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Paper Citation Record · LEDGER

Datasets for Large Language Models: A Comprehensive Survey

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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 26 of 26 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 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:41:18.185021Z

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 bde182f8-6e4d-45d2-9792-87174f3d41e5 · inbound

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit cites this paper.

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit Datasets for Large Language Models: A Comprehensive Survey

Reference 15

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no resolver link, observed 2026-08-12T19:19:26.182568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:19:26.182568Z digest=sha256:e728f0dcf5d6de782b13137dab7e1ef2c4fad4a7a3817100dc730257c9a757ea

Observation 37096026-1430-4e0c-8202-edc335fd51ae · inbound

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models cites this paper.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Datasets for Large Language Models: A Comprehensive Survey

Reference 32

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no resolver link, observed 2026-08-12T18:45:47.396379Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T18:45:47.396379Z digest=sha256:6dc9689faf578383376360ab7ec126be9959011aa90600f005168027616f41ed

Observation 7a8c8464-9397-4590-8b2f-ebe09aac644a · inbound

The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language Models cites this paper.

The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language Models Datasets for Large Language Models: A Comprehensive Survey

Reference 19

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no resolver link, observed 2026-08-12T18:38:43.098382Z

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source=pdf_text observed=2026-08-12T18:38:43.098382Z digest=sha256:2819fcd265439f2059993e7f8e77be1bea38b7aa52a3bc40bed2d4d01c267cb3

Observation c559843d-eaf5-413d-ae19-1eff19b3393c · inbound

Bridging the Data Provenance Gap Across Text, Speech and Video cites this paper.

Bridging the Data Provenance Gap Across Text, Speech and Video Datasets for Large Language Models: A Comprehensive Survey

Reference 121

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no resolver link, observed 2026-08-11T12:18:39.961535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:18:39.961535Z digest=sha256:e1440f9193edf8e178bfba106602b58dbbe51f4d7ecb1de6ddc5ed6979041c05

Observation f6f7a61d-d110-4dfb-8981-b4d102c201da · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy Datasets for Large Language Models: A Comprehensive Survey

Reference 124

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no resolver link, observed 2026-08-10T20:05:12.377976Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T20:05:12.377976Z digest=sha256:795fcb9c0ffcd01b88d7018c364d69446984e069c7a87871cc2948a5e7ce7b09

Observation d354c131-d701-4f71-a595-08ddb7f45075 · inbound

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models cites this paper.

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models Datasets for Large Language Models: A Comprehensive Survey

Reference 20

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no resolver link, observed 2026-08-10T14:47:38.152156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:47:38.152156Z digest=sha256:d0a6c39b3a7aceb2d0445b2372b249a01168a59a714339cb1ab1ce65de3c0232

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T04:27:59.317818Z digest=sha256:73e10e80465bed551aa7248401af68d7d4839ccb654b4c4dec19472e90a30a37

Observation ac64cc88-99a0-4ef1-adf8-3d649ac56c7a · inbound

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes cites this paper.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes Datasets for Large Language Models: A Comprehensive Survey

Reference 7

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no resolver link, observed 2026-08-15T23:41:18.185021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:18.185021Z digest=sha256:c34ba95bf505161b475a0490a76d273c380815d6e35b8f789036c7cdcc0e9fa3

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=sha256:01860383d684ec04ea201de2fa76272b689bf2b06c5807ca820f146bf843667c

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=sha256:2b8ae2d8d0108100e6afbed7763b94015b1b0617e43b186658751f11f0ff5d05

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:a3119581373d5a8e14ba4e4502a5334047947ae8f4773af2d925853c629bf4e0

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=sha256:870151fdbb3222f540e94794ca076bedb356fe796fbebc4ab4713f37afd2eab3

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=sha256:5ed3ead7c9c0ec96fc09ac3a2bcd07a21c8201f77834014dc04cac8156e0e08b

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:c59c3a2e0d93d6bcf34e32550e05fd03de77c8b58d1ae8c4d294c5564f4f04f8

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 2026-08-15T18:53:32.564280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:53:32.564280Z digest=sha256:c084c916d12e3874ebd6bd0ba5660d2574b8a79f9c7159490a4972dd747725dc

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

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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:aad08b8846025e8bf64a457c63a9b59134a3855e15ebb30827597d211abd98d0

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=sha256:6ecf27a5c90e83a7c2adda71b332992a855277c7cdb13e3d93500be46ad663b7

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:15:20.243366Z digest=sha256:33a84a92182199e6df888173a506b8bec51599b1d8250e46cb871fb5e41717b0

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:55:44.707849Z digest=sha256:c6c0ffb8089d4555221dc4c67c9ac01c7aaaa53a9895e040bd838990aa852145

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T02:44:55.161515Z digest=sha256:3d4b841161c4696bf4dd6bd8e142eb18d3b4794dd02575dd2ad0fd34db9c121a

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T03:39:30.528601Z digest=sha256:d7c312bd23340be3c715fb3d244d579b435ebd88db366c874507a9f88fc1f1c5

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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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T17:37:51.790000Z digest=sha256:15853b8687e127f8c93be0804bcdc2157c4bd0c37669ff94f1827c290a71a956

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

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

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:63c711b7edbd329eac439bfaad4e577391a545da6fe30fae08a0840a50abd34d

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:28:29.454905Z digest=sha256:90853a2f2bd3167d856dbcaf68fcd155838729de47e7c85dd1896ffc32e8c952

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:ca89d56305d6abaf0ae1540bde4ac6683a0f739ebd1046019af58f0cce5ef17b

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:47.881669Z digest=sha256:e59b0726c1731ac253093e49dfbc29eee66b3a595850aba61de2a998cc61b783