Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2605.27439.

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

pith.paper-citation-record.v1
2605.27439 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T14:51:38.230140Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact5
verified fuzzy8
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 961b5d4a-92f0-4a98-93c8-ebdb2be0fbad · outbound

This paper cites Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial Recommendation.Unusual.ai Research Series, 2026a.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial Recommendation.Unusual.ai Research Series, 2026a

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:55:38.454334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 54f3faa5-e24f-4d2a-84b6-34ef77404a46 · outbound

This paper cites Paraphrase Brittleness in Production Retrieval-Augmented Commercial Recommen- dation: Reproducibility Below the Rerun-Stability Baseline.Unusual.ai Research Series, 2026b.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Paraphrase Brittleness in Production Retrieval-Augmented Commercial Recommen- dation: Reproducibility Below the Rerun-Stability Baseline.Unusual.ai Research Series, 2026b

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:55:38.467086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de234db1-b98c-46c1-b566-1a9d539d50da · outbound

This paper cites Persona Conditioning of Brand Recommendations in Retrieval-Augmented Com- mercial Chat: A Prominence-Stratified Cross-Provider Audit.Unusual.ai Research Series, 2026c.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Persona Conditioning of Brand Recommendations in Retrieval-Augmented Com- mercial Chat: A Prominence-Stratified Cross-Provider Audit.Unusual.ai Research Series, 2026c

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:55:38.463507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c807c4f1-b5d2-4d9b-86c1-3bc82dc5bc1b · outbound

This paper cites GEO: Generative Engine Optimization.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit GEO: Generative Engine Optimization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:54:45.437515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e889d463-69d0-41a1-ab66-9cb02f87041d · outbound

This paper cites Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:54:45.432322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3646041d-2270-4e31-836d-a23d5fc9a4da · outbound

This paper cites A Survey on Popularity Bias in Recommender Systems.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit A Survey on Popularity Bias in Recommender Systems

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T14:54:45.442713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 870e91fd-a09e-43a8-bd43-79bd7c827f1f · outbound

This paper cites Generative Engine Optimization: How to Dominate AI Search.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Generative Engine Optimization: How to Dominate AI Search

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:54:45.445609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e74c8be7-2319-444f-baa2-08af171f52ae · outbound

This paper cites an unresolved cited work.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-07-08T21:55:38.452326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 48db95f4-b4e3-4a5b-bd38-55278aea7d0e · outbound

This paper cites NEW Research: AIs are highly inconsistent when recommending brands or products; marketers should take care when tracking AI visibility.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit NEW Research: AIs are highly inconsistent when recommending brands or products; marketers should take care when tracking AI visibility

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:55:38.456865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e1473b0-6bea-4a73-8359-79c178d15651 · outbound

This paper cites an unresolved cited work.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-07-08T21:55:38.465220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e01ba4f7-c7cd-4f3b-8140-527721a5ee1e · outbound

This paper cites an unresolved cited work.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-07-08T21:55:38.450237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1fc55e45-2a2d-4544-b2b5-11aab6c78a20 · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:55:38.468853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b5bd4838-ff7e-44fa-869f-b6dde68336c9 · outbound

This paper cites A Survey of Long-Tail Item Recommendation Methods.Wireless Communications and Mobile Computing, 2021.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit A Survey of Long-Tail Item Recommendation Methods.Wireless Communications and Mobile Computing, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:55:38.460114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71a9a059-c2ee-48a3-87e9-91dc301665e6 · outbound

This paper cites Auditing Preferences for Brands and Cultures in LLMs.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Auditing Preferences for Brands and Cultures in LLMs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:54:45.440097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

This paper cites Large Language Models as Recommender Systems: A Study of Popularity Bias.

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 2026-08-22T06:32:14.747728+00:00.

Observation 7bb1011b-de34-4710-a8b0-f05d6b3a51de · outbound

This paper cites 87% of SearchGPT Citations Match Bing’s Top Results.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit 87% of SearchGPT Citations Match Bing’s Top Results

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:55:38.456034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1d1f57f-b889-416e-9fd4-eaf47694dc57 · outbound

This paper cites Challenging the Long Tail Recommendation.VLDB, 2012.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Challenging the Long Tail Recommendation.VLDB, 2012

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T21:55:38.461140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.