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Paper Citation Record · LEDGER

MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.09955.

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

pith.paper-citation-record.v1
2408.09955 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:36:01.013642Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:14:53.954466Z

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 6f1e62c2-09df-4637-b354-094b470bf08a · inbound

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects cites this paper.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:01.013642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.013642Z digest=sha256:6a25eb8bfa97bda8e8e8b62bd784b8ee30ea4f37f1bc9b77f14ffa83052f0127

Observation 1eccae9e-0575-4309-8b96-5b006ce4fde6 · inbound

Do as We Do, Not as You Think: the Conformity of Large Language Models cites this paper.

Do as We Do, Not as You Think: the Conformity of Large Language Models MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T16:16:52.471950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:16:52.471950Z digest=sha256:c7a56aae65b72f24cc497e498d43f78e1a8e7e9e95f5b72c2776d780ea5e3459

Observation 678332ef-1407-42c7-b033-126388cb8435 · inbound

XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration cites this paper.

XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:44:55.125945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-22T14:43:19.221814Z digest=sha256:1ba75a25e2a130c1a220be5271307de28c9685a8aeb7c3880186995b19871fae

Observation 26cce702-5836-4407-9d85-9fd873f5a8ba · inbound

PulseReddit: A Novel Reddit Dataset for Benchmarking MAS in High-Frequency Cryptocurrency Trading cites this paper.

PulseReddit: A Novel Reddit Dataset for Benchmarking MAS in High-Frequency Cryptocurrency Trading MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:57:11.375587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:57:11.375587Z digest=sha256:7cf377ad0b6bb3a150046f611c807cd0deeb2ee22634045b9ccb875572585887

Observation 810905ba-a283-493f-a35d-a76a9a5243c2 · inbound

Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System cites this paper.

Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:06.057452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:39:06.057452Z digest=sha256:04cc0cce14a4321ae45af8c0edc6273a46efaf07805245da4ff69629f7e1ea98

Observation 125182e7-3b1e-436a-ae2e-34b4583b1a70 · inbound

CodeAgents: A Token-Efficient Framework for Codified Multi-Agent Reasoning in LLMs cites this paper.

CodeAgents: A Token-Efficient Framework for Codified Multi-Agent Reasoning in LLMs MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:19.906336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:19.906336Z digest=sha256:0a1473348d2cdbe9a32048efae9d2e15186d42213f33b4a1b3b9195679890a37

Observation a7b4b343-26c7-4473-8ada-dbe29fe16a47 · inbound

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems cites this paper.

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:53.956430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T04:48:51.748711Z digest=sha256:7d2a10cd26c78f94eadf4e86756ba4939d023f867b0ab5f9c2c84b67a40a382e

Observation 09c06709-af86-49c8-9ab2-dd9b3ba1881b · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

Reference 263

Resolution
unresolved
no resolver link, observed 2026-08-03T00:55:39.471552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:39.471552Z digest=sha256:411d92e022d5826ee84b6f21bdf373121053dcea812e86a76c3857fbbdbf1ffb