Paper Citation Record · LEDGER

Optimizing Model Selection for Compound AI Systems

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2502.14815.

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

pith.paper-citation-record.v1
2502.14815 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:20:29.391484Z

measured 1 of 1 external citation measurements

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

Source: pith, 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
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52fc0a9f-9394-46a3-82de-250c5d6b8d99 · inbound

Twill: Scheduling Compound AI Systems on Heterogeneous Mobile Edge Platforms cites this paper.

Twill: Scheduling Compound AI Systems on Heterogeneous Mobile Edge Platforms Optimizing Model Selection for Compound AI Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:29.391484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3910210-26f1-400e-bf3e-51a352cd82f0 · inbound

Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms cites this paper.

Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms Optimizing Model Selection for Compound AI Systems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:58.333824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 260a4b1a-b1c3-4b45-ab75-db94f723af0e · inbound

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines cites this paper.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Optimizing Model Selection for Compound AI Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.730481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d58ba6-548c-476e-beea-eafd0bc65a43 · inbound

The Cost of Consensus: Isolated Self-Correction Prevails Over Unguided Homogeneous Multi-Agent Debate cites this paper.

The Cost of Consensus: Isolated Self-Correction Prevails Over Unguided Homogeneous Multi-Agent Debate Optimizing Model Selection for Compound AI Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:10.797280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 946b4895-ac40-4137-8ce6-886c4538c9be · inbound

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples cites this paper.

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples Optimizing Model Selection for Compound AI Systems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:56.015391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba6df294-7914-49f1-a010-81636ccc58ab · 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 Optimizing Model Selection for Compound AI Systems

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T18:42:29.556203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5bc21585-182d-429c-a72f-4ae1dd277eea · inbound

SCOPE: Cost-Efficient Model Selection for Compound AI Systems under Quality Constraints cites this paper.

SCOPE: Cost-Efficient Model Selection for Compound AI Systems under Quality Constraints Optimizing Model Selection for Compound AI Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:02:27.135150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f5f1f88-9342-4039-bbc4-fed40aba0651 · inbound

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents cites this paper.

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents Optimizing Model Selection for Compound AI Systems

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.667610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07b8f67d-47fd-48e9-94ec-42080c20e995 · inbound

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents cites this paper.

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents Optimizing Model Selection for Compound AI Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T12:39:37.709933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e565b4ea-869d-4680-a5f1-4392580b1198 · inbound

Optimizing the Cost-Quality Tradeoff of Agentic Theorem Provers in Lean cites this paper.

Optimizing the Cost-Quality Tradeoff of Agentic Theorem Provers in Lean Optimizing Model Selection for Compound AI Systems

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-06-28T06:11:42.487050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b0d5d6f7-e633-423e-b6be-8f2e89b1bcb4 · inbound

Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications cites this paper.

Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications Optimizing Model Selection for Compound AI Systems

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T21:38:58.949759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a32e7663-9dc5-4e2b-9865-71406ceea851 · inbound

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval cites this paper.

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval Optimizing Model Selection for Compound AI Systems

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:24:38.785782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7181cb1b-32c9-4487-85e9-c45cdb143454 · 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 Optimizing Model Selection for Compound AI Systems

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-07-10T14:17:10.160193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.