Paper Citation Record · LEDGER

Advertising in AI systems: Society must be vigilant

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2505.18425.

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

pith.paper-citation-record.v1
2505.18425 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:31.875888Z

measured 25 of 25 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.394514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T07:58:07.705145Z

Reference resolution

23 of 23 outbound references displayed

verified exact2
verified fuzzy5
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fc46d76-d8aa-4da9-8a2e-42047ceae091 · outbound

This paper cites Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models.

Advertising in AI systems: Society must be vigilant Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:34:32.078199Z

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.

Observation d965c8bf-0cc3-4209-ac1d-f0f41e6fbe02 · outbound

This paper cites The ad wars: retrospective measurement and analysis of anti- adblock filter lists.

Advertising in AI systems: Society must be vigilant The ad wars: retrospective measurement and analysis of anti- adblock filter lists

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.220024Z

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.

Observation 976dcfdd-9213-4fd3-8c10-51734f8d5635 · outbound

This paper cites Causal Inference on Outcomes Learned from Text.

Advertising in AI systems: Society must be vigilant Causal Inference on Outcomes Learned from Text

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.737587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94c10fd7-593a-4857-816f-c89c7a4066f5 · outbound

This paper cites Supporting human-AI collabo- ration in auditing LLMs with LLMs.

Advertising in AI systems: Society must be vigilant Supporting human-AI collabo- ration in auditing LLMs with LLMs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.208304Z

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.

Observation d65ee7e5-6cfa-4415-9ae6-f44110e96a28 · outbound

This paper cites Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection.

Advertising in AI systems: Society must be vigilant Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.017172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ede612ff-92bc-4706-8309-3eeff42f2e05 · outbound

This paper cites A reproducibility and generaliz- ability study of large language models for query generation.

Advertising in AI systems: Society must be vigilant A reproducibility and generaliz- ability study of large language models for query generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.196847Z

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.

Observation 6c38cbf3-2ff2-420e-b9f2-de541f93c489 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Advertising in AI systems: Society must be vigilant Gemini: A Family of Highly Capable Multimodal Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.404367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f165937-d155-42e6-a762-c1d75940fb27 · outbound

This paper cites Measuring and Reducing Gendered Correlations in Pre-trained Models.

Advertising in AI systems: Society must be vigilant Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.603060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 173e8c07-0e7e-4fe0-97ef-c9b779b8d245 · outbound

This paper cites A survey on real time bidding advertising.

Advertising in AI systems: Society must be vigilant A survey on real time bidding advertising

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.184127Z

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.

Observation 838799c2-1183-4f5f-8c79-18c100a624f0 · outbound

This paper cites "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection.

Advertising in AI systems: Society must be vigilant "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.494579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6584fbb1-7223-44f4-93b2-ae25161c6867 · outbound

This paper cites Prompting GPT-3 To Be Reliable.

Advertising in AI systems: Society must be vigilant Prompting GPT-3 To Be Reliable

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.134018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56edabd4-3aea-40ab-87a5-14e7877d8a54 · outbound

This paper cites The Llama 3 Herd of Models.

Advertising in AI systems: Society must be vigilant The Llama 3 Herd of Models

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:29.946146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e0a16da-9439-4038-ac0b-b80376daf8cc · outbound

This paper cites Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models.

Advertising in AI systems: Society must be vigilant Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models

Reference 2012

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:34:31.924745Z

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.

Observation 10b64acc-01e2-48b6-84c1-ec0e6da92c78 · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Advertising in AI systems: Society must be vigilant Training Language Models to Self-Correct via Reinforcement Learning

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.497064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edfa9788-310b-46fa-b947-f5846253b170 · outbound

This paper cites Independence Tests for Language Models.

Advertising in AI systems: Society must be vigilant Independence Tests for Language Models

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.875888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40fdf2b3-a834-419f-96e4-d997323eee1f · outbound

This paper cites Mechanism design for large language models.

Advertising in AI systems: Society must be vigilant Mechanism design for large language models

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:32.231703Z

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.

Observation dfa945a4-9ccd-4309-9baa-58332369285b · outbound

This paper cites Social Bias Evaluation for Large Language Models Requires Prompt Variations.

Advertising in AI systems: Society must be vigilant Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.138329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8a5255b-406a-4fd0-89e7-da36e3010e92 · outbound

This paper cites Online Advertisements with LLMs: Opportunities and Challenges.

Advertising in AI systems: Society must be vigilant Online Advertisements with LLMs: Opportunities and Challenges

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:29.553430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 786b22fd-776f-4931-913e-78a13ebc2ec6 · outbound

This paper cites R., Feng, S., Aron, R., Richardson, T., Choi, Y ., Fisher, D.

Advertising in AI systems: Society must be vigilant R., Feng, S., Aron, R., Richardson, T., Choi, Y ., Fisher, D

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:29.687769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2db7ff4b-7aa4-4c92-a86e-d25cd6915b7b · outbound

This paper cites Debiasing Algorithm through Model Adaptation.

Advertising in AI systems: Society must be vigilant Debiasing Algorithm through Model Adaptation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.611701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b907c089-5f85-4f0a-9fc0-e27845589e98 · outbound

This paper cites Language agents achieve superhuman synthesis of scientific knowledge.

Advertising in AI systems: Society must be vigilant Language agents achieve superhuman synthesis of scientific knowledge

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.248248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea84575e-8772-4dc9-b0b4-029f6b7f9938 · outbound

This paper cites GPT-4o System Card.

Advertising in AI systems: Society must be vigilant GPT-4o System Card

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.241407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb5f731-dae8-4b05-b2ce-87b99f939a8d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Advertising in AI systems: Society must be vigilant DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:30.031236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 27c06f91-9dbc-4222-9284-b88c8f64c3c3 · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Advertising in AI systems: Society must be vigilant

Reference 209

Resolution: unresolved; no resolver link, observed 2026-08-07T22:50:33.394514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e91adc4-9424-427c-a140-add1063c62fd · inbound

Generative AI Advertising as a Problem of Trustworthy Commercial Intervention cites this paper.

Generative AI Advertising as a Problem of Trustworthy Commercial Intervention Advertising in AI systems: Society must be vigilant

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:58:07.707105Z

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.