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Paper Citation Record · LEDGER

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis

As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2606.00005.

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

pith.paper-citation-record.v1
2606.00005 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T17:56:39.720418Z

measured 12 of 12 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 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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved11
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d243655e-8e60-4945-8684-8c7705838e45 · outbound

This paper cites an unresolved cited work.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:66ec041404dd952101fd1b451c80f75835c9148776097b3082785b1f1e7bc89f

Observation a2ccfd2b-6502-4400-9d0a-2d42449f3549 · outbound

This paper cites MaxMin-RLHF: Alignment with Diverse Human Preferences.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis MaxMin-RLHF: Alignment with Diverse Human Preferences

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:c53764d0d0de1f527c8dff084742c13e8ec772308d67d9dbfb77d8a0d2de5693

Observation 1869825f-dfd1-4efb-8260-fe495e427058 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:70886a23be2d4f7ac159659db5669859e129ebe9c5ecea765b67866a000e2924

Observation 882a3157-f21a-4e9e-a5cf-b87d2c1fcdfc · outbound

This paper cites Alignment faking in large language models.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Alignment faking in large language models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:96b788fed58024ef7f81d0eb2bf704ce2eb9f46ae12a0fc96d23bb9d252a3456

Observation a19ca39c-4588-478b-b056-f639635aae6d · outbound

This paper cites Debating with More Persuasive LLMs Leads to More Truthful Answers.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Debating with More Persuasive LLMs Leads to More Truthful Answers

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:33a51dc681cb638e46cc4bb412da27b98b6230cab819b045f7456b8a5bac94aa

Observation dc999ee8-daf5-44e8-b90e-f9882bc79575 · outbound

This paper cites Understanding the Effects of RLHF on LLM Generalisation and Diversity.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Understanding the Effects of RLHF on LLM Generalisation and Diversity

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:ecd21dafa761db9595f292f93f9ac1c4f9d1da66658f328c1df028bfa3569038

Observation 1fe1e6c3-4131-49be-a26f-f72d42d97793 · outbound

This paper cites an unresolved cited work.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:3a17c5b19c63905f372ae2589e13cdd36e8a2bad6fdd000f08bef1c4f445ee9c

Observation e2636489-93cd-489d-9be1-8a471c982b76 · outbound

This paper cites Whose Opinions Do Language Models Reflect?.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Whose Opinions Do Language Models Reflect?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:b622c76ea7d962491602448c5a89aaaabdbda7326c3381bc786cbf922f10e1ff

Observation 75df786a-e160-40c6-b167-9dd4082c93e5 · outbound

This paper cites Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:956d6566b715b817a953090eede07c20c8dbb71eff6531338b13661c3312a2fe

Observation da74cf5a-b082-4846-9dfd-b85ed6ea6794 · outbound

This paper cites Xie, J., et al.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Xie, J., et al

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:0f44b61db9c98f2f7579d9a2947ebb4c7d53d83cfcb99a5d6baab1413c8ceb30

Observation 18d06b29-b17b-4200-9d58-0bdbe43e2800 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:d8f344db64d680fcf3a9cb39f896ba903a56747b99ef15a154373a4c4c6b3601

Observation d59c2a0a-d445-4d6f-a69d-426fde30cc9b · outbound

This paper cites an unresolved cited work.

Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Unresolved cited work

Reference 12

Resolution
parse uncertain
no resolver link, observed 2026-07-13T17:56:39.720418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:56:39.720418Z digest=sha256:be995849eefc5cc80806958f545122dd352461a3322290a326bf930a68052916

Pith citing papers

No inbound Pith citation observations are available.