Paper Citation Record · LEDGER

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 7 inbound Pith citation observations for arXiv:2505.20046.

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

pith.paper-citation-record.v1
2505.20046 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:15.898573Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:22:24.214754Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T23:56:55.107569Z

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy0
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1c5c600-b5ad-4632-bbbb-6769888ab87c · outbound

This paper cites GPT-4 Technical Report.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:11.863636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c105d8-9080-4f43-b9eb-44f8cfd06f79 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:11.928833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77130b62-65b6-4a3f-9646-9942139c28d1 · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:12.013949Z

Source-reported events for the cited work

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Observation 0eca5c43-d392-4839-83b5-154c336b9c1e · outbound

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

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Overview of the TREC 2019 deep learning track

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:12.186322Z

Source-reported events for the cited work

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Observation 4f780dec-d5f7-4ec3-88cf-b6f21387737d · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:12.278805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1819c3a8-98cd-4df3-884f-2a4c8a9a5426 · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:07:17.498898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f5bad58-10d1-4446-b8cc-811dc36790f4 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:12.431132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f76fa81-6b56-4342-95fa-5de23e6af88d · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:12.554615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ebc3e12-4cd2-4b97-a5ce-3c9056502b12 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:12.642594Z

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Observation 1cb00cf5-5414-4f55-919f-483caf7995b2 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:12.728412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa802e0-ff55-4d3e-a7f4-23a95b019711 · outbound

This paper cites Holistic Evaluation of Language Models.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Holistic Evaluation of Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:12.880824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4379efc-d361-4030-9224-85a752862fcf · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:07:17.371527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 019d401d-c136-41a9-9146-769b6c9d9e0d · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:07:17.236872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 06b560b1-34e2-47b0-aea1-c199707b655e · outbound

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

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:13.130568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b0a914-6e7a-4a45-90cf-3d6ed6589b3e · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:13.230177Z

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Observation eb040adb-49b5-44bd-9cbd-665633845071 · outbound

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

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:13.357576Z

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Observation 32b928cf-b0f8-40d2-96ea-82ae0738ce61 · outbound

This paper cites RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:13.482724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de707b5-b85b-4d11-96be-4848270a9941 · outbound

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

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:13.543503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc0ee9f-6c7d-45dd-ab55-c5bbc81a80f5 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:13.632045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6adf4a41-c3ce-4170-938a-7925133c8d96 · outbound

This paper cites Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:13.710293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b27a86c-5878-447a-a20b-760e2a108768 · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:13.820059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df95bbe0-19a8-4339-a387-142647be3a9f · outbound

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

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Improving Passage Retrieval with Zero-Shot Question Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:13.912679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0296164c-0b35-4e30-9a80-89f529fd4188 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.028720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103375a3-cf07-496d-bc5b-940c4656a681 · outbound

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

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.134085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e59a1758-8aed-4e56-92bc-2bbd02c4d1f6 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.250669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3608c238-937c-4e7d-85e2-0c785f42a213 · outbound

This paper cites BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.344080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a60c737a-9a62-4961-a1bb-ca5ad58ffc21 · outbound

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

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.431147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation becac842-21d4-47cc-a338-ae3d3902620a · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.526870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fda85731-37e3-4a93-acdc-381f04a3d1db · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:07:17.100374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea2088e5-e1a7-40ac-a035-46f613437a04 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.696818Z

Source-reported events for the cited work

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Observation f0ac9cea-bce0-49d1-9bde-c1bcddb7f672 · outbound

This paper cites Emergent Abilities of Large Language Models.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Emergent Abilities of Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.782602Z

Source-reported events for the cited work

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Observation 501bf601-8980-4164-ab27-58d4b8670a56 · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.862808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56ca47ee-e6b4-4438-bff4-72819e86f1c6 · outbound

This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.938648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b725ec-579a-41bf-9a7f-93cddda09935 · outbound

This paper cites Qwen3 Technical Report.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Qwen3 Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.031918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b5abaf1-5858-4275-9b24-27f187242f37 · outbound

This paper cites Qwen2.5 Technical Report.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Qwen2.5 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.119898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aed25547-7cdf-423d-a46d-6f5ddd45e1d0 · outbound

This paper cites LIMO: Less is More for Reasoning.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning LIMO: Less is More for Reasoning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.204385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e4fece-e2f6-47de-80b8-99a6a2635ef0 · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:07:16.945437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e0e7d205-670b-414d-9dc3-fd0d33be3fa2 · outbound

This paper cites MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.313276Z

Source-reported events for the cited work

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Observation 0d263f1a-8584-4870-8589-6f015d4fab51 · outbound

This paper cites Exploring the Best Practices of Query Expansion with Large Language Models.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Exploring the Best Practices of Query Expansion with Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.431975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3bd474b-6d74-4e3b-b6d4-ce42b5804e26 · outbound

This paper cites Assessing and Learning Alignment of Unimodal Vision and Language Models.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Assessing and Learning Alignment of Unimodal Vision and Language Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:07:16.104172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9a046267-0fb6-4f94-9061-a14fe4bd8d06 · outbound

This paper cites Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.608784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8854213-5ce7-4bcc-9724-c58a87ecd53d · outbound

This paper cites an unresolved cited work.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.689635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 099797bc-7ed4-4034-9836-dfdaf626f65b · outbound

This paper cites online" 'onlinestring :=.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning online" 'onlinestring :=

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.782529Z

Source-reported events for the cited work

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Observation e2ae1378-e3c4-43df-9280-daffdc4c725b · outbound

This paper cites write newline.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning write newline

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.898573Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 904dc180-4f69-4252-a47e-f5f07c2258ee · inbound

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis cites this paper.

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:24.214754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65b7558d-6e21-4157-a9f1-ddb5a96089ed · inbound

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation cites this paper.

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:18:36.607918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cdb853f-3249-462e-abae-dd7dff889d00 · inbound

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability cites this paper.

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:56:55.111132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5d987b17-618b-43bd-bf77-0d94176ecfcd · inbound

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking cites this paper.

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T13:36:40.296461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3de92ea-3f81-4977-b480-d990b3e990a0 · inbound

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search cites this paper.

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:30:44.234572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 28c9a35a-f2fc-452b-93f3-42fa969fb3b4 · inbound

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning cites this paper.

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T19:23:18.186586Z

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Observation 9e5b552c-b100-400b-a8f4-79f2f8db55a4 · inbound

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

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

Reference 53

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

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Unavailable: canonical work link unavailable.