Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-19T18:07:07.576466Z
Paper Citation Record · LEDGER
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch
As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2605.15204.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
25 of 25 outbound references displayed
- verified exact8
- verified fuzzy17
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 03d9f382-dbb0-4c0c-8b98-51ca46da5928 · outbound
This paper cites AgentAuditor: Safety and security evaluation for large language model agents.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch AgentAuditor: Safety and security evaluation for large language model agents
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.156538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8283ef28-b658-43c6-979c-4468b61379ed · outbound
This paper cites Langchain: Building applications with LLMs through composability.https://github.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Langchain: Building applications with LLMs through composability.https://github
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.154630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6cfac8e8-dd6d-4885-8a8a-f80919197d52 · outbound
This paper cites AgentVerse: Facilitating multi-agent collaboration and exploring emergent be- haviors.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch AgentVerse: Facilitating multi-agent collaboration and exploring emergent be- haviors
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.152621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 995a785c-f4f9-4f34-b4d2-f73bb018e776 · outbound
This paper cites Cooperative AI: machines must learn to find common ground.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Cooperative AI: machines must learn to find common ground
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.150802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c3cb51db-4567-4ad6-9d49-b342c5d1f32b · outbound
This paper cites AgentScope: A Flexible yet Robust Multi-Agent Platform.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch AgentScope: A Flexible yet Robust Multi-Agent Platform
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T18:07:42.478033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 04dba5e0-bd64-462f-9a51-88c0508f14e7 · outbound
This paper cites MemoryArena: Benchmarking agent memory in inter- dependent multi-session agentic tasks.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch MemoryArena: Benchmarking agent memory in inter- dependent multi-session agentic tasks
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.182877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6372bdbe-7cfa-4214-b3c8-c9e516bcbab8 · outbound
This paper cites MetaGPT: Meta programming for a multi-agent col- laborative framework.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch MetaGPT: Meta programming for a multi-agent col- laborative framework
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.162668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4861e1cb-6166-4079-85bd-c208f59b2def · outbound
This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T18:07:42.484872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e899e0e6-48a7-4928-8c6d-b57985923ca7 · outbound
This paper cites Langgraph: Multi-agent work- flows with LLMs.https://github.com/ langchain-ai/langgraph.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Langgraph: Multi-agent work- flows with LLMs.https://github.com/ langchain-ai/langgraph
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.158563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d5507787-b924-4b64-a514-643cd7afe350 · outbound
This paper cites Evaluating very long-term conversational memory of LLM agents.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Evaluating very long-term conversational memory of LLM agents
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.164704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f3e7298c-aee5-4cdf-b757-ad3c6f2c53c8 · outbound
This paper cites Crewai: Framework for orchestrating role-playing AI agents.https://github.com/ joaomdmoura/crewAI.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Crewai: Framework for orchestrating role-playing AI agents.https://github.com/ joaomdmoura/crewAI
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.160672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9807bab1-139c-40c1-a5b2-b763c4ccbde0 · outbound
This paper cites Gorilla: Large Language Model Connected with Massive APIs.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Gorilla: Large Language Model Connected with Massive APIs
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T18:07:42.464481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation af32a1d3-880b-40f1-8926-a7fb952d9176 · outbound
This paper cites TaskWeaver: A Code-First Agent Framework.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch TaskWeaver: A Code-First Agent Framework
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T18:07:42.474813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e18c363e-60d8-4df8-b6cd-165dd5374910 · outbound
This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T18:07:42.471309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2c6d3f3d-2eaa-4627-9877-643dd3cb8552 · outbound
This paper cites Towards scal- able multi-domain conversational agents: The schema- guided dialogue dataset.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Towards scal- able multi-domain conversational agents: The schema- guided dialogue dataset
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.178445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 46c2f7de-18bb-40ab-9e38-5f90150b46ca · outbound
This paper cites Toolformer: Lan- guage models can teach themselves to use tools.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Toolformer: Lan- guage models can teach themselves to use tools
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.180642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1f2d7c24-826e-43e7-adf6-429a57b528c6 · outbound
This paper cites Reflexion: Language agents with verbal reinforcement learning.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Reflexion: Language agents with verbal reinforcement learning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.176485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 107720c1-bbad-4f15-9e4d-d3404e694d1f · outbound
This paper cites RestGPT: Connecting Large Language Models with Real-World RESTful APIs.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch RestGPT: Connecting Large Language Models with Real-World RESTful APIs
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T18:07:42.461481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cc99f3a6-6e62-4cb8-8247-e24ba8f7d4fa · outbound
This paper cites Process mining: Overview and opportunities.ACM Transactions on Management In- formation Systems, 3(2):1–17.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Process mining: Overview and opportunities.ACM Transactions on Management In- formation Systems, 3(2):1–17
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.174726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f0b12d14-6393-4bdb-b0b9-e7225037979c · outbound
This paper cites A survey on large language model based autonomous agents.Frontiers of Computer Science.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch A survey on large language model based autonomous agents.Frontiers of Computer Science
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.172674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0dc4e4c2-2dd7-4e0b-83a4-404084fe949b · outbound
This paper cites Autogen: Enabling next-gen LLM applications via multi-agent conversa- tion.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Autogen: Enabling next-gen LLM applications via multi-agent conversa- tion
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.170754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9dae6134-88e0-4526-8497-42eb2716fa43 · outbound
This paper cites StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T18:07:42.468117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 49ac0c53-8123-44a9-80db-2ef44b3e14cd · outbound
This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch The Rise and Potential of Large Language Model Based Agents: A Survey
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T18:07:42.480937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7a2927e9-41a2-4cfb-9895-b5685d5abdef · outbound
This paper cites React: Synergizing reasoning and acting in language models.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch React: Synergizing reasoning and acting in language models
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.166664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 39ea88d9-352c-43f9-a9b2-bfdfa692d0c7 · outbound
This paper cites AMA- Bench: Evaluating long-horizon memory for agentic applications.
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch AMA- Bench: Evaluating long-horizon memory for agentic applications
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T18:07:43.168446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.