Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models are Not Stable Recommender Systems
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.15746.
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 2026-08-07T13:00:23.495497Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T18:42:29.253277Z
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 de5f998b-f708-459d-9898-92def34d821c · inbound
Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders cites this paper.
Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Large Language Models are Not Stable Recommender Systems
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:00:23.495497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2af88599-bc5b-42f6-a94a-a01d4548e0a9 · inbound
LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking cites this paper.
LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking Large Language Models are Not Stable Recommender Systems
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:40:10.826556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6167894-d736-4025-8d82-50bdf57ce307 · inbound
One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation cites this paper.
One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation Large Language Models are Not Stable Recommender Systems
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:11:27.205811Z
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 2acc05d7-94a4-4af0-a95a-6a7b4be8fcf4 · inbound
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Large Language Models are Not Stable Recommender Systems
Reference 159
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T18:42:29.255304Z
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 fe45643e-abd4-48b4-b2e3-951900f3deec · inbound
LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation cites this paper.
LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation Large Language Models are Not Stable Recommender Systems
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T20:29:43.700229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.