Pith. sign in

Paper Citation Record · LEDGER

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 5 inbound Pith citation observations for arXiv:2505.03196.

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

pith.paper-citation-record.v1
2505.03196 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:01:34.754552Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:14.709009Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:00:55.001473Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28b24222-f7e1-43d5-8c85-b1d942bf20f3 · outbound

This paper cites Federated large language model: Solutions, challenges and future directions,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Federated large language model: Solutions, challenges and future directions,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.947002Z

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.

source=pdf_text observed=2026-08-16T00:01:34.694729Z digest=sha256:b0afd96fed1aa4d9dff7dd3cd4574bb8bbf35c97a3c42adf0b4b351568d8f14d

Observation 015f7738-972c-4a5a-b433-2f5e1bff7e8d · outbound

This paper cites Large models for aerial edges: An edge-cloud model evolution and communication paradigm,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Large models for aerial edges: An edge-cloud model evolution and communication paradigm,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.934418Z

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.

source=pdf_text observed=2026-08-16T00:01:34.699139Z digest=sha256:bc6231cffe97643855f241debc362e25075f6f2415edcef915636c8e9807a64a

Observation d322a263-eae8-4197-94a0-76550e16b1f4 · outbound

This paper cites Generative AI for low-carbon artificial intelligence of things with large language models,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Generative AI for low-carbon artificial intelligence of things with large language models,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.922470Z

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.

source=pdf_text observed=2026-08-16T00:01:34.703092Z digest=sha256:522693f3a04b8a29bb76e16b25fa022c2f78e1ad9e72c01876590430c6f4b65d

Observation 952de62a-91b7-4802-905b-e37baa7476f3 · outbound

This paper cites Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T00:01:34.706989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:01:34.706989Z digest=sha256:2179731d93f62af8c4a507bc775a2acdff9d1c746ffa53a00a2c9618bc6d3b14

Observation ccdb2dc0-e8ac-47e5-be8d-08c4f5e7216d · outbound

This paper cites Performance analysis on the applications of large language models: A case for elderly care,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Performance analysis on the applications of large language models: A case for elderly care,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.911131Z

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.

source=pdf_text observed=2026-08-16T00:01:34.710980Z digest=sha256:7ea222da62e6507b4583d0ed02d8e82a9dc6e7322d10444866b8d82b27493d2e

Observation ce58ee5b-b5d9-470f-aba7-91ce62b27315 · outbound

This paper cites A Scalable Communication Protocol for Networks of Large Language Models.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case A Scalable Communication Protocol for Networks of Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T00:01:34.715241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:01:34.715241Z digest=sha256:da1a7124d0647b7ca3aea25d5555f33f672537e511ff4d979477da26b8db422d

Observation ca8e1a70-1ac7-4fd5-b812-80e54d3de6a7 · outbound

This paper cites WormGPT: A large language model chatbot for criminals,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case WormGPT: A large language model chatbot for criminals,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.896476Z

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.

source=pdf_text observed=2026-08-16T00:01:34.719453Z digest=sha256:3e46940a4b0db09e110baab1d4f4dd6809db54e7ccf602b64aa778737a6d454a

Observation 6ed997c3-6335-4dcc-a21e-c590a5eb7b56 · outbound

This paper cites A Multi-LLM Debiasing Framework.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case A Multi-LLM Debiasing Framework

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T00:01:34.723390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:01:34.723390Z digest=sha256:abded512d5f689d9255b3f0cf42b7d66e37948e28587e56dd704754b07401a06

Observation c7571bb4-f558-43d6-8752-a1b70a016ef5 · outbound

This paper cites Blockchain-empowered lifecycle management for AI- generated content products in edge networks,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Blockchain-empowered lifecycle management for AI- generated content products in edge networks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.884922Z

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.

source=pdf_text observed=2026-08-16T00:01:34.727716Z digest=sha256:448f54fdb9d79d05bfc712b6df765507679eae526970d3f4024eb7465cc6db4b

Observation 2a81d941-623e-4023-8762-13a52e7800f1 · outbound

This paper cites BC4LLM: A perspective of trusted artificial intelligence when blockchain meets large language models,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case BC4LLM: A perspective of trusted artificial intelligence when blockchain meets large language models,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T00:01:34.731981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:01:34.731981Z digest=sha256:16df490a8c9d621581bc88d7fab25b5110a9b5bb0e5fdb9c617d2a579fbe7e54

Observation 2eff2d6c-1f38-437a-be8e-14bbb84d5b1c · outbound

This paper cites Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T00:01:34.736381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:01:34.736381Z digest=sha256:07f3e0a98c2a668e2c08a7a816d7c2e4aa6635e7b08011f4500f7be3fa3e02a9

Observation 7deb9ab2-5651-4c18-827b-02a544fc24d0 · outbound

This paper cites Large language models as evolutionary optimizers,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Large language models as evolutionary optimizers,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.865999Z

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.

source=pdf_text observed=2026-08-16T00:01:34.740801Z digest=sha256:73d251c460f4bf2e2c5658ff0f9ccc0bf814940ebacf2743ca5d6f751c034dd2

Observation 9a782b9c-6614-49af-8fad-03beb25cd457 · outbound

This paper cites Generative AI agents with large language model for satellite networks via a mixture of experts transmission,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Generative AI agents with large language model for satellite networks via a mixture of experts transmission,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.854071Z

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.

source=pdf_text observed=2026-08-16T00:01:34.745329Z digest=sha256:e46de8aa88584df4edecfefdb4a8fc88323bfa3d633e911a8d885760aff9c21b

Observation 37870d2b-b533-408c-a9ba-545eb465ee6f · outbound

This paper cites Protecting system information from false base station attacks: A blockchain-based approach,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Protecting system information from false base station attacks: A blockchain-based approach,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.841621Z

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.

source=pdf_text observed=2026-08-16T00:01:34.750432Z digest=sha256:b4dc92cdfb7b15c8b0b8474d5db762318f03aad038baa161a5180f71734ef9d6

Observation e2cbab3d-505f-4647-9416-0a5cdabe7b1b · outbound

This paper cites Symbiotic blockchain consensus: Cognitive backscatter communications-enabled wireless blockchain consensus,.

A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case Symbiotic blockchain consensus: Cognitive backscatter communications-enabled wireless blockchain consensus,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:34.829834Z

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.

source=pdf_text observed=2026-08-16T00:01:34.754552Z digest=sha256:70f714ce6a3881abe136f27d41e801a48dc5604647b8e3c1c3519269552058d4

Pith citing papers

Observation f352bd03-71e4-4c75-8f9d-68e1b66e91ab · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:14.709009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:14.709009Z digest=sha256:43a55cf9f74faa897f5b3abdcfaf5b06dc687888ad467a521698d610c3b49694

Observation 40ac3293-61dd-466f-b8d3-b89abf50ad67 · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case

Reference 270

Resolution
unresolved
no resolver link, observed 2026-08-05T16:21:00.622086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:21:00.622086Z digest=sha256:027d2b9d3b566ce1661db7394c757fe7878f261924fc7e7f13aafc29ee9b7d71

Observation 738d469f-89db-4b52-a9ec-acfa2aef1c9e · inbound

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case

Reference 136

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.766872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.766872Z digest=sha256:fa00ebecc3176ddd57de43d396dbbfd0a786f64c83c9d0a1f3f84c571bd9f006

Observation 28ec57e0-d017-48cd-ab08-42121f93f7e4 · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:25.658423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:25.658423Z digest=sha256:d3ea3552f6d46b3d6d32d584301822f60a29c397fc1f1c036ffbb85a8864c0ab

Observation f46a7c31-1f19-40fa-92a7-cd1349a834ed · inbound

Generative Intent Prediction Agentic AI empowered Edge Service Function Chain Orchestration cites this paper.

Generative Intent Prediction Agentic AI empowered Edge Service Function Chain Orchestration A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:00:55.003467Z

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.

source=pdf_text observed=2026-05-16T12:58:09.641156Z digest=sha256:aa59c2621314ee8985a25938128869d2a914213c61079455515fb05248fb228a