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Paper Citation Record · LEDGER

Datasets for Large Language Models: A Comprehensive Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2402.18041.

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

pith.paper-citation-record.v1
2402.18041 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:43.774684Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:34.075914Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0f976c4b-981b-4d12-80a9-d981826a6eb3 · inbound

Distributional Statistics Restore Training Data Auditability in One-step Distilled Diffusion Models cites this paper.

Distributional Statistics Restore Training Data Auditability in One-step Distilled Diffusion Models Datasets for Large Language Models: A Comprehensive Survey

Reference 6

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verified exact
arxiv_id, observed 2026-05-23T04:32:34.080255Z

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=2026-05-23T04:27:59.317818Z digest=sha256:c722b922811fb932d8a323ee4f5701e72bf7adeb183cb7d2f5dd94407d35b6df

Observation fb1b238b-7c38-4c83-a1be-ad3ad378718b · inbound

AutoData: A Multi-Agent System for Open Web Data Collection cites this paper.

AutoData: A Multi-Agent System for Open Web Data Collection Datasets for Large Language Models: A Comprehensive Survey

Reference 24

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no resolver link, observed 2026-08-07T15:27:43.774684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:43.774684Z digest=sha256:aeb31f3d8242451787d02fb0daa12d8a57d8189cd0619055902f6dd8e5f3c27c

Observation cb92fe2c-4ac6-40ad-bdab-9b7a0f4eabff · inbound

Localizing Persona Representations in LLMs cites this paper.

Localizing Persona Representations in LLMs Datasets for Large Language Models: A Comprehensive Survey

Reference 20

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no resolver link, observed 2026-08-07T12:25:31.066357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:25:31.066357Z digest=sha256:ebd2321b9c2b7e2e7cb7154ec63adeff77ce0ddff9c2d673a4e66c6f0b668f21

Observation d0fe05dd-d75b-4337-905d-ca5461442db7 · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving Datasets for Large Language Models: A Comprehensive Survey

Reference 39

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no resolver link, observed 2026-08-07T12:11:04.838038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:04.838038Z digest=sha256:c09eb8abc0d245aa13f290e1cf03381bdbd9540281894f59bc2c6b83b3551487

Observation 375a210b-b22c-46b5-8869-9ae8426d6592 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Datasets for Large Language Models: A Comprehensive Survey

Reference 127

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no resolver link, observed 2026-08-07T05:33:55.977344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:55.977344Z digest=sha256:2d6be58ee2634c857cec9b5b6876faa551684e543d108fba7d8d4c871b4293cc

Observation 67619092-df70-44c0-b895-3063f98c542f · inbound

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training cites this paper.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Datasets for Large Language Models: A Comprehensive Survey

Reference 37

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no resolver link, observed 2026-08-07T04:55:42.760418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:55:42.760418Z digest=sha256:3fffa094ff048a1822d2070d06e31f94164dd631a8dc298637e1142f0be91547

Observation 77577b03-da1b-45f3-806a-ebeccf02e3a6 · inbound

A Conceptual Framework for AI Capability Evaluations cites this paper.

A Conceptual Framework for AI Capability Evaluations Datasets for Large Language Models: A Comprehensive Survey

Reference 53

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no resolver link, observed 2026-08-06T23:25:49.043762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:25:49.043762Z digest=sha256:f3293a3d51d10056302fac394d3a9f0ee3d62c327978b70e68bd2515ac175025

Observation b0584a03-dbc9-4e19-8ecd-92da544a51d2 · inbound

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction cites this paper.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Datasets for Large Language Models: A Comprehensive Survey

Reference 25

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no resolver link, observed 2026-08-06T23:21:49.646197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:21:49.646197Z digest=sha256:cb1c72b33244c637763233aa141f2ce4315e6877c8cabbaaf956082b1b0207f9

Observation 23baa925-f007-469d-8a7b-8759085cd13c · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Datasets for Large Language Models: A Comprehensive Survey

Reference 229

Resolution
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no resolver link, observed 2026-08-06T21:36:39.625714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:39.625714Z digest=sha256:eba1840a58b809d53a35b96214e60bb24f129360274f5d501d643d96dc5eaa0d

Observation 26501f17-f403-4565-861e-e1f530ac2be2 · inbound

Divergent Realities: A Comparative Analysis of Human Expert vs. Artificial Intelligence Based Generation and Evaluation of Treatment Plans in Dermatology cites this paper.

Divergent Realities: A Comparative Analysis of Human Expert vs. Artificial Intelligence Based Generation and Evaluation of Treatment Plans in Dermatology Datasets for Large Language Models: A Comprehensive Survey

Reference 8

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no resolver link, observed 2026-08-06T19:25:23.494844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:23.494844Z digest=sha256:c8ba2f719e0b6b8450abb4ad4eb823f68f5f9f723ec8fd35d90ebddab7cf6dd1

Observation ad3912c7-80c3-47f6-90b1-1d3898063494 · inbound

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework cites this paper.

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework Datasets for Large Language Models: A Comprehensive Survey

Reference 31

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no resolver link, observed 2026-08-06T15:15:20.243366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:15:20.243366Z digest=sha256:f968369f4a29e9c969e9750341b2cc7df15b08d13d838ae8c58551e15ec42ed0

Observation 33ce7cc0-72a5-41a7-867e-2bc3bb6b47e1 · inbound

Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy cites this paper.

Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy Datasets for Large Language Models: A Comprehensive Survey

Reference 101

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no resolver link, observed 2026-08-04T05:55:44.707849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:55:44.707849Z digest=sha256:ab0ca91d9b45ed39c920533a33796314c93ce0b1b493df64686d9aadc3428035

Observation b393873d-4cd6-40de-a4b4-4de49dc2909b · inbound

Malicious ML Model Detection by Learning Dynamic Behaviors cites this paper.

Malicious ML Model Detection by Learning Dynamic Behaviors Datasets for Large Language Models: A Comprehensive Survey

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:51:03.363201Z

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=2026-05-10T02:44:55.161515Z digest=sha256:4d586847b50a959296006086f097f7083c5982db30ea169e6adc096eac2f06aa

Observation bdea102a-4aa4-4a5e-acf9-e1b399d8214e · inbound

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator cites this paper.

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator Datasets for Large Language Models: A Comprehensive Survey

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:10.987371Z

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=2026-05-08T03:39:30.528601Z digest=sha256:f3dbe211c040e5762bd75c3c355335a47271bd949a8a5975698a383843508f14

Observation 86d40402-f96a-48bd-abc2-34c39d8544e4 · inbound

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code Datasets for Large Language Models: A Comprehensive Survey

Reference 76

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verified exact
arxiv_id, observed 2026-05-11T17:26:04.548339Z

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=2026-05-08T17:37:51.790000Z digest=sha256:698402147b16d506c798af2c358777c073e8c944f7ea373f49ea7aff2cb91013

Observation 08d6aad8-1c08-43e9-a6c2-f493cdb13f70 · inbound

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models cites this paper.

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models Datasets for Large Language Models: A Comprehensive Survey

Reference 27

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verified exact
arxiv_id, observed 2026-05-11T20:26:09.080186Z

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=2026-05-08T09:14:12.034025Z digest=sha256:60958ef593ba00a5493e2347f6b523ce241782c5a929f6cef9843578c69120a0

Observation e248ba49-07ae-47db-b062-3552b36a2e01 · inbound

Test-Time Scaling via Error Localization cites this paper.

Test-Time Scaling via Error Localization Datasets for Large Language Models: A Comprehensive Survey

Reference 115

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no resolver link, observed 2026-08-01T07:28:29.454905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:28:29.454905Z digest=sha256:557aaede73332fee551fa7c766aed201682fa3353b0218916111e691269b19c7

Observation f8b5e71b-1dc6-42ee-9796-81902c30e167 · inbound

Gaokerena: A Small Persian Medical Language Model Family cites this paper.

Gaokerena: A Small Persian Medical Language Model Family Datasets for Large Language Models: A Comprehensive Survey

Reference 13

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no resolver link, observed 2026-08-06T00:40:13.871444Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:13.871444Z digest=sha256:f9dabb57959c6a4f526d71c1c6c6bea6048b36a8efd1603c398225768682404b

Observation 62a5a337-ebd3-4d5c-93d6-aabf8366a5b3 · inbound

Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies cites this paper.

Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies Datasets for Large Language Models: A Comprehensive Survey

Reference 163

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no resolver link, observed 2026-08-06T14:54:47.881669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:47.881669Z digest=sha256:14498958718aac38e85d7dd41af8fd6b33e275f7522cd458743c3540beb7e67b