Paper Citation Record · LEDGER

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2402.13064.

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

pith.paper-citation-record.v1
2402.13064 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:11.425233Z

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

6
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 31ef5c27-e38c-409e-ae2b-784d33696889 · inbound

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing cites this paper.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:58:36.867815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a5363019-76b0-4106-b145-e2e8ab7505a6 · inbound

On Domain-Adaptive Post-Training for Multimodal Large Language Models cites this paper.

On Domain-Adaptive Post-Training for Multimodal Large Language Models Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:46.767437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75b51781-c29e-4c73-9188-0be6463c098a · inbound

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models cites this paper.

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T23:15:28.658554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e7064a-9418-43f8-a26a-526b3c3c1011 · inbound

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs cites this paper.

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T13:19:18.856098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65dee9d3-2a82-4d66-97b0-c95bde10bdf5 · inbound

Error-driven Data-efficient Large Multimodal Model Tuning cites this paper.

Error-driven Data-efficient Large Multimodal Model Tuning Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:32.254372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad0bbefc-fcc4-4f1d-9528-452f1ee06d59 · inbound

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval cites this paper.

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T05:44:00.074605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6658b62d-5d68-4546-95a3-41aced3d8cd2 · inbound

Dynamic Skill Adaptation for Large Language Models cites this paper.

Dynamic Skill Adaptation for Large Language Models Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:46.160435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad83ca62-2faf-4322-a6ce-f1663ac1092c · inbound

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory cites this paper.

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:44:16.961286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc3e0641-29de-4be8-840d-f60605e50ff6 · inbound

OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas cites this paper.

OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:24.299738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eb51fd3-ac6b-4258-a53e-044a59a13164 · inbound

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation cites this paper.

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T17:09:15.310446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88bc9405-a1a7-4593-9702-1da4fb289031 · inbound

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis cites this paper.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T00:35:28.348980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7204a90f-386b-4166-93dd-62ddf431492e · inbound

BitNet b1.58 2B4T Technical Report cites this paper.

BitNet b1.58 2B4T Technical Report Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:11.425233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2006ae02-6ebc-4302-bcd2-01a55b8db215 · inbound

Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction cites this paper.

Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:25:39.036534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a04222cf-3500-4a2b-9b50-43e16e5584c2 · inbound

Not All Documents Are What You Need for Extracting Instruction Tuning Data cites this paper.

Not All Documents Are What You Need for Extracting Instruction Tuning Data Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:13.814947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe56072-f9ae-47de-be6a-3ad2ccabe180 · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:06.387394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 704475c2-887a-4818-b96d-c4cba4812de1 · inbound

From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition cites this paper.

From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:56.193027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec0fa2b8-00f5-47c1-92a2-f2e344fc4838 · inbound

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions cites this paper.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:01.395403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b790690c-61ee-415c-9f9a-b3c4f5c578f9 · inbound

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

A Survey of LLM $\times$ DATA Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 233

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:13.339084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb59c4d-3e81-407a-8581-e3209625dafb · inbound

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

Towards Efficient and Effective Alignment of Large Language Models Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:42.739229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cd5493f-36d7-4ae2-8303-85f2a30d3ae6 · inbound

ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data cites this paper.

ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:08.835776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c64e082-2e08-45e6-9d38-ef2059504d45 · inbound

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations cites this paper.

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:46:27.777433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c95821-9801-48c7-af24-261acf5f0d59 · inbound

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation cites this paper.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:28.168263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d0b2850-2a9e-456a-98cc-6f8d8e6047de · inbound

Dynamic Context Evolution for Scalable Synthetic Data Generation cites this paper.

Dynamic Context Evolution for Scalable Synthetic Data Generation Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:49.278427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb9bc8b7-9e48-47fb-95fe-e9f26490fb67 · inbound

SkillGen: Verified Inference-Time Agent Skill Synthesis cites this paper.

SkillGen: Verified Inference-Time Agent Skill Synthesis Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:17:23.031201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 96a6c1b8-71c8-4d23-ac3a-2d140935a916 · inbound

Natural Language Access Control (NLAC): From Help Desk Requests to Structured Policies cites this paper.

Natural Language Access Control (NLAC): From Help Desk Requests to Structured Policies Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-27T23:11:23.350215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f1225e66-6fc0-42f7-b2a3-e2e141698b3a · inbound

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs cites this paper.

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T03:19:10.315673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 751755c6-17ab-4f26-bf4f-a0fe7c843f44 · inbound

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs cites this paper.

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T01:44:29.310845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c5d5b0-4ade-4836-ac70-db729f8f6741 · inbound

GLAN-QnA-KR: A Seedless Taxonomy-Driven Korean Instruction Corpus cites this paper.

GLAN-QnA-KR: A Seedless Taxonomy-Driven Korean Instruction Corpus Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T14:15:04.912225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5bc8b1f-e35b-47da-ac07-0b7270d488f7 · inbound

Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design cites this paper.

Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T08:09:44.836796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a521d71-510a-40a0-b92c-d0ab076ca402 · inbound

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs cites this paper.

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T08:29:25.473575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.