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Paper Citation Record · LEDGER

Exploring LLM biases to manipulate AI search overview

As of 5 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2605.00012.

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

pith.paper-citation-record.v1
2605.00012 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T16:30:00.456278Z

measured 14 of 14 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:00:05.758739Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da28cad6-caea-48c6-b7a2-c5b7355b74a9 · outbound

This paper cites Google ai overviews publisher traffic decline analysis, 2026.

Exploring LLM biases to manipulate AI search overview Google ai overviews publisher traffic decline analysis, 2026

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:efb29971b4f18372a21072606f8a8e2be10dfad128f73098c7ccb5d45ac27c45

Observation 149b1d66-a90b-47ee-89cc-477bbe02892b · outbound

This paper cites Esci dataset, 2023.

Exploring LLM biases to manipulate AI search overview Esci dataset, 2023

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:8f5aa30d71c098f9a05e49761a9c07e3ac695795dcaae8ac203277422b7bd049

Observation 91302851-55b5-4eb8-8671-b5ca2a187b4c · outbound

This paper cites Generative engine optimization: How to dominate ai search, 2025.

Exploring LLM biases to manipulate AI search overview Generative engine optimization: How to dominate ai search, 2025

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:248b27734e4208574cf9efe292fbb6fe648694cc769d4247b6832bfb061c836d

Observation 108a1339-93dc-4e29-89b5-cdafbbe280b4 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms, 2023.

Exploring LLM biases to manipulate AI search overview Qlora: Efficient finetuning of quantized llms, 2023

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:a9f45eca4e01d9c9cf7ab370359fde86342ddb7ee9b7e384746b85ce702f6c70

Observation 48270bcb-2e3c-4e0b-9c9e-452e6f065552 · outbound

This paper cites google/gemma-3-1b-it, 2026.

Exploring LLM biases to manipulate AI search overview google/gemma-3-1b-it, 2026

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:155ce1fae668db35e020850491233b5ae08899f27b008042b56a34c0e8805487

Observation 2fd446eb-acb8-4b54-8a16-518553b7fbd7 · outbound

This paper cites Rewrite-to-rank: Optimizing ad visibility via retrieval-aware text rewriting, 2025.

Exploring LLM biases to manipulate AI search overview Rewrite-to-rank: Optimizing ad visibility via retrieval-aware text rewriting, 2025

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:fc63c5692bfef21641c285b2d410cdf32a438cbdc52add8ec9fb577a3f19fb6e

Observation 091546b2-1a4c-49b2-a8d5-2460ead9118a · outbound

This paper cites intfloat/e5-small, 2026.

Exploring LLM biases to manipulate AI search overview intfloat/e5-small, 2026

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:5b17b455e101dae881c7ea67879f1ba33f5ddbbce25dbea44e36836f7c38033b

Observation d570f053-3ae0-40e0-90eb-9da7e7036e73 · outbound

This paper cites Understanding r1-zero-like training: A critical perspective, 2025.

Exploring LLM biases to manipulate AI search overview Understanding r1-zero-like training: A critical perspective, 2025

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:06db777816caabd11922f0c1a10b1fc4b3891d60e112feb0a4eee13fd9fbbbc6

Observation 8644f3a8-ae1e-4331-800c-ffd7e33ee47a · outbound

This paper cites Adversarial search engine optimization for large language models, 2024.

Exploring LLM biases to manipulate AI search overview Adversarial search engine optimization for large language models, 2024

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:f9d243b2f67fc86750caf0e32a520a362e62fd11ef62323fdf834e093ba667fb

Observation df1e5760-ab28-4b2d-acdd-95f70f1af658 · outbound

This paper cites an unresolved cited work.

Exploring LLM biases to manipulate AI search overview Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:9e69096c5e91eaae4b3da59fd2a7440ec130af973e4a61b2392fb7f2008cd07f

Observation 46a6ae14-8fec-4725-a620-f47c417efd5a · outbound

This paper cites What generative search engines like and how to optimize web content cooperatively, 2025.

Exploring LLM biases to manipulate AI search overview What generative search engines like and how to optimize web content cooperatively, 2025

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:737a084ee6c56e1e40bc4e9e70c774d7b75e5335387a80efd561591c58348ffa

Observation 6bc9c30b-102e-4653-90d1-3c50d1103653 · outbound

This paper cites Justice or prejudice? quantifying biases in llm-as-a-judge, 2024.

Exploring LLM biases to manipulate AI search overview Justice or prejudice? quantifying biases in llm-as-a-judge, 2024

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:22694738ee4086d265a81275a82594e0a0587ab9faf5b94db053fcc21d62d4e1

Observation ee87bd99-2b56-499e-800b-8da8c971c1ca · outbound

This paper cites "" The user will provide a d i c t i o n a r y of search results in JSON format for search query \.

Exploring LLM biases to manipulate AI search overview "" The user will provide a d i c t i o n a r y of search results in JSON format for search query \

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-13T16:30:00.456278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:30:00.456278Z digest=sha256:b4b811667fed924e71cb2bc3443965fc518b00dd5ab3e3926e05097a398bf6d5

Pith citing papers

Observation ae1baeba-86fb-48cf-8dc5-d789f0f5859a · 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) Exploring LLM biases to manipulate AI search overview

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T03:00:05.758739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T03:00:05.758739Z digest=sha256:52b354e3b44ba80fea316d5949ae7798d3da72588b53662ba5101a65b20df2da