Paper Citation Record · LEDGER

Scaling Synthetic Data Creation with 1,000,000,000 Personas

As of 5 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 74 inbound Pith citation observations for arXiv:2406.20094.

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

pith.paper-citation-record.v1
2406.20094 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T00:03:55.599967Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 74 of 74 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:24:42.425486Z

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

29 of 29 outbound references displayed

verified exact20
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch7

External citation measurements

8
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 48bf3066-0a57-44fe-a7b5-133be8d4861d · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-16T00:03:55.666645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d146f7e4-e526-4a3d-83ae-ed9e88e16965 · outbound

This paper cites GPT-4 Technical Report.

Scaling Synthetic Data Creation with 1,000,000,000 Personas GPT-4 Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-16T00:03:55.633202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a5d2d6b-9641-4569-be44-208fb3d3ed81 · outbound

This paper cites COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.

Scaling Synthetic Data Creation with 1,000,000,000 Personas COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.640199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb638a36-de58-4443-b8ae-e9f5f07fd327 · outbound

This paper cites Comprehensive Exploration of Synthetic Data Generation: A Survey.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T00:03:55.647045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation da49297d-d1d0-4f6b-be57-6ce305d822b7 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Scaling Synthetic Data Creation with 1,000,000,000 Personas DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-16T00:03:55.652918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 33948438-b57a-4ef6-9ce0-80ed70f2d0b4 · outbound

This paper cites On the resemblance and containment of documents.

Scaling Synthetic Data Creation with 1,000,000,000 Personas On the resemblance and containment of documents

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T00:03:55.804178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2762c771-0c5b-4b9d-a5ec-815ba18a20d1 · outbound

This paper cites Large Language Models as Tool Makers.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Large Language Models as Tool Makers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.674398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52d3d290-0195-4c01-87aa-2614dc28fd57 · outbound

This paper cites On the Possibilities of AI-Generated Text Detection.

Scaling Synthetic Data Creation with 1,000,000,000 Personas On the Possibilities of AI-Generated Text Detection

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T00:03:55.681990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30613c27-989e-4aaa-a11c-3d0d8a7a9d53 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-16T00:03:55.688697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 017bb499-cdaf-4d86-a560-c9627e89d884 · outbound

This paper cites Language Modeling Is Compression.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Language Modeling Is Compression

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:36:13.497932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f9bc22b5-804e-46ec-b7b2-c4e3fa27385e · outbound

This paper cites A Tale of Tails: Model Collapse as a Change of Scaling Laws.

Scaling Synthetic Data Creation with 1,000,000,000 Personas A Tale of Tails: Model Collapse as a Change of Scaling Laws

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.702551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a3ddce9-52b0-45d3-bc7c-e7becced4370 · outbound

This paper cites Strategic Reasoning with Language Models.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Strategic Reasoning with Language Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T00:03:55.708814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12cfabf5-9a20-49c9-bfde-f398fe9c1b63 · outbound

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

Scaling Synthetic Data Creation with 1,000,000,000 Personas Measuring Mathematical Problem Solving With the MATH Dataset

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T00:03:55.715644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5fabff6e-65fe-42c3-95a3-b3e367d387b0 · outbound

This paper cites Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T00:03:55.722916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f7a7dda-a131-49c6-9428-66480bb2184d · outbound

This paper cites Faithful Persona-based Conversational Dataset Generation with Large Language Models.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Faithful Persona-based Conversational Dataset Generation with Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.731116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29cea877-8fe4-4e00-91c4-e99cac05bae1 · outbound

This paper cites Scaling Laws for Neural Language Models.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Scaling Laws for Neural Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-16T00:03:55.740286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 851ef560-07cf-4904-b041-711b48a2b200 · outbound

This paper cites Common 7B Language Models Already Possess Strong Math Capabilities.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Common 7B Language Models Already Possess Strong Math Capabilities

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.750774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 488dde72-99e6-4ddf-be4a-60d3a260de87 · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

Scaling Synthetic Data Creation with 1,000,000,000 Personas A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37c7d081-73c9-4f4d-8dc9-55aaf38085f6 · outbound

This paper cites Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.762502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 369c9f5d-19ac-4f14-9f20-aba51671f76a · outbound

This paper cites On the Risk of Misinformation Pollution with Large Language Models.

Scaling Synthetic Data Creation with 1,000,000,000 Personas On the Risk of Misinformation Pollution with Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.768468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 46a5c8b2-a400-42f2-b81c-7819b46e4343 · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

Scaling Synthetic Data Creation with 1,000,000,000 Personas The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:04:58.330652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6ea04555-ccdf-4642-b5d7-875164cde317 · outbound

This paper cites MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

Scaling Synthetic Data Creation with 1,000,000,000 Personas MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.779793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 95a360fd-5c36-4ba0-816f-4bbb0314a033 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-16T00:03:55.784962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a3f031f-02a2-4cb7-b9ab-8d4fb4841384 · outbound

This paper cites Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi- persona self-collaboration.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi- persona self-collaboration

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T00:03:55.808297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 63994169-d189-4dfd-a856-2b4ee05b0678 · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-16T00:03:55.790579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 82e1358a-134e-4c47-93b5-12daca19527d · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Yi: Open Foundation Models by 01.AI

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T00:03:55.795468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d65a5ea4-362f-4056-8f6e-888cf512b8f6 · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Scaling Synthetic Data Creation with 1,000,000,000 Personas MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-16T00:03:55.800476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9d270ea-5da7-4e29-9721-df54b58721cd · outbound

This paper cites LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models.

Scaling Synthetic Data Creation with 1,000,000,000 Personas LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.660291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 742740b9-16c7-43ad-8ffd-cb5b1eb57471 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Scaling Synthetic Data Creation with 1,000,000,000 Personas DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T01:06:07.964742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 6681f19c-668e-4764-9aab-1cf21dff7002 · inbound

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models cites this paper.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d6785153-bac2-49d4-bb66-7ce27142f9e0 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 173

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4c78b7e8-09e4-4b1b-ab35-0a80bf7224b2 · inbound

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models cites this paper.

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-22T19:01:57.809507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6ab87079-812a-4fd4-96c1-6ba54f8b0da8 · inbound

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models cites this paper.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5b18aa0c-f28e-4536-8598-07fa6a1e197f · inbound

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training cites this paper.

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-19T01:51:57.872811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4201e59c-c7e9-43b3-b835-7556fe4a9dac · inbound

DiscussLLM: Teaching Large Language Models When to Speak cites this paper.

DiscussLLM: Teaching Large Language Models When to Speak Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:10:42.309144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e135bbac-9535-4d6b-ad29-f91497864662 · inbound

PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions cites this paper.

PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T22:24:42.425486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29c26475-3d34-4bcc-8a68-025dfb8c14ac · inbound

SafeSearch: Automated Red-Teaming of LLM-Based Search Agents cites this paper.

SafeSearch: Automated Red-Teaming of LLM-Based Search Agents Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:49.646148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6203da6-5f4c-4682-87e2-4dd881572d55 · inbound

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs cites this paper.

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T10:26:10.742274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fe0745c-5eb8-4809-bd3c-4ebdc3cfbe48 · inbound

Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models cites this paper.

Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:20:27.782409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3ea5326-418d-4b40-a7ca-f94597f04329 · inbound

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation cites this paper.

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:19.299709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb044c02-ebe6-4fe3-a145-ad040bc2a053 · inbound

Enhancing Diversity of LLM-Generated Educational Tasks cites this paper.

Enhancing Diversity of LLM-Generated Educational Tasks Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T13:38:44.519215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8094486-1029-441b-a8c2-1866168bbebe · inbound

Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning cites this paper.

Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-21T14:04:11.894069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e73e183-cabb-4450-ac9f-cc1bc4f1de11 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:12.004920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3cf075b-86b6-49f4-8464-430c4b889e5e · inbound

Synthetic Interaction Data for Scalable Personalization in Large Language Models cites this paper.

Synthetic Interaction Data for Scalable Personalization in Large Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T23:53:01.051590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f5f7af-6802-4b69-9537-ef53c120b5bd · inbound

Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing cites this paper.

Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 46cb934c-e54d-4e2b-8312-b7f52442b861 · inbound

Opal: Private Memory for Personal AI cites this paper.

Opal: Private Memory for Personal AI Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e4cd8f29-0e3a-40ec-a43f-f9392fd8bb24 · inbound

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding cites this paper.

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 81fd992b-0e34-427a-89f0-c2be7ad79168 · inbound

SensorPersona: An LLM-Empowered System for Continual Persona Extraction from Longitudinal Mobile Sensor Streams cites this paper.

SensorPersona: An LLM-Empowered System for Continual Persona Extraction from Longitudinal Mobile Sensor Streams Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1419206a-e062-43e1-ba23-154244cb423b · inbound

MolmoWeb: Open Visual Web Agent and Open Data for the Open Web cites this paper.

MolmoWeb: Open Visual Web Agent and Open Data for the Open Web Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4e8e1731-03b8-4779-8fa5-82ee9ab98b8a · inbound

Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models cites this paper.

Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 15e9ee39-a79d-49df-8528-0a3ca7819958 · inbound

PersonaVLM: Long-Term Personalized Multimodal LLMs cites this paper.

PersonaVLM: Long-Term Personalized Multimodal LLMs Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5b2dde8d-8a8d-49da-be26-f936913a66c1 · inbound

C-Mining: Unsupervised Discovery of Seeds for Cultural Data Synthesis via Geometric Misalignment cites this paper.

C-Mining: Unsupervised Discovery of Seeds for Cultural Data Synthesis via Geometric Misalignment Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f7d8027-2bcd-45ec-bc22-27608bd2cbce · inbound

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models cites this paper.

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30487319-1ea2-4bae-89bb-36a4d78cead6 · inbound

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems cites this paper.

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation df269eda-67cb-4254-ab5e-ed4a05930d0a · inbound

DRIP-R: A Benchmark for Decision-Making and Reasoning Under Real-World Policy Ambiguity in the Retail Domain cites this paper.

DRIP-R: A Benchmark for Decision-Making and Reasoning Under Real-World Policy Ambiguity in the Retail Domain Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a0e6fba-c3c9-4a8c-a369-96ea774e7c20 · inbound

UserGPT Technical Report cites this paper.

UserGPT Technical Report Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6bb0310a-56d3-4bf1-9bcf-ee7f1aac9d6e · inbound

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents cites this paper.

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 60c44765-f7d1-45cd-acce-451c152a8f74 · inbound

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents cites this paper.

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 028d9d72-a45b-4cff-8f03-4e295234ab8a · inbound

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents cites this paper.

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2fdc7cf3-434f-4d61-b2df-e2e0e80f69b7 · inbound

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants cites this paper.

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dc8dbb9d-f663-496b-8c10-49a5b51a571c · inbound

Beyond Cooperative Simulators: Generating Realistic User Personas for Robust Evaluation of LLM Agents cites this paper.

Beyond Cooperative Simulators: Generating Realistic User Personas for Robust Evaluation of LLM Agents Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.809567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b444fac8-5ebf-4b38-b6eb-a17f6ac10a7f · inbound

Terminal-World: Scaling Terminal-Agent Environments via Agent Skills cites this paper.

Terminal-World: Scaling Terminal-Agent Environments via Agent Skills Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:54:35.815250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2dbd1c1c-dd4f-400d-9708-2266eb49206e · inbound

Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth cites this paper.

Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:04:39.022762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e15ef9f5-fccb-4cf4-b287-52398e463bb4 · inbound

Simulating Human Memory with Language Models cites this paper.

Simulating Human Memory with Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:04:00.318452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed2660eb-aa86-4444-a15b-e0f4c351a8a7 · inbound

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges cites this paper.

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:13:59.407908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10d70c7d-e17a-48db-822b-86b75ab1d859 · inbound

Personal Visual Memory from Explicit and Implicit Evidence cites this paper.

Personal Visual Memory from Explicit and Implicit Evidence Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-29T12:43:25.427765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3dcb5c2f-6afd-4f98-b934-09f553f0b761 · inbound

HEART-Bench: Do LLM Agents Exhibit Human-like Psychology? cites this paper.

HEART-Bench: Do LLM Agents Exhibit Human-like Psychology? Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:23:12.808699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a929e5a6-9e8d-418a-ac40-fa27115d136d · inbound

Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanisms cites this paper.

Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanisms Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:32:53.172356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2f3e26ed-c5f6-45b8-bf7b-42c69ef23b23 · inbound

Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit cites this paper.

Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:23:12.706660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d9f6851a-e2c2-4b50-8466-e4e9318fd2dc · inbound

GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing cites this paper.

GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-06-28T17:52:26.535763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bd659e4-fe25-4360-b389-5b52ea14fdef · inbound

Enhancing LLM Metacognition via Cognitive Pairwise Training cites this paper.

Enhancing LLM Metacognition via Cognitive Pairwise Training Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:02:33.900775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bce990d5-8bfc-4d51-9028-8017f6fec5e2 · inbound

RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents cites this paper.

RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:46:20.041422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d4e6e580-c810-4ece-8e4e-6abb5860b802 · inbound

AutoBG: A Board Game Design Assistant with Interactive Ideation, Iterative Rulebook Generation, and Individualized Feedback cites this paper.

AutoBG: A Board Game Design Assistant with Interactive Ideation, Iterative Rulebook Generation, and Individualized Feedback Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T00:56:25.298093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3021555f-dcda-4e6d-ae33-a9417450654d · inbound

Scaling Agentic Capabilities via Grounded Interaction Synthesis cites this paper.

Scaling Agentic Capabilities via Grounded Interaction Synthesis Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-28T15:12:18.670221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee1875f6-8f01-4832-9451-810c39caf7d9 · inbound

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization cites this paper.

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 93

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:56:20.455973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12d1daaa-bfde-4b68-bd61-24bcbc61eb15 · inbound

VidMsg: A Benchmark for Implicit Message Inference in Short Videos cites this paper.

VidMsg: A Benchmark for Implicit Message Inference in Short Videos Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:06:29.020642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ae4aba05-b0f3-4fed-83ae-a8220120f40b · inbound

SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice cites this paper.

SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-02T05:46:41.070794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b1bde8e8-ddf8-4017-ba44-365b0c1c0438 · inbound

ZIPP:Zero-shot Image Personalization from Personas cites this paper.

ZIPP:Zero-shot Image Personalization from Personas Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T23:27:27.965202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5207e9cd-a3b4-4f71-90df-4174ca437ee5 · inbound

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs cites this paper.

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 46

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T01:07:30.287835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 062113dc-2e32-4d43-ae90-ee560cb0ee85 · inbound

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication cites this paper.

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:05:00.229554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6dc52b19-58e3-48b0-a065-2335919f37a0 · inbound

Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior cites this paper.

Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-03T11:18:03.739962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e3ac820-679b-4ef8-9a86-f691ef50b849 · inbound

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments cites this paper.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-03T15:28:34.406759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bcd4766-166c-4054-a139-6fbb5f9fbcd1 · inbound

How Well Do Large Language Models Capture Human Personality? cites this paper.

How Well Do Large Language Models Capture Human Personality? Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:05:46.457757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ca285ca4-b445-4e44-8b0f-25d651bd244f · inbound

Creating Multilingual Mental Health Dialogue Datasets: Limits of Persona-Based Localization via Nationality and Language cites this paper.

Creating Multilingual Mental Health Dialogue Datasets: Limits of Persona-Based Localization via Nationality and Language Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-06-26T20:29:57.481501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e7dcb06f-7848-486d-94e1-5aeae753cb1a · inbound

The Significance of Style Diversity in Annotation-Free Synthetic Data Generation cites this paper.

The Significance of Style Diversity in Annotation-Free Synthetic Data Generation Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:19:30.637083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e9b09111-a562-4ffa-a2b3-7a11caefe5e5 · inbound

Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data cites this paper.

Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:34:18.541736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d04e9c7-26e8-4a1f-b10b-7772bbc01239 · inbound

Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data cites this paper.

Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-01T07:05:27.441665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d2f2137d-ac20-48ea-8e71-b399d8840290 · inbound

When Does Generating More Help? Disentangling Fixed-Source Synthesis from Source Expansion in Synthetic Data Scaling cites this paper.

When Does Generating More Help? Disentangling Fixed-Source Synthesis from Source Expansion in Synthetic Data Scaling Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T15:28:33.815702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3308365-28e4-4d31-8cde-7ce2408f14d0 · inbound

A Scalable Approach to Evaluating Moral Sensitivity in LLMs cites this paper.

A Scalable Approach to Evaluating Moral Sensitivity in LLMs Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 98

Resolution: unresolved; no resolver link, observed 2026-07-12T05:44:33.099337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a438e36-0e83-4d7c-8070-751240fcdc1f · inbound

Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document Synthesis cites this paper.

Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document Synthesis Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-11T16:02:00.920066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a36032-4b82-4c48-92a5-445426993370 · inbound

Synthetic Consumer Insight Generation with Large Language Models cites this paper.

Synthetic Consumer Insight Generation with Large Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-11T02:27:47.641300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 192fd6ce-ceb3-412b-99bd-c6547b65e256 · inbound

Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging cites this paper.

Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T11:49:31.595873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83084c80-54b0-4d26-897d-9c05356fcc34 · inbound

Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging cites this paper.

Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T07:20:35.191658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81029224-b9b0-4199-a72a-13566746d629 · inbound

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models cites this paper.

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 133

Resolution: unresolved; no resolver link, observed 2026-08-01T23:43:18.659490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12537a41-d23c-4f5a-ba9a-b0ba4af3a73c · inbound

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL cites this paper.

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T14:50:11.096699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb9838b7-5ef4-4a22-b790-961661f07fec · inbound

More Is Not More: What Matters for Diversity in LLM Opinions? cites this paper.

More Is Not More: What Matters for Diversity in LLM Opinions? Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T14:33:32.207950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c999e900-e83e-4823-9e9e-16598178dec7 · inbound

PersonaTrail: Benchmarking Personalized Web Agents through Browsing Trails cites this paper.

PersonaTrail: Benchmarking Personalized Web Agents through Browsing Trails Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T12:43:06.781115Z

Source-reported events for the cited work

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Observation e6f1fdf6-ac2d-4467-938a-a90226758841 · inbound

AIR-BENCH Live: An Evolving Safety Benchmark for Foundation Models cites this paper.

AIR-BENCH Live: An Evolving Safety Benchmark for Foundation Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T08:30:03.086317Z

Source-reported events for the cited work

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Observation 64541786-994b-4dd2-9e61-723b495f2370 · inbound

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs cites this paper.

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T08:29:25.281882Z

Source-reported events for the cited work

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Observation 8919fb3b-845c-4e3a-9c9e-a991121bcb0c · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 282

Resolution: unresolved; no resolver link, observed 2026-08-03T00:55:41.850618Z

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Observation c2a468a7-ac07-476b-b897-1796092ef27a · inbound

Best Friends, Not Forever: Evaluating Long-Horizon Persona Collapse and Behavioral Drift in AI Companions cites this paper.

Best Friends, Not Forever: Evaluating Long-Horizon Persona Collapse and Behavioral Drift in AI Companions Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-03T00:22:46.381946Z

Source-reported events for the cited work

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Observation 493e73ab-5ded-4324-9b6e-dcc707e9239e · inbound

MemoryForge: Synthesize Lifelong Memory for Human-Like LLM Agents cites this paper.

MemoryForge: Synthesize Lifelong Memory for Human-Like LLM Agents Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T02:49:04.839414Z

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Observation 3f90f562-4730-4199-974f-fe5e34d900dd · inbound

Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions cites this paper.

Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T06:17:17.123404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.