Paper Citation Record · LEDGER

Instruction Mining: Instruction Data Selection for Tuning Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2307.06290.

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

pith.paper-citation-record.v1
2307.06290 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:07:08.294764Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:49:17.695166Z

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 42bb65dc-b14d-4987-9e6b-99e210376ade · inbound

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets cites this paper.

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:14:10.175046Z

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.

Observation d84fe3e4-cad7-4bb8-9fc6-41793cf5e71c · inbound

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models cites this paper.

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T14:21:16.542943Z

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.

Observation 9b416675-eaf6-433e-b784-3d726aaf998a · inbound

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering cites this paper.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T13:07:08.294764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee8b96bc-0712-46a4-a494-6b2c784d719b · inbound

Measuring Diversity in Synthetic Datasets cites this paper.

Measuring Diversity in Synthetic Datasets Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T04:54:50.582249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fe5805a-6445-47aa-b221-09d44d6ab5f2 · inbound

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples cites this paper.

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T11:57:11.728183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 663ff74e-816e-4d2d-b2e6-29d3f9ee6239 · inbound

AutoSpatial: Visual-Language Reasoning for Social Robot Navigation through Efficient Spatial Reasoning Learning cites this paper.

AutoSpatial: Visual-Language Reasoning for Social Robot Navigation through Efficient Spatial Reasoning Learning Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:27:17.816053Z

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.

Observation 19e4d153-5cdb-476e-96c9-1d8cd985172b · inbound

Merge to Mix: Mixing Datasets via Model Merging cites this paper.

Merge to Mix: Mixing Datasets via Model Merging Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:33.588670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11863cfa-4401-49d1-bde0-355e87d328c5 · inbound

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks cites this paper.

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:32.633147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16e7db2c-f332-4fa9-bbe5-5e83e1d9133f · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:12.899936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99126653-6042-4339-a9fe-071207acb0c2 · inbound

TAG-INSTRUCT: Controlled Instruction Complexity Enhancement through Structure-based Augmentation cites this paper.

TAG-INSTRUCT: Controlled Instruction Complexity Enhancement through Structure-based Augmentation Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:13.530356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4553c525-29a0-4827-8eaf-0364a95e7b86 · inbound

Efficient Data Selection at Scale via Influence Distillation cites this paper.

Efficient Data Selection at Scale via Influence Distillation Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:21.464252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e9f62e-708f-4c21-84bc-ea1c79d19ced · inbound

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation cites this paper.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:29.600015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcf1a6d7-877f-4d33-8226-a98385e3554e · inbound

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

Towards Efficient and Effective Alignment of Large Language Models Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:35.093796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08b7ce6f-70e8-4e2e-a172-63c699e58f94 · inbound

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs cites this paper.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:37:06.226403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f4c6a3d-937d-4a27-aa13-7b627447d7d4 · inbound

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods cites this paper.

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:11:53.337299Z

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.

Observation c5140b54-8b76-4bc2-b6de-0770784267e3 · inbound

Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training cites this paper.

Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:05:56.776981Z

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.

Observation 8fb8b7cc-7eab-476a-8ced-be9e00067922 · inbound

HARP: Efficient Data Selection for Finetuning Large Language Models cites this paper.

HARP: Efficient Data Selection for Finetuning Large Language Models Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:17:09.376334Z

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.

Observation 23a3e80d-cb90-470b-b2e4-916a38cdbe6e · inbound

OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework cites this paper.

OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:07:27.187260Z

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.

Observation c43ee3e2-8d64-4b29-9e90-8c920ad234a8 · inbound

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates cites this paper.

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:49:17.697551Z

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.

Observation fbf07f84-e4e4-41be-85f1-9f0fef4c3c2c · inbound

SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement cites this paper.

SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T13:54:03.003356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.