Paper Citation Record · LEDGER

Online Advertisements with LLMs: Opportunities and Challenges

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2311.07601.

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

pith.paper-citation-record.v1
2311.07601 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:29.553430Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:37:30.921373Z

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 a8a5255b-406a-4fd0-89e7-da36e3010e92 · inbound

Advertising in AI systems: Society must be vigilant cites this paper.

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 a86cfb1e-1bb5-421c-8bdd-a4f6da624638 · inbound

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution cites this paper.

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution Online Advertisements with LLMs: Opportunities and Challenges

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:40:26.244606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5110ba82-3be9-44e0-b73e-b9d2b7abe795 · inbound

NaiAD: Initiate Data-Driven Research for LLM Advertising cites this paper.

NaiAD: Initiate Data-Driven Research for LLM Advertising Online Advertisements with LLMs: Opportunities and Challenges

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:23.807382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a76445c5-fac4-45eb-af74-3e3610cee3f4 · inbound

Mechanism Design for Quality-Preserving LLM Advertising cites this paper.

Mechanism Design for Quality-Preserving LLM Advertising Online Advertisements with LLMs: Opportunities and Challenges

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:17:02.438889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6bf8ad3-9217-484f-b920-a4da028de486 · inbound

LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbots cites this paper.

LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbots Online Advertisements with LLMs: Opportunities and Challenges

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:02:48.920537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b860325a-8610-41a4-90a9-f828ece9dbd8 · inbound

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

Generative AI Advertising as a Problem of Trustworthy Commercial Intervention Online Advertisements with LLMs: Opportunities and Challenges

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T07:58:07.731041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 336c7900-f3fe-4b76-8478-81ce35a5d019 · inbound

Customization under Fire: Plugin Poisoning in Text-to-Image Ecosystem cites this paper.

Customization under Fire: Plugin Poisoning in Text-to-Image Ecosystem Online Advertisements with LLMs: Opportunities and Challenges

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:37:30.922878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee5e5358-c0e2-4780-b5b3-3c4138a649ce · inbound

PILA: Plug-and-Play Insertion for LLM-native Advertising cites this paper.

PILA: Plug-and-Play Insertion for LLM-native Advertising Online Advertisements with LLMs: Opportunities and Challenges

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T02:05:07.075181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.