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Paper Citation Record · LEDGER

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration

As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2412.13551.

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

pith.paper-citation-record.v1
2412.13551 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:04:54.401311Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:19:24.615269Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T23:19:24.837067Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact2
  • verified fuzzy15
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d52768c8-8630-4cc7-b8cc-8e3e2556aaae · outbound

This paper cites Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects,

Reference 1

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raw_fallback, observed 2026-08-11T13:04:54.883548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3ab10a6b-22dd-4e3d-bd97-1bff56c19d64 · outbound

This paper cites Fedrecovery: Differentially private machine unlearning for federated learning frame- works,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Fedrecovery: Differentially private machine unlearning for federated learning frame- works,

Reference 2

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Observation 64ea7171-e869-4677-a045-95a022fdb0b6 · outbound

This paper cites A comprehensive survey on edge data integrity verification: Fundamentals and future trends,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration A comprehensive survey on edge data integrity verification: Fundamentals and future trends,

Reference 3

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verified exact
doi, observed 2026-08-11T13:04:54.448932Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d253e979-2526-461d-95ca-48e224975876 · outbound

This paper cites Federatedtrust: A solution for trustworthy federated learning,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Federatedtrust: A solution for trustworthy federated learning,

Reference 4

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raw_fallback, observed 2026-08-11T13:04:54.858846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:04:54.263015Z digest=sha256:e8aa9af634bae6e280f9d7c440522e588fa1496442e9276f8adce13b6f3e43e4

Observation b4df5cd8-6b8c-4512-b85d-dd62a1653467 · outbound

This paper cites Deep learning based attack detection for cyber-physical system cybersecurity: A survey,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Deep learning based attack detection for cyber-physical system cybersecurity: A survey,

Reference 5

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raw_fallback, observed 2026-08-11T13:04:54.844031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:04:54.267873Z digest=sha256:4c1aed7f5d04fd0d3c9e87d9d9e1e55d4d1ebf8bf939085f293af3eab1d45524

Observation 1890af7f-4bac-480a-b568-495d084ab007 · outbound

This paper cites The security of using large language models - a survey with emphasis on chatgpt,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration The security of using large language models - a survey with emphasis on chatgpt,

Reference 6

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raw_fallback, observed 2026-08-11T13:04:54.828773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9c9bfde3-0b86-4561-9393-6c91408f1acd · outbound

This paper cites General data protection regulation (gdpr),.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration General data protection regulation (gdpr),

Reference 7

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raw_fallback, observed 2026-08-11T13:04:54.813479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d64264d0-30a3-4e85-8f3e-be9b2c321a4b · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T13:04:54.282804Z digest=sha256:4fa5cee171a7d5e82196ca5bab214025676f0f9f24d60e347251022158c109d6

Observation a6bab1f1-4c71-4e4f-a2fb-fccf385aa569 · outbound

This paper cites Blockchain-enabled federated learning: A survey,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Blockchain-enabled federated learning: A survey,

Reference 9

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source=pdf_text observed=2026-08-11T13:04:54.287625Z digest=sha256:e01276e6ced1c492e60b5032c1e38a3c3e986178746bf350192e43f845f43d21

Observation 5fc7aab7-9de7-47dd-9cd0-3106152a447a · outbound

This paper cites Fedtwin: Blockchain- enabled adaptive asynchronous federated learning for digital twin net- works,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Fedtwin: Blockchain- enabled adaptive asynchronous federated learning for digital twin net- works,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9ffd0990-5bd5-42cd-b360-3e16666b8bc8 · outbound

This paper cites A Federated Framework for LLM-based Recommendation.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration A Federated Framework for LLM-based Recommendation

Reference 11

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Observation 8cf2775a-ede1-4d77-841b-41c83c501cb1 · outbound

This paper cites Fedbiot: Llm local fine-tuning in federated learning without full model,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Fedbiot: Llm local fine-tuning in federated learning without full model,

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:04:54.302350Z digest=sha256:ce3881ef19ebba6696b8226bd3a10ba09820cf450188296a0b3226833ded3c34

Observation ae5cebae-4b4c-44ef-b8fd-acc0fa2168c1 · outbound

This paper cites Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning,

Reference 13

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Observation d940afcf-6f99-49d6-af59-bff01d3942fc · outbound

This paper cites Openfedllm: Training large language models on decentralized private data via federated learning,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Openfedllm: Training large language models on decentralized private data via federated learning,

Reference 14

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source=pdf_text observed=2026-08-11T13:04:54.311221Z digest=sha256:197f09570d72222d6ce8ebb720b4c4b1304f0eee4d49e7129a19a86a2bb7749e

Observation c0943ede-d588-4187-9e06-63a66bf79eba · outbound

This paper cites Towards Safer Large Language Models through Machine Unlearning.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Towards Safer Large Language Models through Machine Unlearning

Reference 15

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source=pdf_text observed=2026-08-11T13:04:54.316423Z digest=sha256:8a9ea92c61653e81e66a8fd32ba64d7ae67148d0602d184b25a7df25f5d6da8a

Observation d1d9952b-3f86-45e9-9941-eb246af3efd0 · outbound

This paper cites Unlearn What You Want to Forget: Efficient Unlearning for LLMs.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 16

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source=pdf_text observed=2026-08-11T13:04:54.322090Z digest=sha256:75d4733c4331a6a087e9557f27d4f0eb8dc9f335eafe808756699aa27d044307

Observation 7e7da021-3f3b-4126-a57d-64deb3b761dd · outbound

This paper cites Large Language Model Unlearning.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Large Language Model Unlearning

Reference 17

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Observation 02bcdfbe-d3dd-415a-93ca-b4ca2a551172 · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration TOFU: A Task of Fictitious Unlearning for LLMs

Reference 18

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Observation 2483a2f8-9ff5-4860-b165-ccfc68472ffd · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Who's Harry Potter? Approximate Unlearning in LLMs

Reference 19

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Observation 2ef41b83-73a3-40ea-bd8a-e5ac5ed2bb94 · outbound

This paper cites BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models

Reference 20

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source=pdf_text observed=2026-08-11T13:04:54.341915Z digest=sha256:b158693c65fce3d225ea7d499db6a15b9fffec391e26a7ee15d5eb8d1ab2fe46

Observation 75dba9bc-58ee-436b-9c81-79061414e0f5 · outbound

This paper cites Dynamic Large Language Models on Blockchains.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Dynamic Large Language Models on Blockchains

Reference 21

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local_arxiv, observed 2026-08-11T13:04:54.484159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 683bbaf8-8562-4673-8528-7313dc763658 · outbound

This paper cites Blockchain-enabled Trustworthy Federated Unlearning.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Blockchain-enabled Trustworthy Federated Unlearning

Reference 22

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Observation 2d58091f-c68c-4ee5-b0e1-9dbe077eeebc · outbound

This paper cites Assessing how large language models can be integrated with or used for blockchain technology: Overview and illustrative case study,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Assessing how large language models can be integrated with or used for blockchain technology: Overview and illustrative case study,

Reference 23

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raw_fallback, observed 2026-08-11T13:04:54.754132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b1003aa0-f620-4024-9fbe-66327403b3f4 · outbound

This paper cites Blockchain-based proof- of-authenticity frameworks for explainable ai,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Blockchain-based proof- of-authenticity frameworks for explainable ai,

Reference 24

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raw_fallback, observed 2026-08-11T13:04:54.739086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 44e39628-7658-4e09-b5bf-1163762a8525 · outbound

This paper cites Privacyeafl: Privacy- enhanced aggregation for federated learning in mobile crowdsensing,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Privacyeafl: Privacy- enhanced aggregation for federated learning in mobile crowdsensing,

Reference 25

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raw_fallback, observed 2026-08-11T13:04:54.724666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 88ff9d62-6e61-4935-b427-1f2d727edf23 · outbound

This paper cites Relac: Revocable and lightweight access control with blockchain for smart consumer electronics,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Relac: Revocable and lightweight access control with blockchain for smart consumer electronics,

Reference 26

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raw_fallback, observed 2026-08-11T13:04:54.709565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 24c014eb-4576-4e55-b32e-38118bc6d17a · outbound

This paper cites Blockchain-based data integrity verification scheme in aiot cloud–edge computing environment,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Blockchain-based data integrity verification scheme in aiot cloud–edge computing environment,

Reference 27

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raw_fallback, observed 2026-08-11T13:04:54.694369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:04:54.374110Z digest=sha256:26f61f4458134bf043f31cb70230468a6771b573903a367796d1617981b8ae81

Observation c939b61b-24d3-44ff-9f99-588f3af191a9 · outbound

This paper cites Wooldridge, An introduction to multiagent systems.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Wooldridge, An introduction to multiagent systems

Reference 28

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source=pdf_text observed=2026-08-11T13:04:54.378733Z digest=sha256:47ca10a40591b463777d7caef2af22965f8e8485a0ce73a3583769be0a30f2fd

Observation df17e81c-f69d-4370-bd00-e91099e77db9 · outbound

This paper cites Q-learning,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Q-learning,

Reference 29

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Observation 20480b53-3ba2-4825-9b8a-096a3d579a4e · outbound

This paper cites Fedloc: Federated learning framework for data-driven cooperative localization and location data processing,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Fedloc: Federated learning framework for data-driven cooperative localization and location data processing,

Reference 30

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raw_fallback, observed 2026-08-11T13:04:54.660582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 635ad672-d994-407a-987b-9e0a3861b34b · outbound

This paper cites Blockchain mutability: Challenges and proposed solutions,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Blockchain mutability: Challenges and proposed solutions,

Reference 31

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raw_fallback, observed 2026-08-11T13:04:54.645586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:04:54.392458Z digest=sha256:fa83369239ac66ad3a8229714a4f34b1100dd38f213a6c4044efd15ecbecbac5

Observation 96874d0a-0bf7-4589-9349-903deb67d31d · outbound

This paper cites Distributed hybrid double-spending attack prevention mechanism for proof-of-work and proof-of-stake blockchain consensuses,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Distributed hybrid double-spending attack prevention mechanism for proof-of-work and proof-of-stake blockchain consensuses,

Reference 32

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raw_fallback, observed 2026-08-11T13:04:54.630494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:04:54.396860Z digest=sha256:97ab623f5777969db270c9794dfce46af01ad0fd68903921d2ded7d8c4d48332

Observation 5a51c6a1-1acb-416e-8a3f-e5321ac0835f · outbound

This paper cites zk-authfeed: Protecting data feed to smart contracts with authenticated zero knowledge proof,.

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration zk-authfeed: Protecting data feed to smart contracts with authenticated zero knowledge proof,

Reference 33

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raw_fallback, observed 2026-08-11T13:04:54.615493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T13:04:54.401311Z digest=sha256:4e14dc6a56262bf7ba1c5f948996889f384d5a84100ce254eab772d22222dfd5

Pith citing papers

Observation 8a42e1a3-7166-437c-9072-ca448337156a · inbound

A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network cites this paper.

A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration

Reference 20

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local_arxiv, observed 2026-08-15T23:19:24.845743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T23:19:24.615269Z digest=sha256:b0429c959ff302c8980e9365453b157e91b9b3b1cc2d78a78d932c3cd55416a5