Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.13243.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:57:04.896427Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T05:13:56.894841Z
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 4d4e3970-34b9-4de7-b28e-67d784df1626 · inbound
Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.
Retrieval-Augmented Generation for Large Language Models: A Survey Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T05:13:56.899006Z
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 f3f56d32-0aec-4d14-8298-e4a0895dcd72 · inbound
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval cites this paper.
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:57:04.896427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 710dd291-0e96-47b3-8391-be373ce86cad · inbound
A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining cites this paper.
A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:59:03.565114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a813872d-9306-4ca9-bb2b-7d8ed78fa294 · inbound
HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads cites this paper.
HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T06:36:36.285582Z
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.