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Paper Citation Record · LEDGER

A Survey on Data Synthesis and Augmentation for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:41:10.897835Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T21:32:18.491541Z digest=sha256:72bebcba52ad16d9eb7e38f69b09e475455742a67703732f5f5c7b94ab0b74e1

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

Resolution
unresolved
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:ed172afe82931f33d78402b1411664081c88fb20130d62a0a7d5813e8511c8e8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:11.851642Z digest=sha256:3ffc5a46d2c8e6fab87927efdc2f79995fad1d101d71f88348bcee4a7caa68a3

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

Resolution
unresolved
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=sha256:0694ba4a9931a20dcd3d1475e2e85b8a93dc0011464d48e7debead221c487b12

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

Resolution
unresolved
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=sha256:0f5fbce94dc7720e18757c3d2d03464403606cb0db99c29fab701bac2dabcfad

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

Resolution
unresolved
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:b412b5b4d2b9c2283e2e60c3986541f2b42313b006092022790f424434e60f0d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:57.819771Z digest=sha256:7c71e9dbe0ff780cd122119283b3ca8c3889298285b3ee096fe49b4992d8784d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:35.791398Z digest=sha256:0556295f973a065387a5173778705edde7ee6bdf8f7ab024f359da0ef977ead5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:51:54.304590Z digest=sha256:35c133b70ea0ed091b70228c4c2fba9ea668cd197ce0b3ce4cf4c30148e6f7c2

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

Resolution
unresolved
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=sha256:54e1556238d5179352daa16dbe9d9cdc542c4b73a45d09ac4ec8886fcb53e841

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T04:04:52.235611Z digest=sha256:5f8e0cecd0220960bd50ad866b1371e2db94c75c439130902879d31343a3702e

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

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

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T02:34:25.467508Z digest=sha256:6112726e1dd4c2ac9cdef689307e05ad08c30d05b19b113c764f8060e3cd70d1

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T14:42:38.961728Z digest=sha256:13241c9fea8a0deb037c08ce08df74669cefaf021c275424f1a06a532ade5171

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T20:27:41.561992Z digest=sha256:2c61fe616af3ac27bb6509bf58959564afc79ee6931d62a2a4a31e57176d1efa

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

Resolution
unresolved
no resolver link, observed 2026-08-07T19:41:10.897835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:41:10.897835Z digest=sha256:fac9aee7b19005936552749a6aed4f1a7d08589a61178283e7deb285a1876d5b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:46.455584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:46.455584Z digest=sha256:d191c6f008c8191590aa2be0cc1c2cf21f9189fea1b357aa75ddbd2fe361d2e3