Paper Citation Record · LEDGER

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census

As of 13 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.07069.

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

pith.paper-citation-record.v1
2608.07069 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:31:55.553287Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

19 of 19 outbound references displayed

verified exact7
verified fuzzy1
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbc47c8c-ca2f-4561-b563-3a892178a469 · outbound

This paper cites Dining and Drinking.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Dining and Drinking

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:56.013579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 935bae80-201e-4337-8277-c517e6d192cf · outbound

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

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Generative Engine Optimization: How to Dominate AI Search

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.509363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c597d07-3b68-495b-91bf-efcd88c54c67 · outbound

This paper cites How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:55.878495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b86f6a07-2064-4518-8967-eb50dae6d132 · outbound

This paper cites Large Language Models are Zero-Shot Rankers for Recommender Systems.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Large Language Models are Zero-Shot Rankers for Recommender Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.516194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 862f7a98-8a57-45ad-b3f4-687bc38e56fb · outbound

This paper cites "Global is Good, Local is Bad?": Understanding Brand Bias in LLMs.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census "Global is Good, Local is Bad?": Understanding Brand Bias in LLMs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.522584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13b24e34-a4cc-4d48-acec-9a5a0e8bf202 · outbound

This paper cites Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.525914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f863a76-a99f-4236-9838-2f2f7c9034e1 · outbound

This paper cites Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026).

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026)

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:55.794024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 97113ef7-9033-41bb-a888-faf40f5c00c1 · outbound

This paper cites An Investigation of Linguistic Biases in LLM-Based Recommendations.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census An Investigation of Linguistic Biases in LLM-Based Recommendations

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:55.765736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2159a38-baf3-4e24-a7c2-2ec918e2ee7f · outbound

This paper cites Who Owns the AI Recommendation? A Multi-Industry Empirical Map of Brand Category Ownership Across Large Language Models.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Who Owns the AI Recommendation? A Multi-Industry Empirical Map of Brand Category Ownership Across Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.546933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 496d2d9d-2fa6-4c5e-90a5-0775bd35992e · outbound

This paper cites Paraphrase Brittleness in Production Retrieval-Augmented Commercial Recommendation: Reproducibility Below the Rerun-Stability Baseline.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Paraphrase Brittleness in Production Retrieval-Augmented Commercial Recommendation: Reproducibility Below the Rerun-Stability Baseline

Reference 2000

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T15:31:55.853143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8564698-4458-47f3-b31d-d606339fc4b3 · outbound

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

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.494679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3fbee32-f6ef-4a52-ab7e-250cb9cdf294 · outbound

This paper cites Verified Misguidance: Measuring Structural Citation Failures in Search-Augmented LLMs.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Verified Misguidance: Measuring Structural Citation Failures in Search-Augmented LLMs

Reference 2014

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:55.781021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 23021c34-6cff-4cec-8199-f7c47eaf3f46 · outbound

This paper cites Rethinking Fairness in LLM-Based Recommender Systems: A Survey.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Rethinking Fairness in LLM-Based Recommender Systems: A Survey

Reference 2016

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:55.809158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4c38aeae-b899-4d56-b5bb-6d7758f49cd6 · outbound

This paper cites Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.505851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31e1e996-7b65-4d35-8b29-81d82eefa2cf · outbound

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

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Large Language Models as Recommender Systems: A Study of Popularity Bias

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.529760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd0e5bd3-1a4b-4a28-977c-4934c4c5bfce · outbound

This paper cites an unresolved cited work.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.550428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdfcb972-41cb-4b6a-aea0-a7574367706f · outbound

This paper cites GEO: Generative Engine Optimization.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census GEO: Generative Engine Optimization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:55.489521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800d100e-5de7-4abd-b2ef-25029e259d24 · outbound

This paper cites an unresolved cited work.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Unresolved cited work

Reference 2025

Resolution: verified exact; raw_fallback, observed 2026-08-10T15:31:55.983200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c4ca67f2-bd5b-47bd-8da4-9084e68db0f7 · outbound

This paper cites Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval

Reference 2026

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:55.913112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.