Paper Citation Record · LEDGER

Exploring Robust Multi-Agent Workflows for Environmental Data Management

As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2604.01647.

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

pith.paper-citation-record.v1
2604.01647 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T16:57:53.544258Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact3
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f75fad8-fe15-4a00-b21f-0f4c30f67568 · outbound

This paper cites ACON: Optimizing Context Compression for Long-horizon LLM Agents.

Exploring Robust Multi-Agent Workflows for Environmental Data Management ACON: Optimizing Context Compression for Long-horizon LLM Agents

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.464432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff801ac-7537-4a0b-96d4-89c722bf65f4 · outbound

This paper cites AI Agents That Matter.

Exploring Robust Multi-Agent Workflows for Environmental Data Management AI Agents That Matter

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.469577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b301f5-cabf-4042-bfbd-be735075e629 · outbound

This paper cites doi:10.1162/tacl_a_00638 Microsoft Research.

Exploring Robust Multi-Agent Workflows for Environmental Data Management doi:10.1162/tacl_a_00638 Microsoft Research

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.488691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec6bc969-e0f3-4ab4-a657-c5a3ef034a72 · outbound

This paper cites https://modelcontextprotocol.io/specification/2025-11-25.

Exploring Robust Multi-Agent Workflows for Environmental Data Management https://modelcontextprotocol.io/specification/2025-11-25

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.493094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5c95678-b645-48a4-8c8e-7cfc262dbeff · outbound

This paper cites GPT-4 Technical Report.

Exploring Robust Multi-Agent Workflows for Environmental Data Management GPT-4 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.497330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 559b85c0-a692-4f27-aba4-75b3f8ee7aff · outbound

This paper cites Measuring Agents in Production.

Exploring Robust Multi-Agent Workflows for Environmental Data Management Measuring Agents in Production

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.501667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fe3d186-e19c-40c8-a597-6afef0b412c7 · outbound

This paper cites InPractice and Experience in Advanced Research Computing (PEARC ’25)(Columbus, OH, USA)(PEARC ’25).

Exploring Robust Multi-Agent Workflows for Environmental Data Management InPractice and Experience in Advanced Research Computing (PEARC ’25)(Columbus, OH, USA)(PEARC ’25)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.506385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b073036-a098-4bd2-9808-06872a299af1 · outbound

This paper cites doi:10.1016/j.future.2024.03.037 D.

Exploring Robust Multi-Agent Workflows for Environmental Data Management doi:10.1016/j.future.2024.03.037 D

Reference 16

Resolution: verified exact; doi, observed 2026-08-02T16:58:43.269228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb9f46d5-b688-4a60-9778-b7ebe19e4b1e · outbound

This paper cites Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, et al.

Exploring Robust Multi-Agent Workflows for Environmental Data Management Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, et al

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.524782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53339e83-66e6-4fe9-8922-9c8dd67d19b3 · outbound

This paper cites Agentic Reasoning for Large Language Models.

Exploring Robust Multi-Agent Workflows for Environmental Data Management Agentic Reasoning for Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.530022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9b2be4-d68f-415e-8804-732dd28bbcec · outbound

This paper cites doi:10.1145/3626203.3670557 Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, et al.

Exploring Robust Multi-Agent Workflows for Environmental Data Management doi:10.1145/3626203.3670557 Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, et al

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.534886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36390833-2a0b-45e0-b752-5d8bffdc3a8c · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Exploring Robust Multi-Agent Workflows for Environmental Data Management AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.539436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69a4baaf-4144-42bc-baa2-8a693bf639ae · outbound

This paper cites Uncovering Insights of Compound Flooding with Data-Driven AI.

Exploring Robust Multi-Agent Workflows for Environmental Data Management Uncovering Insights of Compound Flooding with Data-Driven AI

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-08-02T16:58:43.130285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e58fb79d-ae63-4541-ad1f-c033507bb8ca · outbound

This paper cites IEEE63, 9 (1975), 1278–1308.

Exploring Robust Multi-Agent Workflows for Environmental Data Management IEEE63, 9 (1975), 1278–1308

Reference 1975

Resolution: malformed identifier; no resolver link, observed 2026-08-02T16:57:53.511058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a431855-e982-46f0-a19e-2dba5340e8a6 · outbound

This paper cites doi:10.1177/0049124107306660 LangChain, Inc.

Exploring Robust Multi-Agent Workflows for Environmental Data Management doi:10.1177/0049124107306660 LangChain, Inc

Reference 2007

Resolution: verified exact; doi, observed 2026-08-02T16:58:43.444630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ab8b2647-77f8-443d-bcd6-54b4ccc36d01 · outbound

This paper cites doi:10.1109/MIC.2011.64 Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, et al.

Exploring Robust Multi-Agent Workflows for Environmental Data Management doi:10.1109/MIC.2011.64 Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, et al

Reference 2011

Resolution: verified exact; doi, observed 2026-08-02T16:58:43.599221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1181b516-ce41-481b-b22f-971522e7e1ee · outbound

This paper cites Concrete Problems in AI Safety.

Exploring Robust Multi-Agent Workflows for Environmental Data Management Concrete Problems in AI Safety

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.443452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24fcfa77-355b-4047-8a4c-cf84c4fa5ef1 · outbound

This paper cites doi:10.1080/10447318.2020.1741118 Vaishali Vinay.

Exploring Robust Multi-Agent Workflows for Environmental Data Management doi:10.1080/10447318.2020.1741118 Vaishali Vinay

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.520082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce089a85-e039-41e9-bed6-651662f97752 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Exploring Robust Multi-Agent Workflows for Environmental Data Management MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.459522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dbc1ccd-d00e-4789-886e-992c8c8dede8 · outbound

This paper cites Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach.

Exploring Robust Multi-Agent Workflows for Environmental Data Management Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.479552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 255bc24f-a09f-4dc6-81cb-7790a844ed61 · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

Exploring Robust Multi-Agent Workflows for Environmental Data Management Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.454282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c5d43f-1a51-4684-9c2b-6d50c5e02318 · outbound

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

Exploring Robust Multi-Agent Workflows for Environmental Data Management SimpleMem: Efficient Lifelong Memory for LLM Agents

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.484253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.