Paper Citation Record · LEDGER

FlowReasoner: Reinforcing Query-Level Meta-Agents

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2504.15257.

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

pith.paper-citation-record.v1
2504.15257 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T16:08:11.749229Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T14:17:10.147620Z

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 d71509ef-f199-496f-98c6-638059431cc9 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 274

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:15.343837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 550ee823-b7fd-4278-a5d6-657e204c8381 · inbound

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:21:42.385695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b23e3449-b1b4-4a96-bde0-cb72041969ff · inbound

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems cites this paper.

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T20:50:36.706338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f1186a3-292a-422e-93e9-bf05475ea59f · inbound

SEVerA: Verified Synthesis of Self-Evolving Agents cites this paper.

SEVerA: Verified Synthesis of Self-Evolving Agents FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:38:23.510479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 15d595bf-8285-4af7-b04c-edc22189e5ff · inbound

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology cites this paper.

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:25:54.988476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c0402598-6857-41d4-a237-bc5377409584 · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:31.780262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8bfd9f9-a150-4d84-ae80-6f2d76acc975 · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:07:42.383559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 456905a1-f2c5-4868-bba3-68eef1f753a9 · inbound

LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning cites this paper.

LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:18:31.440337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2404ddf3-f9ea-477a-8465-3e39a588f282 · inbound

Towards Direct Evaluation of Harness Optimizers via Priority Ranking cites this paper.

Towards Direct Evaluation of Harness Optimizers via Priority Ranking FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:14:40.474336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bb8e85e9-97ff-4190-8249-b9ee54a272da · inbound

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems cites this paper.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.129033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f4c757ef-ebd4-4afa-a2e1-36c6f7cc922c · inbound

From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory cites this paper.

From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:37:25.603588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 68475208-adf8-43c2-83ba-bdc56b22a43a · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 279

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:58:02.903868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b136fec9-b0a9-4caa-8601-128eabc38303 · inbound

SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration cites this paper.

SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:39:49.614349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc9739a4-6160-461d-98e4-cf3eb69d0ba1 · inbound

A Workflow-Aware Serving Layer for Agentic Applications cites this paper.

A Workflow-Aware Serving Layer for Agentic Applications FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T05:56:18.797766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5c1a9ac-5745-4382-bbed-f61ffedad3a0 · inbound

Mathematical methods of reinforcement learning cites this paper.

Mathematical methods of reinforcement learning FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 118

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:56:37.767436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f02e287d-aa12-41e9-9002-3ccd3bf397fe · inbound

Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems cites this paper.

Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-07-10T14:17:10.148893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d20a202d-5868-4dd5-a57e-e055f32996dd · inbound

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills cites this paper.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T16:08:11.749229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.