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Paper Citation Record · LEDGER

Conversational Orchestration for Organic 6G

As of 16 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.10714.

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

pith.paper-citation-record.v1
2608.10714 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:51:39.920933Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59140275-bf4f-41d3-a893-3dcd78fc4615 · outbound

This paper cites Organic 6G Networks: Vision, Requirements, and Research Approaches,.

Conversational Orchestration for Organic 6G Organic 6G Networks: Vision, Requirements, and Research Approaches,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:51:40.379615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.832485Z digest=sha256:7cc285e1e82f7f2e10c6d6871d5617eb783b1da828069ce4f20132e1e9fab849

Observation 39fa9bbb-6caa-4f87-9af4-207ae80a5bf1 · outbound

This paper cites Future Open Networks Cross- Domain Cognitive Orchestration: A Novel Design Paradigm,.

Conversational Orchestration for Organic 6G Future Open Networks Cross- Domain Cognitive Orchestration: A Novel Design Paradigm,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:51:40.360492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.838600Z digest=sha256:efc30e21a2e993cac6a7d3772c3d897cd9eece57fbebd77171255bd434a28ea5

Observation bad0531c-5254-44cd-b8c1-804c320a6096 · outbound

This paper cites Horizon Europe Call for Advanced Architectures Systems and Technologies,.

Conversational Orchestration for Organic 6G Horizon Europe Call for Advanced Architectures Systems and Technologies,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:51:40.339865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.844432Z digest=sha256:c1d542ecea488fdf6b661ccd961ee0875559a326d8dd7690a9fc5939e928f2bf

Observation d3e5acf9-4423-4ff2-800d-a48fb1f69efd · outbound

This paper cites ACROSS: Automated zero-touch cross-layer provisioning framework for 5G and beyond vertical services,.

Conversational Orchestration for Organic 6G ACROSS: Automated zero-touch cross-layer provisioning framework for 5G and beyond vertical services,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:51:40.321044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.853500Z digest=sha256:0a1465c2e0683c68e2db7a8115f9ddb4a1fda0fec8e79823399fd285d63ff86b

Observation 310e0dbd-ad4b-4f01-b6f6-3530eb8d201c · outbound

This paper cites AIORA: An AI-Native Multi- Stakeholder Orchestration Architecture for 6G Continuum,.

Conversational Orchestration for Organic 6G AIORA: An AI-Native Multi- Stakeholder Orchestration Architecture for 6G Continuum,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:51:40.302096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.860878Z digest=sha256:adc6ed6e983491619255edb51659134a149cb376bf5c7ad3977a81baa7431ed4

Observation d71ec778-3971-4eb6-9ef7-efe89d00625f · outbound

This paper cites Cloud-Native Orches- tration Framework for Network Slice Federation Across Administrative Domains in 5G/6G Mobile Networks,.

Conversational Orchestration for Organic 6G Cloud-Native Orches- tration Framework for Network Slice Federation Across Administrative Domains in 5G/6G Mobile Networks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:51:40.281495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.867176Z digest=sha256:d8b9aa8ab4840d61c454b75fab8b87d933f0a8176bdf05dfcf5ba757b0d918b9

Observation 85a0a2fe-461e-404b-8e2e-7bdcb60c5689 · outbound

This paper cites E2E Network Slicing for Enhanced Cybersecurity, Orchestration, Au- tomation and Response in 5G/6G: The RIGOUROUS Approach,.

Conversational Orchestration for Organic 6G E2E Network Slicing for Enhanced Cybersecurity, Orchestration, Au- tomation and Response in 5G/6G: The RIGOUROUS Approach,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:51:40.263583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.874158Z digest=sha256:8a18f504f46eaef6707f9097e06a10ab5307a58c923297393ada8746b6274f3c

Observation d497fec0-2141-4097-bb6f-09b75aa763ee · outbound

This paper cites Breaking down network slicing: Hi- erarchical orchestration of end-to-end networks,.

Conversational Orchestration for Organic 6G Breaking down network slicing: Hi- erarchical orchestration of end-to-end networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:51:40.244130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.879846Z digest=sha256:c9ad6a5c3486d84ce13ed97308ebc35c43b5e9c3adfc4c82945a67135e6b0a0c

Observation 3d5ebddf-3c2d-46b1-9c4a-1972cd94dac6 · outbound

This paper cites Toward a Dynamic Future With Adaptable Computing and Network Convergence (ACNC),.

Conversational Orchestration for Organic 6G Toward a Dynamic Future With Adaptable Computing and Network Convergence (ACNC),

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:51:40.225414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.886745Z digest=sha256:ea29a7bbacdd136a89b8156cecb78544698a3d3330977277a3f4b8aac721ffa1

Observation 93c1dec7-8e21-463e-99d2-908bb303f811 · outbound

This paper cites Service Registration, Indexing, Discovery, and Selection: An Architectural Survey Toward a GenAI-Driven Future,.

Conversational Orchestration for Organic 6G Service Registration, Indexing, Discovery, and Selection: An Architectural Survey Toward a GenAI-Driven Future,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T18:51:39.892151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:51:39.892151Z digest=sha256:bcb863878634c7ef422ffe08cec13e3aab1a9a5af95aedf26a7934c0b23c855d

Observation b9f5bb50-ed9e-43c1-85f9-5f229f5961bb · outbound

This paper cites Communication Methods in Multi-Agent Reinforcement Learning,.

Conversational Orchestration for Organic 6G Communication Methods in Multi-Agent Reinforcement Learning,

Reference 11

Resolution
verified exact
raw_fallback, observed 2026-08-12T18:51:40.190464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:51:39.898052Z digest=sha256:bd37dc45c1d471832f245df6ea7c79b115dca19c974e603df3f5b7750496dfa9

Observation b5b4bae3-cc84-4415-b393-a858ccde09ac · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Conversational Orchestration for Organic 6G DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T18:51:39.903602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:51:39.903602Z digest=sha256:a3e470ea6861d72cfe2278bf5fd0ea9a82ee85fd33e7448d0c9e5266b1d3d4dd

Observation afc94b41-db6d-4ff9-9392-433085e04ec7 · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

Conversational Orchestration for Organic 6G Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T18:51:39.909628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:51:39.909628Z digest=sha256:482d6a07d9c83b8556d327b5ad181890f79e88a620fca0c65f88cd0cf546276f

Observation 16f86c57-e7c9-4d71-9c00-ed02c5ebba99 · outbound

This paper cites GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization.

Conversational Orchestration for Organic 6G GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T18:51:39.915223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:51:39.915223Z digest=sha256:2d2a0ffcd57ee2336ade6747af50beb10b716db0fc36b07c36d06fe7f6c992a0

Observation c6da6b07-bdc2-46f9-a919-680fb2180aaf · outbound

This paper cites Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t,.

Conversational Orchestration for Organic 6G Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T18:51:39.920933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:51:39.920933Z digest=sha256:6bbeda5b9e90e03e275cd798534c5df8f784626854350b42b69270a91b8028ed

Pith citing papers

No inbound Pith citation observations are available.