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Paper Citation Record · LEDGER

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:36:40.296461Z

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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T23:54:11.058239Z digest=sha256:844d26e2521fb5d59ef38fc9b809f93afd892dd0f74d4ab642e3e51ca4a3b52c

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.

source=arxiv_source observed=2026-08-05T13:36:40.296461Z digest=sha256:11bb2b7e2b351fbfb4161a9f052e06997067266df00ce13628a4d2490f0c1665

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T07:30:28.303573Z digest=sha256:fe447aab8de21704d97393c42dfff7c138c5608e5d3b76e37baefb98604f8b79

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:23:18.186586Z digest=sha256:b15c0715a049d694ac8dfb46aa71be1d57481dc531d31a6aaaf7ddf18b4873ce

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T13:59:01.287449Z digest=sha256:77880134c75cd2f08f6fe492adadbb94631e7f411c63941738d6124a35ad9b23