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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 2026-08-17T06:30:58.91139+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=sha256:1de0c82d7cf6042f2f243b999d077cbd19680a22734572eb61b516a60c7e57b3

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:cce3116a43b58fedb302c52f15f5c892e69b56bf5e806395aa002435d494504f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:07:51.198808Z digest=sha256:3844fafec139b4a2d11d604d876db89fbaecc996cdcfbe35ed665cb309b39d6f

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:ce3f548cf813f93725863e6498ffb22cc309f81417f7c41a9d101cfa94e89124

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:b12c6c4aec91450263fcb9bfe3a5b70da47a022f05f9f9dd334773e47803b5df

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=sha256:764cecb7eb27d5697c37c2d1cb7cb20d8874bbae51f33a778ca902c4049c5da1

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:bed9c49028163d85737a8d2a7a9cae902a57ff2782561e94d331faf57912b9c1

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=sha256:6bf195ea14cbf9b7bc392402bff2605ec9f841cc64775474b5bcedb24e2d0fa9

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=sha256:97efe119e27ec4d3294c35292a684773dde204873f8a1ee7782d5660b8b8851b

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=sha256:11cae8ea78a665717c58dd06d74626b93afb03a34154c6025200a633fa8a886e

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:b26e882d46960b799181ab67ba57bc4285e1a95995837f75228143898ccc60e9

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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source=pdf_text observed=2026-08-03T07:07:51.833831Z digest=sha256:ab90bb67b48584b421fd4b89f8676fbab922fa676a9e4ef5fec8d14c5f8dd629

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=sha256:60331c9e3cb612d2e2e0a7c64bcee828f887a272d6fac0fe65359e24ab65cbfa

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:dc72049e15b7eec0df330c2d02af1df75b5b8d9a54550df32faa58a95aa1b161

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:07:52.120279Z digest=sha256:6623ef53522d295f1dd5e0830843cc3f917bf9804cb23c7ec426585c32bfab72

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:07:52.197265Z digest=sha256:86621c0ade3c63b0b5d17358ab3444f4de53b1aaeba62e6db6e07f96e7c3560f

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=sha256:9e5ea5822e1f15318dc29b23b22e6d448df8671f68a1243294e2f87937ffb964

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=sha256:551e9026a2986b5331ea4a4f6af3aab184bddb0c8e46033d1e209bd019d47068

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=sha256:40c8567491b0c78762ad8c569062f6c3bc483c1eb0753e8b1f1d9186a6f502be

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=sha256:2fd569129f9c40b246c728d059ea8748ca4b542b86cc743e81486051e9ee8b01

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:e1bec93b83163a122f0c1c627ae296adc8cf67986057114fbc0afbb2b44f3a9c

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=sha256:03a3a5a80747de012c5d69dc8a01cacaeced3d933e4f94c6b000d24f0e84be67

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:d51c0a623dccee8e03212ea316514dd891b745918c64e8c101fcbd9ad2781e87

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=sha256:85543ec159b2b5a9d55b1c36e56990f53bf195a8e9120a46f086004768b9f7f9

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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source=pdf_text observed=2026-08-03T07:07:53.050001Z digest=sha256:3a5cc460873b4db19ad8eea4e92e4a6e22a5d34e6dbbd910399b3e32fb8b1646

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:c26f2ebd7d431d526eda8567cf97b12f50b370365e1a0d50e7bcec0ec33a0f67

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=sha256:9ffd0bb770c90c9a8abd60325ae04e8d0d4e1df886fe2cc3d32279f77acf3900

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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source=pdf_text observed=2026-08-03T07:07:53.239868Z digest=sha256:5152b3e7ba685fb9c17f67da1f86960e6465f9321e56d15900b050f9f5b5a1e9

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:d6b4f927b9e6e5cca98fde41cc4543d2dcb9fbe83e4d770c31056605f74a1592

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T23:35:14.956528Z digest=sha256:8c915f22a19dc5a930de18ab937c7442f2bb5c6602b287475d792593f9363782

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T11:34:27.334024Z digest=sha256:76e699371ffe55c88180b118a7f566b9861a80e685e0f2abd82664f0252f455c