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Paper Citation Record · LEDGER

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2506.10844.

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

pith.paper-citation-record.v1
2506.10844 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:21:18.878259Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:39:54.506624Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T10:14:12.740330Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aded1a56-d264-4f86-888c-5e3238ab93b0 · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

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unresolved
no resolver link, observed 2026-08-07T04:21:17.773981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:17.773981Z digest=sha256:553131917c23e4a912fde718bd713b91c2de7e7dfb6f6bce9112636ea00f8543

Observation 79ab08c2-c90b-48ef-b97f-0781f545deea · outbound

This paper cites an unresolved cited work.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:21:19.421683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:21:17.863111Z digest=sha256:48fbb0d198e33dffbc855de8b73e2a61e88ee5498db3f4045001b1c8ed6c4f93

Observation efa09761-161b-4800-9a9b-03d4a7a44cbb · outbound

This paper cites Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana

Reference 3

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unresolved
no resolver link, observed 2026-08-07T04:21:17.986579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:17.986579Z digest=sha256:0334f10188825a7fb8662966286ee20c9c93e265c58c23876c6196359212c558

Observation 335393b8-871a-4ea7-bb1d-9d56c318d9d6 · outbound

This paper cites an unresolved cited work.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-07T04:21:19.407744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:21:18.116992Z digest=sha256:43d3d0b7e604bd00cea6a676d757d762bdb4d4e07932430206ea7085c414927d

Observation 96960d72-6f4a-417a-a91e-3bd094941dc7 · outbound

This paper cites Towards Efficient Multi-Agent Learning Systems.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Towards Efficient Multi-Agent Learning Systems

Reference 5

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no resolver link, observed 2026-08-07T04:21:18.187738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.187738Z digest=sha256:50eb9824f5dc9755272488dcd4f26e535494680ac01ee0b7285adc2c4e73a998

Observation 6e018977-45a9-4d97-886d-07af65fd74ea · outbound

This paper cites The Curious Case of Neural Text Degeneration.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training The Curious Case of Neural Text Degeneration

Reference 6

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unresolved
no resolver link, observed 2026-08-07T04:21:18.340188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.340188Z digest=sha256:27e0af3f809047080c8f141ab1c0cd7fddbb7fba1a047fac3477c8ed7444a768

Observation ac5d025b-d1da-4559-b5ac-91b23d85d972 · outbound

This paper cites an unresolved cited work.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Unresolved cited work

Reference 7

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unresolved
no resolver link, observed 2026-08-07T04:21:18.491136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.491136Z digest=sha256:79e4bbf35a6938ca8e4ca9a34221926b600e89c4ebbbd96276237687d19d1b4d

Observation bad4f68e-0c59-4a28-b482-8619631f15d9 · outbound

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

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 8

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no resolver link, observed 2026-08-07T04:21:18.603641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.603641Z digest=sha256:68e438dc8e9024272bc0e472326f38881c3fbdc6bd04799080e67633d2793d62

Observation 88159443-2ac4-4c24-8c2c-8c41ded85c59 · outbound

This paper cites Retrieval-Enhanced Machine Learning: Synthesis and Opportunities.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Retrieval-Enhanced Machine Learning: Synthesis and Opportunities

Reference 9

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unresolved
no resolver link, observed 2026-08-07T04:21:18.733032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.733032Z digest=sha256:89c94e691a8d9e068b989830ced24c8c9efe90a5a447a6ffed5fb7c44bda79b2

Observation db3c3681-bcc3-45fc-8df8-c0c2c37c01a6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Adam: A Method for Stochastic Optimization

Reference 10

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no resolver link, observed 2026-08-07T04:21:18.818930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.818930Z digest=sha256:7b898c9a01bdfac86e603e0ccfef0b1cc8155d0ac7c66b9256efc7d2981f00a3

Observation 845e35fb-3a93-47ea-8f1d-0345e6dd12fb · outbound

This paper cites The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models

Reference 11

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unresolved
no resolver link, observed 2026-08-07T04:21:18.824096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.824096Z digest=sha256:5c13cddde77bccde8becdb5ce94e088b88cb884f85bc115b7a53f1c9a1778b18

Observation 8f74a147-6b0e-4797-9f9a-941a54c2b236 · outbound

This paper cites Qwen2.5 Technical Report.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Qwen2.5 Technical Report

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:18.829196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.829196Z digest=sha256:b71382d78a021b71c6a008c2d93f42bc5ba64a141685e3ebaee6ec6d1b5cda8f

Observation 928359b2-748a-4743-a169-1b881a9a73f1 · outbound

This paper cites an unresolved cited work.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Unresolved cited work

Reference 13

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unresolved
no resolver link, observed 2026-08-07T04:21:18.833354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.833354Z digest=sha256:a9fc0ea0d6fef70cec7bda42a88875ff6a2aabcd4484d3c64afa9a07cb5e79cf

Observation 374e186a-3963-46dc-8c35-9ea3724a3eda · outbound

This paper cites Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:21:19.103896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:21:18.837818Z digest=sha256:46d06d9c7bf0ed41581a37268af06c3bc195fbff0317df5e1995e43e64a4b51d

Observation 274af8c9-b88c-4a67-bfd0-9254d8f3a734 · outbound

This paper cites an unresolved cited work.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Unresolved cited work

Reference 15

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unresolved
no resolver link, observed 2026-08-07T04:21:18.842375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.842375Z digest=sha256:088bb04c8490dc6816683d6c24a0eb5115aaad3bdf8c5d674dd36f8b85b7381f

Observation 286e0ae3-81ee-4f37-b0d4-ebdabb1ab2e6 · outbound

This paper cites Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:21:19.384628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:21:18.846501Z digest=sha256:cb601d5797eff1ae781a48011ab36c4155812d75dbecccbe71274887d29373f5

Observation df6c7f24-c604-414e-9dc9-5f48593ac755 · outbound

This paper cites Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 17

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unresolved
no resolver link, observed 2026-08-07T04:21:18.855450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.855450Z digest=sha256:f22d568e4c52f2b1fbd77200fb1dd84011e1afa1538855e45368b9bfb2f783cd

Observation 28519565-e464-42c1-bc4a-2e0633377aa5 · outbound

This paper cites an unresolved cited work.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-07T04:21:18.859955Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.859955Z digest=sha256:f319108cee6e2abd2326780413bf0ee2f6498a8e86bed094ff5d4420d47dd139

Observation 319aa109-772e-42a9-8560-eeec4a9cb8ff · outbound

This paper cites an unresolved cited work.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Unresolved cited work

Reference 19

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unresolved
no resolver link, observed 2026-08-07T04:21:18.864065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.864065Z digest=sha256:595eb5b5c1a19c1bffe491017ddb7931df38ebad57b0350a3dc0b2c24b2e2899

Observation 038eaefa-a086-461f-ba04-43b337c235cf · outbound

This paper cites Scaling Sparse and Dense Retrieval in Decoder-Only LLMs.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Scaling Sparse and Dense Retrieval in Decoder-Only LLMs

Reference 20

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unresolved
no resolver link, observed 2026-08-07T04:21:18.868168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.868168Z digest=sha256:6e870776a4dd560789358fb785db11091eb19adfae0805757f380e49133d637e

Observation 595f0063-8559-4253-bc8a-5b0c2e1a5fee · outbound

This paper cites The lower temperature reduces randomness, leading to more deterministic outputs, which allows the trainable agents to better adapt to the fixed behavior of the generator/reviser.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training The lower temperature reduces randomness, leading to more deterministic outputs, which allows the trainable agents to better adapt to the fixed behavior of the generator/reviser

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:21:19.348852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:21:18.873670Z digest=sha256:23a7001c2ef95425ff91a006f05c71812003e2242b36f7ee6fc8af6c746109a0

Observation 6141d283-9f22-4d12-8a8c-78fb6f44c71d · outbound

This paper cites agent": the name of the agent you want to choose. -.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training agent": the name of the agent you want to choose. -

Reference 128

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verified fuzzy
raw_fallback, observed 2026-08-07T04:21:19.333720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:21:18.878259Z digest=sha256:1bf40e32ce748f77c92221635f6680c5d179889e52ec9e6b5ba80998e381aa77

Observation 607c30cf-eaaf-4c8f-8c72-1a6015fcdd00 · outbound

This paper cites Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 2024

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no resolver link, observed 2026-08-07T04:21:18.850888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.850888Z digest=sha256:8cf38ec1a659385ddfb43f42cc185e09db148a9b688a2bf4119c0612a585f343

Pith citing papers

Observation da43ca26-c4ec-4209-85cb-9c667a6f95bf · inbound

SIGIR 2025 -- LiveRAG Challenge Report cites this paper.

SIGIR 2025 -- LiveRAG Challenge Report CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training

Reference 20

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no resolver link, observed 2026-08-06T19:39:54.506624Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:54.506624Z digest=sha256:17741fb34de11a75c2050638d4145f6de498dc876d18b513bb495bc6a8bc42d0

Observation 4faae81e-daa7-4c70-9f61-218872d32f3c · inbound

Uncertainty Quantification for Retrieval-Augmented Reasoning cites this paper.

Uncertainty Quantification for Retrieval-Augmented Reasoning CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-04T10:14:12.881566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-04T10:10:57.739265Z digest=sha256:b32fe45a3e658cdbf64e8f7479e1f9dd62fa5a77dc43305fdff50006978f8079