Paper Citation Record · LEDGER

Position: agentic AI orchestration should be Bayes-consistent

As of 6 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2605.00742.

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

pith.paper-citation-record.v1
2605.00742 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T19:28:46.255220Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:12:15.589337Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:12:15.870632Z

Reference resolution

19 of 19 outbound references displayed

verified exact13
verified fuzzy2
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b63404f1-443e-4c51-ba37-ed83921f89e0 · outbound

This paper cites The Bayesian Geometry of Transformer Attention.

Position: agentic AI orchestration should be Bayes-consistent The Bayesian Geometry of Transformer Attention

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:03:00.842588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd00aad8-562d-4e14-b7e7-a4e0ccd4ba58 · outbound

This paper cites Bayesian orchestration of multi-LLM agents for cost-aware sequential decision-making.arXiv preprint arXiv:2601.01522.

Position: agentic AI orchestration should be Bayes-consistent Bayesian orchestration of multi-LLM agents for cost-aware sequential decision-making.arXiv preprint arXiv:2601.01522

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:41:27.740248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d8e68292-a18a-41d4-9951-3fcf6fb27a65 · outbound

This paper cites Scalable Second Order Optimization for Deep Learning.

Position: agentic AI orchestration should be Bayes-consistent Scalable Second Order Optimization for Deep Learning

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:41:27.681375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 19eda72f-98ad-4dd7-b932-2e580c32ba9a · outbound

This paper cites BASIL: Bayesian Assessment of Sycophancy in LLMs.

Position: agentic AI orchestration should be Bayes-consistent BASIL: Bayesian Assessment of Sycophancy in LLMs

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:41:25.944525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6eadceda-2b29-4459-81d0-181565de978f · outbound

This paper cites N., Belém, C.

Position: agentic AI orchestration should be Bayes-consistent N., Belém, C

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:41:27.151861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e4886d6-36ab-406d-954f-19900ca47734 · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

Position: agentic AI orchestration should be Bayes-consistent LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:23:00.385834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6574df3a-17b0-4886-ae0f-f72a2524f9ea · outbound

This paper cites LLMs are Bayesian, In Expectation, Not in Realization.

Position: agentic AI orchestration should be Bayes-consistent LLMs are Bayesian, In Expectation, Not in Realization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-24T02:14:21.133500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e66a182c-ee4d-42af-99b9-ae8e809e7ed4 · outbound

This paper cites World Models.

Position: agentic AI orchestration should be Bayes-consistent World Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:41:25.738363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 115dc5d3-470e-4e38-885c-da4a74c6b7a8 · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

Position: agentic AI orchestration should be Bayes-consistent AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T03:58:46.173677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 233f20f6-e661-41cd-a782-4d47aacb192e · outbound

This paper cites Kaddour, J., Patel, S., Dovonon, G., Richter, L., Minervini, P., and Kusner, M.

Position: agentic AI orchestration should be Bayes-consistent Kaddour, J., Patel, S., Dovonon, G., Richter, L., Minervini, P., and Kusner, M

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:41:26.256764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e08cc517-cb01-4265-b937-d533412bb218 · outbound

This paper cites Reasoning with Sampling: Your Base Model is Smarter Than You Think.

Position: agentic AI orchestration should be Bayes-consistent Reasoning with Sampling: Your Base Model is Smarter Than You Think

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:16:05.617665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 38b806d7-ff31-4a13-bb6a-952d3d9ead9a · outbound

This paper cites arXiv preprint arXiv:2506.14262 , year=.

Position: agentic AI orchestration should be Bayes-consistent arXiv preprint arXiv:2506.14262 , year=

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:41:26.552134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ae694ec9-1259-4900-8502-ed5ff3fb062f · outbound

This paper cites OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices.

Position: agentic AI orchestration should be Bayes-consistent OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:48:13.602326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7936eb94-7e51-4618-a8b6-9c2d8335c306 · outbound

This paper cites Meta-learning of Sequential Strategies.

Position: agentic AI orchestration should be Bayes-consistent Meta-learning of Sequential Strategies

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:41:26.860934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a852ad8a-c3a0-47c1-8570-480e31960091 · outbound

This paper cites Structured Uncertainty guided Clarification for LLM Agents.

Position: agentic AI orchestration should be Bayes-consistent Structured Uncertainty guided Clarification for LLM Agents

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:41:26.998363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ce3a0e35-cc8b-4d07-a206-b550c7aea0e1 · outbound

This paper cites cold posterior.

Position: agentic AI orchestration should be Bayes-consistent cold posterior

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T21:26:15.043951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3dc786e-dfe0-40e4-9a4b-d01e7d8d7a04 · outbound

This paper cites an unresolved cited work.

Position: agentic AI orchestration should be Bayes-consistent Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-25T21:26:15.039082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 337c148e-96fa-4322-8981-b2e26b680fa1 · outbound

This paper cites an unresolved cited work.

Position: agentic AI orchestration should be Bayes-consistent Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-25T21:26:15.046106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 64cfa792-d7fd-4fd2-bf44-e5268bf96938 · outbound

This paper cites lower-dimensional.

Position: agentic AI orchestration should be Bayes-consistent lower-dimensional

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T21:26:15.041790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation f880bebd-0cb2-4278-8531-133187270bcd · inbound

When Policies Change Probabilities: Modular Decision-Making for LLM Code Review cites this paper.

When Policies Change Probabilities: Modular Decision-Making for LLM Code Review Position: agentic AI orchestration should be Bayes-consistent

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:12:15.874450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.