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Paper Citation Record · LEDGER

AgentInstruct: Toward Generative Teaching with Agentic Flows

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 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 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:25:40.145652Z

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 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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T15:54:54.146003Z digest=sha256:3e955ff598c83e56067a77ee1af677b52e19424daf1b9ba5c23b05f62971a635

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:ebab2f96d67170a7c04c96b8b7c825376e2ab7c49771ec09a51c4b97733874f2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:40:25.706499Z digest=sha256:ffb0d3ff1d5ff14248e326a746c26887a5ceba18ca1defa416107216865b25b4

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:49:27.926646Z digest=sha256:18a9d7dcf1f1dd70afbe6a9458ed5d5f9b4b39c2e358e50e3c9b4a9e49c171c6

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.

source=arxiv_source observed=2026-08-06T14:25:40.145652Z digest=sha256:56ab7610dcdb7c0b83791de6413c665a548755cf5f535d06441cbe458fd99f8e

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.

source=pdf_text observed=2026-08-05T16:32:54.582008Z digest=sha256:5a1554246c0cceec893c803dbcc9624d09173eabb0c4f2e898cc470dcd4fa247

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.

source=pdf_text observed=2026-08-05T16:22:51.591964Z digest=sha256:86e57ace26338ece8a9efa1bb87c653d876de7cc3018a5c807a37fd38b647956

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.

source=pdf_text observed=2026-08-04T23:10:21.114223Z digest=sha256:db3a69f0d470fa89b7581887e4984d6b17aef8d8ac94d84c299cb3b75d3e8e1c

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.

source=pdf_text observed=2026-08-04T21:44:12.372113Z digest=sha256:6e6cd6857016c387bafa1949ea3ecf20f79206a006c8bb5346a13e87e2e2c01f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T12:34:29.808503Z digest=sha256:76c11c2dd63295948d7d0d7dc24429225cb67f06f4be2f0d6e209f5be7097c17

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-08T09:35:47.501360Z digest=sha256:7e96b70b7be85702ec703fea95447788a1bc49c6dc18a8e8bdf787f51232d04e

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T03:16:59.195706Z digest=sha256:0bccd478778a934092d33a63cc08fcede0fcfe4e34ad0b8c493e290241d965d4

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-20T22:36:13.781114Z digest=sha256:20eb50dc2a67ea327e03b4b36ff2384e038b5e1593d133ae307c17833240c4f5

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T04:15:40.042348Z digest=sha256:9fbcc143d5a7951cee4bdec74032223a799705b7c213a98ca10bcad4078cb53c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T22:30:28.649803Z digest=sha256:255bc83e78378b28326f1b81c303300690a5f2a498e0d3e93640bc297c520379

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T06:14:28.614825Z digest=sha256:cfb9217b0c2777275fee6e3a8162bf975ea438588b30ff571257d8cc3560f861

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T14:18:45.821224Z digest=sha256:28b76c97254c7e643f5612acde62c4a89bd2ee7f02e0c6ca6ca62b92e88c5ce6

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T22:50:42.995061Z digest=sha256:6b38818d48c10f27c23bcfbcebbd329b6774748f06b95a1ad5b15eae94478465

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T17:28:58.574865Z digest=sha256:d3656694b68bc4c7d0bde0b08afd02a55a0e0830e8e692efe749907511dd99f2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T12:55:11.402557Z digest=sha256:45f54c4252eddda2d8328274414f50607bc5e0998ebc430db654bbf2a8eeed7e

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T12:50:32.024037Z digest=sha256:0e7c0ecd2274303d42403d10b0c29cd478b691011ff1932fb9d42eca0c724d39

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.

source=arxiv_source observed=2026-07-14T18:06:15.668254Z digest=sha256:a4f6d8ef828ea704b1abda5affb1b33d796d2694cd1342e330404cadeab424ae

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.

source=arxiv_source observed=2026-07-15T10:51:49.150058Z digest=sha256:bf50367c59f0f7735d7ee43f0fb25a2832ef7a9e9e67f4f54efa119a0f632d99

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T14:24:19.702588Z digest=sha256:f4757872752caab76716a3e1f1b8ea04ced54b07c1c94c911144fbe28ffe028b

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.

source=pdf_text observed=2026-08-04T02:47:43.158564Z digest=sha256:4a07848ef7f1888dd3e3cdf70e2012c85f28ab30ef328b2a32a127c58e9e7d63

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-25T19:50:35.574454Z digest=sha256:4ca8c4eacbcd6eed95b63e35fdf6d7a97bc81b4730566badbeaca7a530865d71

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T05:16:12.361470Z digest=sha256:3c1788f7508a62d7aed3fc8c0aa8dfa7b3504e5ec0da8edf504963f5919ec940

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.

source=arxiv_source observed=2026-07-12T12:08:06.206832Z digest=sha256:d0f2afd8e1b535f0ba10deb526a552f1a2002528b6762c383e8a43510c05795d

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.

source=pdf_text observed=2026-07-11T11:58:14.396969Z digest=sha256:29af29c02fb27bd9fa854fb0cba8746593d3ebd369994e516af2e6308c7ffa68

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.

source=pdf_text observed=2026-08-02T14:50:13.620811Z digest=sha256:55bd85656fcc7035dfd8687294c329a416d5eeafabead433b95abf4bcffbdfad

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.

source=arxiv_source observed=2026-08-01T08:09:45.934280Z digest=sha256:655d86892fe6cdee243dd9c2847bdaf9258c814a99a5e4f704835280f9fe3e08

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.

source=arxiv_source observed=2026-08-06T04:16:43.996108Z digest=sha256:fb69378c9baa7131428406ab6c93ddef2964b16297b2fe4157ad2a752a955f7b