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Paper Citation Record · LEDGER

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

As of 20 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 5 inbound Pith citation observations for arXiv:2505.07233.

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

pith.paper-citation-record.v1
2505.07233 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:27:09.796234Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:14:22.228092Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

83 of 83 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved54
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 274e25ef-54ce-48b2-9cfa-dedba8afaf94 · outbound

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

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
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no resolver link, observed 2026-08-15T22:27:09.318603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.318603Z digest=sha256:98f34fd9d1ae8ec60d78ba0433b05bdce2616a6d8272cab618e2c40bc26cc954

Observation 091b43e7-1b1c-4989-aec4-67faf829f90d · outbound

This paper cites Bevilacqua, G.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Bevilacqua, G

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.325037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.325037Z digest=sha256:0cbe9c392857ecaaf1a0327f05f30920d22472ed25f100062147ff3afa0303d3

Observation 46be321d-16ce-4353-99f6-960e1fb8e697 · outbound

This paper cites Borgeaud, A.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Borgeaud, A

Reference 3

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unresolved
no resolver link, observed 2026-08-15T22:27:09.329817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.329817Z digest=sha256:9931e1ac658264a77758f03f7a7b7f8b0d77bddac8b3a0a2239b543798c3aa7c

Observation d2182452-4767-445e-bebc-1229db1b3169 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 4

Resolution
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no resolver link, observed 2026-08-15T22:27:09.335148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.335148Z digest=sha256:a7e265df53b8b0a4689b4d541e8b0d071e0e884bca58fe3da962b3a75205d5e9

Observation 1a250067-376e-4179-b2f4-339fdb534238 · outbound

This paper cites Make Large Language Model a Better Ranker.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Make Large Language Model a Better Ranker

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.349539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.349539Z digest=sha256:3fb370a6a304f5f00b0e6de3daaec03e5715a1f36ce79f4e381ec9507c68b6b0

Observation e0ef2b05-2463-4f85-b896-e4edf2fabc7e · outbound

This paper cites Benchmarking Large Language Models in Retrieval-Augmented Generation.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Benchmarking Large Language Models in Retrieval-Augmented Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.354564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.354564Z digest=sha256:de338f18a478b3f139ae8b7a8ecddf63f950d34dfb72b1ab85f1ae516f1d6726

Observation 6a62aa87-b349-4aac-a1d4-8ba61f180639 · outbound

This paper cites Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers

Reference 7

Resolution
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no resolver link, observed 2026-08-15T22:27:09.361486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.361486Z digest=sha256:460f469a9868fcbfd06198c004dc33b71ac4df8b706cab9e0b9fd45d2ac672b9

Observation 3dea3c07-ee87-4bba-b40f-a9216ac24f8b · outbound

This paper cites Devlin, M.-W.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Devlin, M.-W

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:11.006273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.368528Z digest=sha256:8877ff2745d7544c26c9fb349e4ace79bf3e1e43805fa2ab572aa941cd94a5ea

Observation e1ce27f0-8b27-4c35-a55f-b280281c2be7 · outbound

This paper cites PaRaDe: Passage Ranking using Demonstrations with Large Language Models.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation PaRaDe: Passage Ranking using Demonstrations with Large Language Models

Reference 9

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no resolver link, observed 2026-08-15T22:27:09.374459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.374459Z digest=sha256:2680244f1064b3bd4ae581acda33ce6a444ace5df6cca57baf96273279989e40

Observation e80d56c0-52ee-4630-8009-c4d58655df00 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 10

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.991048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.382391Z digest=sha256:7def7a624c223cf3fc37f648eb31b06160f78c03caa3e082d6c4104ad1839cbd

Observation 8cea9750-8e0f-41de-8f81-89e504769376 · outbound

This paper cites Gangi Reddy, J.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Gangi Reddy, J

Reference 11

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no resolver link, observed 2026-08-15T22:27:09.390486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.390486Z digest=sha256:231d06d91adc9c224d69e9fbaefd3ac2d3d0bfa281303aa044993bc350712f9c

Observation a495e244-df69-43ae-b102-1b572720d26b · outbound

This paper cites SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.395240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.395240Z digest=sha256:dd9c65acdaa3946f789fb06ed1ae278de75830d4b9e0f8650191af9e1384c764

Observation 29b1f460-05bd-4f11-8532-8c849d8564ac · outbound

This paper cites The Llama 3 Herd of Models.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation The Llama 3 Herd of Models

Reference 13

Resolution
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no resolver link, observed 2026-08-15T22:27:09.402203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.402203Z digest=sha256:1b63530468c2bea59c7ae32f8a762c6044e48ca4631eeaf38bdb13f202fd2c29

Observation 60903791-c20b-44c3-99f9-9ee7eb69b21b · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:27:10.973282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.407206Z digest=sha256:250900a50fa370a250aa38a1f80ad6b7e612c6c1425732fd4f0a7f68b914f01b

Observation db54899e-53b8-42e1-a8dd-34c2f8465431 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:27:10.959646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.412211Z digest=sha256:e8a3d0e0c605fe850d13dc79c610ab28e5d97d6e4c2841d0334d1ba5b790af6b

Observation b5a94215-b720-43e7-9d3d-59bbb24bf7f7 · outbound

This paper cites Izacard, M.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Izacard, M

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.944421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.419686Z digest=sha256:4fa6bcdfaf8f294f72eb792c85d31b8478d015f528b3cb59aa132fc2353fed16

Observation b8252fa9-3b7d-4233-a802-ae979ab710c3 · outbound

This paper cites Izacard, P.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Izacard, P

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.917715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.431896Z digest=sha256:a67259745eb5630ce61a83a57dfc20258b30d200e61e10176d262671cc2c800e

Observation 20c71748-38db-4baa-9e8f-4960a5d04843 · outbound

This paper cites Jiang, F.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Jiang, F

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.902506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.437247Z digest=sha256:cc4420e11898e4d8f0886ac2ed6aabb4e6b09d9eec1d14aaaee920f909da7afb

Observation 2c207653-8a83-4be5-ac94-a71c1e35c312 · outbound

This paper cites Joshi, E.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Joshi, E

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.874589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.446405Z digest=sha256:e80544ef74d3042e8182a14018797da120024d045ab1616f5833a244ccd4de7d

Observation b02d53e7-0b4d-42d7-9bc5-c59a4b641996 · outbound

This paper cites Karpukhin, B.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Karpukhin, B

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.859694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.452672Z digest=sha256:4b28dd6f7598c1573ef4ee9d4807cfd527a1b2a5d607f2cb0f99babe7065b7a3

Observation e31c6c55-0afa-405b-9df7-ef50f504fa94 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 21

Resolution
verified exact
doi, observed 2026-08-15T22:27:09.878191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.456785Z digest=sha256:587ee4ffa88e9d49fb7618457540c2265733ca709b1ce6cffb047bd3edecad3b

Observation e9b5fa5e-7560-4dad-a388-69d3581e22ee · outbound

This paper cites Khandelwal, O.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Khandelwal, O

Reference 22

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.843407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.464484Z digest=sha256:2db3eab0812c6d4211fe25b6ebb73632ee7eb11fbc3ded6cb3f06c156bdfba04

Observation 69ff83ba-7892-4069-a3af-672104afc824 · outbound

This paper cites Khramtsova, S.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Khramtsova, S

Reference 23

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no resolver link, observed 2026-08-15T22:27:09.471753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.471753Z digest=sha256:bd9765bcec421168fdeaa6889c8862a693c13c159ccefaed36fbc32eff375e92

Observation d981069d-fa9d-48e8-a757-5ad34ce8e8ca · outbound

This paper cites Reinforcement Learning for Optimizing RAG for Domain Chatbots.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Reinforcement Learning for Optimizing RAG for Domain Chatbots

Reference 24

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no resolver link, observed 2026-08-15T22:27:09.476714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.476714Z digest=sha256:255183070d18db5a775de14e6b0df7f4742017a558a5c1d674c1785b48d8aaba

Observation 033a66c7-a777-48e0-93f8-d34cb97c44e1 · outbound

This paper cites Kwiatkowski, J.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Kwiatkowski, J

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.831118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.482608Z digest=sha256:388dc2fa62556008a572c54b7bcd711ab3f0007b37269b4887a48f12c9254319

Observation 9184cab9-80a1-4f46-8390-e3733e746791 · outbound

This paper cites Lewis, E.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Lewis, E

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.818610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.490098Z digest=sha256:35710c6fef98525bf5f9bc435671395111c9b0f7e5dca2c521421eca4ccbcdef

Observation 53e20df4-e36d-4458-8fff-d1076f7747c7 · outbound

This paper cites Holistic Evaluation of Language Models.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Holistic Evaluation of Language Models

Reference 27

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no resolver link, observed 2026-08-15T22:27:09.495968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.495968Z digest=sha256:5da895f8728d7776128b8f8dff9cc5d6a4882e8a27726c70462c5be7e935f1b9

Observation 58bbcac4-4b9a-4d75-837e-71283808856c · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:27:10.805914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.504319Z digest=sha256:28660416e047ea8492951216eb3bb4302d7e202ab42243f9971198ae17fcfb87

Observation c0d9b589-5860-470a-9248-140ce14bee93 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:27:10.790630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.511736Z digest=sha256:408e09c3ee246696a790f70cbaa60a416c25c04eb65617364eae1b1e85c714fa

Observation 1f4eafe8-4a35-4b54-ab1e-8d26982117a4 · outbound

This paper cites DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Reference 30

Resolution
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no resolver link, observed 2026-08-15T22:27:09.516222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.516222Z digest=sha256:0c53d81a5155ce99a792faaf4fd303305b487bc8439938eff78cb0981cab3040

Observation c7bec877-2f13-4a28-99bc-c3271df98fcb · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:27:10.777036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.520514Z digest=sha256:f9700b1c853c6cbddb409a3823faf9a616c6726a963019890c226aad0efcc02b

Observation 48d62651-976d-402e-b3e5-c758c33037ad · outbound

This paper cites ChatQA: Surpassing GPT-4 on Conversational QA and RAG.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.528215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.528215Z digest=sha256:8dc6b5bb933140fb8d166e0071802493da82766f43657da2fd8a8d3f568d9659

Observation a181c667-bf1d-4b17-abe7-e7a90329beea · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 33

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unresolved
no resolver link, observed 2026-08-15T22:27:09.535461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.535461Z digest=sha256:c223868606c6802d538a599421e11b75c740fd3eae7ea93125879faf8e17ad56

Observation 090f0b74-1c21-4e8e-a5ad-b9b2853193c6 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.543589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.543589Z digest=sha256:28a2af3291e177db338dabff765622b520d055c9fd50ab78d5820f9949c01db0

Observation e44d509a-4223-44f6-9c99-b9e35bdd7c10 · outbound

This paper cites Mihaylov, P.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Mihaylov, P

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.763774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.548384Z digest=sha256:a57ee122a7302a8f4671c2b24be863be165b923b3816219484fc162463526865

Observation 7309a1bd-c4dd-404d-9476-5b2a1982fdae · outbound

This paper cites Nguyen, P.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Nguyen, P

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.554981Z digest=sha256:942dceec6d788af301e99b15bfad59e3e927961392e2a7331e22130c6bdc21b7

Observation 61ca8c74-c7fc-47b6-992e-bb5b3aae7204 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-15T22:27:10.735480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.565809Z digest=sha256:a4a920a04b673693476832735160995bf62225e4ddb07fcc170ef9740da5c79f

Observation 7d2d2fb4-076f-4a0d-afea-499d3eb0c7e5 · outbound

This paper cites GPT-4o System Card.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation GPT-4o System Card

Reference 38

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.578732Z digest=sha256:1cfc31b492218791b13eafab934a52ceae47cb056ca166d2a49fef0fed44cd5a

Observation 08ab33d6-7f14-4601-b615-1eae41f2c213 · outbound

This paper cites Achiam, S.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Achiam, S

Reference 39

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.722692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.584551Z digest=sha256:f31e740b661d190602675babb182b9e5e75411fb76b62ce0999846e2b4799873

Observation bca73093-040c-4677-b7bc-f1ee0ad7c494 · outbound

This paper cites Training language models to follow instructions with human feedback.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Training language models to follow instructions with human feedback

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.593330Z digest=sha256:0bb0953a9d58bfe90e7c01f15cc4aa9be46812cbc3284e70c891044fb45b64d9

Observation dd1ec994-d82f-4f77-a156-c06436b63a09 · outbound

This paper cites Petroni, A.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Petroni, A

Reference 41

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.709344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.598471Z digest=sha256:4108fcd9a026907f3fe7905f63415beb66b39f7fd1c8b7f37a1565a4dba20826

Observation e4fcd55b-9fd3-43db-935e-943d72b2d192 · outbound

This paper cites RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.602520Z digest=sha256:9d0e901de612d89fa9bd940234087b44157236b5dff70897cd1e10f787591c9b

Observation 788a8796-1b39-4ac8-a861-094ec6a2cec9 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 43

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.696546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.608573Z digest=sha256:d3d036e36dd35b2445c1a5361c5eac7ec0cc8c771193023d9d13e2c1776114d1

Observation 3b3fa65b-b87a-498f-a9fe-059f94cc8469 · outbound

This paper cites Rafailov, A.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Rafailov, A

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.618531Z digest=sha256:36c42dad96e69c62252cd6490a85e63e277afb5b288a5079159a5c6e2f4d1c69

Observation 68bde1c1-987f-41e5-b208-bf8f855e1702 · outbound

This paper cites GPT-4 Technical Report.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation GPT-4 Technical Report

Reference 45

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:27:09.589080Z digest=sha256:953cd93800c5343ee82d12a747623398810b54167380a43da79743cea339a69c

Observation 393046aa-dfef-41e3-952a-ad4fde967759 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 46

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no resolver link, observed 2026-08-15T22:27:09.629584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.629584Z digest=sha256:99412d936d7f34e7ca21754fa290c1c5e1f09a2e79e5285709ebc0180ac01ea0

Observation b5429959-4afd-4f15-8f3c-9ab1d81d6170 · outbound

This paper cites Improving Passage Retrieval with Zero-Shot Question Generation.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Improving Passage Retrieval with Zero-Shot Question Generation

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.638724Z digest=sha256:e826151f5d8f25a8951e159729d1e05eb2ebbbdf3e23b34a1ac423652cc95f4d

Observation dcd01e43-b01a-495b-9aa2-d6df507a58fa · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 48

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.661919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.644234Z digest=sha256:fe43dbc227661a36ed8a8745201cdce0ff42f05dfd92df22381b2a433c898152

Observation 21555214-f63f-443e-920f-4a3504d7afd8 · outbound

This paper cites Stelmakh, Y.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Stelmakh, Y

Reference 49

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.649515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.653084Z digest=sha256:a45a411fc5ec7d96d071a7655515ec3bcf000c56b550d9d5bbca710373439c01

Observation da32adf8-3809-4d8d-acd9-eb8e42e74ca6 · outbound

This paper cites doi: 10.18653/v1/2024.findings-naacl.97.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation doi: 10.18653/v1/2024.findings-naacl.97

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.612920Z digest=sha256:13b69a7b299bfd7f05be9ff19ae6da3bbb5c8284dfb8a03bd219198009e0fb50

Observation 4a940041-55fb-4187-84d6-de95c28a8968 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.663073Z digest=sha256:292c6f17e0ef341b081e4b922558c56c712b156602bf99f6930ef581bb327db1

Observation abdd4183-48dc-435a-a06f-f1f9705a2468 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 52

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.674780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.623804Z digest=sha256:c1f89e3b8c98fa65cfb1b1c1cd1f56e03983e3eba78b291f9672251a34cf334b

Observation 3c8f7c01-b92b-4c07-b7c5-f3bae1ba5d77 · outbound

This paper cites Thorne, A.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Thorne, A

Reference 53

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raw_fallback, observed 2026-08-15T22:27:10.624757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.672941Z digest=sha256:485f140a54065360cbd6edc7ba9a6012dca7afa63f961629f676475b68c2b62a

Observation dc0317e4-65c0-4681-be84-97b391f50c06 · outbound

This paper cites Touvron, L.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Touvron, L

Reference 54

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.610938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.678600Z digest=sha256:568b9987660e1df200179c42aab95603b65698f6b3b30f7a2274270de27c3a59

Observation d7d7e140-7026-493e-9f36-de5378102b30 · outbound

This paper cites Trivedi, N.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Trivedi, N

Reference 55

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no resolver link, observed 2026-08-15T22:27:09.688536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.688536Z digest=sha256:b78f50969ef23ee7ce38b7e0c96921ce13b913603b96d30e7b11de4cce62d950

Observation b85c235b-b0d8-48cf-847f-e521f36c443c · outbound

This paper cites AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:27:09.696175Z digest=sha256:f6cffb2e73dd979e9252ef6b49d4c3115ab252dd9354a2af059ca68bfaf9ca76

Observation 6065bb44-06a4-4d3e-bbf8-25c097ce3960 · outbound

This paper cites DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 57

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no resolver link, observed 2026-08-15T22:27:09.657806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.657806Z digest=sha256:d21f4e4cd0819a6d02c2d6344019e1d5089f523f8eacd02a396b3540583cd5da

Observation 4bac9bc3-c761-4376-b0dd-14254afbc911 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.706012Z digest=sha256:5a6ddadb75949d6937591cac0c5bb9c783cee8ce84bae1d4f84a1beabea6722c

Observation 2f61fbae-d614-4ff1-a3be-5ad8367e2070 · outbound

This paper cites Taori, I.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Taori, I

Reference 59

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.637063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.668254Z digest=sha256:648d800b3d4e59576eb40a7e8ca65a44809839c1f5af20fd9095d4ebcc1f8aac

Observation 7e579a51-0317-4a75-adb9-c4c0e35b1617 · outbound

This paper cites RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

Reference 60

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no resolver link, observed 2026-08-15T22:27:09.718080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.718080Z digest=sha256:ba77a116a344670c63bb51a3e747a8608c559e697907a5cc6bac94e89217dbb9

Observation 9f653605-eb01-474c-a817-567330d0ea71 · outbound

This paper cites AgentTuning: Enabling Generalized Agent Abilities for LLMs.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 61

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no resolver link, observed 2026-08-15T22:27:09.724466Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:27:09.724466Z digest=sha256:be2d93fdde4aa77233814d7e5de7b5a5b52190d584afb3ce628cdcd39a1f7225

Observation 23c4bac2-a140-4296-b6b7-aaa21761a87d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.682674Z digest=sha256:35f8594ddd8b8a6f0c149ec87635d5638da03643ae623042bc1c3737364f091a

Observation b39d3830-6441-4756-8d80-58017912c9f6 · outbound

This paper cites RAFT: Adapting Language Model to Domain Specific RAG.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation RAFT: Adapting Language Model to Domain Specific RAG

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.734317Z digest=sha256:9bda635d0d9391b662ed3149ac3c34672664649d010569926d8b1c8245fd93a9

Observation fc8e59e5-72ec-4b5b-8c53-b149c69b82df · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 65

Resolution
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raw_fallback, observed 2026-08-15T22:27:10.598307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.701572Z digest=sha256:14c5c52e2aa2c401ce52b2915ecf6b8b8c4ea4a06701ea314e67967babfcb813

Observation 54c60755-d945-4646-99d2-0637f2e18e80 · outbound

This paper cites Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 67

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no resolver link, observed 2026-08-15T22:27:09.712665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.712665Z digest=sha256:fc13e9d09a8f2bcb12e8be078e5566c4aa7601e3bcae6794e0d07e03f5702b52

Observation 694c1939-1dcf-462f-a8d6-b0a91a42d501 · outbound

This paper cites Zhang, V.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Zhang, V

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.584898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.729861Z digest=sha256:76a822906a0c5a18f0698a9d6faadf9497322bfd95ea63eed33a6b3ab41b1145

Observation 54e14a83-d21d-41f6-85eb-d374288d66c5 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 73

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raw_fallback, observed 2026-08-15T22:27:10.558862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.745502Z digest=sha256:b928035e33bb2ed77feb2996a80c5a1eb90943f88163accb6b93f721112ed2ec

Observation 3667c6ba-e797-41d7-9c98-635826dc4415 · outbound

This paper cites I cannot fully answer based on the available information. Please provide more details.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation I cannot fully answer based on the available information. Please provide more details

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.546785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.750742Z digest=sha256:f5734be3fbe7be6c546e0a5e5a883758d740a5592825219904ac84aa5a5f9296

Observation 92815af2-38ae-42e1-9605-3801e178df47 · outbound

This paper cites • Conciseness: Keep answers brief and relevant.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation • Conciseness: Keep answers brief and relevant

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.534211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.756926Z digest=sha256:cb89615a5c07c0dae6ce6d539b90eedfd819843d5105b5614e4b097d834b2a31

Observation c507c981-df21-4eb7-b403-fbfc9101dc29 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:27:10.522672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.761826Z digest=sha256:3120d327d86a7976bc2ba6030d6caac35a6b63fa0aebd484588acd8f70b7142b

Observation b00261f9-d580-4825-a7bc-ff3e03179a85 · outbound

This paper cites Always prioritize clarity and reliability.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Always prioritize clarity and reliability

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.510965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.766351Z digest=sha256:8f48da3c0135c4347c5c749f06ec10ca52bba8adc1ecab6db05cbfe8ea270864

Observation fd7699e7-cb3e-45bd-afc1-87dcb8e36e12 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:27:10.498787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 72b40d55-1e6c-4e46-ba0d-e78c32126051 · outbound

This paper cites Deduct points if the response lacks focus or deviates significantly from the query.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Deduct points if the response lacks focus or deviates significantly from the query

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.485655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.774758Z digest=sha256:f88583ec1317d9b4a56cb2d48e7852cafed3dc6f3badb5288ff591eea03b7df4

Observation 5e25b687-d764-47e8-b024-e5e28a2cc4d8 · outbound

This paper cites Penalize for inaccuracies, missing essential elements, or presenting incorrect knowledge.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Penalize for inaccuracies, missing essential elements, or presenting incorrect knowledge

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.473259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.780279Z digest=sha256:86e9dea1f88eb69834284e708d28b08ceb49aeb4649de94cd277dbf396ac96fe

Observation 800f0ad8-ef6e-4eac-a3cd-ee122e744d54 · outbound

This paper cites Deduct points if temporal reasoning is flawed or logical consistency is missing.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Deduct points if temporal reasoning is flawed or logical consistency is missing

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.458942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.784693Z digest=sha256:4c0da3fccd5d9c189871939c6511899ce1e7b861ae3b7d9fe241a6e166747e0a

Observation 5f1af6ad-b482-49cf-8f57-01d1cf6154b5 · outbound

This paper cites Reduce points for ambiguity, confusion, or poor organization.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Reduce points for ambiguity, confusion, or poor organization

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.443297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.790823Z digest=sha256:4a938c99ad55c44227c08a6cc7bc3ffbe1ec32344fc72ce9e9155ce308f9b188

Observation 7a468057-5978-493c-a11e-7202e12aaa25 · outbound

This paper cites Score: points.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Score: points

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.428261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.796234Z digest=sha256:63407f322b10bbe9e7831055483cc6637239c26f68e82c20ccd35b57628f0d04

Observation 8b9fa3ff-e807-4aa9-981c-45272ac21a77 · outbound

This paper cites Musical Healing.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Musical Healing

Reference 1991

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:10.570915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.739129Z digest=sha256:c6292a084fcc72b6719253ffb6e651b9eaf9164a13e60227cb2aa52e452f2992

Observation 68a6fb41-bcef-4474-9c41-932284bf4a40 · outbound

This paper cites URL https://doi.org/10.18653/ v1/2020.findings-emnlp.63.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation URL https://doi.org/10.18653/ v1/2020.findings-emnlp.63

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.570960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.570960Z digest=sha256:41867f16191c6c195d229a27ebbd1b06afb3fc926e260f1c223b169472ca8a91

Observation f6485919-76b5-4322-855c-7fe5273c7a99 · outbound

This paper cites URL https://openreview.net/forum?id=5k8F6UU39V.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation URL https://openreview.net/forum?id=5k8F6UU39V

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:11.021121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.342546Z digest=sha256:07cfebced5460f30a9707264950585af173ae7f60388e87823e12b6fd8c1774c

Observation c16a2071-a01f-4d91-8f85-d64f7e1ee460 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 2022

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:27:10.930808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:09.426004Z digest=sha256:47a639fa23f58d9f7c33b79c5207ad889f4eeab1902e04ea83fd5ba39e1fba14

Observation 6843ddca-26b2-46f3-9ee6-80fdd0f81278 · outbound

This paper cites an unresolved cited work.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Unresolved cited work

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.442373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.442373Z digest=sha256:0a84d7baa3dc81a5a7411821d3e5e6b142f45a39d0052be5a4cf279568dd9568

Observation 10eef4e4-873e-4333-b29e-12e7859cbc15 · outbound

This paper cites Reward-RAG: Enhancing RAG with Reward Driven Supervision.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Reward-RAG: Enhancing RAG with Reward Driven Supervision

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.559996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.559996Z digest=sha256:e7c3547c4983a8aa6e0fc8669a1da448cf3a81c0bbde743f4ec50104ae3ee69e

Pith citing papers

Observation 1f7fcf61-f6c2-4a61-87c1-aa4797925309 · inbound

Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems cites this paper.

Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T10:14:22.228092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:14:22.228092Z digest=sha256:527106083746bc3e4154a49331590e1e25c46314d9de158c11ede7ad5e3fc734

Observation 5f25fbd1-4f95-44fc-8cd2-0267dda19230 · inbound

RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation cites this paper.

RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T10:20:20.991380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:20:20.991380Z digest=sha256:a8b29b3cd577b1029a8adf84fdff12012a86cba57556d91c9b62502e346278b0

Observation c5c6cba6-58a2-4529-a767-ee34a853a36c · inbound

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning cites this paper.

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-13T13:59:01.287449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T13:59:01.287449Z digest=sha256:c2069f4236bc679aff8217265e87bc23b703309b330093771283d85416e4f7e9

Observation 63a72e2d-e962-4c9c-ab36-e4f399c4fd73 · inbound

Active Learners as Efficient PRP Rerankers cites this paper.

Active Learners as Efficient PRP Rerankers DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:43:27.227839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-15T01:43:10.436537Z digest=sha256:b1aa86dc0dd7db9599c95840c72ba880829dd4c16b87ef1d76ade7b384a88843

Observation afe64bb5-0998-41c4-b816-5a7138231377 · inbound

Active Learners as Efficient PRP Rerankers cites this paper.

Active Learners as Efficient PRP Rerankers DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:09:02.442786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-20T21:07:32.652880Z digest=sha256:c135161bb53bf5df7b7a8a535968092af289cc1ba859063f2e39e3f30125742e