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Paper Citation Record · LEDGER

Generative Data Refinement: Just Ask for Better Data

As of 14 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2509.08653.

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

pith.paper-citation-record.v1
2509.08653 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:24:40.784029Z

measured 55 of 55 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 2026-06-26T20:40:15.506976Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:09:18.883698Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved54
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d36ebf6-ac0c-41bb-ad64-6b12316d6304 · outbound

This paper cites GPT-4 Technical Report.

Generative Data Refinement: Just Ask for Better Data GPT-4 Technical Report

Reference 1

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Observation f19ce1f1-5ac0-433e-b177-85ba35785d5d · outbound

This paper cites Many-Shot In-Context Learning.

Generative Data Refinement: Just Ask for Better Data Many-Shot In-Context Learning

Reference 2

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source=arxiv_source observed=2026-08-04T20:24:40.433690Z digest=sha256:6dbbda37ee43b53f88287b825db2cc79ba0187562b38159eb909e2bd1ac53955

Observation c27abb0e-7b3f-4e11-a76b-5e0dfa92f10c · outbound

This paper cites Agarwal, N.

Generative Data Refinement: Just Ask for Better Data Agarwal, N

Reference 3

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Observation 4d5aaf58-8243-4fc5-b80a-a0643e666263 · outbound

This paper cites an unresolved cited work.

Generative Data Refinement: Just Ask for Better Data Unresolved cited work

Reference 4

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Observation 5827bc61-13ca-4fbd-922d-b26314f45dc1 · outbound

This paper cites Introducing claude.

Generative Data Refinement: Just Ask for Better Data Introducing claude

Reference 5

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Observation eb26fc67-517e-461c-affa-4fa4b65f43ec · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Generative Data Refinement: Just Ask for Better Data Constitutional AI: Harmlessness from AI Feedback

Reference 6

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Observation 51767eb2-4302-409b-80e6-2273fc281eb5 · outbound

This paper cites Bambauer, K.

Generative Data Refinement: Just Ask for Better Data Bambauer, K

Reference 7

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Observation 64503996-935a-48b4-a133-532ef9cabca3 · outbound

This paper cites Mitigating Text Toxicity with Counterfactual Generation.

Generative Data Refinement: Just Ask for Better Data Mitigating Text Toxicity with Counterfactual Generation

Reference 8

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Observation c22f30c5-6d7d-48e4-8b59-c20c2a93b363 · outbound

This paper cites Boesel and R.

Generative Data Refinement: Just Ask for Better Data Boesel and R

Reference 9

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Observation fba3c722-d668-4535-9c03-aa8bbfd31e6b · outbound

This paper cites Quality-Diversity through AI Feedback.

Generative Data Refinement: Just Ask for Better Data Quality-Diversity through AI Feedback

Reference 10

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Observation 07478513-5b92-479e-99d6-d422dc12e8f9 · outbound

This paper cites Carlini, C.

Generative Data Refinement: Just Ask for Better Data Carlini, C

Reference 11

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Observation 202f49a0-1c32-488f-8662-b7d599d1df65 · outbound

This paper cites Carlini, F.

Generative Data Refinement: Just Ask for Better Data Carlini, F

Reference 12

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Observation 9d3609a3-440d-4998-9f68-5d8f0bcc94a1 · outbound

This paper cites Text Detoxification using Large Pre-trained Neural Models.

Generative Data Refinement: Just Ask for Better Data Text Detoxification using Large Pre-trained Neural Models

Reference 13

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Observation 3cd9637f-ef4f-4a2a-a72c-d74f7e225459 · outbound

This paper cites Domingo-Ferrer, D.

Generative Data Refinement: Just Ask for Better Data Domingo-Ferrer, D

Reference 14

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Observation bcd2e5ae-9b40-469d-aa1f-69d717fe2980 · outbound

This paper cites The Llama 3 Herd of Models.

Generative Data Refinement: Just Ask for Better Data The Llama 3 Herd of Models

Reference 15

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Observation 2beb2ca1-3bd9-4186-b3f9-8a815370ae7b · outbound

This paper cites an unresolved cited work.

Generative Data Refinement: Just Ask for Better Data Unresolved cited work

Reference 16

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Observation 715db12e-1b3e-4f94-aead-30dd5992f1c8 · outbound

This paper cites an unresolved cited work.

Generative Data Refinement: Just Ask for Better Data Unresolved cited work

Reference 17

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Observation 87a34979-6fb5-4036-97d8-a7ac439293b8 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Generative Data Refinement: Just Ask for Better Data The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 18

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Observation 377613fb-f4f8-47b8-846f-82a02ee7c1b8 · outbound

This paper cites an unresolved cited work.

Generative Data Refinement: Just Ask for Better Data Unresolved cited work

Reference 19

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Observation 0bc9e708-4093-4cec-993c-e72a6786fe34 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Generative Data Refinement: Just Ask for Better Data Gemini: A Family of Highly Capable Multimodal Models

Reference 20

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Observation d056fae7-62cc-4271-9dca-240a67f9eeca · outbound

This paper cites The mobile economy 2022, 2022.

Generative Data Refinement: Just Ask for Better Data The mobile economy 2022, 2022

Reference 21

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Observation 3daffd72-f9c9-4fc1-935c-a4f0ea5f615a · outbound

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

Generative Data Refinement: Just Ask for Better Data Reinforced Self-Training (ReST) for Language Modeling

Reference 22

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Observation 3c86f7f2-eb94-43f7-b6c4-1503fc27b3b8 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Generative Data Refinement: Just Ask for Better Data Training Compute-Optimal Large Language Models

Reference 23

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Observation 39649947-2bee-4d44-a006-8342f67ceb68 · outbound

This paper cites Scaling Laws for Neural Language Models.

Generative Data Refinement: Just Ask for Better Data Scaling Laws for Neural Language Models

Reference 24

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Observation d7e60f98-5c74-4115-addb-bc760a3e9d56 · outbound

This paper cites Prover-Verifier Games improve legibility of LLM outputs.

Generative Data Refinement: Just Ask for Better Data Prover-Verifier Games improve legibility of LLM outputs

Reference 25

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Observation 53443ca6-d594-4faf-ac2f-91f04d57e61a · outbound

This paper cites Understanding the Effects of RLHF on LLM Generalisation and Diversity.

Generative Data Refinement: Just Ask for Better Data Understanding the Effects of RLHF on LLM Generalisation and Diversity

Reference 26

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Observation e3a3cb75-7830-4cca-81ea-25c8e44ee5a7 · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Generative Data Refinement: Just Ask for Better Data Training Language Models to Self-Correct via Reinforcement Learning

Reference 27

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Observation c44abe15-a75d-4c79-af94-a5ccb834d054 · outbound

This paper cites Lange, Y.

Generative Data Refinement: Just Ask for Better Data Lange, Y

Reference 28

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Observation d8f5fdb5-76c7-46f3-b74f-24813d4ebaed · outbound

This paper cites Civil Rephrases Of Toxic Texts With Self-Supervised Transformers.

Generative Data Refinement: Just Ask for Better Data Civil Rephrases Of Toxic Texts With Self-Supervised Transformers

Reference 29

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Observation 83946d0b-11a4-45ac-a3f3-ff40f6cc233f · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

Generative Data Refinement: Just Ask for Better Data Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 30

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Observation 4d0c8dc8-1516-4c17-8c19-32bc246a7987 · outbound

This paper cites an unresolved cited work.

Generative Data Refinement: Just Ask for Better Data Unresolved cited work

Reference 31

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Observation 0bd0a748-7ebf-477b-949f-d2b5824409c5 · outbound

This paper cites Lehman, J.

Generative Data Refinement: Just Ask for Better Data Lehman, J

Reference 32

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Observation df237f35-df09-4f98-b8e4-b8eec06b44e9 · outbound

This paper cites Deal or No Deal? End-to-End Learning for Negotiation Dialogues.

Generative Data Refinement: Just Ask for Better Data Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Reference 33

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Observation 0e796636-98fe-421c-9d11-dfddb3ba1c4d · outbound

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Generative Data Refinement: Just Ask for Better Data Unresolved cited work

Reference 34

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Observation efa28018-772e-464a-a4f4-d6cac2f77f13 · outbound

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Generative Data Refinement: Just Ask for Better Data Unresolved cited work

Reference 35

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Observation 2ca11a54-81d3-4139-8f85-039fd3a397ce · outbound

This paper cites an unresolved cited work.

Generative Data Refinement: Just Ask for Better Data Unresolved cited work

Reference 36

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Observation 3e2dd718-c768-4bf2-936e-277ca016940b · outbound

This paper cites Lukas, A.

Generative Data Refinement: Just Ask for Better Data Lukas, A

Reference 37

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Observation 7524c2c4-a62f-4b4b-b2b2-4bc1e5acc17e · outbound

This paper cites Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources.

Generative Data Refinement: Just Ask for Better Data Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 38

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Observation b7cb313f-fe78-4e76-a415-c4a08e6d6355 · outbound

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Generative Data Refinement: Just Ask for Better Data Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 39

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Observation c64161bc-b435-48a7-9e64-c2b2f772f618 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Generative Data Refinement: Just Ask for Better Data UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 40

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Observation 98e31d59-0ef7-4639-aa64-4eff5b726632 · outbound

This paper cites Ouyang, J.

Generative Data Refinement: Just Ask for Better Data Ouyang, J

Reference 41

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Observation b5538aa6-ac15-46ac-bf46-b6ef85f26892 · outbound

This paper cites Papasavva, S.

Generative Data Refinement: Just Ask for Better Data Papasavva, S

Reference 42

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Observation acef56ee-b336-4594-b634-712528fc2fd0 · outbound

This paper cites Toxicity Detection: Does Context Really Matter?.

Generative Data Refinement: Just Ask for Better Data Toxicity Detection: Does Context Really Matter?

Reference 43

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This paper cites Email statistics report, 2021-2025.

Generative Data Refinement: Just Ask for Better Data Email statistics report, 2021-2025

Reference 44

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Observation de911866-0c95-4890-94e5-5dbd6cfb3770 · outbound

This paper cites Rafailov, A.

Generative Data Refinement: Just Ask for Better Data Rafailov, A

Reference 45

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This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Generative Data Refinement: Just Ask for Better Data Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 46

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Observation c66b72ee-4876-4867-803b-832d3130badf · outbound

This paper cites Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Generative Data Refinement: Just Ask for Better Data Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 47

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Observation 06f26ad4-58b1-430f-b65d-4857c19fc08a · outbound

This paper cites Schwartz.

Generative Data Refinement: Just Ask for Better Data Schwartz

Reference 48

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Observation 7f948c40-4aad-43ff-8930-1ad0c342d5ef · outbound

This paper cites an unresolved cited work.

Generative Data Refinement: Just Ask for Better Data Unresolved cited work

Reference 49

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This paper cites Beyond Memorization: Violating Privacy Via Inference with Large Language Models.

Generative Data Refinement: Just Ask for Better Data Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 50

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Observation 58a99f4c-ae81-411f-a2a1-3d81f43ebfaa · outbound

This paper cites Thomas and A.

Generative Data Refinement: Just Ask for Better Data Thomas and A

Reference 51

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Observation dd5843fe-ecff-4e71-8c42-ee35b2df103a · outbound

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

Generative Data Refinement: Just Ask for Better Data Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 52

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Observation d2253ed7-dc3d-4044-aecf-8e548eb589ca · outbound

This paper cites DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

Generative Data Refinement: Just Ask for Better Data DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Reference 53

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Observation 19f58c87-061e-4f78-b586-f7746a87e5ce · outbound

This paper cites Synthetic continued pretraining.

Generative Data Refinement: Just Ask for Better Data Synthetic continued pretraining

Reference 54

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Pith citing papers

Observation adf5d7c7-c86c-4b0d-b918-7e2fe8cb6b1a · inbound

Beyond Safe Data: Pretraining-Stage Alignment with Regular Safety Reflection cites this paper.

Beyond Safe Data: Pretraining-Stage Alignment with Regular Safety Reflection Generative Data Refinement: Just Ask for Better Data

Reference 62

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