Paper Citation Record · LEDGER

AgentInstruct: Toward Generative Teaching with Agentic Flows

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2407.03502.

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

pith.paper-citation-record.v1
2407.03502 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:09:42.311893Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:40:08.264332Z

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 069de873-1c98-483a-9911-aabb3e2cdefa · inbound

Towards Agentic Schema Refinement cites this paper.

Towards Agentic Schema Refinement AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T12:49:18.487405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9968fb31-5f08-4fdb-a3ae-4f850efc3636 · inbound

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops cites this paper.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:25.739286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2888ad4e-50be-48ba-990a-1fe349f00bc8 · inbound

YuLan-Mini: An Open Data-efficient Language Model cites this paper.

YuLan-Mini: An Open Data-efficient Language Model AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T05:17:55.759885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5948b885-d6b8-4c0f-b801-935dfbbf4ec8 · inbound

MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning cites this paper.

MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 1989

Resolution: unresolved; no resolver link, observed 2026-08-10T22:23:27.651555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa34a44e-d5d8-4bdc-90d5-f24f3507ac33 · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:54:54.357292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b1786d7d-e41d-475a-b602-3ce9cdb4dece · inbound

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications cites this paper.

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T17:43:55.686565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f30d4d-343c-439f-8a42-8433b614696b · inbound

Reinforcement Learning for Long-Horizon Interactive LLM Agents cites this paper.

Reinforcement Learning for Long-Horizon Interactive LLM Agents AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T14:56:00.235295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 695a9699-9998-44c8-8152-01177c557360 · inbound

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews cites this paper.

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:59.894907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6b20d75-769c-4c46-a53b-29305c4a39d9 · inbound

InSTA: Towards Internet-Scale Training For Agents cites this paper.

InSTA: Towards Internet-Scale Training For Agents AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T14:24:50.373086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 811e4332-6656-44ec-8a7c-290a05bf95f4 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 146

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:57:38.533489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48bba3f0-f6db-4db6-a44c-0abcb5d01cab · inbound

Phi-4-reasoning Technical Report cites this paper.

Phi-4-reasoning Technical Report AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T03:40:25.813945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 970fcf8a-2d94-4044-827f-a062ffa69a16 · inbound

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment cites this paper.

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T21:09:42.311893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e98b56-9f7b-4417-83b5-8cd1d3ee0f6b · inbound

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

A Survey of LLM $\times$ DATA AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 290

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:13.517522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9f786b2-750d-4e48-89fa-f3f34afe33d8 · inbound

BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions cites this paper.

BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:19.722686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14312ea5-af76-4916-a670-132b28bc9122 · inbound

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models cites this paper.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:17.083688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f91095bb-1a38-46f8-9679-073ff4b04fe1 · inbound

ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research cites this paper.

ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:55.098172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86f324ff-dce0-4f29-85fe-010dabcc623e · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T17:49:28.027866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e961179f-1b73-489e-89b1-3ef57a6a2c4a · inbound

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback cites this paper.

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:40.145652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c2d880-2651-41c2-baaf-bf4aa58d19df · inbound

Hermes 4 Technical Report cites this paper.

Hermes 4 Technical Report AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:54.582008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6028b4a8-4a88-4342-a4a3-59af3a053aaa · inbound

MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use cites this paper.

MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:51.591964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5e3e960-4e0d-41d0-9749-913b1b1ad09f · inbound

Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint cites this paper.

Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T23:10:21.114223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4bc774-f885-4733-9f62-2e4ea04509fe · inbound

AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents cites this paper.

AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T21:44:12.372113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c91921b-3245-4e42-bbb4-1a1c7cc738e6 · inbound

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration cites this paper.

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:46:34.849668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 124327a7-78ca-47a5-a3eb-187acf68313c · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:11.675367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6cf61dc2-b540-4bd6-969d-0ae1d85070fa · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:21:19.146042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9f2d161-e331-48c7-b383-21d0c93a1030 · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.373824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 372df09b-5b1d-419b-b8df-fed808e9db03 · inbound

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents cites this paper.

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:26:26.298092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5a67c09a-9f26-4750-a904-baa7a1bf2ade · inbound

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents cites this paper.

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T13:55:46.342145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f2f95ae-8a70-4a94-9cb2-5ef3ae0a94db · inbound

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

SkillGen: Verified Inference-Time Agent Skill Synthesis AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:17:23.025078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5fcec6d2-a4c4-4eaa-a6f1-28798fb5649d · inbound

WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents cites this paper.

WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:26:23.124807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eeb250b6-5326-4205-9efe-5331b4d93bcb · inbound

WhiFlash: Accelerating Speculative Decoding with Token-Level Cross-Paradigm Routing cites this paper.

WhiFlash: Accelerating Speculative Decoding with Token-Level Cross-Paradigm Routing AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:09.230310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a40a763-9656-4c54-9964-699709451731 · inbound

Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning cites this paper.

Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:07:28.228865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 27fd5760-19b7-4dc1-96b1-23d9327346f4 · inbound

Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data Curation cites this paper.

Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data Curation AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:07:41.412109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d1b63b75-5c93-4719-9456-dce621888271 · inbound

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories cites this paper.

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:17:41.451179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91068e55-d3b7-48e9-87dd-51fcd13b7a75 · inbound

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories cites this paper.

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T18:06:15.668254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1c335f7-6144-4eb8-98c7-50aa59baff83 · inbound

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories cites this paper.

ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-15T10:51:49.150058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52000492-9c62-476b-ad32-7f6adc7bd944 · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:37.967644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 589ed5ba-18a8-4051-8db7-41a447a66675 · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-04T02:47:43.158564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1febd72-2972-43d4-bf7c-a1cd136c37fa · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 107

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:40:08.265737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4306ecd5-8d19-4c97-b6cf-75ae37104ca9 · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 107

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:19:51.249805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4f00990-0eec-4046-a028-9ef6a35ed535 · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T12:08:06.206832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80982d5e-03f1-42a1-961c-c1ea06fe3dad · inbound

HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better cites this paper.

HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-11T11:58:14.396969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c319f89-39c7-46b4-9a47-87f854489c60 · inbound

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL cites this paper.

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T14:50:13.620811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7e7a28c-a6fb-41ba-84a5-f10098545029 · 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 AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T08:09:45.934280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5775cd74-2a9f-417e-b132-8defa232c3bb · inbound

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning cites this paper.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T04:16:43.996108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.