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Paper Citation Record · LEDGER

Incentivizing Inclusive Contributions in Model Sharing Markets

As of 17 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2505.02462.

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

pith.paper-citation-record.v1
2505.02462 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:04:58.734679Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation 8f611959-2ba2-4a85-9d96-586b485fa66e · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Incentivizing Inclusive Contributions in Model Sharing Markets Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 1

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Observation 7dd56d73-319d-4b8c-ae89-5f93e72f05a1 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Incentivizing Inclusive Contributions in Model Sharing Markets The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 2

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Observation e138d087-ed10-4e7b-80b0-4cee2e8128d9 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Incentivizing Inclusive Contributions in Model Sharing Markets LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 3

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Observation 9f86d181-1a24-4c9e-9235-603fa561a741 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in Neural Information Processing Systems, 35:25278–25294, 2022.

Incentivizing Inclusive Contributions in Model Sharing Markets Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in Neural Information Processing Systems, 35:25278–25294, 2022

Reference 4

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Observation a3f0865d-d7a5-407c-9903-8c1817ff293b · outbound

This paper cites Language models are few-shot learners.

Incentivizing Inclusive Contributions in Model Sharing Markets Language models are few-shot learners

Reference 5

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Observation 07b6b786-b19d-40b7-9e11-04aabbb6f668 · outbound

This paper cites Training language models to follow instructions with human feedback.

Incentivizing Inclusive Contributions in Model Sharing Markets Training language models to follow instructions with human feedback

Reference 6

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Observation 7e035c1d-6b5c-4f52-8cca-b1e37e29618b · outbound

This paper cites High-resolution image synthesis with latent di ffusion models.

Incentivizing Inclusive Contributions in Model Sharing Markets High-resolution image synthesis with latent di ffusion models

Reference 7

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Observation c494ef72-ea23-41cd-880b-40471e27dd39 · outbound

This paper cites Zero-shot text-to-image generation.

Incentivizing Inclusive Contributions in Model Sharing Markets Zero-shot text-to-image generation

Reference 8

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source=pdf_text observed=2026-08-16T01:04:58.554636Z digest=sha256:638bb5a77ca19be4decae6f2f79b93a91451dd8291ba4605da06bb28b986084b

Observation c4d49c26-3b2e-42a0-8111-6f56fdab8183 · outbound

This paper cites GPT-4 Technical Report.

Incentivizing Inclusive Contributions in Model Sharing Markets GPT-4 Technical Report

Reference 9

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source=pdf_text observed=2026-08-16T01:04:58.562139Z digest=sha256:2828fb2a016032e76fdfdcd2a1c4067b398b068cd88ca8b275e8dac0f7d20c5b

Observation 738bccb7-b405-4b6b-8a2c-9bd2bf172f34 · outbound

This paper cites Scaling Laws for Neural Language Models.

Incentivizing Inclusive Contributions in Model Sharing Markets Scaling Laws for Neural Language Models

Reference 10

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source=pdf_text observed=2026-08-16T01:04:58.566446Z digest=sha256:8fa201be4b1a3631068bf88e203946c405cd6739c24409ebff88c7dca8576598

Observation 8388d6d6-7ee7-410a-8e49-6e64b2408816 · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

Incentivizing Inclusive Contributions in Model Sharing Markets Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 11

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source=pdf_text observed=2026-08-16T01:04:58.571255Z digest=sha256:97adfc46507f55253d2cddd3e9fd4dd9a7ec14c609ad8de0c83ff71e376dee0b

Observation b17ba25a-abc1-4cda-a956-2b1dbea77812 · outbound

This paper cites Scaling data-constrained language models.

Incentivizing Inclusive Contributions in Model Sharing Markets Scaling data-constrained language models

Reference 12

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Observation ed6b4d9e-aeb6-45e8-93ac-575cad2c27bd · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Incentivizing Inclusive Contributions in Model Sharing Markets BloombergGPT: A Large Language Model for Finance

Reference 13

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Observation 8da8c9e5-35f5-423a-968d-34acdfa0e8d0 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

Incentivizing Inclusive Contributions in Model Sharing Markets Towards Expert-Level Medical Question Answering with Large Language Models

Reference 14

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Observation 8eeaeab3-d557-4f09-be96-a88de1674ee8 · outbound

This paper cites How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Incentivizing Inclusive Contributions in Model Sharing Markets How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Reference 15

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Observation f5f3d814-556d-49ed-8332-75632552aa87 · outbound

This paper cites PointGPT: Auto-regressively Generative Pre-training from Point Clouds.

Incentivizing Inclusive Contributions in Model Sharing Markets PointGPT: Auto-regressively Generative Pre-training from Point Clouds

Reference 16

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Observation d189e7a3-d438-410b-8aee-fa0dd56eb8cf · outbound

This paper cites The eu general data protection regulation (gdpr).A Practical Guide, 1st Ed., Cham: Springer International Publishing, 10(3152676):10–5555, 2017.

Incentivizing Inclusive Contributions in Model Sharing Markets The eu general data protection regulation (gdpr).A Practical Guide, 1st Ed., Cham: Springer International Publishing, 10(3152676):10–5555, 2017

Reference 17

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Observation 4b972a8a-10b8-4215-8cc7-7fd1c6faa3b9 · outbound

This paper cites Advances and open problems in federated learning.

Incentivizing Inclusive Contributions in Model Sharing Markets Advances and open problems in federated learning

Reference 18

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Observation acccc6a2-9324-46c8-9edf-38749e849e5b · outbound

This paper cites Privacy in the age of medical big data.

Incentivizing Inclusive Contributions in Model Sharing Markets Privacy in the age of medical big data

Reference 19

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Observation 7ba78f5a-af0c-42b8-9c28-44b7296c6404 · outbound

This paper cites An exhaustive survey on security and privacy issues in healthcare 4.0.

Incentivizing Inclusive Contributions in Model Sharing Markets An exhaustive survey on security and privacy issues in healthcare 4.0

Reference 20

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Observation 859f7213-d098-46f0-9d94-0a1fdf0ec50d · outbound

This paper cites Improving information security behaviour in the healthcare context.

Incentivizing Inclusive Contributions in Model Sharing Markets Improving information security behaviour in the healthcare context

Reference 21

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source=pdf_text observed=2026-08-16T01:04:58.609469Z digest=sha256:506ab773cc4f9cd1605056f1c4ff05790db4a4a29b3c710ad09b1f7561f7571f

Observation 81ce71dc-96d2-453c-9808-f7a6ce954b34 · outbound

This paper cites Differentially private knowledge transfer for federated learning.

Incentivizing Inclusive Contributions in Model Sharing Markets Differentially private knowledge transfer for federated learning

Reference 22

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Observation 50f8a2a6-29dc-49f1-873a-43a89ae5beb7 · outbound

This paper cites End-to-end privacy preserving deep learning on multi-institutional medical imaging.

Incentivizing Inclusive Contributions in Model Sharing Markets End-to-end privacy preserving deep learning on multi-institutional medical imaging

Reference 23

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source=pdf_text observed=2026-08-16T01:04:58.616810Z digest=sha256:ef3dc0787886b52888480638af28898c4c0bcdfbd39659055682f13647265e18

Observation 33bd9aa5-a7e2-4b69-8aa9-c1562c177a15 · outbound

This paper cites Federated machine learning: Concept and applications.

Incentivizing Inclusive Contributions in Model Sharing Markets Federated machine learning: Concept and applications

Reference 24

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Observation ec53ad64-75bd-4da1-bbe4-bc857ee50ed5 · outbound

This paper cites Mechanisms that Incentivize Data Sharing in Federated Learning.

Incentivizing Inclusive Contributions in Model Sharing Markets Mechanisms that Incentivize Data Sharing in Federated Learning

Reference 25

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Observation cbffc092-1e90-416c-b8bc-0abd2331e0dd · outbound

This paper cites A federated graph neural network framework for privacy-preserving personalization.

Incentivizing Inclusive Contributions in Model Sharing Markets A federated graph neural network framework for privacy-preserving personalization

Reference 26

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Observation a43fe170-1191-4f66-8153-963f575178a2 · outbound

This paper cites Personalized federated learning with moreau envelopes.

Incentivizing Inclusive Contributions in Model Sharing Markets Personalized federated learning with moreau envelopes

Reference 27

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Observation b9699e38-eb0c-4788-9e18-80f1f5b2dbc4 · outbound

This paper cites Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach.

Incentivizing Inclusive Contributions in Model Sharing Markets Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach

Reference 28

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source=pdf_text observed=2026-08-16T01:04:58.635062Z digest=sha256:e7092f18d41eae9f25dfe9f955b06cb12482a7fdaed59228ac4d2f08998bb769

Observation a854491c-907e-422d-b18c-55ff58a10aac · outbound

This paper cites Personalized federated learning with inferred collaboration graphs.

Incentivizing Inclusive Contributions in Model Sharing Markets Personalized federated learning with inferred collaboration graphs

Reference 29

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Observation a3c9670a-9d57-482c-8e64-dcc08b4f77a5 · outbound

This paper cites Ditto: Fair and robust federated learning through personalization.

Incentivizing Inclusive Contributions in Model Sharing Markets Ditto: Fair and robust federated learning through personalization

Reference 30

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Observation 26eb3cfe-b6df-43fa-bd04-26a2214de7a9 · outbound

This paper cites Personalized cross-silo federated learning on non-iid data.

Incentivizing Inclusive Contributions in Model Sharing Markets Personalized cross-silo federated learning on non-iid data

Reference 31

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raw_fallback, observed 2026-08-16T01:04:59.098385Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7be35179-de29-407c-ac7d-5b009dd87285 · outbound

This paper cites Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints.

Incentivizing Inclusive Contributions in Model Sharing Markets Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints

Reference 32

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raw_fallback, observed 2026-08-16T01:04:59.087068Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.651739Z digest=sha256:d259f51cf51a49c7ff559db7b389738cc848475b9cd5dc84825338cf1425e7a5

Observation f5c2551e-3b91-4d3a-bbb6-f3f807fb3eeb · outbound

This paper cites Boosting geoscience data sharing in china.

Incentivizing Inclusive Contributions in Model Sharing Markets Boosting geoscience data sharing in china

Reference 33

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raw_fallback, observed 2026-08-16T01:04:59.076268Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.655233Z digest=sha256:13d1d27b80e116cddb0bae47ec432e99e53fd497da63c283dd3ef5ecf002d40e

Observation 20e82786-bd4f-4b3f-91af-31a58744f1c9 · outbound

This paper cites A learning-based incentive mechanism for federated learning.

Incentivizing Inclusive Contributions in Model Sharing Markets A learning-based incentive mechanism for federated learning

Reference 34

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raw_fallback, observed 2026-08-16T01:04:59.064768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.659171Z digest=sha256:477472ebc5dfc3ac2ed4c1edc68a28fea25976f96e8976064bd73c6e0a84f2e9

Observation 6e1d2320-8bb6-4376-b303-9e3d7c4f6e62 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Incentivizing Inclusive Contributions in Model Sharing Markets Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

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Observation f2c487eb-a7fa-4aff-98a4-aa4a160f7c61 · outbound

This paper cites Learning multiple layers of features from tiny images.

Incentivizing Inclusive Contributions in Model Sharing Markets Learning multiple layers of features from tiny images

Reference 36

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Observation 48229b28-16f3-44b3-ae1d-7828f552347e · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Incentivizing Inclusive Contributions in Model Sharing Markets Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:58.670271Z digest=sha256:f3572da543f46ad7dd4c34358a55fcd0958e1d6e4b35e62fd72fffeec0f33518

Observation 36209a76-4b81-47bb-b27b-f29c450cf6b1 · outbound

This paper cites Deeper, broader and artier domain generalization.

Incentivizing Inclusive Contributions in Model Sharing Markets Deeper, broader and artier domain generalization

Reference 38

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no resolver link, observed 2026-08-16T01:04:58.674558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:58.674558Z digest=sha256:febaf51e0e9f91805bc88503687b22691406d22c4f2b821fea89721ef18afcf4

Observation 60659635-7862-431b-8402-ef4acf54e941 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Incentivizing Inclusive Contributions in Model Sharing Markets LEAF: A Benchmark for Federated Settings

Reference 39

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no resolver link, observed 2026-08-16T01:04:58.678400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:58.678400Z digest=sha256:45c62a86d63f776ccc5bce11aab5bbcb83ab46248ee76100224fe033a1a551a4

Observation 5737e2bd-7379-461b-aefe-470843d0c73a · outbound

This paper cites Www’18 open challenge: Financial opinion mining and question answering.

Incentivizing Inclusive Contributions in Model Sharing Markets Www’18 open challenge: Financial opinion mining and question answering

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:59.039917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.682450Z digest=sha256:55183169efc9ee4dab1fe15e8b0303bc4e4a1bcf8a31637dc8a59cbc8474bc5e

Observation 28b37941-fcc3-4911-b831-8b7e5004904b · outbound

This paper cites Twitter financial news sentiment.

Incentivizing Inclusive Contributions in Model Sharing Markets Twitter financial news sentiment

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:59.028174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.687808Z digest=sha256:5b658c65d7cd7109bd86e439ef365288e630cec5e690d49c8c26c6f32567fb06

Observation ac550c0d-8d94-49b3-be40-d04a4788620d · outbound

This paper cites Data-centric fingpt.

Incentivizing Inclusive Contributions in Model Sharing Markets Data-centric fingpt

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:59.016740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.692126Z digest=sha256:867711876bd316473a30503b8b3d15abfc883b618fa32bfb93ed1a882746c864

Observation 5850dfcd-fb09-4d09-9bce-0bd73f56198d · outbound

This paper cites Code alpaca: An instruction-following llama model for code generation.

Incentivizing Inclusive Contributions in Model Sharing Markets Code alpaca: An instruction-following llama model for code generation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:59.005184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.695681Z digest=sha256:a868fa3c8f08e04befd5d075e71dd4833b5a161ad2840f37bd9a710f6f3f512f

Observation 0ce3ac62-7753-4c3a-98dc-90d6e2f66596 · outbound

This paper cites Communication- efficient learning of deep networks from decentralized data.

Incentivizing Inclusive Contributions in Model Sharing Markets Communication- efficient learning of deep networks from decentralized data

Reference 44

Resolution
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no resolver link, observed 2026-08-16T01:04:58.699434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:58.699434Z digest=sha256:6fd59ff30b91d97b215317464432c0cedb550389e625345f247d7d01a12e9b83

Observation aa7f897d-d036-4468-ad7a-7bfefb7540bd · outbound

This paper cites Federated optimization in heterogeneous networks.

Incentivizing Inclusive Contributions in Model Sharing Markets Federated optimization in heterogeneous networks

Reference 45

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no resolver link, observed 2026-08-16T01:04:58.703014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:58.703014Z digest=sha256:ebcfef70b662346bd7eac3e82c630e1162f1ea2305821df2f5177be4cae8beec

Observation 2d62b8dc-2f56-4b58-a6b5-737b41234fa7 · outbound

This paper cites Personalized Federated Learning with First Order Model Optimization.

Incentivizing Inclusive Contributions in Model Sharing Markets Personalized Federated Learning with First Order Model Optimization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:58.706854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:58.706854Z digest=sha256:d06395bb0a8ec33d41030f04a5b3eb99361dfc233eb28adb7802e3165d02d245

Observation 9adc215b-e941-4e1b-8d18-69437eab9b63 · outbound

This paper cites an unresolved cited work.

Incentivizing Inclusive Contributions in Model Sharing Markets Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:58.710705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:58.710705Z digest=sha256:b271ee5c7887a744badce6cc5bcc923cefb543e4bd39d785400105db35c471c4

Observation 14ed0ef8-3ef5-4bbb-9558-f556667dde03 · outbound

This paper cites Federated learning with matched averaging.

Incentivizing Inclusive Contributions in Model Sharing Markets Federated learning with matched averaging

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:58.974255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.714253Z digest=sha256:190bb4dd7510c16af4683b216f327e72c6cff6ad479d4dc8256e1c674dacba7f

Observation 5c5811cf-6a78-440b-8f2d-a291ce8ccbc7 · outbound

This paper cites Bayesian nonparametric federated learning of neural networks.

Incentivizing Inclusive Contributions in Model Sharing Markets Bayesian nonparametric federated learning of neural networks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:58.960253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.718380Z digest=sha256:cad23e7c9033fa6dc66f8bcf9873e7f6de7613b1b9b78ffb41edbbd63f9e426b

Observation fd58b477-0a70-46a0-827e-1594d6ab81f1 · outbound

This paper cites Federated learning based on dynamic regularization.

Incentivizing Inclusive Contributions in Model Sharing Markets Federated learning based on dynamic regularization

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:58.948909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.722126Z digest=sha256:d742a2aae72d8bc29660e4a696b38512484b6bb9cd167d84a0a9cb3d411a192e

Observation 90903d23-f200-4837-a69f-5e38fa43de50 · outbound

This paper cites Fake It Till Make It: Federated Learning with Consensus-Oriented Generation.

Incentivizing Inclusive Contributions in Model Sharing Markets Fake It Till Make It: Federated Learning with Consensus-Oriented Generation

Reference 51

Resolution
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no resolver link, observed 2026-08-16T01:04:58.726648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:58.726648Z digest=sha256:8b0305ae1a494fbe65981c96d456cc9f4ce22d2183f9d6bce3520a3e5386754a

Observation 3760e7c1-3a98-489a-885a-02b56a114a65 · outbound

This paper cites Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory.

Incentivizing Inclusive Contributions in Model Sharing Markets Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:58.937074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.730630Z digest=sha256:62178eb9b3154d3c6dccfa0060b364c4f52cc4b5329034a357e2e61270575f9d

Observation 155674d7-d66d-43cd-9512-f1ef46071cde · outbound

This paper cites A Comprehensive Survey of Incentive Mechanism for Federated Learning.

Incentivizing Inclusive Contributions in Model Sharing Markets A Comprehensive Survey of Incentive Mechanism for Federated Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:58.734679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:58.734679Z digest=sha256:35f48d9ea09590699b820f721d3ae220c327d998561548c78e275144d2c685be

Observation 25586659-52bd-49f1-966f-7a53a8477783 · outbound

This paper cites 13 A preprint - May 6, 2025.

Incentivizing Inclusive Contributions in Model Sharing Markets 13 A preprint - May 6, 2025

Reference 8831

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:59.231499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:58.558603Z digest=sha256:12381994e454a05155541736c9a1bbd4143bb9538e00f7dbee1f44a8e2646273

Pith citing papers

No inbound Pith citation observations are available.