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Paper Citation Record · LEDGER

A Survey on Data Synthesis and Augmentation for Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:17.069804Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T21:32:18.491541Z digest=sha256:468861c4305ac682efe24f9fcd34af80ce1940d619e065cac6e81ec142e38d15

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=sha256:43b9e44c3f801cb5f9fcfe960b4fcd24128d855e4d0ea1be756917e9862cf1a9

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:f005cf3ac8e3cd058cf0093e9055e13c07fe586c3e54c975d8c6864607841843

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:c0953455797b9d50db6cba8c9edbe4d65bc505dc96c5c2b7db3b5b84633caa51

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=sha256:535f62323651b299ef2edc3d23004dad3b86bb864f2ab8da37ba1889b2df9dc2

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:be93f65393f9d6a2d35b7608b2412d7603764bb165a370c1a9d24a431f181fde

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=sha256:29d22d682b33b318c50e5d2c67288d7769a57f2b30302b0aec0b26d06a16cd72

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T04:04:52.235611Z digest=sha256:832663bea0da66ff5a83bfe56f01c3d2642e059d8bcaec951085a07d7aacf178

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T02:34:25.467508Z digest=sha256:c508be422faee8b96644749b21d7a4c66696181b13632bf347b701f7556e4dc3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T14:42:38.961728Z digest=sha256:ed5943616caf65a13eb9095c7e25fc1c751e0a38714b4d9a8e84bd6ad7a7d33c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T20:27:41.561992Z digest=sha256:494f0ffea9aee68c1e900c795da05fb766406804afa49d2d2b6b5c4e2bf61ca0

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=sha256:61f05efec242ca089f45f311b16f4c5392fadfdbdef674aa43bc3e6620c2355c