Paper Citation Record · LEDGER

A Survey on Data Selection for LLM Instruction Tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2402.05123.

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

pith.paper-citation-record.v1
2402.05123 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:37:32.617303Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T00:15:22.234678Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 e0273945-7a8e-44f9-9e4b-474c4a3e9f98 · inbound

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination cites this paper.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination A Survey on Data Selection for LLM Instruction Tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T10:37:32.617303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c0f8f1e-e8aa-4d0d-b9f2-7e4ad1597f3e · inbound

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion cites this paper.

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion A Survey on Data Selection for LLM Instruction Tuning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T19:51:53.642807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce9f9e8-910d-4211-83fe-b707cfe50a7c · inbound

LLMs can be easily Confused by Instructional Distractions cites this paper.

LLMs can be easily Confused by Instructional Distractions A Survey on Data Selection for LLM Instruction Tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T10:50:12.499614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c242670-20b1-45ee-bf32-b634cd91abe6 · inbound

Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors cites this paper.

Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors A Survey on Data Selection for LLM Instruction Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T10:07:33.802787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 959eb4be-6b05-4779-8155-b25091b2c030 · inbound

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities cites this paper.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities A Survey on Data Selection for LLM Instruction Tuning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:23.198327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2090164-fdb4-4e7a-b837-1543fb21ac2f · inbound

ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation cites this paper.

ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation A Survey on Data Selection for LLM Instruction Tuning

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:29.527627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fdc6f74-750c-4b53-9f05-cab4f4998de2 · inbound

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems cites this paper.

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems A Survey on Data Selection for LLM Instruction Tuning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:21.880845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03076de3-2125-4495-950a-34cb7bf559dd · inbound

Towards Efficient and Effective Alignment of Large Language Models cites this paper.

Towards Efficient and Effective Alignment of Large Language Models A Survey on Data Selection for LLM Instruction Tuning

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:43.048278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf73bab8-6827-4129-9f85-04c93f5784a6 · inbound

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing cites this paper.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing A Survey on Data Selection for LLM Instruction Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.490902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3afcc84e-8dac-4d38-8c70-2f79f03afed4 · inbound

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation A Survey on Data Selection for LLM Instruction Tuning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T20:20:24.467176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1f0604-b540-4cfd-9f89-63e9f451c43c · inbound

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms cites this paper.

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms A Survey on Data Selection for LLM Instruction Tuning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T20:17:50.495923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c3ecc67-0956-4c43-8f94-9c5aad04ff93 · inbound

Execution-First Synthetic Tool-Use Trace Generation for LLM Agents cites this paper.

Execution-First Synthetic Tool-Use Trace Generation for LLM Agents A Survey on Data Selection for LLM Instruction Tuning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T12:17:57.718792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d99641cc-9417-41bb-8ad6-85981f927d0f · inbound

AgentSLABench: Evaluating and Benchmarking Agentic Systems Under Resource Constraints cites this paper.

AgentSLABench: Evaluating and Benchmarking Agentic Systems Under Resource Constraints A Survey on Data Selection for LLM Instruction Tuning

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T00:15:22.318352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.