Paper Citation Record · LEDGER

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.07529.

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

pith.paper-citation-record.v1
2607.07529 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T08:11:23.216344Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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verified fuzzy25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2149fc46-fd88-4942-9259-06950e22afc7 · outbound

This paper cites Advances and open problems in federated learning,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Advances and open problems in federated learning,

Reference 1

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Observation c9df269e-9835-4116-b485-9d0c4d8cead8 · outbound

This paper cites Federated learning incentive mechanism design via shapley value and pareto optimality,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Federated learning incentive mechanism design via shapley value and pareto optimality,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.940225Z

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Observation 232e392c-94a0-488c-ba5b-cc6f1332e017 · outbound

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

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Data shapley: Equitable valuation of data for machine learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:06.015276Z

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Observation 4fce9e01-2a9f-49b4-8903-c15af69138fb · outbound

This paper cites Efficient task-specific data valuation for nearest neighbor algorithms,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Efficient task-specific data valuation for nearest neighbor algorithms,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.968362Z

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Observation 02ec77c6-7fa6-495e-b430-448ea426193f · outbound

This paper cites Ten challenging problems in federated foundation models,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Ten challenging problems in federated foundation models,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.953378Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ec90cf84-aa8f-408d-a329-b41fe28c3ffd · outbound

This paper cites A value for n-person games,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation A value for n-person games,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:06.023406Z

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Observation 6210b32a-2ba3-4d3b-9e60-76262f976ecb · outbound

This paper cites Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentives.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentives

Reference 7

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd9a082d-14ce-4992-9dbb-e84b9d0d925d · outbound

This paper cites Fedave: Adaptive data value evaluation frame- work for collaborative fairness in federated learning,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Fedave: Adaptive data value evaluation frame- work for collaborative fairness in federated learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:06.009973Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 89be29fc-adf2-447a-b14c-20a4545f1d21 · outbound

This paper cites Incentive mecha- nism of foundation model enabled cross-silo federated learning,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Incentive mecha- nism of foundation model enabled cross-silo federated learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:06.020109Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d84ef20-ddff-4cd4-8c4a-28d36b1cc54c · outbound

This paper cites Counterspeculation, auctions, and competitive sealed tenders,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Counterspeculation, auctions, and competitive sealed tenders,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:06.026470Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8e09be5b-21b5-4e59-b18c-8b7fb52ff042 · outbound

This paper cites Multipart pricing of public goods,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Multipart pricing of public goods,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.994793Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 992ed1ad-0ead-420a-8730-67d3e1421bd9 · outbound

This paper cites Incentives in teams,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Incentives in teams,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:06.006015Z

Source-reported events for the cited work

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Observation 5afd109d-37fe-4849-88a4-ff5bdc277481 · outbound

This paper cites Eliciting informative feedback: The peer-prediction method,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Eliciting informative feedback: The peer-prediction method,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.944191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e558d15-b019-4ede-ac22-277aa5f8377c · outbound

This paper cites FL-Market: Trading Private Models in Federated Learning.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation FL-Market: Trading Private Models in Federated Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.748253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 166863ca-44e7-47a2-bfb3-54843479a406 · outbound

This paper cites Mitigating Sybils in Federated Learning Poisoning.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Mitigating Sybils in Federated Learning Poisoning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.689241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2c3af589-380a-4b25-a29f-bb9903d24347 · outbound

This paper cites Understanding black-box predictions via influence functions,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Understanding black-box predictions via influence functions,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.989682Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9eff0d5-1c00-4d83-b393-a9e553a90fcc · outbound

This paper cites Data valuation using reinforce- ment learning,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Data valuation using reinforce- ment learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.980891Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cc757919-9822-4108-bf47-aee26d2744b5 · outbound

This paper cites Beta shapley: A unified and noise-reduced data valuation framework for machine learning,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Beta shapley: A unified and noise-reduced data valuation framework for machine learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.985429Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

This paper cites Fair Document Valuation in LLM Summaries via Shapley Values.

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

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b67f6625-5289-433f-985a-49d45da525bd · outbound

This paper cites Data auctions for retrieval augmented generation,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Data auctions for retrieval augmented generation,

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-09T08:16:05.694388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e6871eb-0092-4bb1-9502-79a52bb0121f · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.972799Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 814b74af-d3ef-4593-a426-faf1543a9956 · outbound

This paper cites Lora: Low-rank adaptation of large language mod- els,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Lora: Low-rank adaptation of large language mod- els,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.976860Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dcc966ca-09d1-4f7c-91f1-3e5ce3ce18cd · outbound

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

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Training language models to follow instructions with human feedback,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.935523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e431fa01-4480-4c07-b68f-3ae6a9e2a930 · outbound

This paper cites Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T08:16:05.741642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c1252d23-5417-4857-b7a2-88db7385bc22 · outbound

This paper cites Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.708373Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b100f2cf-d859-4b2f-9011-0c19111bbb4f · outbound

This paper cites FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.703097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bdf73ec2-b8f9-4233-9a08-93a306d9aff6 · outbound

This paper cites LoRA-Fair: Federated LoRA fine-tuning with aggregation and initialization refinement.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation LoRA-Fair: Federated LoRA fine-tuning with aggregation and initialization refinement

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-09T08:16:05.725493Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 89368811-5a6c-41ed-890d-9fa294b71f70 · outbound

This paper cites FLoRA: Federated fine-tuning large language models with heterogeneous low-rank adaptations,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation FLoRA: Federated fine-tuning large language models with heterogeneous low-rank adaptations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.956827Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0466d020-5ac1-4405-8c31-974d21c0b58f · outbound

This paper cites arXiv preprint arXiv:2603.08058 , year=.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation arXiv preprint arXiv:2603.08058 , year=

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T08:16:05.670527Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a20d093e-9e4f-46c3-8b5a-b329a3e91a5d · outbound

This paper cites WinFLoRA: Incentivizing client-adaptive aggregation in feder- ated LoRA under privacy heterogeneity,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation WinFLoRA: Incentivizing client-adaptive aggregation in feder- ated LoRA under privacy heterogeneity,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.930228Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cc9198fe-49b5-4061-8337-774507d0a6a3 · outbound

This paper cites CoRAG: Collaborative retrieval-augmented generation,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation CoRAG: Collaborative retrieval-augmented generation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.964272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77dd794e-02fe-4ce4-b5c4-6b3475c0c4a7 · outbound

This paper cites Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T08:16:05.765349Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 07485b65-7f08-46af-bb73-21ae71613359 · outbound

This paper cites Data Measurements for Decentralized Data Markets.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Data Measurements for Decentralized Data Markets

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.768781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 751b1fe4-758d-4f76-bece-da1ebecbc196 · outbound

This paper cites Towards data valuation via asymmetric data shapley,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Towards data valuation via asymmetric data shapley,

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-09T08:16:05.761388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1387c366-453b-4fb1-ad56-dde1c67d2e21 · outbound

This paper cites Rethinking data value: Asymmetric data shapley for structure-aware valuation in data markets and machine learning pipelines,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Rethinking data value: Asymmetric data shapley for structure-aware valuation in data markets and machine learning pipelines,

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-09T08:16:05.681454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3a67199-c77c-4153-a84b-d86aab02ea3a · outbound

This paper cites Precedence-Constrained Winter Value for Effective Graph Data Valuation.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Precedence-Constrained Winter Value for Effective Graph Data Valuation

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.685688Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea7580b9-b21f-4b8a-b8fa-1c695346f1b7 · outbound

This paper cites Owen sam- pling accelerates contribution estimation in federated learning,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Owen sam- pling accelerates contribution estimation in federated learning,

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-09T08:16:05.720421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bddb2bdd-85b4-4eae-9e42-23b8bb37d8c1 · outbound

This paper cites Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.698302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c164b0aa-2143-4dd3-bda0-04f4c37fa1ec · outbound

This paper cites C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.755100Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d32c65b-edbc-48f9-a6e4-d04664feba79 · outbound

This paper cites Fweb3: A practical incentive-aware federated learning framework,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Fweb3: A practical incentive-aware federated learning framework,

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-09T08:16:05.736024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9fad2d5a-e419-4677-906d-4f7db90228e5 · outbound

This paper cites The Shapley value for cooperative games under precedence constraints,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation The Shapley value for cooperative games under precedence constraints,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.948805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a3a65df-cddb-41f4-8428-65f4f9264eac · outbound

This paper cites Values of games with a priori unions,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Values of games with a priori unions,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.926093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03d85fa0-3987-4fc3-9def-d5e4b3c51ae7 · outbound

This paper cites Concentrated differential privacy: Simpli- fications, extensions, and lower bounds,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Concentrated differential privacy: Simpli- fications, extensions, and lower bounds,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.998584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c189975c-c4e5-46b6-befa-3837fe579d8b · outbound

This paper cites R ´enyi differential privacy,.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation R ´enyi differential privacy,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T08:16:05.960241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.