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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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source=pdf_text observed=2026-08-16T01:04:58.543043Z digest=sha256:ae2e7fffc97ff0f5818e36b31ea0a010ad54262c79e0fb06a0de45fd9b30be46

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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source=pdf_text observed=2026-08-16T01:04:58.550995Z digest=sha256:2f92b073feb26df84ce6abecb06e0dd7dbb63c3c7f0baec9acccc30759d15ba0

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=sha256:98c7cfd9c755f0a001b43419cf5d909512b5a9972e84177948efc2f0c76ebc22

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=sha256:642688944917ef0feed170f3b98118fb9ef919156f11bccc56eaeada74ccfc85

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:bb299a42ed3e6057433a2559bfb1e7c31d1d58562b126f549a32a7dddb6d22d0

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=sha256:5e6df6748df32c1c9825181dc3821801b8be63f32de97ffc44f569c1b1f1e6c6

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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source=pdf_text observed=2026-08-16T01:04:58.575297Z digest=sha256:a6dd169254deb85ca2534c0ec8069ce2247ae7f406d0d7f514adb2e2fb8904b0

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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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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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=sha256:076ad50c56b72fa174a32df5394c4fc9d53b42bd8059b9a44256af0dae845281

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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source=pdf_text observed=2026-08-16T01:04:58.647321Z digest=sha256:4b897e50a96273a92ea323e70434806126bbc3bd9b69f109f49ab84a88c993a1

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=sha256:1f8708aad507553f0c142ac378283a953dbaaf067eb9383278ea77c4d747ee0c

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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source=pdf_text observed=2026-08-16T01:04:58.655233Z digest=sha256:1425f497c34fb6f7206af33fea6ee9753a71b775fc6f6652df600b142fd00a96

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

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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=2026-08-16T01:04:58.659171Z digest=sha256:b1df05a816cdd8d0f2f85949b5ac403f9a4e87325539f3b09160a03e70525b0a

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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source=pdf_text observed=2026-08-16T01:04:58.666521Z digest=sha256:ab7390a48d9a53588f83c3dd1cb6d5e656f3839b573d2f89687aac6cef185f0e

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:c816aa5a104f83cdeee06d9aee743ce85e3a8747966afe2ff478691723fae24b

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=sha256:01f185586fa932b76f122c6f52129cb448ed49afd9623b6abc0f86eeca4f1091

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:daec598f6a166e2411457453f2ec203eeae0f780747f2639017a33f4d36d6757

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:c4c0f2cceb8bc55641df240ae2136e0eb592466fb72a9c4a4dd6f5ff4d3c4135

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:e720c1c31d87bde03a1e67cc2616a1752f1ec310ab60b28f80eefaa6692c34d7

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:bf782bc61a555aee580d7d19b4d0c61f7fa370e1f51fbfa96480248f5c1368ad

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:b13bbcb8ea7b29e024ce60228bf1a51e25417cb176d0e517309a503b812e0ab8

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

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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:d191f07983efd2ce43292d9b59ecdcd239688e1e31011a372b6f46cb1c403aae

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=sha256:8df6ed6a04f7bbd9401d1da31c884ea0b31522753e3b2074489ea204b7e4ce30

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=sha256:1ee0cd1ed785581f99da03c60121e3c8fee4547b5d54e232e5ebeb575aac99e5

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:d99479a0196c12af44f1c2760c50718259136a94c2546816b5f1acc0c36cc8a5

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=sha256:5b01a78483f3ad6868fbebd3af5ef13a408149f9d7d5536daa678ab8f4051bee

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=sha256:43b957d0d2ee101864d45a4100ada7fe481dfc9877381953ea47eb529b192b21

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:a580edbd34cc398ab0411113e07fbc80b44bdf4240fc77555514e0e9e150305d

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
unresolved
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=sha256:1f747a85178b5327b09b8a1c47a3daa3d262b3d3970fc9ca39ab7ce9e557275f

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=sha256:4fdb90dc6a4cc687c694ea23e9d758e06ae388c62a6ea6ff417c3a181dba4dee

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=sha256:1609c9f0ed90c429bffbee3aa90112b60fd6343945f8229c7859457e202e6ed3

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=sha256:48988e55d13eadfd9811d7e6230e90588752dd501ce3c6c0fd676768331488d4

Pith citing papers

No inbound Pith citation observations are available.