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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.743470Z digest=sha256:2d7b071be11f060f5b2caaf367639457a5f4c4ee81da4f20b48c15516c633c40

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.749174Z digest=sha256:9e18c7c7d26752310f9af528500af50d35e08c77005a9f14ed554e948d853e88

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=sha256:7974617e47b6f8a84f35db2c2f48eab095d184a2fcf72cfc7d46d8dd52021206

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.759360Z digest=sha256:17df3085270aed0058208c1fa86f34b298a77674bdc12bbd867588c6ff9b9055

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.764208Z digest=sha256:cf9862d459c11b896d0a0591357a50accde2f2a1079b20da9802dd7414a807e7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.769202Z digest=sha256:a2129719021f1bdd229657d065e0882066fc987559f78fc572c3339256101964

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.774717Z digest=sha256:4607c8349df14067c9564ad23883f052130bc5c036b69874524fa26cb37f9c28

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.784240Z digest=sha256:c7f26ce471feeb7d731f9e6fbcddebf4587678f14eb004ed2660d22e2ccf3fae

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.789832Z digest=sha256:3ba4967e515705e053a62b1a68785e086fcfe21aecb250268b43dc5d1794912e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.797737Z digest=sha256:ab03b242d6692b12a056a5ba9ba5807082202055918c873b2f87ff3a46db5160

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.804369Z digest=sha256:52e8a771191374cbe4aec14d658d292e99070796bccd401a34631fb6fd2f47bb

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T12:32:01.809413Z digest=sha256:5646134a4eb6edfe2b0e4b5303426db392ee65747f200f9119fa27ae641d05a2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:59:46.150573Z digest=sha256:4a5b4e2fb91d887d0c09ff94abf2a6d6ac8c756493e7554eec9a98a7abb6b1e9