Paper Citation Record · LEDGER

LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.07439.

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

pith.paper-citation-record.v1
2504.07439 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:25.324776Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:38:29.036034Z

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 bc555675-f616-4f64-982a-5af1d3f4eff7 · inbound

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation cites this paper.

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:25.324776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d496271f-8ce4-4a74-a82f-71155e20ee26 · inbound

How Reliable are LLMs for Reasoning on the Re-ranking task? cites this paper.

How Reliable are LLMs for Reasoning on the Re-ranking task? LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T16:30:44.717414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47ada31f-dc65-4f3e-a343-27f531b9e7e5 · inbound

Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments cites this paper.

Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T20:27:47.663579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acdc5f1a-8426-4c5d-bedf-b55290ff328a · inbound

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cites this paper.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.113295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c8df822-f573-4307-854b-dd5cb97b88e1 · inbound

PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization cites this paper.

PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:29.037555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 917bfbfe-9893-4ed5-a186-a53005093fc1 · inbound

SearchArt: Training Long-Horizon Search Agent with Scalable Synthetic and Verified Task cites this paper.

SearchArt: Training Long-Horizon Search Agent with Scalable Synthetic and Verified Task LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T03:45:20.168715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.