Paper Citation Record · LEDGER

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems

As of 4 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2604.03295.

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

pith.paper-citation-record.v1
2604.03295 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T22:42:43.070265Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:14:36.646336Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact16
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems.

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 2026-08-04T06:34:03.388597+00:00.

Observation 7fc003fd-94a3-4997-ae70-100c6d71ce53 · outbound

This paper cites Legomem: Modular procedural memory for multi-agent llm systems for workflow automation.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems Legomem: Modular procedural memory for multi-agent llm systems for workflow automation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:43:12.101041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3273e1c-25ae-47c2-b844-58b48c99df7e · outbound

This paper cites MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:10.461200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6ca80b16-fd59-4dc3-a177-a3a072b03cf8 · outbound

This paper cites Towards a Science of Scaling Agent Systems.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems Towards a Science of Scaling Agent Systems

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:43:12.024936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e0063510-bf8d-48e9-953e-a60f874096c1 · outbound

This paper cites More Agents Is All You Need.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems More Agents Is All You Need

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:43:12.079521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d9792ae3-b2c0-4694-8e75-26feb7da099a · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:43:12.002256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0124d02a-2f72-48b9-aab1-f0fa8be1376d · outbound

This paper cites SimpleMem: Efficient Lifelong Memory for LLM Agents.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems SimpleMem: Efficient Lifelong Memory for LLM Agents

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:10:45.412758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 825a408c-800f-4e3f-bdb8-506fc87a35c6 · outbound

This paper cites ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:42:50.464031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7235fedb-02ae-4a49-94e5-11bd176e646d · outbound

This paper cites Scaling Large Language Model-based Multi-Agent Collaboration.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems Scaling Large Language Model-based Multi-Agent Collaboration

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:43:12.041790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fe4e7efb-c288-4557-b16e-45ff40ee2ac6 · outbound

This paper cites Agent Workflow Memory.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems Agent Workflow Memory

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:51:28.546876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 34861772-4e01-4d15-8107-7d542ab0be67 · outbound

This paper cites Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:13:16.650386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a655d26f-baf5-4bca-8b43-31a1ff855840 · outbound

This paper cites arXiv preprint arXiv:2601.12307 , year=.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems arXiv preprint arXiv:2601.12307 , year=

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:43:11.984562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a5e9225d-dcfe-454e-9544-c5093d439f10 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems A-MEM: Agentic Memory for LLM Agents

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:43:11.994055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 28f9d95f-aa10-4517-b8ab-7521ec79ac07 · outbound

This paper cites Qwen3 Technical Report.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems Qwen3 Technical Report

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:43:12.056467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 51e4d504-bec1-48e5-a515-c2d62d4cc6ca · outbound

This paper cites MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:43:12.063985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 102908df-210f-4749-9ad2-ee6c2cb9cf3a · outbound

This paper cites LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:43:12.033070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 7b3fb361-5b93-4599-ba92-c1c88b4d5c53 · inbound

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems cites this paper.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems

Reference 1912

Resolution: unresolved; no resolver link, observed 2026-07-31T22:14:36.646336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.