Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T03:00:12.346815Z
Paper Citation Record · LEDGER
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026)
As of 8 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 0 inbound Pith citation observations for arXiv:2607.14035.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
95 of 95 outbound references displayed
- verified exact9
- verified fuzzy0
- unresolved86
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fd26d01a-3930-48c6-8d67-d6de1ec5beeb · outbound
This paper cites GEO : Generative engine optimization.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) GEO : Generative engine optimization
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:01.729364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5cbcfd5-ba11-4a13-8c60-46437d53f71d · outbound
This paper cites Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:01.827822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8ff4fe9-a469-4f82-ba26-a5394818b0a1 · outbound
This paper cites E-GEO: A Testbed for Generative Engine Optimization in E-Commerce.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) E-GEO: A Testbed for Generative Engine Optimization in E-Commerce
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:01.916921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb24e64f-93fe-4024-aacf-3c153a2f1771 · outbound
This paper cites Generative Engine Optimization: How to Dominate AI Search.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Generative Engine Optimization: How to Dominate AI Search
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:01.984893Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50b96fca-8936-48dd-b586-ca973e5ce8ad · outbound
This paper cites CC-GSEO-Bench : A content-centric benchmark for measuring source influence in generative search engines, 2025 b.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) CC-GSEO-Bench : A content-centric benchmark for measuring source influence in generative search engines, 2025 b
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:02.085264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2910f922-9a38-4092-8d57-3fa69edcf303 · outbound
This paper cites Mind reader: Latent user demand-guided content optimization for generative search engine.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Mind reader: Latent user demand-guided content optimization for generative search engine
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-02T03:03:27.687596Z
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 5abe01f8-36ed-4f69-ad45-827dee14e3ed · outbound
This paper cites How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:02.279815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8eb720c8-8a4c-40c6-9408-1ae6caec364c · outbound
This paper cites Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:02.469027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3c1530d-2f60-478b-9d31-290f71840c96 · outbound
This paper cites Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:02.678307Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c38c48f9-27ce-400d-8ce1-80c482e3f5ab · outbound
This paper cites Answer bubbles: Information exposure in AI -mediated search, 2026.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Answer bubbles: Information exposure in AI -mediated search, 2026
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:02.852248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21931be7-8022-4fc5-ad9c-caf3b8cf67ff · outbound
This paper cites Controlling output rankings in generative engines for LLM -based search, 2026.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Controlling output rankings in generative engines for LLM -based search, 2026
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:03.024890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f70a97d-1476-429b-a595-114a1cec24ea · outbound
This paper cites SAGEO Arena : A realistic environment for evaluating search-augmented generative engine optimization, 2026.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) SAGEO Arena : A realistic environment for evaluating search-augmented generative engine optimization, 2026
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:03.253163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d865d827-e36a-4237-a209-dca1067f9ca7 · outbound
This paper cites Gummadi, and Muhammad Bilal Zafar.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Gummadi, and Muhammad Bilal Zafar
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-02T03:03:27.534307Z
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 85ea32e6-1582-44c5-984c-f097899f29a3 · outbound
This paper cites Manipulating Large Language Models to Increase Product Visibility.
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.
Observation cba39120-0b70-4dff-a7e7-62c05dc8afd8 · outbound
This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Retrieval-augmented generation for knowledge-intensive NLP tasks
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:03.882411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be27d42b-d0c5-4113-b70b-8e248bf78b48 · outbound
This paper cites Generative AI search engines as arbiters of public knowledge: An audit of bias and authority.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Generative AI search engines as arbiters of public knowledge: An audit of bias and authority
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:04.052397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ec707b8-0f13-46a0-a495-ff38948616c3 · outbound
This paper cites Liu, Tianyi Zhang, and Percy Liang.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Liu, Tianyi Zhang, and Percy Liang
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:04.210549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf78dbb4-dac5-461e-890c-b66a1793cacb · outbound
This paper cites G-Eval : NLG evaluation using GPT-4 with better human alignment.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) G-Eval : NLG evaluation using GPT-4 with better human alignment
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:04.383128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0691e0e-cce3-4428-b60a-ca13ccae6a68 · outbound
This paper cites Think before writing: Feature-level multi-objective optimization for generative citation visibility.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Think before writing: Feature-level multi-objective optimization for generative citation visibility
Reference 19
- Resolution
- verified exact
- doi, observed 2026-08-02T03:03:27.421656Z
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 f494eda9-757d-4fd4-9dff-e66d36c1e181 · outbound
This paper cites Beyond SEO: A Transformer-Based Approach for Reinventing Web Content Optimisation.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Beyond SEO: A Transformer-Based Approach for Reinventing Web Content Optimisation
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:04.707363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7870b0a2-51af-449a-b2cc-5c7a64f4308f · outbound
This paper cites Adversarial search engine optimization for large language models.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Adversarial search engine optimization for large language models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:04.844836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44a310c6-8f1d-4da4-ba2d-5846f14fa6b3 · outbound
This paper cites GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:05.002807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d20dfcb-c735-4923-aeca-fff377e0bd50 · outbound
This paper cites Ranking manipulation for conversational search engines.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Ranking manipulation for conversational search engines
Reference 23
- Resolution
- verified exact
- doi, observed 2026-08-02T03:03:27.313312Z
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 3a0b2741-de25-41aa-b036-00d29d086740 · outbound
This paper cites C-SEO Bench : Does conversational SEO work? In Advances in Neural Information Processing Systems 38: Datasets and Benchmarks Track, 2025.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) C-SEO Bench : Does conversational SEO work? In Advances in Neural Information Processing Systems 38: Datasets and Benchmarks Track, 2025
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:05.232889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84c34eac-434e-4e7a-953f-a7fbb2529827 · outbound
This paper cites The ranking blind spot: Decision hijacking in LLM -based text ranking.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) The ranking blind spot: Decision hijacking in LLM -based text ranking
Reference 25
- Resolution
- verified exact
- doi, observed 2026-08-02T03:03:27.204227Z
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 ac439701-015c-4684-916e-06721c2701a1 · outbound
This paper cites Don't Measure Once: Measuring Visibility in AI Search (GEO).
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Don't Measure Once: Measuring Visibility in AI Search (GEO)
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:05.432971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a6752d0-1247-4abb-bc11-e8a8b0c97211 · outbound
This paper cites The discovery gap: How product hunt startups vanish in LLM organic discovery queries, 2026.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) The discovery gap: How product hunt startups vanish in LLM organic discovery queries, 2026
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:05.592728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae1baeba-86fb-48cf-8dc5-d789f0f5859a · outbound
This paper cites Exploring LLM biases to manipulate AI search overview.
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.
Observation a2b2c246-3965-4958-874a-e39a05aceb47 · outbound
This paper cites StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:05.884890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76200190-9d57-4c22-a286-fa8513545938 · outbound
This paper cites Diagnosing and repairing citation failures in generative engine optimization, 2026.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Diagnosing and repairing citation failures in generative engine optimization, 2026
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:06.043569Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3850fd3-d334-45a0-9513-ab265720ca78 · outbound
This paper cites Search engines in the AI era: A qualitative understanding to the false promise of factual and verifiable source-cited responses in LLM -based search.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Search engines in the AI era: A qualitative understanding to the false promise of factual and verifiable source-cited responses in LLM -based search
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:06.147055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e35b8598-2d35-47bc-93c9-09dd5e69df75 · outbound
This paper cites Assessing web search credibility and response groundedness in chat assistants.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Assessing web search credibility and response groundedness in chat assistants
Reference 33
- Resolution
- verified exact
- doi, observed 2026-08-02T03:03:27.064306Z
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 af634446-7e15-4bd1-9eb6-3a4de3ea867e · outbound
This paper cites What evidence do language models find convincing? In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, pages 7468--7484, 2024.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) What evidence do language models find convincing? In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, pages 7468--7484, 2024
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:06.537369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a56b426-de88-4fde-8b6f-a2861874951a · outbound
This paper cites Disentangling Answer Engine Optimization from Platform Growth: A Log-Based Natural Experiment on ChatGPT Referral Traffic.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Disentangling Answer Engine Optimization from Platform Growth: A Log-Based Natural Experiment on ChatGPT Referral Traffic
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:06.695463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64354411-37b2-44ae-a784-0b437dad1d70 · outbound
This paper cites Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:06.855876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ccc01d1-5d27-441f-a6b9-fb59919c9e20 · outbound
This paper cites From experience to skill: Multi-agent generative engine optimization via reusable strategy learning.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) From experience to skill: Multi-agent generative engine optimization via reusable strategy learning
Reference 37
- Resolution
- verified exact
- doi, observed 2026-08-02T03:03:26.942600Z
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 572d2bee-9698-4c1d-8fb3-80d042cf3c9f · outbound
This paper cites Do AI overviews benefit search engines? an ecosystem perspective, 2026 b.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Do AI overviews benefit search engines? an ecosystem perspective, 2026 b
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:07.188419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85c7fcbb-e321-4c0c-8c3a-77909d9eafd3 · outbound
This paper cites What generative search engines like and how to optimize web content cooperatively.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) What generative search engines like and how to optimize web content cooperatively
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:07.356570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6aed45dc-69f6-4a85-a473-dba6a19a3f3c · outbound
This paper cites Do RAG systems cover what matters? evaluating and optimizing responses with sub-question coverage.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Do RAG systems cover what matters? evaluating and optimizing responses with sub-question coverage
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:07.466148Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7afe20db-af39-49f8-8bd3-4100b5997e12 · outbound
This paper cites Are LLM s reliable rankers? rank manipulation via two-stage token optimization.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Are LLM s reliable rankers? rank manipulation via two-stage token optimization
Reference 41
- Resolution
- verified exact
- doi, observed 2026-08-02T03:03:26.853061Z
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 649b25bf-cab0-4f1a-ac7d-02f0fc926014 · outbound
This paper cites Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:07.682039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c69317ef-484a-4336-beb5-e1bf8b061501 · outbound
This paper cites Structural feature engineering for generative engine optimization: How content structure shapes citation behavior, 2026.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Structural feature engineering for generative engine optimization: How content structure shapes citation behavior, 2026
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:07.789344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdc7f367-c78f-437f-bd63-4ef3096afd7c · outbound
This paper cites AgenticGEO : A self-evolving agentic system for generative engine optimization, 2026.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) AgenticGEO : A self-evolving agentic system for generative engine optimization, 2026
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:07.874356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01f8dcc8-ec19-4393-92d5-6394a0192e73 · outbound
This paper cites Generative engine optimization: A VLM and agent framework for pinterest acquisition growth, 2026 a.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Generative engine optimization: A VLM and agent framework for pinterest acquisition growth, 2026 a
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:07.959695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b75c932-7147-4ed3-aeb2-2c6cacaa17ef · outbound
This paper cites From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:08.092634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28a599b3-435b-4712-a1f7-946a20306f18 · outbound
This paper cites GRADA : Graph-based reranking against adversarial documents attack.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) GRADA : Graph-based reranking against adversarial documents attack
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:08.204857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c0d41cf-5de3-4fe7-84da-acf9b2103a7e · outbound
This paper cites IF-GEO : Conflict-aware instruction fusion for multi-query generative engine optimization.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) IF-GEO : Conflict-aware instruction fusion for multi-query generative engine optimization
Reference 48
- Resolution
- verified exact
- doi, observed 2026-08-02T03:03:26.743946Z
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 2cbe6095-20a0-475c-a829-1dbe96604a86 · outbound
This paper cites Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:00:08.344222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1d9ec1a-ae6e-44a2-9a56-06c4774f2edc · outbound
This paper cites Liu and Tianyi Zhang and Percy Liang , title =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Liu and Tianyi Zhang and Percy Liang , title =
Reference 50
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Observation 76955247-21c1-4f86-90f4-d2ec3f69d226 · outbound
This paper cites Proceedings of the Association for Information Science and Technology , volume =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the Association for Information Science and Technology , volume =
Reference 51
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Observation fa43646b-3c8f-48e5-a346-dd713cd1e613 · outbound
This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics , pages =
Reference 52
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Observation a79ea601-d3be-4f71-9217-9d82245e3814 · outbound
This paper cites 2024 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2024 , eprint =
Reference 53
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Observation 7e299d3a-c2a2-43bb-92be-090682b0c9c1 · outbound
This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 54
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Observation d8628861-1194-4947-afd6-8ff7e5c868f2 · outbound
This paper cites International Conference on Learning Representations , year =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) International Conference on Learning Representations , year =
Reference 55
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Observation 580b8210-0cf9-47b9-b433-1b38149bd97b · outbound
This paper cites Advances in Neural Information Processing Systems 38: Datasets and Benchmarks Track , year =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Advances in Neural Information Processing Systems 38: Datasets and Benchmarks Track , year =
Reference 56
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Observation 25002253-4a1e-4dbb-9a56-611b0b90ca9b · outbound
This paper cites The Fourteenth International Conference on Learning Representations , year =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) The Fourteenth International Conference on Learning Representations , year =
Reference 57
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Observation 9f865c1b-df78-4008-b513-e94d8d401984 · outbound
This paper cites 2025 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2025 , eprint =
Reference 58
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Observation 80861092-fd3d-439b-a6a6-71826a6cc3d4 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 59
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Observation 17c84112-5d1a-480f-b90d-0cad9904c3a4 · outbound
This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , pages =
Reference 60
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Observation 0aeb6a01-6767-48a1-aefc-8ef931a96819 · outbound
This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , pages =
Reference 61
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Observation 7a2cdb49-4a3e-4ddb-a89e-0c1a1583fd0e · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL 2026 , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Findings of the Association for Computational Linguistics: ACL 2026 , pages =
Reference 62
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Observation a9d0e24c-d25b-434c-843e-23c98481585b · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL 2026 , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Findings of the Association for Computational Linguistics: ACL 2026 , pages =
Reference 63
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Observation d564b5db-7cd8-457f-8edf-f363201d81c0 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 64
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Observation 27623567-9a1a-4dbc-bc99-e1ac703812a0 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 65
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Observation f4743a84-0a8e-4acb-9493-d732bb3202a9 · outbound
This paper cites Bagga and Vivek F.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Bagga and Vivek F
Reference 66
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Observation 0deda62b-71cc-4912-b272-4a3266937b8c · outbound
This paper cites Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval , year =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval , year =
Reference 67
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Observation b68ece89-ad3e-4463-8675-659d7c2ba8c8 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 68
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Observation c991ab04-2685-405d-9ca1-afc7b21225f1 · outbound
This paper cites Gummadi and Muhammad Bilal Zafar , title =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Gummadi and Muhammad Bilal Zafar , title =
Reference 69
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Observation 5cf2834e-bd59-4f57-9627-943e0b40a3a1 · outbound
This paper cites Chen and Mike Smith and Cristian Borcea and Yi Chen , title =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Chen and Mike Smith and Cristian Borcea and Yi Chen , title =
Reference 70
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Observation 55ec1508-00bd-4ffc-906b-a37c156c0a5c · outbound
This paper cites Montgomery , title =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Montgomery , title =
Reference 71
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Observation 28eb71aa-2009-4da3-859f-542ffb91643c · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 72
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Observation 538b677c-2546-44a4-ae4f-81118f2a119a · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 73
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Source-reported events for the cited work
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Observation 75db907a-d89f-4f85-bcdf-525f9266a4b2 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 74
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Observation 43fce126-b73c-4ea3-b728-0449fad3faa7 · outbound
This paper cites Assessing Web Search Credibility and Response Groundedness in Chat Assistants , booktitle =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Assessing Web Search Credibility and Response Groundedness in Chat Assistants , booktitle =
Reference 75
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Observation b403fc15-ac67-4df1-b3a9-61ba00ed9d44 · outbound
This paper cites Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency , pages =
Reference 76
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Observation 2e59acc2-0bd0-47ec-8c17-295a4e14d36d · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 77
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Observation 3eb0af3c-c918-4e4f-b446-d185b0580ca2 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 78
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Observation 6b073a2a-76be-49ce-9970-520ca272b1b1 · outbound
This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 79
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Observation 4b860665-da1b-4610-a66f-dffca612521e · outbound
This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , pages =
Reference 80
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Observation ab20f4cd-2c9d-4144-9779-b465d07bb7cd · outbound
This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 81
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Observation 5111fc7f-b4cd-4521-9e37-a389db7e6865 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 82
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Observation 7ff05a15-7d83-4d2f-8801-383fe8b2ed4c · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 83
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Observation d23a5354-ea1c-469b-a975-c5404c0f42bf · outbound
This paper cites 2025 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2025 , eprint =
Reference 84
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Observation 865599d3-be23-4d83-a7b6-51a765e64da9 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 85
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Observation ce5d4890-577c-49bd-bf65-2880c68a18ee · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 86
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Observation 82ba0148-c528-4c03-9b8c-ef9839307d07 · outbound
This paper cites Proceedings of the 43rd International Conference on Machine Learning: Position Paper Track , year =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 43rd International Conference on Machine Learning: Position Paper Track , year =
Reference 87
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Observation 60fb2ce5-07d5-4967-be02-821da7d026eb · outbound
This paper cites Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics , pages =
Reference 88
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- no resolver link, observed 2026-08-02T03:00:11.013577Z
Source-reported events for the cited work
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Observation 65329e90-6068-4de9-9166-223a50e5fc80 · outbound
This paper cites 2025 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2025 , eprint =
Reference 89
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- unresolved
- no resolver link, observed 2026-08-02T03:00:11.173456Z
Source-reported events for the cited work
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Observation 57dfd2e1-d656-464c-b2ae-d48662ba9ec3 · outbound
This paper cites 2025 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2025 , eprint =
Reference 90
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Source-reported events for the cited work
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Observation 6c2d76cd-672d-40e4-bb79-6d5e8e12e080 · outbound
This paper cites 2025 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2025 , eprint =
Reference 91
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- no resolver link, observed 2026-08-02T03:00:11.436594Z
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Observation 19fc8442-0c4c-4751-815d-1421b925db12 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 92
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Unavailable: canonical work link unavailable.
Observation d491e44f-b058-4175-aaef-8e9fe16d1204 · outbound
This paper cites 2026 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2026 , eprint =
Reference 93
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- no resolver link, observed 2026-08-02T03:00:11.749865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfc6d325-e266-4a5b-887a-958c0b0d2da8 · outbound
This paper cites 2025 , eprint =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) 2025 , eprint =
Reference 94
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- no resolver link, observed 2026-08-02T03:00:11.917583Z
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Observation 40a2e762-3bdc-4910-a502-edd24e7c2d75 · outbound
This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 95
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- no resolver link, observed 2026-08-02T03:00:12.080300Z
Source-reported events for the cited work
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Observation 05164719-dd4f-4ee2-b75a-29693e5373b7 · outbound
This paper cites Advances in Neural Information Processing Systems , volume =.
Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026) Advances in Neural Information Processing Systems , volume =
Reference 96
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Pith citing papers
No inbound Pith citation observations are available.