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Paper Citation Record · LEDGER

Adversarial Search Engine Optimization for Large Language Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:06:12.789354Z

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 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.

source=pdf_text observed=2026-08-04T08:06:12.789354Z digest=sha256:c2f9c0a07ff383eb0c85aeefb41d371a6d1d89a4c25a64dfb11c663238d490d8

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.

source=pdf_text observed=2026-08-03T23:49:54.610498Z digest=sha256:ca29892f293aacd3f86d8ab878c0924930c07fad315a36a7b73b3c87ba2b99ca

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T17:40:10.135567Z digest=sha256:81e1e1da74a1fd3cbf284535d7c7736da94f4793d7130b61e17e40937399febc

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T00:43:19.409884Z digest=sha256:5c5db23b92c2f1d8480b1b0cc874ee59d2002b54e33faef8602cb5cf8a376324

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T07:56:13.270387Z digest=sha256:259afc3c80dce58dfb1227d5e68e0cf3f5813295bac3baf14b66a99174deb03d