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Paper Citation Record · LEDGER

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework

As of 21 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 3 inbound Pith citation observations for arXiv:2511.05385.

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

pith.paper-citation-record.v1
2511.05385 v2

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:33:53.211739Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:50:21.250091Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:59:59.020324Z

Reference resolution

88 of 88 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved87
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 754ee07a-4f97-4359-9eb4-ba47fbfe07b8 · outbound

This paper cites Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:43.179510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:43.179510Z digest=sha256:147a25b20dada105125c721e14cc944b7ebdafc9ff1a9768e6f44e366b49121e

Observation f7b8f035-c8dc-4149-9a43-9ab042e6154b · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:43.270111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:43.270111Z digest=sha256:a12703998272ea0d9bd28ed46a80bbe97f3a8f5b1fa3a343c18e78dc5828a7a9

Observation ddd3e84e-3660-44b9-b40f-2e67fef6d16f · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 3

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unresolved
no resolver link, observed 2026-08-03T23:33:43.390003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:43.390003Z digest=sha256:cefca8795cdcf10377b2f0cd0d438a6cefc42d2f5b967925a27ec60d891d4172

Observation 709f1fc5-6c76-4191-828a-684007e0b7a5 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:43.494023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:43.494023Z digest=sha256:31a38b8ddcff9e67a64892c09351059baab65291c1a61f1aef1d4e7cdca98f4c

Observation 16f62a86-afd4-4256-b269-927456b12460 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework C-Pack: Packed Resources For General Chinese Embeddings

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:43.605424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:43.605424Z digest=sha256:3af05f564225ae83937cc86a136d10d02c0e030e239900d6ea6485cb722a645e

Observation 8fd82509-1ce0-4862-a923-d95c93270530 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:43.699466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:43.699466Z digest=sha256:8812941792d3f340ccfd4a6a904d0a486ebb1feacc309f8c7d133a8b3c07b060

Observation f1f5401f-2aaa-4042-967c-d4b895f50141 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:43.810560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:43.810560Z digest=sha256:13ee997fcaa8aa82eda6431102a8c81425a20dd8a645a509fb8ee1e188d008eb

Observation f580d67e-18c6-43e8-88e1-934b3c9b2af8 · outbound

This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 8

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no resolver link, observed 2026-08-03T23:33:43.924269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:43.924269Z digest=sha256:d298518b349065761622b7763b9b844534390cecbef3f0194864ed10258c9095

Observation d4a86303-f575-40a4-8c16-14a8eaaebcf6 · outbound

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

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:44.047206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:44.047206Z digest=sha256:c22cd9483c2f173173d5b44ddb065c2448bd27716d7dbf5c39b90497f57b6a5b

Observation d07e9217-b336-4f9d-9700-8f99286b8870 · outbound

This paper cites KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation

Reference 10

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unresolved
no resolver link, observed 2026-08-03T23:33:44.155324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:44.155324Z digest=sha256:af5158b0fd3c50c8708b9b0bb841c404fa1ed7339b3c0aa5f91bdcaf5bf55517

Observation 2ac6e87f-087f-4281-96e2-fe02598705b7 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-03T23:33:44.261598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:44.261598Z digest=sha256:eecf72c477e1964f105af27f0788753a4696dd5a5bb841ed7d1ac590d063aa7f

Observation 6e654617-b524-4299-a5f7-3fd4499b1627 · outbound

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

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 12

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no resolver link, observed 2026-08-03T23:33:44.341518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:44.341518Z digest=sha256:fc21053d6450249ea26f0d166d7a7b23ddb7755f771867dbbe8c37f1d70d60d3

Observation c23e30d2-369e-41ca-b35d-2d4e753bfafc · outbound

This paper cites The Llama 3 Herd of Models.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework The Llama 3 Herd of Models

Reference 13

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no resolver link, observed 2026-08-03T23:33:44.477465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:44.477465Z digest=sha256:52e3d5374c41a7e8895eabd5e24b9712081e9cb38ec3e224a7c6f5f0dd216cf0

Observation a05f444d-443c-4c1c-a2fd-c845f9f2f3c9 · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:44.588480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:44.588480Z digest=sha256:acf3a8b1329f7ed12bc16bb354e424cca2dde04a3b0ad50998548e23340fae11

Observation a25fcd72-7598-4164-b58d-4eb8ee8eab1f · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 15

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unresolved
no resolver link, observed 2026-08-03T23:33:44.700005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:44.700005Z digest=sha256:bee53f36c5493e11a70776cb34cd0906a4957c18763f2f56cfdd04dca1951b9a

Observation d0f7396f-4ae7-42e2-a976-6acc2636d882 · outbound

This paper cites From RAG to Memory: Non-Parametric Continual Learning for Large Language Models.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Reference 16

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no resolver link, observed 2026-08-03T23:33:44.820159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:44.820159Z digest=sha256:a352fbe028df9c8b80b002081556e561b5ea9d57ffb6f5b9911afd113516ab74

Observation dfa3254b-652e-4ab1-8857-73e50acd4e89 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 17

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unresolved
no resolver link, observed 2026-08-03T23:33:44.920785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:44.920785Z digest=sha256:787c8c2c6951b1f32430c43c913eb023a2b5ef1131948939cc368fe7081c698c

Observation dff22137-5c1a-44d2-a454-96f89d5e9a10 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 18

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unresolved
no resolver link, observed 2026-08-03T23:33:45.098829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.098829Z digest=sha256:d06111f8c57193b352159465f38a2ad2224869ac7dacbb35bd6385b9c1ad93a7

Observation a756dfd5-6d49-4d86-bd0d-6e04509e0067 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-03T23:33:45.203522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.203522Z digest=sha256:112ff2a9e9471d048cfe15aa155392318567426f45eb23d142e91239d209d565

Observation 485cae49-8f82-43b5-a7a6-8766081e5fc2 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 20

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no resolver link, observed 2026-08-03T23:33:45.361578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.361578Z digest=sha256:de4d9e245f09b1b281e35baebed038b56201b24260c2f8c89822a580cb6babc3

Observation a4a1402e-e231-4f33-a8df-d95a6cf250dd · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-03T23:33:45.414047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.414047Z digest=sha256:8dce859921a57e032dbc44caecea552eeaeaab40dfc48d5aef80c1e3dddb6ab4

Observation 6cdd10fc-a440-4363-b28b-93fa8e40109e · outbound

This paper cites OpenAI o1 System Card.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework OpenAI o1 System Card

Reference 22

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unresolved
no resolver link, observed 2026-08-03T23:33:45.516634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.516634Z digest=sha256:4cead0ff815f132f01ce5decd12d14bab95a515b0b81ac7bde0defcf6b1f87b7

Observation 881ef52f-9ed8-4704-a589-ff0f85a019b4 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-03T23:33:45.596381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.596381Z digest=sha256:23c3278eae9b0b8b77f3f4039918e07bfdd2101546bc5f94ed38e6eca356be1f

Observation e83a628e-de60-4884-a112-91f5a898aa4c · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 24

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no resolver link, observed 2026-08-03T23:33:45.653807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.653807Z digest=sha256:3597ebef73b6bf90d8752db296ba34580e2330c3076361d2bea6a6a7e69adc03

Observation 0cc265dc-27ef-4997-b2b9-84f65d377c7d · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-03T23:33:45.726839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.726839Z digest=sha256:017970da25d58cc0a0df468a3ddeab29f7de83ce35c62cd57371ef5c24f92731

Observation 85761933-03a2-4669-961f-021236f6c4fc · outbound

This paper cites An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 26

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no resolver link, observed 2026-08-03T23:33:45.833809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.833809Z digest=sha256:e18856392c330088f855cb098eeebd8c2edf2e47bc87c73ed6a1e92da93363f7

Observation adaa63cb-7069-4cca-88e5-f0db0170a888 · outbound

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

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 27

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unresolved
no resolver link, observed 2026-08-03T23:33:45.944239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:45.944239Z digest=sha256:c54c5481953513c3c965c1c4b7926a11eb3d1245eb277ca0c0460406fcefec4f

Observation dbcda009-6942-4649-a6bc-e349619794c6 · outbound

This paper cites FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research

Reference 28

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no resolver link, observed 2026-08-03T23:33:46.023601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:46.023601Z digest=sha256:f3d6ef37ad745dbac8407a8130d5f9abc11848f18584fd92cbf43fe09cf839c9

Observation 66e5baa9-4563-4606-9a17-26b397623c65 · outbound

This paper cites Why Language Models Hallucinate.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Why Language Models Hallucinate

Reference 29

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no resolver link, observed 2026-08-03T23:33:46.112856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:46.112856Z digest=sha256:e1b1d816ca86ec5645bb7ec1b11f1fc73dd6cc38875e168a413c7112d0783743

Observation ec3f3a0f-cb80-47b7-862c-ea3e19440340 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-03T23:33:46.189029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:46.189029Z digest=sha256:bff92d444c8139979382b8408f80285d05a69235b561b8a2cef0740db1b42954

Observation 91bf9f11-8873-4cd7-943d-286c09bd15ad · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-03T23:33:46.269146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:46.269146Z digest=sha256:15d794fa7ac9328da55268af7e79d46adab33864499621a1447aa5e8754d2b3f

Observation a5e0fe5a-4e4f-414b-9c48-d454a70ad199 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-03T23:33:46.312375Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:46.312375Z digest=sha256:9e13fa23e17c2753ad305c0bf25f76d0a9e419abceaea29f1fdd34dbd539b93e

Observation 5fe5b1af-618d-4ede-9256-6d813f7541c7 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 33

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no resolver link, observed 2026-08-03T23:33:46.396463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:46.396463Z digest=sha256:63839ac1d05200f98cdd5866d0c3710f608760fc6c7dba8c9830c33337a100c4

Observation 5f9235f5-2834-4414-a2db-9d7f6f46455b · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:46.480572Z digest=sha256:c5c05089ad06631c8b46924214ecb96c81fb3e3bef09b147d3064f69ef6da6ba

Observation 96de4be3-7457-48d5-b4cd-f98fb795fa69 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:46.558215Z digest=sha256:0c5e62255affebfcd6faa0715109d4dc4b206b89ecb572249ccf714ba861d425

Observation 4c61fd12-4ecf-4348-9a7d-fc08d302d8fa · outbound

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

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 36

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no resolver link, observed 2026-08-03T23:33:46.640034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:46.640034Z digest=sha256:122541f2cea96bfe21635ed1cc1f73130d7b5e95f0e9c8abc7c244d22f92ee83

Observation ce12a189-fa10-4e8b-a7c4-19b9bb361bd3 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 37

Resolution
verified exact
doi, observed 2026-08-03T23:39:26.932395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T23:33:46.734123Z digest=sha256:25f53e034f9aca4fc971c03de9c7825889ded57b5d26f5aee2dd8a34a0bc8ccb

Observation 2c22fc88-86a7-4896-823b-c9ff2e8e9b40 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-03T23:33:46.840787Z digest=sha256:fca7a64ae5e2a878f80d5174ab4a18e1c0cac44458f255b130f583bb1fe21966

Observation f3aa3d38-dd30-4d51-bd6c-a22840562d38 · outbound

This paper cites Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning

Reference 39

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Observation cba41243-7c11-4ab8-a258-5c4e49380d96 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-03T23:33:46.989246Z digest=sha256:2e122b819e897e4914f0453162552f89e1d6c5c9038acb4b51cf5a67ef4e2f95

Observation c36c8717-5cda-4ccb-9be6-4d13d2f1e037 · outbound

This paper cites Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 41

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source=pdf_text observed=2026-08-03T23:33:47.103675Z digest=sha256:7f2564873691bad78b0404ad55318e919770eb774fc18a6090d7d9815a181909

Observation 2f882578-b734-4a99-9e98-702bf6c7e5c9 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-03T23:33:47.217312Z digest=sha256:4fcd88db956e52547828bca818b3639a1393b9fe6a0f29ffff18395442946305

Observation 0ea10c66-5043-42bc-b6c8-14ad1b0ccbf2 · outbound

This paper cites GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval

Reference 43

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source=pdf_text observed=2026-08-03T23:33:47.315845Z digest=sha256:97a606a0f0619fef3fe97b434ecb6e2c7a7c937a290bdab3a491551c13974e6b

Observation abbad649-150d-4391-8cc3-fc0682ea39bd · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-03T23:33:47.403379Z digest=sha256:fa2bd66c99d941cbb38d0be05fa85b3d038764edd5cd43138ef8815a42f3d9bb

Observation 1dcfa181-8f42-4f7f-a185-0939bbc5dfe3 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-03T23:33:47.551137Z digest=sha256:7abaeb19bce24cae4a15a914ed8fb745f859d03b294f7bfee6f13643579ac60a

Observation 5cca2167-75d1-4e8f-8e7b-584efa31fb36 · outbound

This paper cites Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

Reference 46

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source=pdf_text observed=2026-08-03T23:33:47.656121Z digest=sha256:d1e4e4c605e014475ceaf1fc4feef84775af2c2789dbe6718731afb4ef8af946

Observation 862a2dad-bbdb-4733-9e92-82fd83e9faba · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-03T23:33:47.776916Z digest=sha256:efffb85ecd642752e9de7592290c0b9a5e1c2106d7198f9cb859ca2105dbe10c

Observation 5708767a-318d-4c40-9092-4784c7a3d60d · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-03T23:33:47.931778Z digest=sha256:138ff000b7f534e2ebde9ce2d8599ede1f5456be330ce421f5fff1449463a9a1

Observation 9c6272a3-1508-460f-beab-c84da7abaae0 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-03T23:33:48.075927Z digest=sha256:a39425b4113df9199154733cbd4f86b6275a7fc7fb7d4a99d166016add3959ae

Observation 71d746b0-af1c-4c72-9e6b-5fc7141abacb · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-03T23:33:48.145078Z digest=sha256:10d96448e8b7dc5f621c44b17fad55b5bdbe4170cbaed6b5da117a174bc24091

Observation 176915b4-a595-4c1f-a452-e10b4e01e9aa · outbound

This paper cites Proximal Policy Optimization Algorithms.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Proximal Policy Optimization Algorithms

Reference 51

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source=pdf_text observed=2026-08-03T23:33:48.292232Z digest=sha256:d813a62592360f7868a505f3d5e71645631a22763bb101af7941e6f2a9f1bcdf

Observation 232694c7-8914-439a-a3c0-db442a847d42 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 52

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source=pdf_text observed=2026-08-03T23:33:48.393792Z digest=sha256:c29f5bb5bef413ef39fbe6641a303151be7d7e5f0d500511c34658db14603e51

Observation 632ec22f-8943-4244-8dd0-70dbe1981a96 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-03T23:33:48.552575Z digest=sha256:2510bb0276b291fca1434888bee6ae5836d0584a0114f92953cb8b5a00ad8ee7

Observation 8ad44749-8169-49bf-ba2f-212aad5e107e · outbound

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

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 54

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source=pdf_text observed=2026-08-03T23:33:48.708856Z digest=sha256:8576e2eb0678a0c953398ae0e43ba87e51ae4ab72ceb05ba2d8d418c3e0087f1

Observation 20590e67-578c-4d05-ad0d-b7626605be55 · outbound

This paper cites R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning

Reference 55

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source=pdf_text observed=2026-08-03T23:33:48.826807Z digest=sha256:cd2e92d54856081a8af4842094369ec0408e9051b346ff24695029239e2b58f2

Observation 16849526-b346-475d-b034-e8691d606a4e · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 56

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source=pdf_text observed=2026-08-03T23:33:48.943481Z digest=sha256:f6ddf5a47c1dd57a4c5b57867a1a4f5c9f61cf28ef95cd918c174127860aaebf

Observation e606a367-fd9f-46c3-a7cc-7abd2ad901b1 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-03T23:33:49.094082Z digest=sha256:91ef1db985621c9e6c4c7bc045b0df54f01003dd9b484c4ccee22893366600ab

Observation 00b2212c-0c9b-4103-a2e7-9177959345b7 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-03T23:33:49.221598Z digest=sha256:9d10793c322fda86dc7aa60fd407e8710b6d72c04751ddefd5246c392fd305ad

Observation 7f533f70-08c4-4700-8355-541337efa4e7 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-03T23:33:49.329467Z digest=sha256:c1cf96e94c391d5eab209fe8d450166bcc573e3703a57e791d686548891d329c

Observation 921189dd-55a7-47c7-8c07-88391aa3e3ff · outbound

This paper cites Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation

Reference 60

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source=pdf_text observed=2026-08-03T23:33:49.468251Z digest=sha256:e633e8f9c4506c081a5318433374521bd31bdbdf13f05e6ae054ae15ff9efae7

Observation 2b50acf1-8300-40fe-873a-24841e9b2aaa · outbound

This paper cites Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation

Reference 61

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source=pdf_text observed=2026-08-03T23:33:49.599997Z digest=sha256:57f0303768e6a884eb86f9d35bf7fea171f9a89d1a12a1a5fca48bf2bfe0b603

Observation d009e0db-32fb-447a-9a49-1bf9053394c9 · outbound

This paper cites Acting Less is Reasoning More! Teaching Model to Act Efficiently.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Acting Less is Reasoning More! Teaching Model to Act Efficiently

Reference 62

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source=pdf_text observed=2026-08-03T23:33:49.696329Z digest=sha256:cb468ad4ec0255ac1ab6586ce7a6e98c6abbc9f06f664893bd96c16a02384283

Observation 5f3373b2-d863-46fa-998a-ccaa58fa8546 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-03T23:33:49.820531Z digest=sha256:c046dd30a7dcd1d92a37ee4da28884ed763b91ed6cf0b15b992c59bcf25dda46

Observation c4e66ebc-c667-44c4-9bb9-2929d1ae35c0 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-03T23:33:49.942978Z digest=sha256:3d146dd07b21fdb59c59a0193cae8f98fbe58e8aedb2b5fa27f0e67c1dbbda16

Observation fd6cbdfe-9fbb-4bd9-970c-dfdb4a059a8b · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-03T23:33:50.189532Z digest=sha256:d4d599ef48e607081dd2505ffe0ec1ad8e5bb73ab7003ddf654c7d06ec15cfc6

Observation 77e100f0-2904-4f0b-aea0-c0055fab618a · outbound

This paper cites StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization

Reference 66

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source=pdf_text observed=2026-08-03T23:33:50.356852Z digest=sha256:4b2f011181eed739b7c21648f8463fdde191a09403e6902f5c7671ab24914cdc

Observation 44fd8f36-67cf-4bd7-8a6c-c634d48892cc · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 67

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source=pdf_text observed=2026-08-03T23:33:50.075696Z digest=sha256:73bc72053a497456215de7f1c2df5f16d4a9f34645e07a912530d802e71e4f94

Observation e2e87cb3-0435-455e-8590-bda005b55f76 · outbound

This paper cites A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

Reference 68

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source=pdf_text observed=2026-08-03T23:33:50.580515Z digest=sha256:d9d2c4d4476b9a6f3dcb4d24a63378156d1420da0badbc97175942bdbeefa574

Observation 07179ed3-0ad4-447a-8411-ae8913249b8a · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 69

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source=pdf_text observed=2026-08-03T23:33:50.740867Z digest=sha256:50fabbb7080501f0b5f681fc400ee5ff86dd24df9b0296c6108634eef6770cc4

Observation 15464c24-215a-4830-83b0-12948522f5ef · outbound

This paper cites HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks

Reference 70

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source=pdf_text observed=2026-08-03T23:33:50.451913Z digest=sha256:fd9eb89ebd2f81ca4d99621efd3b06b4c383646c57401bf58cb36e52895f4810

Observation b2652422-cadb-4ddc-b1f1-14a28d336760 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-03T23:33:50.991464Z digest=sha256:de975c3105c0fb5018a159afd5a7c24756eb08d40356efe14a4357646dac640b

Observation 56eec00b-495d-4f1c-9e30-41b61f20ba02 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 72

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source=pdf_text observed=2026-08-03T23:33:51.151076Z digest=sha256:ce6b63d098a613f8d106245a90147ac78ca50c666969eab24cfb13d3649a08c1

Observation 7194ae07-8a65-409f-a265-9d270ffa5d70 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 73

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source=pdf_text observed=2026-08-03T23:33:50.875210Z digest=sha256:38a532fe4b5f87cfa7c803b698220e8b10c7838f8284d6915cd7a460c2dbe1d9

Observation 01a8128e-bf5d-4b43-8d4a-25aac5dc4243 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-03T23:33:51.469546Z digest=sha256:d9f0c578f7263e34104378ae353c1bcbd4ab5e06a7e6387a009cac8e2393c4a4

Observation 0ba8a463-5e18-48c9-88c2-17bb78ee754c · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-03T23:33:51.657752Z digest=sha256:2de9dedacb6ac187ca49aa96dea115b4ed7027d0200529b12f7cd52e3c43ff8a

Observation 34af8eed-33e3-4379-8ed0-c47bb84ff8a2 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-03T23:33:51.295738Z digest=sha256:5090eecf368b6d97727cc64ac0a80a63ff499aed14d924e4575274dced4b58c2

Observation 8e2cd354-e0a4-466e-89b5-5e40fd861fbd · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 77

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source=pdf_text observed=2026-08-03T23:33:52.014426Z digest=sha256:61ab1a086c7f97e21720f2359c9fbd858acdb9982779de03e9cca3c486ba53bd

Observation 563d568e-ed4f-489f-9cd6-76f7c4706dda · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 78

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source=pdf_text observed=2026-08-03T23:33:52.193053Z digest=sha256:934cd362a3754a15e31d19999d9e5b98e160bfd7469330b1bd4701fc3d5613f1

Observation ff152fc1-d201-4376-9f1c-de1bba3bcf20 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 79

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no resolver link, observed 2026-08-03T23:33:51.818161Z

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source=pdf_text observed=2026-08-03T23:33:51.818161Z digest=sha256:14c8bac3af85ec4b29c828afd46e77dcb468d7a1930b339337da347e1120613d

Observation 62472020-8e40-409a-90d2-39fdac296a58 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 80

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no resolver link, observed 2026-08-03T23:33:52.521760Z

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source=pdf_text observed=2026-08-03T23:33:52.521760Z digest=sha256:5dd51758762f2f2e9cdadbc40d37d8f98912239eeacf46b21e6f2a3772833fd5

Observation ed8f45d7-c6aa-4283-9ba7-b62e7c00abc9 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 81

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no resolver link, observed 2026-08-03T23:33:52.793370Z

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source=pdf_text observed=2026-08-03T23:33:52.793370Z digest=sha256:0d6139c95f42f54c449ab3c874994dd9464bbc1a0f55d7933e210b959b10509e

Observation 814b4f5a-e4a1-43e7-964f-bc606e01dad2 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 82

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no resolver link, observed 2026-08-03T23:33:52.379798Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T23:33:52.379798Z digest=sha256:7985c484e7282f4a8a0a6ab22627513c8af16d7fa0e428d192606a76a49ce56a

Observation 537d676e-3a80-484d-adde-02a28f965391 · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 83

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no resolver link, observed 2026-08-03T23:33:53.094742Z

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source=pdf_text observed=2026-08-03T23:33:53.094742Z digest=sha256:1e0f5ec925962d00dbbfa71d4c21855395fc6c5d0bfc14ad4549b5618219da1b

Observation 5d81a624-c2b4-4b69-81f4-ca0bf59d5b9a · outbound

This paper cites an unresolved cited work.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Unresolved cited work

Reference 84

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no resolver link, observed 2026-08-03T23:33:53.211739Z

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source=pdf_text observed=2026-08-03T23:33:53.211739Z digest=sha256:10de0c6a2ad6c833c687c184003263d3c9fc5bcdc97ec7478b8ad85cbaa18b50

Observation 3372b021-128e-463a-9bf3-b4508077d489 · outbound

This paper cites Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective

Reference 86

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no resolver link, observed 2026-08-03T23:33:52.937067Z

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source=pdf_text observed=2026-08-03T23:33:52.937067Z digest=sha256:2a0053c15ab3cd356588ce40644f856ea9a8a7667fcf79a4980ea8187e319d87

Observation 2d1993a4-4f37-4add-bceb-10497667904d · outbound

This paper cites ICLR 1, 2 (2022), 3.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework ICLR 1, 2 (2022), 3

Reference 2022

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no resolver link, observed 2026-08-03T23:33:45.275765Z

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source=pdf_text observed=2026-08-03T23:33:45.275765Z digest=sha256:37a32cda9dd0ca87ef5e78d830fad9a85b2b29982b32aeda58a7c94901f701ba

Observation 108f02ad-46ef-4607-bd6f-ede92466679d · outbound

This paper cites arXiv e-prints (2023), arXiv–2308.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework arXiv e-prints (2023), arXiv–2308

Reference 2023

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no resolver link, observed 2026-08-03T23:33:52.642858Z

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source=pdf_text observed=2026-08-03T23:33:52.642858Z digest=sha256:2704d83ce5efa60e4e1db970ace1538a2c1c8f4926f0e405c96894c7f774525c

Observation 5f9eb4d3-15a0-4440-bd3f-01e1d5ab5e77 · outbound

This paper cites NeurIPS 37 (2024), 132876–132907.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework NeurIPS 37 (2024), 132876–132907

Reference 2024

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no resolver link, observed 2026-08-03T23:33:44.988326Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T23:33:44.988326Z digest=sha256:332b42c6e6c99d44e1679bf9791da128bc050567d712be37bae2675c9e1ec763

Pith citing papers

Observation 54840dfc-51ec-4456-abd6-fa59c941a72d · inbound

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments cites this paper.

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework

Reference 81

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verified exact
arxiv_id, observed 2026-07-24T02:22:55.921170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T09:55:17.236296Z digest=sha256:1d49b9a376ef9a5fce70155ddb383b856d53eb34b43ea2f4bef69155f013e4b5

Observation 1c111670-d9dc-41db-bb36-a2a4abca120f · inbound

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases cites this paper.

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework

Reference 15

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verified exact
arxiv_id, observed 2026-07-24T02:22:55.921170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T12:10:01.748436Z digest=sha256:4c2b4eed4617adf2aa1e7d33b24369aa875e80d2aa6332841f0ac99e34fcd250

Observation be461e12-27a8-47c2-96b3-ea5474098a43 · inbound

HyGRL: Adaptive Hybrid Graph Reasoning for Multi-Entity Questions cites this paper.

HyGRL: Adaptive Hybrid Graph Reasoning for Multi-Entity Questions TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework

Reference 4

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no resolver link, observed 2026-08-02T08:50:21.250091Z

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source=pdf_text observed=2026-08-02T08:50:21.250091Z digest=sha256:84d50527ab6c46bdcd320c21288708cbd50cc2c07b211aa9bf58777a522e8686