Paper Citation Record · LEDGER

Shifting from Ranking to Set Selection for Retrieval Augmented Generation

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.06838.

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

pith.paper-citation-record.v1
2507.06838 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:57:33.669725Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy3
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17bca2c9-7134-4c0f-a7fd-39e5efea9a6b · outbound

This paper cites Provence: efficient and robust context pruning for retrieval-augmented generation.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Provence: efficient and robust context pruning for retrieval-augmented generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.567975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd0292a0-fb8f-401a-a60b-1bea886ec8c1 · outbound

This paper cites Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.578068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e4d5d1-b728-48da-b9e1-7fa30e70fc2d · outbound

This paper cites Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.581971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2680f6e5-00aa-4cf8-a986-1a31615f08ca · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.585373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42691430-e65d-4a17-9b06-f330064e15b2 · outbound

This paper cites Mistral 7B.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Mistral 7B

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.588478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90bde8a5-c1d4-46f2-833c-aa61e25f0a2d · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Dense Passage Retrieval for Open-Domain Question Answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.591685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c757cc2f-4550-4393-a0c3-c0cb28e3d359 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.595140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f13f3b9-f177-4405-b6a1-24c6e3956c63 · outbound

This paper cites JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.601899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f43c6f-1864-435e-8464-8ec7f7cf4f42 · outbound

This paper cites Passage Re-ranking with BERT.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Passage Re-ranking with BERT

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.605010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f1c541-15aa-454a-9b66-0864fb417106 · outbound

This paper cites Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.609045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6572969-1979-4a75-91a6-b76a38ae753c · outbound

This paper cites In-Context Retrieval-Augmented Language Models.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation In-Context Retrieval-Augmented Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.612325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad2e8268-a2f0-4682-8046-c5ef44459795 · outbound

This paper cites RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.615383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b8da4f-440f-4de6-a303-364d8ba23a69 · outbound

This paper cites Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.618591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68292781-2f4f-4b83-a404-38d0e03bfaf3 · outbound

This paper cites Large Language Models Can Be Easily Distracted by Irrelevant Context.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Large Language Models Can Be Easily Distracted by Irrelevant Context

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.622224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b81bb3-1916-4bf7-8c32-d01441492d52 · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.626119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002ae8b1-5ac5-40e9-b7b1-2e67d9fc5c0a · outbound

This paper cites MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.630029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c16b8ff-11bf-4665-b428-2764aa5243ec · outbound

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

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.633044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b0663b-b9d1-4789-a4d3-efcf0b4316ad · outbound

This paper cites Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.636094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e7c7f6-098b-4bcd-b2f7-278860f6a0e9 · outbound

This paper cites Zephyr: Direct Distillation of LM Alignment.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Zephyr: Direct Distillation of LM Alignment

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.639110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 576ee7e7-5cfd-4f60-a3c5-1dbef723472b · outbound

This paper cites From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.641998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce5ca023-3694-46ac-996c-6e4c05308835 · outbound

This paper cites Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.645211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c392362e-0628-472f-849e-62011e8be68b · outbound

This paper cites Preprint, arXiv:2411.00744.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Preprint, arXiv:2411.00744

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.648791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4d9c32-ca74-4631-8175-a51ae23cd208 · outbound

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

Shifting from Ranking to Set Selection for Retrieval Augmented Generation C-Pack: Packed Resources For General Chinese Embeddings

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.651568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f02081f-0221-489b-b7e2-b57ce046af80 · outbound

This paper cites ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.657516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ed2db3-f5b7-4121-a353-a1d994ff2c2e · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.660576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c69d6a8-a089-401e-b56f-1363cd139eff · outbound

This paper cites Given a query and a can- didate passage, it outputs a score to reorder retrieved documents by their relevance.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Given a query and a can- didate passage, it outputs a score to reorder retrieved documents by their relevance

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:34.018627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9793ff2e-67d1-4d17-9303-6e15dee991ad · outbound

This paper cites It reframes reranking as a single- token decoding task, enabling fast and ef- ficient passage selection.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation It reframes reranking as a single- token decoding task, enabling fast and ef- ficient passage selection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:34.009818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4978cecb-fd90-4476-b3e4-7f319a9e2354 · outbound

This paper cites Let’s think step by step.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Let’s think step by step

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:33.999790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 391a39fc-eb21-4642-8a89-2c543d7284d6 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.654515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985e42f8-4358-4fbf-a5c8-b4946596fd49 · outbound

This paper cites Decoupled Weight Decay Regularization.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Decoupled Weight Decay Regularization

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.598933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953be654-07ec-47c2-b19d-22849632f697 · outbound

This paper cites Overview of the TREC 2019 deep learning track.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Overview of the TREC 2019 deep learning track

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.574728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142fec3f-3728-4f17-8cac-4b01366916a6 · outbound

This paper cites Overview of the TREC 2020 deep learning track.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Overview of the TREC 2020 deep learning track

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.571316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27127e96-871e-462d-94db-4364bd9b75f8 · outbound

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

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.560989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2acb541-8b4b-46f9-882f-0fd807bd20c5 · outbound

This paper cites An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.564436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae4d162-8231-4a87-a6e6-8ee712c9b55c · outbound

This paper cites Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.556980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.