Paper Citation Record · LEDGER

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning

As of 5 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2606.07299.

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

pith.paper-citation-record.v1
2606.07299 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:04:37.766752Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:12:55.720224Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact16
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2acf0412-4242-44ce-852f-ae81d474e2a6 · outbound

This paper cites Improving retrieval-augmented generation through multi-agent reinforcement learning.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Improving retrieval-augmented generation through multi-agent reinforcement learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:14.719011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a233a0ee-6744-475a-8538-6b598d50df19 · outbound

This paper cites Retrieve only when it needs: Adap- tive retrieval augmentation for hallucination mitigation in large language models.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Retrieve only when it needs: Adap- tive retrieval augmentation for hallucination mitigation in large language models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:14.754561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation efe7d857-e21a-4c80-aa56-9dcb14ff7e89 · outbound

This paper cites DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:27:14.751048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bbabe26c-ec1c-4f74-bc55-d6754adebf05 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:27:14.735213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4944b992-d65d-49ba-9da5-eaccbc79a540 · outbound

This paper cites DeepRAG: Thinking to Retrieve Step by Step for Large Language Models.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:17:15.156968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6be95d72-25fd-449f-9ea7-56ca760bbded · outbound

This paper cites Deep Researcher with Test-Time Diffusion.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Deep Researcher with Test-Time Diffusion

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:17:14.651288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 23d899db-e5d0-45d8-8972-05eec43f8de7 · outbound

This paper cites Step-DeepResearch technical report.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Step-DeepResearch technical report

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:17:15.160239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e049d48-7cd0-4e6f-a7d2-5b20d7cb88c4 · outbound

This paper cites RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:17:15.163237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 413b57ab-64db-4a4f-ba68-0b4b81f8cf15 · outbound

This paper cites DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:14.744673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 928bbd4e-7f02-4c4d-937a-3b3ea3f678e0 · outbound

This paper cites Active retrieval augmented generation.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Active retrieval augmented generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T22:04:37.766752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed0af6e5-54d6-4e32-960e-be893f82cd08 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:27:14.747526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d688fe18-7025-4c0f-9c81-6dc8c7bf3eb9 · outbound

This paper cites Dense passage retrieval for open-domain question an- swering.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Dense passage retrieval for open-domain question an- swering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T22:04:37.766752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47aaa198-3c1c-4c74-864b-8017db2f0d72 · outbound

This paper cites Deepresearch bench ii: Diagnosing deep research agents via rubrics from expert report.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Deepresearch bench ii: Diagnosing deep research agents via rubrics from expert report

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:14.722189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 901dc2a5-ee96-4775-ad1a-528812a96f87 · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:27:14.764743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 46885480-e0f2-4201-b598-0ac4a5b8490f · outbound

This paper cites DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:27:14.725688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 40bc3bc1-ec62-48f0-a178-ebe68a353872 · outbound

This paper cites Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, Dan Jurafsky, and James Zou.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, Dan Jurafsky, and James Zou

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:17:14.658071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 76013f71-d1c7-48de-8c6e-84cbb8b4fd88 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:27:14.711212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ad04e73-ca70-4e4f-8645-a3bed65818ff · outbound

This paper cites Scaling agents via continual pre-training.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Scaling agents via continual pre-training

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:14.728716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4804eec-2423-410c-b597-4dccfcad9074 · outbound

This paper cites DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:14.768531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10d8af0f-b706-4a88-b0fd-d61ecc44ca42 · outbound

This paper cites MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T17:27:14.715479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d7616a86-bef7-4633-a183-d06f0300961c · outbound

This paper cites LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T17:27:14.757849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 84fcef8b-820d-42fa-8b2a-e7fae662492e · outbound

This paper cites SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:27:14.762040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 59073127-cc21-4800-a39a-5f64858dbd89 · outbound

This paper cites Deep Research: A Survey of Autonomous Research Agents.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Deep Research: A Survey of Autonomous Research Agents

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:27:14.741508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b21963a5-adf1-4773-b1f2-16e4758de250 · outbound

This paper cites Stolfo, A., Balachandran, V ., Yousefi, S., Horvitz, E., and Nushi, B.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Stolfo, A., Balachandran, V ., Yousefi, S., Horvitz, E., and Nushi, B

Reference 24

Resolution: metadata mismatch; doi, observed 2026-06-27T22:11:20.826900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f7dc8515-29c5-41b6-b59e-a380fa47b78f · outbound

This paper cites thinking.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning thinking

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:27:14.738141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dfc5934d-eb38-421c-a5f2-4ae7f9cf7f4b · outbound

This paper cites arXiv preprint arXiv:2603.28376 , year=.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning arXiv preprint arXiv:2603.28376 , year=

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:14.732296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 393376c6-9bcf-45b9-b7a8-3f14be67409b · inbound

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents cites this paper.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.720224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.