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Paper Citation Record · LEDGER

Large Language Models as Recommender Systems: A Study of Popularity Bias

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.01285.

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

pith.paper-citation-record.v1
2406.01285 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:05:24.549437Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9c070674-449f-4fa5-84c2-21fad8a76b29 · inbound

Meta-Cultural Competence: Climbing the Right Hill of Cultural Awareness cites this paper.

Meta-Cultural Competence: Climbing the Right Hill of Cultural Awareness Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-08T18:05:24.549437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:05:24.549437Z digest=sha256:6a0dbd096359865c796c29806a48857bcb49c1f9469ee349762da724f0a07000

Observation 4a96f7dc-2bca-4ffb-b5f3-be76385e739b · inbound

CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation cites this paper.

CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:40.639978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:40.639978Z digest=sha256:c14c96f80bb84314adb0b0a568597e71abdc2ee7d61762fffd7ae468f21fd649

Observation 59d2ef85-5f05-4926-8cca-6a0520f1739c · inbound

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems cites this paper.

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:19.892530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:19.892530Z digest=sha256:81be1ffd1050589622e8d3375db8f4a810b991040f5c3d2da5d23c072a708128

Observation d4277ed6-324f-4114-8d72-de7168ecf806 · inbound

GraphRAG-IRL: Personalized Recommendation with Graph-Grounded Inverse Reinforcement Learning and LLM Re-ranking cites this paper.

GraphRAG-IRL: Personalized Recommendation with Graph-Grounded Inverse Reinforcement Learning and LLM Re-ranking Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:27:36.575225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:26:05.178943Z digest=sha256:2fe7e14855cf16dc818bc0ffa80e7fac47f5364acd4d8bfeb3337ec4926386e8

Observation 390d1379-ebff-406b-8e22-e18d0cf3c069 · inbound

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit cites this paper.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:54:45.435091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T14:51:38.230140Z digest=sha256:7e412c96007ed967218b3e4732c58cd98ef0b594af8b2441bd08d33f55d7ee89

Observation e510a0fd-0939-42aa-ba8d-82219e00c16e · inbound

Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit cites this paper.

Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:23:12.694154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T07:20:32.538522Z digest=sha256:93cc38c8bddd9fc5fd478d9c9c36a0b4325c10ad9d4643db39a713aedd5cab80

Observation cc8fef50-c766-468b-9674-865c91f74ffe · 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 as Recommender Systems: A Study of Popularity Bias

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.286765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:4f69bda0785c83e28d7c95b45413b17296c341e4e6739d66d41798c7f1040d0b

Observation c9b95370-1d3f-462c-afea-b46259cb9f50 · inbound

From Prompt to Purchase: How AI Brand Recommendations Move Consumers on the Open Web cites this paper.

From Prompt to Purchase: How AI Brand Recommendations Move Consumers on the Open Web Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:44.754597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T11:31:58.177416Z digest=sha256:aa0a9431e04ffc968dea8c1b1fd2c74e1135e3658be4767f45b3c9556c4266a5

Observation 75ad8748-b345-4008-bf5c-5379be46f7e3 · inbound

Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems cites this paper.

Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:08:55.805966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T01:40:08.788224Z digest=sha256:0482c72ac9f43eb6adc64db742138a2971c3f7d61246a4e050c93a93a736125e

Observation 6c7d634e-6f00-4472-a3e5-7d41c8bb596f · inbound

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems cites this paper.

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 145

Resolution
unresolved
no resolver link, observed 2026-07-11T19:14:13.105401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:14:13.105401Z digest=sha256:3d7c09415d41f68f491a4f2e3de39155570bfe3f92b313cd40e7af0507bdb1f1