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Paper Citation Record · LEDGER

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2601.21162.

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

pith.paper-citation-record.v1
2601.21162 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:07:53.317925Z

measured 32 of 32 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 2026-06-26T11:34:27.334024Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T08:29:42.102819Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6eda1c6-a956-46e8-bca0-c8126482e25e · outbound

This paper cites Palm: Scal- ing language modeling with pathways,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Palm: Scal- ing language modeling with pathways,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 00eabb3b-e670-40df-9e52-457de8394a72 · outbound

This paper cites Graphy’our data: Towards end-to-end modeling, exploring and generating report from raw data,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Graphy’our data: Towards end-to-end modeling, exploring and generating report from raw data,

Reference 2

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source=pdf_text observed=2026-08-03T07:07:50.782668Z digest=sha256:a8a0b7f16b6233b92f37074fe96cb5abc7b3fc509f2fa7545fe03770172e1f18

Observation cd2061d9-294c-4e1b-ae22-d123185720be · outbound

This paper cites CodeT5+: Open code large language models for code understanding and generation,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning CodeT5+: Open code large language models for code understanding and generation,

Reference 3

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source=pdf_text observed=2026-08-03T07:07:50.981430Z digest=sha256:2a44239d1d7b4754bfc15b454ec82c3c24c96f73eab72c8811d56395d7a45cda

Observation 57a7df41-91a5-4fb2-ae92-0cbdb4871edc · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Learning transferable visual models from natural language supervi- sion,

Reference 4

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source=pdf_text observed=2026-08-03T07:07:51.198808Z digest=sha256:fa48ca48875c385d5e6e55b6d73645c4dcbb25175e76b85283f74cbf05650146

Observation ab5a9da3-3034-4646-94c3-f7ab4fe0e7b4 · outbound

This paper cites Tabular-textual question answering: From parallel program generation to large language models,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Tabular-textual question answering: From parallel program generation to large language models,

Reference 5

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source=pdf_text observed=2026-08-03T07:07:51.273187Z digest=sha256:2b28e9a9c30b7650bf05eeee03e8a3f82c67446c3b3ffefcb79d4079c14dea29

Observation d5e43610-ea00-4ab8-bba8-64352b6af174 · outbound

This paper cites An experimental evaluation of llm on image classification,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning An experimental evaluation of llm on image classification,

Reference 6

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source=pdf_text observed=2026-08-03T07:07:51.335903Z digest=sha256:a6b97bd11ad0ec3e977b24602ab051c4c53a68210183d2aed5d76ec3caacfe16

Observation 86a915bc-2057-4d17-acb6-79d979b686b4 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Chain-of-thought prompting elicits reasoning in large language models,

Reference 7

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source=pdf_text observed=2026-08-03T07:07:51.409912Z digest=sha256:a1b3102c4865ad02dbaeaf5ac7f681a78e5d0d18b2c9f807719f3e60ba756745

Observation 3f7cfa22-56cf-4f62-a07c-90c6f8ebacc4 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning React: Synergizing reasoning and acting in language models,

Reference 8

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source=pdf_text observed=2026-08-03T07:07:51.469825Z digest=sha256:74258339248376d64bb9846667743156dfb0a0fc24b4bc6cf27ad316fa5110b1

Observation f7786656-b07d-43a5-9698-d29d693225b8 · outbound

This paper cites Machine learning methods in weather and climate applications: A survey,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Machine learning methods in weather and climate applications: A survey,

Reference 9

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source=pdf_text observed=2026-08-03T07:07:51.546708Z digest=sha256:cb81510a6fdd47c0ca896ba453a1ffdf762231b45b5e33adbbee50358401be66

Observation 9a1a4d7e-4785-4e92-85a5-4c891b50f1ca · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,

Reference 10

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source=pdf_text observed=2026-08-03T07:07:51.612646Z digest=sha256:7b2efa5f7dfad2f1c831b0c43432bb01a990b2a1ed07c6c1926a01cda2abf4de

Observation cc2a7313-fe4b-47d9-bdbb-a53951e330d6 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:07:51.705631Z digest=sha256:667fe54b41b1fe0814b4258f494cbb4d7f5a89c8439f8d59d03c205f3b5a063b

Observation 174a7412-6b02-47da-aa26-edd565dcf4a3 · outbound

This paper cites Retrieval-augmented generation for large language models: A survey,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Retrieval-augmented generation for large language models: A survey,

Reference 12

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source=pdf_text observed=2026-08-03T07:07:51.756846Z digest=sha256:a196ce4a7811e951ed0d73e6f556ece20e713fd13dd6e1282828e429bf4d0313

Observation 44829b5f-e429-4275-8d14-548918247323 · outbound

This paper cites Dense passage retrieval for open-domain question answer- ing,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Dense passage retrieval for open-domain question answer- ing,

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:07:51.833831Z digest=sha256:9236a1b5937b6898af434c4f7210836356811e9738050c30b89ff01770620c0b

Observation de53e05a-73c0-4528-9257-aa911b8200cd · outbound

This paper cites Leveraging passage retrieval with genera- tive models for open domain question answering,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Leveraging passage retrieval with genera- tive models for open domain question answering,

Reference 14

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source=pdf_text observed=2026-08-03T07:07:51.900691Z digest=sha256:9451c14f791db44afda16fdf18bee958dfca76c61fa87be5d0c23d06b0285598

Observation 08138038-6348-4c14-9651-bd9956ef281c · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 15

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source=pdf_text observed=2026-08-03T07:07:51.978790Z digest=sha256:c35da4ed8841fe643c4d6f89268dea8268e73df1d632864369db367f29692a51

Observation 6bc25a50-d934-4ebe-bfe4-b06ded601b9c · outbound

This paper cites Graph retrieval-augmented generation: A survey,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Graph retrieval-augmented generation: A survey,

Reference 16

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source=pdf_text observed=2026-08-03T07:07:52.120279Z digest=sha256:688603dfc18b08bcd049265819999176ee9a9e78fa3deb6e60e93713ac10fd0a

Observation b26c5d13-8c0e-40ae-916e-5f3658bfb414 · outbound

This paper cites Graph chain-of-thought: Augmenting large language models by reasoning on graphs,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Graph chain-of-thought: Augmenting large language models by reasoning on graphs,

Reference 17

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source=pdf_text observed=2026-08-03T07:07:52.197265Z digest=sha256:791471e397e870ac5157f63cb1599f1349032200819f6b54b86d775c1f9dd197

Observation 9138850c-fdba-4856-852b-d5a4956f93ca · outbound

This paper cites Scaling graph chain-of-thought reasoning: A multi-agent framework with efficient llm serving,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Scaling graph chain-of-thought reasoning: A multi-agent framework with efficient llm serving,

Reference 18

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source=pdf_text observed=2026-08-03T07:07:52.335322Z digest=sha256:ba2ffa48a734fb3e6f14f3b597eea38f6ec2b079371e2b1336bb5ff6d91b3e87

Observation d0e92727-c8ae-4004-a1dd-5e1848a4a212 · outbound

This paper cites Lightrag: Simple and fast retrieval-augmented generation,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Lightrag: Simple and fast retrieval-augmented generation,

Reference 19

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source=pdf_text observed=2026-08-03T07:07:52.468264Z digest=sha256:ea173d73a7267c1a5a4f825712cb188b1ee829b640965ee6069d753b7ae1dfcc

Observation dccd0d90-98ca-46ae-8541-f5a0f8fcbaf4 · outbound

This paper cites Aefa: An ensemble framework for fraud detection in the forex market,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Aefa: An ensemble framework for fraud detection in the forex market,

Reference 20

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source=pdf_text observed=2026-08-03T07:07:52.561072Z digest=sha256:4d4f4ec678e459eb2e23bbb9113d0f87f5b19ce95f513729e12a8d5c3796c80c

Observation 131e12c7-0b6c-404c-b29a-c4d8b6cfbb40 · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Hotpotqa: A dataset for diverse, explainable multi-hop question answering,

Reference 21

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source=pdf_text observed=2026-08-03T07:07:52.648224Z digest=sha256:ca49252201978c9a625e5e8137b93740145bd606288f4b9f2792b8002089d479

Observation dfaa28a2-3186-4ccd-b8a4-18b2a637d806 · outbound

This paper cites Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps,

Reference 22

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source=pdf_text observed=2026-08-03T07:07:52.708067Z digest=sha256:faa900024b0a8941cadd10b27dc016c7a7f7aca8211da65ec01c2fbb5afbcc56

Observation 668d2db2-8b42-4416-856a-05d200b9d62d · outbound

This paper cites Adaptive-rag: Learning to adapt retrieval-augmented large language models through question complexity,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Adaptive-rag: Learning to adapt retrieval-augmented large language models through question complexity,

Reference 23

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source=pdf_text observed=2026-08-03T07:07:52.799697Z digest=sha256:720b9f999d758473f664061a294930cd2262f428407b405c19b86e25bf82db56

Observation 7d5db91e-c36f-4519-a383-c1a7b23dd632 · outbound

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

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:07:52.904316Z digest=sha256:8f67f95d0e09fb633a7b073826cdacbdf5a1faae17278123a003590828afe4ae

Observation b5d6113e-f522-4490-b693-b8dd791f9422 · outbound

This paper cites Adaptive retrieval-augmented generation for conversational systems,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Adaptive retrieval-augmented generation for conversational systems,

Reference 25

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source=pdf_text observed=2026-08-03T07:07:52.977066Z digest=sha256:b0e94570d51cf6f31d1d199a4d9355d9a53fc94991241db4721f69a0a1eff51c

Observation 6bff1fb7-40ce-4061-ad7c-ae3bc48a393b · outbound

This paper cites Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Reference 26

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Observation 189c152b-2b4c-4410-b0cf-cbc1adfe9237 · outbound

This paper cites The pagerank citation ranking: Bringing order to the web,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning The pagerank citation ranking: Bringing order to the web,

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:07:53.123230Z digest=sha256:1b17b5dc2025071d31f3ad6c964408425c09fb731b21dfbb9bdcc1179efea677

Observation c58d490e-e5d8-4774-961e-ec139899d72f · outbound

This paper cites Topic-sensitive pagerank,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Topic-sensitive pagerank,

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:07:53.195191Z digest=sha256:028b307ee052c2cc558fe119ad1a8877776a32079b5d393e7d4d410a0d8d484e

Observation 87aedbe0-8906-4eb3-af0a-bfa07d8520e7 · outbound

This paper cites Interleav- ing retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Interleav- ing retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions,

Reference 29

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Observation 44e68f4c-268b-4444-af71-4f5c6fd3b117 · outbound

This paper cites From louvain to leiden: guaranteeing well-connected communities,.

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning From louvain to leiden: guaranteeing well-connected communities,

Reference 30

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source=pdf_text observed=2026-08-03T07:07:53.317925Z digest=sha256:082d019a9f7629e8ec5c7fa74fff31caf09dbd18780e232080374d7c1bf4c309

Pith citing papers

Observation 2ac24e15-59e9-451d-bd2b-21c0184cf472 · inbound

LARGER: Lexically Anchored Repository Graph Exploration and Retrieval cites this paper.

LARGER: Lexically Anchored Repository Graph Exploration and Retrieval A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning

Reference 25

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arxiv_id, observed 2026-06-05T02:15:33.230960Z

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=arxiv_source observed=2026-05-20T23:35:14.956528Z digest=sha256:7232aba57b32f0f39cf4d72546b5f8556704ccd1febbdf2d60b54adb80369073

Observation 91070690-bdbb-4ddf-bbbb-b74ce7132275 · inbound

RAIDS: Rethinking Data Systems as Responsible Intelligent Infrastructure cites this paper.

RAIDS: Rethinking Data Systems as Responsible Intelligent Infrastructure A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning

Reference 81

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metadata mismatch
local_arxiv, observed 2026-07-04T08:29:42.104059Z

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.

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