Paper Citation Record · LEDGER

Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2403.02419.

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

pith.paper-citation-record.v1
2403.02419 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:25:12.143149Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:44:37.101148Z

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 5635fde6-8fb5-462a-a84c-ce85593eb232 · inbound

RouterBench: A Benchmark for Multi-LLM Routing System cites this paper.

RouterBench: A Benchmark for Multi-LLM Routing System Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T10:47:31.123774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7b029715-fff4-48f2-87ca-856b43c04d58 · inbound

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling cites this paper.

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:42:23.543515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d9080a7-2d18-42c6-a524-e3f67835fa18 · inbound

O1 Embedder: Let Retrievers Think Before Action cites this paper.

O1 Embedder: Let Retrievers Think Before Action Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.143149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a29d052-7294-4fe4-9f35-4d8491d8d70f · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:42:58.663859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8560c50b-8369-444b-87ae-14cf3bc76139 · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 161

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:32:01.026419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 69c753b1-c500-4ef7-af71-757cf2840bd9 · inbound

Adaptive Graph Pruning for Multi-Agent Communication cites this paper.

Adaptive Graph Pruning for Multi-Agent Communication Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:41.961925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9060bdc8-54f9-4429-a4e3-00844932423b · inbound

TongSearch-QR: Reinforced Query Reasoning for Retrieval cites this paper.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:19.326608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902cc918-2aef-4b96-975e-5d40551b4d66 · inbound

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute cites this paper.

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:26.523133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9791d43d-b4fd-4bef-b667-c5bfe72d4c7b · inbound

ReasonBridge: Efficient Reasoning Transfer from Closed to Open-Source Language Models cites this paper.

ReasonBridge: Efficient Reasoning Transfer from Closed to Open-Source Language Models Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:01:31.737116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e117271-5c9a-4f77-9eb8-edd22621a51d · inbound

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique cites this paper.

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:17.059291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8022b02-6c89-4a21-a7d5-726b6909b15d · inbound

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.090754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a30386e3-a593-4558-a916-d2d3aad3c1eb · inbound

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

Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:58.184989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aafed4f2-e42d-4463-bc8e-e13888e4432d · inbound

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration cites this paper.

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T05:51:29.316363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f28a789b-3935-465c-b71a-efdae9233c8e · inbound

Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact cites this paper.

Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:46:29.441162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 372f570f-6692-4ea0-8e6f-5f23a64d6ae6 · inbound

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety cites this paper.

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-15T13:17:48.274611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d64a49-2d9f-4c66-a6ad-018bf8933e18 · inbound

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems cites this paper.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:43:12.094080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 320b3f67-a20b-45fe-a793-5beb23828b0f · inbound

Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications cites this paper.

Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:55:04.317210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c89905ec-79a0-42da-8e9c-281f0f4491c1 · inbound

Latency and Cost of Multi-Agent Intelligent Tutoring at Scale cites this paper.

Latency and Cost of Multi-Agent Intelligent Tutoring at Scale Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:06:21.198021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 324f2461-073e-4b74-b937-44ab63e584d9 · inbound

When More Sampling Hurts: The Modal Ceiling and Correlation Ceiling of Test-Time Scaling cites this paper.

When More Sampling Hurts: The Modal Ceiling and Correlation Ceiling of Test-Time Scaling Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.102872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2b38dd8a-6c7e-4432-b367-9f4e5397648a · inbound

DeepLook: Deeper Thinking with Lookahead cites this paper.

DeepLook: Deeper Thinking with Lookahead Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T11:32:10.068780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.