Paper Citation Record · LEDGER

Fair Document Valuation in LLM Summaries via Shapley Values

As of 20 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 5 inbound Pith citation observations for arXiv:2505.23842.

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

pith.paper-citation-record.v1
2505.23842 v5

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:13.390220Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:34:09.551730Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-09T08:16:05.727273Z

Reference resolution

87 of 87 outbound references displayed

verified exact4
verified fuzzy55
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f275dbc-9dae-4d26-8ba0-8295db5bcead · outbound

This paper cites AI/ML API inference pricing, 2025.

Fair Document Valuation in LLM Summaries via Shapley Values AI/ML API inference pricing, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:03.455778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ba3c699-b0e2-4b53-be4a-6f36583eb5ea · outbound

This paper cites How can publishers collaborate and compete with news aggregators? Journal of Marketing Research, 60 0 (6): 0 1114--1134, 2023.

Fair Document Valuation in LLM Summaries via Shapley Values How can publishers collaborate and compete with news aggregators? Journal of Marketing Research, 60 0 (6): 0 1114--1134, 2023

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:03.528845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f23821c-57f1-4430-a212-d5ae3da45f16 · outbound

This paper cites The impact of aggregators on internet news consumption.

Fair Document Valuation in LLM Summaries via Shapley Values The impact of aggregators on internet news consumption

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:03.645125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90cf9969-203e-462f-b985-d00d3a9eea30 · outbound

This paper cites Approximating power indices: theoretical and empirical analysis.

Fair Document Valuation in LLM Summaries via Shapley Values Approximating power indices: theoretical and empirical analysis

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:03.720251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a52ea7-260b-4b15-895e-ec9a2c6297e3 · outbound

This paper cites Relatif: Identifying explanatory training samples via relative influence.

Fair Document Valuation in LLM Summaries via Shapley Values Relatif: Identifying explanatory training samples via relative influence

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:03.804485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7858364e-19b0-4eb6-81d7-497702da3588 · outbound

This paper cites The creator economy: Managing ecosystem supply, revenue sharing, and platform design.

Fair Document Valuation in LLM Summaries via Shapley Values The creator economy: Managing ecosystem supply, revenue sharing, and platform design

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:03.941428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4debd961-6ac4-4ec1-9f39-c3e14ffc51db · outbound

This paper cites What do news aggregators do? evidence from google news in spain and germany.

Fair Document Valuation in LLM Summaries via Shapley Values What do news aggregators do? evidence from google news in spain and germany

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:04.093004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba33f68-21d1-425f-8006-8e81dba2e31e · outbound

This paper cites Will google’s ai overview kill web traffic?, January 2025.

Fair Document Valuation in LLM Summaries via Shapley Values Will google’s ai overview kill web traffic?, January 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:24.546030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cade6870-6f83-471b-83c6-f279f30dd5f1 · outbound

This paper cites Polynomial calculation of the shapley value based on sampling.

Fair Document Valuation in LLM Summaries via Shapley Values Polynomial calculation of the shapley value based on sampling

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:24.395845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5492ccdc-5f85-4586-932f-a8a4479ddd12 · outbound

This paper cites How i became yelp elite in 48 days, August 2023.

Fair Document Valuation in LLM Summaries via Shapley Values How i became yelp elite in 48 days, August 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:24.265823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66b3a224-cb35-4daf-a101-00a2f8b3c348 · outbound

This paper cites Exclusive: Google’s AI O verviews hit by EU antitrust complaint from independent publishers, 2025.

Fair Document Valuation in LLM Summaries via Shapley Values Exclusive: Google’s AI O verviews hit by EU antitrust complaint from independent publishers, 2025

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:24.109161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13a87d4c-78d4-450c-a95d-b89e7b3995ef · outbound

This paper cites The equivalence of uniform and shapley value-based cost allocations in a specific game.

Fair Document Valuation in LLM Summaries via Shapley Values The equivalence of uniform and shapley value-based cost allocations in a specific game

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:23.928530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f314339e-7f9a-4922-82d5-bb73d55f2355 · outbound

This paper cites Balancing engagement and polarization: Multi-objective alignment of news content using llms.

Fair Document Valuation in LLM Summaries via Shapley Values Balancing engagement and polarization: Multi-objective alignment of news content using llms

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:04.983822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5100fb-68d9-4569-b143-538acfb3c877 · outbound

This paper cites The effect of word of mouth on sales: Online book reviews.

Fair Document Valuation in LLM Summaries via Shapley Values The effect of word of mouth on sales: Online book reviews

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:23.638589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 145cc55e-b92c-4db9-9674-0981f2999fba · outbound

This paper cites Detection of influential observation in linear regression.

Fair Document Valuation in LLM Summaries via Shapley Values Detection of influential observation in linear regression

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:23.457556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 213c0413-30c5-4d6f-bb61-d0ded4d8371b · outbound

This paper cites Shapley value approximation with divisive clustering.

Fair Document Valuation in LLM Summaries via Shapley Values Shapley value approximation with divisive clustering

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:23.297636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0e15eb0e-4002-492b-b4cc-cf2683260ccc · outbound

This paper cites Imperfect monitoring and impermanent reputations.

Fair Document Valuation in LLM Summaries via Shapley Values Imperfect monitoring and impermanent reputations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:23.087312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 551c7b78-1328-4689-ae31-c1ee03529986 · outbound

This paper cites 60\ Link https://searchengineland.com/perplexity-citations-top-10-google-organic-results-439029.

Fair Document Valuation in LLM Summaries via Shapley Values 60\ Link https://searchengineland.com/perplexity-citations-top-10-google-organic-results-439029

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:22.804252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3c752b7-57a1-4ec5-adda-ae9cd35ed3cf · outbound

This paper cites Media, aggregators, and the link economy: Strategic hyperlink formation in content networks.

Fair Document Valuation in LLM Summaries via Shapley Values Media, aggregators, and the link economy: Strategic hyperlink formation in content networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:22.551077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b192d3cb-f8c9-4028-a4b6-e1eb0940a2c2 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Fair Document Valuation in LLM Summaries via Shapley Values From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:06.023860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 282f87bc-d87f-44f7-bffe-37cdbfaf91bb · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

Fair Document Valuation in LLM Summaries via Shapley Values A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:22.299808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f880f55-4eca-44cb-a0df-3182a5cffc39 · outbound

This paper cites Explainable machine learning for financial risk management: Two practical use cases.

Fair Document Valuation in LLM Summaries via Shapley Values Explainable machine learning for financial risk management: Two practical use cases

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:22.001072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c09458d-a9bb-4bde-b1c7-b5fb2b2d7d5e · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models.

Fair Document Valuation in LLM Summaries via Shapley Values A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:06.453051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bec83c4-33b4-448a-a37b-629bc8ba03cd · outbound

This paper cites A linear approximation method for the S hapley value.

Fair Document Valuation in LLM Summaries via Shapley Values A linear approximation method for the S hapley value

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:21.730570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8061cf24-a225-48cd-adec-f3587751d849 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Fair Document Valuation in LLM Summaries via Shapley Values Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:06.724562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2323525-1c86-40ab-af48-0587fa218a05 · outbound

This paper cites Data shapley: Equitable valuation of data for machine learning.

Fair Document Valuation in LLM Summaries via Shapley Values Data shapley: Equitable valuation of data for machine learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:06.886881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1811ae1-0a76-4f42-aff5-e2fc22d1dd30 · outbound

This paper cites Google ceo says ai overviews are increasing search usage, April 2024.

Fair Document Valuation in LLM Summaries via Shapley Values Google ceo says ai overviews are increasing search usage, April 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:21.427713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b5e31cd-97a3-40a5-847e-097111752489 · outbound

This paper cites AI overviews – search anything, effortlessly, 2025.

Fair Document Valuation in LLM Summaries via Shapley Values AI overviews – search anything, effortlessly, 2025

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:21.158801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b794613a-8234-4714-93bd-c96bba6ac0d9 · outbound

This paper cites Do Not Trust Additive Explanations.

Fair Document Valuation in LLM Summaries via Shapley Values Do Not Trust Additive Explanations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:07.385770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe9de5b4-85aa-440c-8958-8b9f16a6e554 · outbound

This paper cites Grynbaum and Ryan Mac.

Fair Document Valuation in LLM Summaries via Shapley Values Grynbaum and Ryan Mac

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:20.942901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e69d0c34-a32f-4ed5-9835-5b5e99a64be1 · outbound

This paper cites FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging.

Fair Document Valuation in LLM Summaries via Shapley Values FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:07.717314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a42f87b0-8b81-43b4-984c-8c1c406dc908 · outbound

This paper cites 40.58\ Link https://writesonic.com/blog/ai-citations-from-serp-results-study.

Fair Document Valuation in LLM Summaries via Shapley Values 40.58\ Link https://writesonic.com/blog/ai-citations-from-serp-results-study

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:20.817709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation edb0dff1-df56-45ad-b95a-202ed420549f · outbound

This paper cites Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions.

Fair Document Valuation in LLM Summaries via Shapley Values Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:08.019714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c25245bc-896c-42e0-abd6-f0d768ee6cf7 · outbound

This paper cites Sentiment analysis on large scale amazon product reviews.

Fair Document Valuation in LLM Summaries via Shapley Values Sentiment analysis on large scale amazon product reviews

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:20.686373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 723f2fab-165c-4dcb-8df3-c76f05af018b · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

Fair Document Valuation in LLM Summaries via Shapley Values Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:08.157569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87aab23-3129-446a-acf9-bb38740f00c1 · outbound

This paper cites News aggregators and competition among newspapers on the internet.

Fair Document Valuation in LLM Summaries via Shapley Values News aggregators and competition among newspapers on the internet

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:20.516709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 613db5e5-507f-49a7-a139-9335240aa4a9 · outbound

This paper cites Towards efficient data valuation based on the shapley value.

Fair Document Valuation in LLM Summaries via Shapley Values Towards efficient data valuation based on the shapley value

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:20.336919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf8917e0-a924-4b0d-848e-253c21e28b0e · outbound

This paper cites Active retrieval augmented generation.

Fair Document Valuation in LLM Summaries via Shapley Values Active retrieval augmented generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:08.359388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc5629c1-20ed-435b-8a1d-f86d4178d722 · outbound

This paper cites Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction.

Fair Document Valuation in LLM Summaries via Shapley Values Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:08.430620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea77ab15-3be1-4975-bc01-e3e8c36d2a86 · outbound

This paper cites Bert meets shapley: Extending shap explanations to transformer-based classifiers.

Fair Document Valuation in LLM Summaries via Shapley Values Bert meets shapley: Extending shap explanations to transformer-based classifiers

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:20.115952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f089b28c-1c79-46fd-ba78-dcb171ede5b6 · outbound

This paper cites Neural insights for digital marketing content design.

Fair Document Valuation in LLM Summaries via Shapley Values Neural insights for digital marketing content design

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:19.929294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a4f19f9-6e87-4fa1-bb14-768654e378f1 · outbound

This paper cites Accountable algorithms.

Fair Document Valuation in LLM Summaries via Shapley Values Accountable algorithms

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:19.811369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5a8f15b3-7359-464b-98e2-e4776da46e3a · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Fair Document Valuation in LLM Summaries via Shapley Values u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:08.692415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35ad9da6-4702-4306-91a4-1d8b9194f627 · outbound

This paper cites Unified auto clinical scoring (uni-acs) with interpretable ml models.

Fair Document Valuation in LLM Summaries via Shapley Values Unified auto clinical scoring (uni-acs) with interpretable ml models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:19.666818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9863753-b1dc-4582-889a-a62481dfcb30 · outbound

This paper cites Learning to rank for information retrieval.

Fair Document Valuation in LLM Summaries via Shapley Values Learning to rank for information retrieval

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:19.548973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 25c66060-9ba0-4a2b-af95-6ecf758468df · outbound

This paper cites Least squares quantization in pcm.

Fair Document Valuation in LLM Summaries via Shapley Values Least squares quantization in pcm

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:08.914681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76165ed8-b1a7-46dd-baf7-33780ef82a71 · outbound

This paper cites Lundberg and Su-In Lee.

Fair Document Valuation in LLM Summaries via Shapley Values Lundberg and Su-In Lee

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:19.414372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 124a16e9-d176-4307-94bc-8a5cb3d64bbc · outbound

This paper cites Bounding the Estimation Error of Sampling-based Shapley Value Approximation.

Fair Document Valuation in LLM Summaries via Shapley Values Bounding the Estimation Error of Sampling-based Shapley Value Approximation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:09.029060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73e8b236-5880-44ec-8c0e-75c9e502aa65 · outbound

This paper cites an unresolved cited work.

Fair Document Valuation in LLM Summaries via Shapley Values Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:14:19.314775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b261b66-96e0-4a46-a35e-b7e57f41d657 · outbound

This paper cites Link to success: How blogs build an audience by promoting rivals.

Fair Document Valuation in LLM Summaries via Shapley Values Link to success: How blogs build an audience by promoting rivals

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:19.160804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67968417-3ca8-4379-a47f-1acca7cc7cef · outbound

This paper cites Amazon announces Rufus , a new generative AI -powered conversational shopping experience, 2024.

Fair Document Valuation in LLM Summaries via Shapley Values Amazon announces Rufus , a new generative AI -powered conversational shopping experience, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:19.029856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dc4462d6-80e3-472a-829c-3c3c5bf2c085 · outbound

This paper cites Copilot search in bing, 2025.

Fair Document Valuation in LLM Summaries via Shapley Values Copilot search in bing, 2025

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:18.910709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6df8bad3-dd30-4ff9-8ba6-9c95275aecd7 · outbound

This paper cites Textrank: Bringing order into text.

Fair Document Valuation in LLM Summaries via Shapley Values Textrank: Bringing order into text

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:18.758185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b758cce3-4e48-450c-a7d5-b17b1a4e5823 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Fair Document Valuation in LLM Summaries via Shapley Values Efficient Estimation of Word Representations in Vector Space

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:09.435692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff0651f7-ec90-4f69-a3a1-6fd09892d632 · outbound

This paper cites Introducing ChatGPT search, 2024.

Fair Document Valuation in LLM Summaries via Shapley Values Introducing ChatGPT search, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:18.570927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e71ccccf-8e91-4fd8-8c33-69519608f9e0 · outbound

This paper cites A survey of text representation and embedding techniques in NLP.

Fair Document Valuation in LLM Summaries via Shapley Values A survey of text representation and embedding techniques in NLP

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:18.405729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22a6f8af-1c42-4250-b763-03ca7e9804c5 · outbound

This paper cites Glove: Global vectors for word representation.

Fair Document Valuation in LLM Summaries via Shapley Values Glove: Global vectors for word representation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:09.649871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e522236-f3fd-4ec3-8773-7ace9709c3c2 · outbound

This paper cites Link https://www.perplexity.ai.

Fair Document Valuation in LLM Summaries via Shapley Values Link https://www.perplexity.ai

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:18.235024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 406e287a-1c7d-4840-9157-337404510ec8 · outbound

This paper cites ProRata AI , 2025.

Fair Document Valuation in LLM Summaries via Shapley Values ProRata AI , 2025

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:18.080852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f605759f-2065-46b9-9b7a-4d8c89bd0626 · outbound

This paper cites Summarization is (Almost) Dead.

Fair Document Valuation in LLM Summaries via Shapley Values Summarization is (Almost) Dead

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:09.836788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77bbfdcc-a0bb-4e77-a41c-c03d80f3475b · outbound

This paper cites From model explanation to data misinterpretation: Uncovering the pitfalls of post hoc explainers in business research.

Fair Document Valuation in LLM Summaries via Shapley Values From model explanation to data misinterpretation: Uncovering the pitfalls of post hoc explainers in business research

Reference 61

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:14:14.684542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 208e1ae0-8a1f-43cd-a117-8b9de7ddee0c · outbound

This paper cites What is karma?, November 2024.

Fair Document Valuation in LLM Summaries via Shapley Values What is karma?, November 2024

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:09.977675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13462e42-caa7-4a27-841d-861d00ac7686 · outbound

This paper cites Generative AI in search: Let google do the searching for you, May 2024.

Fair Document Valuation in LLM Summaries via Shapley Values Generative AI in search: Let google do the searching for you, May 2024

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:17.937355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23b945b4-8e43-4c71-9660-9787ce9b5ade · outbound

This paper cites Reputation systems.

Fair Document Valuation in LLM Summaries via Shapley Values Reputation systems

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:17.782231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3086cea-50d5-4fe8-8947-3a68a29c3d67 · outbound

This paper cites Openai strikes a deal to license news corp content, May 2024.

Fair Document Valuation in LLM Summaries via Shapley Values Openai strikes a deal to license news corp content, May 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:17.651774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6b3e61e-a407-46b6-9246-07c643421dbb · outbound

This paper cites From threat to opportunity: Gaming the algorithmic system as a service.

Fair Document Valuation in LLM Summaries via Shapley Values From threat to opportunity: Gaming the algorithmic system as a service

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:17.518814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe25b653-cd28-45e6-b598-a9caaa2c58c4 · outbound

This paper cites How amazon continues to improve the customer reviews experience with generative AI , 2023.

Fair Document Valuation in LLM Summaries via Shapley Values How amazon continues to improve the customer reviews experience with generative AI , 2023

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:17.412784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b24419b6-7e8c-4679-82e6-6a93df302391 · outbound

This paper cites Introduction to information retrieval, volume 39.

Fair Document Valuation in LLM Summaries via Shapley Values Introduction to information retrieval, volume 39

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:17.262273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6eb822b-d653-4e28-a2fc-be6407a76dd9 · outbound

This paper cites Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences.

Fair Document Valuation in LLM Summaries via Shapley Values Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:17.094746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7d295612-d2b8-480f-a4c7-ca52004f50f2 · outbound

This paper cites A value for n-person games.

Fair Document Valuation in LLM Summaries via Shapley Values A value for n-person games

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:16.963749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d5e461e-707c-450d-a31e-c26fcd1c60ba · outbound

This paper cites Google: It’s ‘misleading’ for websites to blame ai overviews for lost traffic, April 2025.

Fair Document Valuation in LLM Summaries via Shapley Values Google: It’s ‘misleading’ for websites to blame ai overviews for lost traffic, April 2025

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:16.800496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0bf309db-9517-4162-bf4e-e8570880b3ee · outbound

This paper cites Does carrying news increase engagement with non-news content on social media platforms? Available at SSRN 4490982, 2023.

Fair Document Valuation in LLM Summaries via Shapley Values Does carrying news increase engagement with non-news content on social media platforms? Available at SSRN 4490982, 2023

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:16.593838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2d692897-09c2-44d9-a9f5-c048b15b42ef · outbound

This paper cites Perplexity serving over 100 million queries per week, April 2024.

Fair Document Valuation in LLM Summaries via Shapley Values Perplexity serving over 100 million queries per week, April 2024

Reference 73

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:14:14.319795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 920095ba-1c8b-46ce-b20c-0a167f661774 · outbound

This paper cites Perplexity has crossed \ 100m in annualized revenue, March 2025.

Fair Document Valuation in LLM Summaries via Shapley Values Perplexity has crossed \ 100m in annualized revenue, March 2025

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:16.390862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 118f1534-107f-416d-a980-57d515dc9b6f · outbound

This paper cites ProRata invents generative ai attribution technology to compensate and credit content owners while facilitating fairness and fact, with support from universal music group, 2024.

Fair Document Valuation in LLM Summaries via Shapley Values ProRata invents generative ai attribution technology to compensate and credit content owners while facilitating fairness and fact, with support from universal music group, 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:16.180261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 296d032d-7550-49f6-a1ff-eab44662b7cb · outbound

This paper cites An Economic Solution to Copyright Challenges of Generative AI.

Fair Document Valuation in LLM Summaries via Shapley Values An Economic Solution to Copyright Challenges of Generative AI

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:12.029323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3770e25-1129-40a7-bcb0-53a3e7f297c9 · outbound

This paper cites Competition, contracts, and creativity: Evidence from novel writing in a platform market.

Fair Document Valuation in LLM Summaries via Shapley Values Competition, contracts, and creativity: Evidence from novel writing in a platform market

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:16.003518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b772f4d6-e527-468d-947e-0556f6265c12 · outbound

This paper cites ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience.

Fair Document Valuation in LLM Summaries via Shapley Values ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:14:14.026779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 37232ff3-eaa0-4aa2-8ee7-7e622f2c9980 · outbound

This paper cites LOLA : Llm-assisted online learning algorithm for content experiments.

Fair Document Valuation in LLM Summaries via Shapley Values LOLA : Llm-assisted online learning algorithm for content experiments

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:15.868320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f475d445-6ec2-44ca-8b5f-505d40403b7d · outbound

This paper cites The value of reputation in an online freelance marketplace.

Fair Document Valuation in LLM Summaries via Shapley Values The value of reputation in an online freelance marketplace

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:15.736631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c411593-d0bf-43e5-a61b-07b98e113cfe · outbound

This paper cites Search personalization using machine learning.

Fair Document Valuation in LLM Summaries via Shapley Values Search personalization using machine learning

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:15.609597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3df9469-4f21-4dd7-8021-0f64452bf8b9 · outbound

This paper cites Cloudflare launches a marketplace that lets websites charge AI bots for scraping, 2025.

Fair Document Valuation in LLM Summaries via Shapley Values Cloudflare launches a marketplace that lets websites charge AI bots for scraping, 2025

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:15.469226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 883ec490-821e-4f42-9f4d-a2bbcccaecea · outbound

This paper cites LLaSA: Large Language and E-Commerce Shopping Assistant.

Fair Document Valuation in LLM Summaries via Shapley Values LLaSA: Large Language and E-Commerce Shopping Assistant

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:12.950304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eb510a9-eb7a-4c2f-b613-7de594b10e82 · outbound

This paper cites If platforms are exploiting producers, is platform competition the solution? Available at SSRN 4728676, 2024 b.

Fair Document Valuation in LLM Summaries via Shapley Values If platforms are exploiting producers, is platform competition the solution? Available at SSRN 4728676, 2024 b

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:15.349186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 34b95a46-60ec-4807-b01e-fb3fff8ccbbd · outbound

This paper cites Lexical diversity-aware relevance assessment for retrieval-augmented generation.

Fair Document Valuation in LLM Summaries via Shapley Values Lexical diversity-aware relevance assessment for retrieval-augmented generation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:15.225897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d95bee8a-af63-46a3-afd1-75587b07891a · outbound

This paper cites Generative search: Evidence from a large-scale field experiment.

Fair Document Valuation in LLM Summaries via Shapley Values Generative search: Evidence from a large-scale field experiment

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:15.038054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09370d92-7cde-4c87-9955-eda57052800e · outbound

This paper cites Reddit answers (currently in beta), 2025.

Fair Document Valuation in LLM Summaries via Shapley Values Reddit answers (currently in beta), 2025

Reference 87

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:14:13.688590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 1d292eef-b3c3-4e0d-9a31-4b50797bb978 · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Fair Document Valuation in LLM Summaries via Shapley Values

Reference 122

Resolution: unresolved; no resolver link, observed 2026-08-07T22:50:33.121821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335bd411-e139-449b-94ea-69ca935dd0fc · inbound

Shapley-based Data Valuation for LLM Alignment via Sequential Preference Optimization cites this paper.

Shapley-based Data Valuation for LLM Alignment via Sequential Preference Optimization Fair Document Valuation in LLM Summaries via Shapley Values

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T16:59:16.129143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4cd144d-1455-4422-acea-cd6528c39292 · inbound

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation cites this paper.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Fair Document Valuation in LLM Summaries via Shapley Values

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-10T01:18:45.447774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 193ca6cc-1871-4469-9b85-56f83cf7af31 · inbound

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles Fair Document Valuation in LLM Summaries via Shapley Values

Reference 214

Resolution: unresolved; no resolver link, observed 2026-08-01T17:38:10.738963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9512b56a-6cca-4169-b25c-47b3b027ec44 · inbound

Beyond Shapley: An Influence-Based Data Auditing Pipeline for LLM Alignment and Evaluation cites this paper.

Beyond Shapley: An Influence-Based Data Auditing Pipeline for LLM Alignment and Evaluation Fair Document Valuation in LLM Summaries via Shapley Values

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T15:34:09.551730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.