44-4079-a8e0-1315f6504651 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Language Models as Continuous Self-Evolving Data Engineers Training Verifiers to Solve Math Word Problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.438414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67428fb0-b4fb-4d9a-a471-f4ae5b632880 · outbound

This paper cites AugGPT: Leveraging ChatGPT for Text Data Augmentation.

Language Models as Continuous Self-Evolving Data Engineers AugGPT: Leveraging ChatGPT for Text Data Augmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.443820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6193922c-1244-4c6d-9f1c-b22e77857bfc · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

Language Models as Continuous Self-Evolving Data Engineers Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.450255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36b490c4-d3e9-4671-ad60-1919d031c85e · outbound

This paper cites The Llama 3 Herd of Models.

Language Models as Continuous Self-Evolving Data Engineers The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.455754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 358a0adc-589f-4497-9dfb-5debd9053f43 · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

Language Models as Continuous Self-Evolving Data Engineers Reinforced Self-Training (ReST) for Language Modeling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.461753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd62fa4-7301-4f2c-80ce-182caa171cf4 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Language Models as Continuous Self-Evolving Data Engineers Measuring Massive Multitask Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.468402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60dbf044-5d83-4bd3-ac5d-30b52be2c89b · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Language Models as Continuous Self-Evolving Data Engineers Measuring Mathematical Problem Solving With the MATH Dataset

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.473729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d898366-709e-4693-bba2-3ad9f45a6834 · outbound

This paper cites o pf, Yannic Kilcher, Dimitri von R \.

Language Models as Continuous Self-Evolving Data Engineers o pf, Yannic Kilcher, Dimitri von R \

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.479129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8acf6f4-5a93-4248-9d23-75c2bcdb2d04 · outbound

This paper cites Matryoshka Representation Learning.

Language Models as Continuous Self-Evolving Data Engineers Matryoshka Representation Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.484046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a0d628-971f-4289-b7bb-c789b6e20920 · outbound

This paper cites LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement.

Language Models as Continuous Self-Evolving Data Engineers LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.489392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33fdcea3-ea0f-4daa-afd3-40e39c1da95a · outbound

This paper cites CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation.

Language Models as Continuous Self-Evolving Data Engineers CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.495479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc2cdd7-d157-48be-8587-a6b95c19067b · outbound

This paper cites Self-Alignment with Instruction Backtranslation.

Language Models as Continuous Self-Evolving Data Engineers Self-Alignment with Instruction Backtranslation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.501022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c96be5-32d1-4640-bb76-05b2b99b5a3f · outbound

This paper cites an unresolved cited work.

Language Models as Continuous Self-Evolving Data Engineers Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.508242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c04d6df6-4571-42c2-8286-61faf59ae6a4 · outbound

This paper cites an unresolved cited work.

Language Models as Continuous Self-Evolving Data Engineers Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.513869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a18125-189f-4c47-ae75-7b88649711c7 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Language Models as Continuous Self-Evolving Data Engineers DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.519401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efbaec37-04ba-4484-b57c-d86cd7d76756 · outbound

This paper cites an unresolved cited work.

Language Models as Continuous Self-Evolving Data Engineers Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.525052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b76ea2-b13b-4ae2-b258-80031bdbd2de · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Language Models as Continuous Self-Evolving Data Engineers The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.530442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dfe36fc-d74b-4890-945c-0f67feb64897 · outbound

This paper cites an unresolved cited work.

Language Models as Continuous Self-Evolving Data Engineers Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.536230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e66a480-5cb6-49fd-8ac7-4d0500e33a00 · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

Language Models as Continuous Self-Evolving Data Engineers WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.541710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeade395-c98b-4107-8728-4084c93e7150 · outbound

This paper cites an unresolved cited work.

Language Models as Continuous Self-Evolving Data Engineers Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.548927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd0be1f3-7eab-4981-b200-e6298c3800e8 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Language Models as Continuous Self-Evolving Data Engineers Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.554445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87f48629-b7da-4474-a6ec-23de89afbadc · outbound

This paper cites Hashimoto.

Language Models as Continuous Self-Evolving Data Engineers Hashimoto

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.560169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78f1fd1-525a-43b5-a80a-6e5b7e51474c · outbound

This paper cites an unresolved cited work.

Language Models as Continuous Self-Evolving Data Engineers Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.565138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b4d63a-fe9f-419c-b244-d6e4497f3e7a · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

Language Models as Continuous Self-Evolving Data Engineers Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.570456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710556f9-5863-4b00-ab6a-49e6ec523df6 · outbound

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

Language Models as Continuous Self-Evolving Data Engineers Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.576132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cc1ff05-c00c-45f1-a1eb-0eebf31d8d45 · outbound

This paper cites Data Management For Training Large Language Models: A Survey.

Language Models as Continuous Self-Evolving Data Engineers Data Management For Training Large Language Models: A Survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.581406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f7e376c-164d-4ee5-84ae-962bd808960f · outbound

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

Language Models as Continuous Self-Evolving Data Engineers Finetuned Language Models Are Zero-Shot Learners

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.586753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ea850c-fccc-4650-9cbc-f4c345f9cf1d · outbound

This paper cites Progress or Regress? Self-Improvement Reversal in Post-training.

Language Models as Continuous Self-Evolving Data Engineers Progress or Regress? Self-Improvement Reversal in Post-training

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.592038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bdf436e-fee3-45a7-82c9-418c537a1239 · outbound

This paper cites Self-Play Preference Optimization for Language Model Alignment.

Language Models as Continuous Self-Evolving Data Engineers Self-Play Preference Optimization for Language Model Alignment

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.598281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 179d499a-b4ce-43b6-9044-58e27f8a6f2c · outbound

This paper cites Qwen2 Technical Report.

Language Models as Continuous Self-Evolving Data Engineers Qwen2 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.604076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f65112a-6545-4449-a206-4e3e7ee1407c · outbound

This paper cites Self-Rewarding Language Models.

Language Models as Continuous Self-Evolving Data Engineers Self-Rewarding Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.609842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a823fa39-7de1-4d53-b4fe-11b5d69209fb · outbound

This paper cites an unresolved cited work.

Language Models as Continuous Self-Evolving Data Engineers Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.617317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 406bf371-e427-4f0e-a1e1-90893550fb5e · outbound

This paper cites an unresolved cited work.

Language Models as Continuous Self-Evolving Data Engineers Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.622697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4615a65b-8a81-4837-b8ef-f944ea4ab645 · outbound

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

Language Models as Continuous Self-Evolving Data Engineers ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.627913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9340bbd7-d088-4f12-8a76-c74b1933d69d · outbound

This paper cites Gonzalez, and Ion Stoica.

Language Models as Continuous Self-Evolving Data Engineers Gonzalez, and Ion Stoica

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:40:53.282567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6df99b5c-415f-4642-a411-108ccbf6ebbc · outbound

This paper cites online" 'onlinestring :=.

Language Models as Continuous Self-Evolving Data Engineers online" 'onlinestring :=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.638695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c37da6-a6c5-413f-95cf-a5ae77dd072a · outbound

This paper cites write newline.

Language Models as Continuous Self-Evolving Data Engineers write newline

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.644776Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.