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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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

Resolution
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=sha256:1def1192ab7f29afbe4d86cf5b7395eba363e24fc26167d6631c2dbd09c7bf8a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:21:17.863111Z digest=sha256:f35cda48a52088f321c24ca750b151226bd440bd0aee7833cd80ab02e9b7d3c7

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:fe064184bc7d2b03acdf9af63fa7db1f88b92fe7526d3f4f4555b9f11ba16166

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:21:18.116992Z digest=sha256:4fcd71266023e56b92a05e5ff295ae9788616a0257b49635ccc4590cbfbcb988

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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unresolved
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=sha256:3a1446ee3f83d7b19398d54c5e5a0cfa3e94a3077399589736adc8e5886e09af

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

Resolution
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:fe36e5ad360d00d99d1bbbe33b62e369d770fc38dae4333a63ef30c233cb2fa7

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

Resolution
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=sha256:6ecb0ba86099fac997308a22d15898a0eead01a202cdeddb0e363ad994824bee

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

Resolution
unresolved
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=sha256:03c4b46f090f2239fbfe5b11dd5f56fb50e77176e3c3c3346ffa0cbd1916ff1d

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=sha256:1279d3b6572ec56abcb2f70d75b4182992dbae6f83c4911938a66010955a055c

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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unresolved
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=sha256:83e148e99f811b8d5500bc0067b97768c1d42d3f984a1800c20be9c749595b98

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:e48b2ac7f7d661b1318a478c2c5359fafe3f15865495a56e0d475fc6102507e6

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=sha256:715da004721b4af8dd63af615c56a6f53716203c517117fb36cb257ede73a568

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

Resolution
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=sha256:4a3e7a5f78b08202669e6fa167713678cf7ee6f8705817860f374ac77bd3f069

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:21:18.837818Z digest=sha256:0b5a974d8c5d3ca4aeae329dc9e46600a7c1ad44c697ab0b39c26ffbb80097e7

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:cb166eb574b847885bd8a9037c739b6e43a63df46028c50cbdb510a32cdd00f1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:21:18.846501Z digest=sha256:c0bca0a4fe2ab1928ac4ee9b930c4f3210b623e2948f25278c1e1a5322a895d2

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=sha256:2ce0a282e40b15f09ea6767ea43befc310e1e7acc8a39a1a959d51c2b021acc8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.859955Z digest=sha256:085e11c6e3cf384c196cef113c0357eec9bb4e50c3e93a4c8148f8d7f33a9b59

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=sha256:6ef7d489052ad9835c3d4a9a9ab10d8353a92b5936f9e7291257f3ec877c67f6

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

Resolution
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=sha256:8f28394037e93a2f504465ca7b4056de8cd3f05bc123e6bbe68d1e3c54cf7030

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:21:18.873670Z digest=sha256:0c698908443af7c9ad368628d282ab0e2c0e791971915e3cc0f1f887ecd2421f

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T04:21:18.878259Z digest=sha256:24d6a3caa8669b374f8f39738e7fc7f160109c544d01f8f2c0fa59bf6fca61c3

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=sha256:4f05bf8949466d4c8647980626d6511b4a40de6730ae71a9bc6f72b5b81d093c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:54.506624Z digest=sha256:4092de0c162078a4c036d7b362e9343832a874a0ddb9768f1664f7e322bba81f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T10:10:57.739265Z digest=sha256:64cd0c06f64524ff4b50dcf3f8eed53dc587dc8999b15fe46d8556d6b38452e5