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Paper Citation Record · LEDGER

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach

As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2412.14119.

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

pith.paper-citation-record.v1
2412.14119 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:32:01.809413Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:59:46.150573Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:59:46.196567Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 975f3be5-6edf-4587-903d-cdc5d838f836 · outbound

This paper cites Understanding O-RAN: Architecture, Interfaces, Al- gorithms, Security, and Research Challenges,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach Understanding O-RAN: Architecture, Interfaces, Al- gorithms, Security, and Research Challenges,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:02.169867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.743470Z digest=sha256:f383220e748b75a73de03531bd4cb2a139facefec140ada3ce1dc931d0433fbb

Observation ac10297f-f94f-4690-a6a5-eda86f43b184 · outbound

This paper cites OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:02.149989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.749174Z digest=sha256:c7c26df069093a495b8712b636bc5f3957150785ca4f44e2608f347b9665fd0b

Observation fc77686d-8d2f-413d-b9ff-ea398b8685a2 · outbound

This paper cites Managing O-RAN Networks: xApp Development from Zero to Hero.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach Managing O-RAN Networks: xApp Development from Zero to Hero

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T12:32:01.754223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:32:01.754223Z digest=sha256:1cb6ec9f055e55e4f80fa97d8a8f84c6c9322850ecbeb2d76894ab2d405eb20e

Observation 0150bad6-1e35-46fb-8dbf-dd529cfe58e7 · outbound

This paper cites PACIFISTA: Conflict Evaluation and Management in Open RAN,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach PACIFISTA: Conflict Evaluation and Management in Open RAN,

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-11T12:32:01.940403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.759360Z digest=sha256:6190047b90ab139cc5cb0f8783b522025c6e74e609d744eea0e7aca94e6fe915

Observation b986babc-f5a4-45bb-8c31-31dca288ab9b · outbound

This paper cites Conflict Management in the Near-RT-RIC of Open RAN: A Game Theoretic Approach,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach Conflict Management in the Near-RT-RIC of Open RAN: A Game Theoretic Approach,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:02.128458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.764208Z digest=sha256:64e6e6c021e3cb1857783183ab50aa9badeff30a60af1c846fcf76ade8174268

Observation 46b7bd11-e99d-4e11-b5ec-845e837ac37e · outbound

This paper cites Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN),.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN),

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:02.109996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.769202Z digest=sha256:a735428385c1b973e97e62bcaf5de05712deed98dda168ea872a7de39c5db104

Observation c6f6bbf0-8fac-4340-ad56-13e05eca6678 · outbound

This paper cites Conflict Mitigation Framework and Conflict Detection in O-RAN Near-RT RIC,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach Conflict Mitigation Framework and Conflict Detection in O-RAN Near-RT RIC,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:02.088945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.774717Z digest=sha256:7d1dc9352ae6767dc00134bde432ac978be0150dbc6c879cbf4f3ca747ecaeb4

Observation 29f26d37-5621-4b6e-8913-79809b8cea08 · outbound

This paper cites Inductive Representation Learning on Large Graphs,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach Inductive Representation Learning on Large Graphs,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:02.066719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.784240Z digest=sha256:4d95641c430c626b23121edfa1e1ea4c16331e5bf816f677640bb1fd66cf6f59

Observation 820ad7a1-9429-4a84-9320-6468ffd1bd60 · outbound

This paper cites Toward Control and Coordination in Cognitive Autonomous Networks,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach Toward Control and Coordination in Cognitive Autonomous Networks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:02.047010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.789832Z digest=sha256:f858c7457c7b9b2c7cdf23a52320caea5b40ae80633b179f204380dd54e2393a

Observation 0c06c1c5-1092-4baa-a602-6fb1e2b35f52 · outbound

This paper cites TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:02.026716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.797737Z digest=sha256:34ed8544b433795fd46aeec0817d297e8bd0fce967890414887efbd191fc9ac9

Observation 703ac479-16c7-4b9d-ad45-29ea1abaf434 · outbound

This paper cites Karl Pearson and the Correlation Curve,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach Karl Pearson and the Correlation Curve,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:02.008466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.804369Z digest=sha256:faa00ed55fbd2a60688167108c645ce71207756a23166ebe80a9b8306a7992cf

Observation eb39bc20-196f-4f09-8db3-53767181f9f5 · outbound

This paper cites Near-RT RIC Architecture,.

Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach Near-RT RIC Architecture,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:32:01.986821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:32:01.809413Z digest=sha256:52d79373521cc7ba46962b5485ba1971da421ed4a5e8c6ebf840b93e37db8afc

Pith citing papers

Observation 0ab53e98-0366-439a-8614-5e60a22fad2c · inbound

COMIX: Generalized Conflict Management in O-RAN xApps -- Architecture, Workflow, and a Power Control case cites this paper.

COMIX: Generalized Conflict Management in O-RAN xApps -- Architecture, Workflow, and a Power Control case Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:59:46.201989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T14:59:46.150573Z digest=sha256:241c8cc60810d7655ee534dd176142dedc0cb1c5568578fb2a5ae826c0f8d2bc