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Paper Citation Record · LEDGER

Manipulating Large Language Models to Increase Product Visibility

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2404.07981.

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

pith.paper-citation-record.v1
2404.07981 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:10:56.367249Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:08:55.799226Z

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 9f66f219-1f6d-468d-804a-8c209739b4e2 · inbound

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

White Hat Search Engine Optimization using Large Language Models Manipulating Large Language Models to Increase Product Visibility

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T13:10:56.367249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:10:56.367249Z digest=sha256:e2113669546ae67254f1b0a909a70435a1b2f7aa1890a42e48de17a0ae2d878e

Observation ceed9260-2628-4669-b8f8-d7bde3307100 · inbound

Beyond SEO: A Transformer-Based Approach for Reinventing Web Content Optimisation cites this paper.

Beyond SEO: A Transformer-Based Approach for Reinventing Web Content Optimisation Manipulating Large Language Models to Increase Product Visibility

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:25.154212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:25.154212Z digest=sha256:d0be0284564c050e4863ae01bbad3b5e773fcbcd4aa981d03540d3c744429691

Observation e3cdba70-e1a0-47fa-aff9-ea91c3760c6e · inbound

Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling cites this paper.

Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling Manipulating Large Language Models to Increase Product Visibility

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T22:01:57.245660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T22:01:57.245660Z digest=sha256:769832b05d3b93c9fecfab6c943427c5b6404a884e49558dd02476410e16173e

Observation b3884e3a-b6cb-4f53-b4a3-76971a83758e · inbound

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

Generative Engine Optimization: How to Dominate AI Search Manipulating Large Language Models to Increase Product Visibility

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T20:02:53.772323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:02:53.772323Z digest=sha256:c3a91bfd97fbe640839566e0a6f037461a4c48be9cbe5c27597702fa46cbeaf7

Observation e0392ba5-2d4c-4fbc-ae46-9747e0e8ae83 · inbound

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization cites this paper.

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization Manipulating Large Language Models to Increase Product Visibility

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T11:11:00.606204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:11:00.606204Z digest=sha256:388427a1c252fed8ad6f3033b3f7ab77b6ecffa3d0c1cdc32bd24c43dd92b941

Observation d621f1ec-894f-4398-8059-ac2ed12b5485 · inbound

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

Caption Injection for Optimization in Generative Search Engine Manipulating Large Language Models to Increase Product Visibility

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T23:49:54.571639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:49:54.571639Z digest=sha256:426abb140423a3ba6556ec927bd18d355f30de9be088afeabb73ae7daab6c78d

Observation 2e92edfd-e668-4fc3-9d93-db25ac92c553 · inbound

"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval cites this paper.

"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval Manipulating Large Language Models to Increase Product Visibility

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:20:13.709920Z

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.

source=pdf_text observed=2026-05-21T14:18:33.374331Z digest=sha256:a9a6802ba47e8dd66543bc0e7b000a3b710623163318f215be33605a3d1758e2

Observation e0664f92-c0bc-4975-99fb-73c5360b8e48 · inbound

Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources cites this paper.

Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources Manipulating Large Language Models to Increase Product Visibility

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-25T03:10:16.807465Z

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.

source=arxiv_source observed=2026-05-25T03:09:59.710039Z digest=sha256:7026d58868e067830da180fdd3c4e984723e47d193bb644ae4164570f0f0ac65

Observation dff4f8a8-d718-45e4-a278-d34b701e26ff · inbound

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings cites this paper.

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings Manipulating Large Language Models to Increase Product Visibility

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:03:24.304365Z

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.

source=arxiv_source observed=2026-06-29T11:55:34.911818Z digest=sha256:25849a0de052f97f4b38cbe0bd59a35bd759085a47364c33e88da91a551aa8f0

Observation 7b996497-c3f4-4b6c-ab4f-a0142dd86775 · inbound

Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems cites this paper.

Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems Manipulating Large Language Models to Increase Product Visibility

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:08:55.801477Z

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.

source=arxiv_source observed=2026-06-27T01:40:08.788224Z digest=sha256:d7c24e7af92b6861b599acb681367a04544c86fe256af219a1d8b593645a368b

Observation 85ea32e6-1582-44c5-984c-f097899f29a3 · inbound

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

Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Manipulating Large Language Models to Increase Product Visibility

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T03:00:03.713419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T03:00:03.713419Z digest=sha256:f90f80b8599346f8175650d975ea089f9c78de8c55377788728b3b25e8c803d7