Paper Citation Record · LEDGER

Adaptive In-conversation Team Building for Language Model Agents

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2405.19425.

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

pith.paper-citation-record.v1
2405.19425 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:29:21.299800Z

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

0
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 cf0d7583-db8f-4d2a-a930-ba87247585b7 · inbound

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization cites this paper.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization Adaptive In-conversation Team Building for Language Model Agents

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T22:57:12.761310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2fd8bd5-614f-48f4-b2c5-7ffbfc5e5cc3 · inbound

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives cites this paper.

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives Adaptive In-conversation Team Building for Language Model Agents

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:21.299800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0017fe97-b176-4c47-9d8b-d92af494abed · inbound

MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Design cites this paper.

MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Design Adaptive In-conversation Team Building for Language Model Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:32.405447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c270e8e9-ef26-4d83-872b-b0f644e8b2f9 · inbound

Self-Evolving Multi-Agent Systems via Textual Backpropagation cites this paper.

Self-Evolving Multi-Agent Systems via Textual Backpropagation Adaptive In-conversation Team Building for Language Model Agents

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:01.520760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fce116e-771a-47cd-8107-6cbc92da24ca · 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 Adaptive In-conversation Team Building for Language Model Agents

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:21:42.693356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c29342a4-33a0-4ef3-882b-09ad80e16013 · inbound

Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems cites this paper.

Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems Adaptive In-conversation Team Building for Language Model Agents

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:26:11.910687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27b68860-10d6-4fa2-a89c-e0634a7f56a2 · inbound

Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Multi-Agent Workflows cites this paper.

Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Multi-Agent Workflows Adaptive In-conversation Team Building for Language Model Agents

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:06:52.850081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efbfdd57-8bbd-452f-9879-a922686f6ed8 · inbound

Trace-Level Analysis of Information Contamination in Multi-Agent Systems cites this paper.

Trace-Level Analysis of Information Contamination in Multi-Agent Systems Adaptive In-conversation Team Building for Language Model Agents

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:41:27.085416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a932f09b-02a8-4ce1-afaa-d6efcc54a939 · inbound

MASPrism: Lightweight Failure Attribution for Multi-Agent Systems Using Prefill-Stage Signals cites this paper.

MASPrism: Lightweight Failure Attribution for Multi-Agent Systems Using Prefill-Stage Signals Adaptive In-conversation Team Building for Language Model Agents

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:20:54.677513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e62c1b73-f366-4085-9132-b2035f752496 · inbound

MASPrism: Lightweight Failure Attribution for Multi-Agent Systems Using Prefill-Stage Signals cites this paper.

MASPrism: Lightweight Failure Attribution for Multi-Agent Systems Using Prefill-Stage Signals Adaptive In-conversation Team Building for Language Model Agents

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:05:06.196427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 766c358a-a39f-4fbf-9228-737f585268ce · 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 Adaptive In-conversation Team Building for Language Model Agents

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.145659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c1eae08-789e-44af-abcc-a6faca5265c2 · inbound

FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search cites this paper.

FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search Adaptive In-conversation Team Building for Language Model Agents

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.537361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0d4bcbac-c30d-46b5-a88c-ee2b8548d2a8 · inbound

SAFARI: Scaling Long Horizon Agentic Fault Attribution via Active Investigation cites this paper.

SAFARI: Scaling Long Horizon Agentic Fault Attribution via Active Investigation Adaptive In-conversation Team Building for Language Model Agents

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:40:00.439544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f76b3db-a7e7-4cc0-b9ad-639d7fc27ec0 · inbound

Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents cites this paper.

Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents Adaptive In-conversation Team Building for Language Model Agents

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:40:07.871732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16606b07-0faa-4607-a731-87aa5bd425a8 · inbound

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? cites this paper.

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? Adaptive In-conversation Team Building for Language Model Agents

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T01:10:44.920887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6dda8ca-c0a2-4ada-bd3c-3a86cce1c451 · inbound

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges cites this paper.

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges Adaptive In-conversation Team Building for Language Model Agents

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-01T00:32:34.650426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.