Pith. sign in

Paper Citation Record · LEDGER

Exploring LLM biases to manipulate AI search overview

As of 10 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 2026-08-10T06:31:04.303077+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:d7b053c93c5bb41c1cead1e843f259d286651b05d11f54eb8751ffb487cf1f51

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:dd891b3dce1c905d790bcad4faad0163ef2eb0604ba38e8a546fc3b7fbe3cd8c

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=sha256:347d98f9415996f05271c3272902566904dd7090b10163716d78b8c8c7a55e30

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=sha256:0bc1021263dc996adbd8ad7738b74ba6459a1d9975c251583d9f20f87f9a48ab

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=sha256:9794011b9f4aa2ecd614d4604c80f7d6b8da74fcd7dd05ec4ddf827fbccc16ae

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=sha256:0569b68fb05eca7c8d8bd6b8abd0fb6ff9ca306b86563a2a20ffa3952278b837

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=sha256:58d889e5a288369e772531037cf721a8eff8108cb1ec4d1d23630bb25e4a3074

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=sha256:443042f94a728923667b62340bebbbead4673e6554e95746fd48a03a299ebd1a

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:b6d22d75aa3209b65fcf03f23b9e96e1eea3aa4763eb72416d2f7d711215d886

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=sha256:62b7462df2f1ebccd3b7caa318d9b6833cc505139da65d39c069090832e40857

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=sha256:4cafda119b702092ca3c84422a31b8e602a98cb880c93a72ccf2f686ccd394a8

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=sha256:526c32d097d4102fb51b34eae87d901a9ca7baec40be866bf1dd446a65c88b20

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=sha256:4688d685fddc35f3741f5755dd5ea5e963f262f6734fb74a3e1aec41ae977b77

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:aa903d6d8b4a7907a5ab065f43f7f1cf31c8448be4b807359bc314cb330b8d0c