Paper Citation Record · LEDGER

Adversarial Search Engine Optimization for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.18382.

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

pith.paper-citation-record.v1
2406.18382 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:57:43.522329Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:40:26.246076Z

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 c2b34cd0-1d93-4f09-8b81-912b7c9da2c2 · inbound

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search cites this paper.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Adversarial Search Engine Optimization for Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.522329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b004f65c-28e9-4d9e-aebe-ed0761697109 · inbound

White Hat Search Engine Optimization using Large Language Models cites this paper.

White Hat Search Engine Optimization using Large Language Models Adversarial Search Engine Optimization for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T13:10:56.387803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5365cf22-08b9-4730-9778-c3bf52a2e170 · inbound

Adversarial Attacks on Robotic Vision Language Action Models cites this paper.

Adversarial Attacks on Robotic Vision Language Action Models Adversarial Search Engine Optimization for Large Language Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T11:11:40.516945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74d8ed3e-d4b1-40cf-838a-0f0b0faf56be · inbound

Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics cites this paper.

Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics Adversarial Search Engine Optimization for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:36.919867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7445a4f7-a8d3-49f0-8d92-2a8c1be7be3b · inbound

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents Adversarial Search Engine Optimization for Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T08:06:12.789354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df730021-6be6-46d5-ba7f-0a4c196e4146 · inbound

Caption Injection for Optimization in Generative Search Engine cites this paper.

Caption Injection for Optimization in Generative Search Engine Adversarial Search Engine Optimization for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T23:49:54.610498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9259a03e-167f-4348-ad3f-6a41fc78fca8 · inbound

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

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution Adversarial Search Engine Optimization for Large Language Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:40:26.248051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d31066d2-e84a-40b6-bd19-056191fcfc37 · inbound

Tug-of-War within A Decade: Conflict Resolution in Vulnerability Analysis via Teacher-Guided Retrieval-Augmented Generations cites this paper.

Tug-of-War within A Decade: Conflict Resolution in Vulnerability Analysis via Teacher-Guided Retrieval-Augmented Generations Adversarial Search Engine Optimization for Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:43:24.311732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88ff2133-b1c0-4e87-beb0-c53f43ed82cd · inbound

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

Generative AI Advertising as a Problem of Trustworthy Commercial Intervention Adversarial Search Engine Optimization for Large Language Models

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T07:58:07.722028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.