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Paper Citation Record · LEDGER

A Survey on Data Synthesis and Augmentation for Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2410.12896.

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

pith.paper-citation-record.v1
2410.12896 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:11.725325Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1012f1fd-2c6e-4cb2-8a2b-4440191e488d · inbound

Libri2Vox Dataset: Target Speaker Extraction with Diverse Speaker Conditions and Synthetic Data cites this paper.

Libri2Vox Dataset: Target Speaker Extraction with Diverse Speaker Conditions and Synthetic Data A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 15

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no resolver link, observed 2026-08-11T14:05:25.763909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:05:25.763909Z digest=sha256:aa99bc73cf2527fb8f5cf709e8acd5a5161cc960b5b620f52b33373ac761f205

Observation e859848a-0697-438e-9d83-796f8abcac57 · inbound

Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs? cites this paper.

Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs? A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 10

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no resolver link, observed 2026-08-10T18:12:28.320658Z

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source=arxiv_source observed=2026-08-10T18:12:28.320658Z digest=sha256:bfea68f875bdc21c127fcb3452ed22ad757df0d00175653720d419b035477ce2

Observation 7aadc72c-cbde-4595-9497-b379dc9755cc · inbound

LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient cites this paper.

LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 31

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no resolver link, observed 2026-08-09T18:09:01.684146Z

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source=arxiv_source observed=2026-08-09T18:09:01.684146Z digest=sha256:ab1088799d69849c3cd6795ac60f4df79a83f06275d946e40e3b861575c630d5

Observation 431db1ac-08d7-402b-9b5a-6f5bfc55e239 · inbound

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks cites this paper.

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 47

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metadata mismatch
arxiv_id, observed 2026-05-17T21:32:18.672765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T21:32:18.491541Z digest=sha256:0be7b882e3c8503e954cc788db3211de649be2984296332631e5f7e994dde74f

Observation c00df57b-0cad-4a35-be9f-1f021a120b93 · inbound

Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderation cites this paper.

Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderation A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 25

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no resolver link, observed 2026-08-16T11:24:11.725325Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T11:24:11.725325Z digest=sha256:e58334cbd818d0f4078a46958dc2a216505d853f7e9a0efe2de8256837a01825

Observation 236a7645-6d36-4ce9-8694-5a71f38bd59b · inbound

SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding cites this paper.

SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 41

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no resolver link, observed 2026-08-16T05:09:15.184236Z

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source=pdf_text observed=2026-08-16T05:09:15.184236Z digest=sha256:80c421871193672d61ba61601e6ceda292154a41c65c485ef35778c4274530dc

Observation 7fb8257f-6e8f-4cf9-9e84-732a58e0a9f2 · inbound

A Data Synthesis Method Driven by Large Language Models for Proactive Mining of Implicit User Intentions in Tourism cites this paper.

A Data Synthesis Method Driven by Large Language Models for Proactive Mining of Implicit User Intentions in Tourism A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 19

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no resolver link, observed 2026-08-15T21:44:43.528362Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:44:43.528362Z digest=sha256:cc23f5c88c4a15388f0bc1843ddf6fa4cde701298d8ef38897f2eb30906ae425

Observation 8cccfaea-2286-48e9-8ddf-0d58f01c10eb · inbound

NeuroGen: Neural Network Parameter Generation via Large Language Models cites this paper.

NeuroGen: Neural Network Parameter Generation via Large Language Models A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 25

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no resolver link, observed 2026-08-15T20:38:49.268181Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:49.268181Z digest=sha256:d6f3463fadad342c5d400a9671ac3f8399f0881f0761db8c848b77238277ae6a

Observation 64c86754-50df-4891-8aef-b02381535abd · inbound

TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments cites this paper.

TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 33

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no resolver link, observed 2026-08-07T14:46:17.069804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:46:17.069804Z digest=sha256:590bb3a6c65e955ea5be003f1fca06ea7bd6019a5fff51bd37d34187491c71ae

Observation 94e2b848-9c79-478e-8da5-4af306d8d6fe · inbound

DocMEdit: Towards Document-Level Model Editing cites this paper.

DocMEdit: Towards Document-Level Model Editing A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 15

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no resolver link, observed 2026-08-07T14:15:11.851642Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:11.851642Z digest=sha256:a8c9815b558048189a3451cafef02490e387247661581ad84a48dd1bfeb1616b

Observation 12a817a1-34b2-46a4-a609-761c5e7dcc88 · inbound

HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices cites this paper.

HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 34

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no resolver link, observed 2026-08-07T14:13:45.557406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:13:45.557406Z digest=sha256:aabf1f05614b8972afe070f8d5890233c9b7befea6203242fa282868b05a6ff3

Observation 3cc3d38a-ae0b-4785-9c7d-2b0518032319 · inbound

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement cites this paper.

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 44

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no resolver link, observed 2026-08-07T14:14:23.666709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:23.666709Z digest=sha256:701a390cbc20714c9d6920842bd25f3702690df30a128b4ac0e9e30c8717755c

Observation 0957395e-f414-4683-ac82-dd25e4331329 · inbound

Infinite-Instruct: Synthesizing Scaling Code instruction Data with Bidirectional Synthesis and Static Verification cites this paper.

Infinite-Instruct: Synthesizing Scaling Code instruction Data with Bidirectional Synthesis and Static Verification A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 12

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no resolver link, observed 2026-08-07T12:56:26.110352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:56:26.110352Z digest=sha256:2089f69fb1289b3376802c98b5ed646871c77cc41d4b2544da434f34a6e7cf65

Observation 1a068ef6-1d52-40db-9df8-c600796e4845 · inbound

Explainable AI: XAI-Guided Context-Aware Data Augmentation cites this paper.

Explainable AI: XAI-Guided Context-Aware Data Augmentation A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 15

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no resolver link, observed 2026-08-07T11:05:57.819771Z

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source=pdf_text observed=2026-08-07T11:05:57.819771Z digest=sha256:7c6d4384b7b65b84af962045fb706016b8ce6b82be0aebce41c8df3c6a623bce

Observation 59767ec8-0ea4-49d7-934b-629c4656807e · inbound

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution cites this paper.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 38

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no resolver link, observed 2026-08-07T00:49:35.791398Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:35.791398Z digest=sha256:5f3f9910babcdc9cc529edc7ba785969e0d529bd36101dab7614b3eb6ac56b0c

Observation 3e008748-52c5-4b5c-910d-aa10a29987c1 · inbound

LLM-Based Config Synthesis requires Disambiguation cites this paper.

LLM-Based Config Synthesis requires Disambiguation A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 29

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no resolver link, observed 2026-08-06T16:51:54.304590Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:51:54.304590Z digest=sha256:ef9da5b00b82c91bec6f746082addadb088a5e0bc0110d5fcf4ca409a8686f32

Observation c74623fc-4807-4b81-add3-85acf387c553 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 221

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no resolver link, observed 2026-08-03T08:15:33.837215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:33.837215Z digest=sha256:a3155f1fea94f9fffe8ed5c6b6c7e6b8fda023753d63a8a378a66b955bc5cb84

Observation 8e5ac2a3-055f-42f7-a804-dd5db37390f2 · inbound

Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations cites this paper.

Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-10T04:09:57.342077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T04:04:52.235611Z digest=sha256:a91035e947b73a480742833b60fdab3f283d94e0d47709e4832dfb1a4742f7ed

Observation 7cfe0f37-9666-4312-96b9-69a0e42bb30f · inbound

VISHC at PsyDefDetect: Mitigating Data Scarcity in Psychological Defense Classification with Context-Aware Synthetic Augmentation cites this paper.

VISHC at PsyDefDetect: Mitigating Data Scarcity in Psychological Defense Classification with Context-Aware Synthetic Augmentation A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 35

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arxiv_id, observed 2026-05-15T02:39:41.686459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-15T02:34:25.467508Z digest=sha256:a31532b9a5d0fa1e284329e9e72846d6b30b1fb831c6b0db7bf0d7dd9bb1f4c8

Observation e739dd91-a0cf-463f-9a2f-5dab8ad294aa · inbound

Beyond Detection: A Structure-Aware Framework for Scene Text Tracking cites this paper.

Beyond Detection: A Structure-Aware Framework for Scene Text Tracking A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 11

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verified exact
arxiv_id, observed 2026-05-20T14:43:22.307476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T14:42:38.961728Z digest=sha256:ad9ad29a5036aaa91feb0187906d3081d7b9a2fb7d101870c6ea5de67cabddf0

Observation b80549a4-1376-4632-b011-8e427c33c589 · 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 A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 46

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verified exact
arxiv_id, observed 2026-06-26T20:29:57.506201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T20:27:41.561992Z digest=sha256:8c635d82177848a6f66a32adc8d2396b25e9841bdece2225a2d867db34afd22f

Observation 1c595b67-9bc9-4547-b1fb-48ba9a4ddf90 · inbound

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies cites this paper.

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 30

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source=pdf_text observed=2026-08-07T19:41:10.897835Z digest=sha256:39e2bf235130d4cb4ef0f270a73d22c7aeb254f1f9907e43af7af8bbbc6d5337

Observation 919e1f87-c865-416b-bbdc-754ac3009369 · inbound

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance cites this paper.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 205

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:46.455584Z digest=sha256:501dcb6bee899732cdb41a34cfd79139ecd4f20b17e8fb3d743fb9a37b9e38bb