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Paper Citation Record · LEDGER

Compositional Learning for Modular Multi-Agent Self-Organizing Networks

As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.02616.

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

pith.paper-citation-record.v1
2506.02616 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:25:50.954520Z

measured 17 of 17 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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8504177-0924-4c10-a8b6-3c38dce54d74 · outbound

This paper cites an unresolved cited work.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:25:53.696463Z

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=2026-08-07T11:25:49.253211Z digest=sha256:d1b8a9b0bf99006e20b03e21da9197ed2637592f921ebf17f633b70bb806d26a

Observation 260d7511-ba35-4da1-8661-05ad39606ef0 · outbound

This paper cites Trust and perfor mance in future AI-enabled, open, multi-vendor network management automation,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Trust and perfor mance in future AI-enabled, open, multi-vendor network management automation,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:53.481987Z

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=2026-08-07T11:25:49.342617Z digest=sha256:217d5780488298f3792614e1419c78d9041f568e2ff0d98c67e65fd3177cd5e7

Observation e5774fa2-3260-4e40-b59e-5954e94fa008 · outbound

This paper cites Mobility-awa re load balanc- ing for reliable self-organization networks: Multi-agent deep reinforce- ment learning,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Mobility-awa re load balanc- ing for reliable self-organization networks: Multi-agent deep reinforce- ment learning,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:53.297799Z

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=2026-08-07T11:25:49.460751Z digest=sha256:2b857d076cd1bce105bbbe5bcad757f0d239f97ffe83ce076652d1e7181d6521

Observation 42c73279-d7fe-4e0e-9958-bda620abdd00 · outbound

This paper cites A service-centric Q-learning algorithm for mobility robustness optimization in LTE,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks A service-centric Q-learning algorithm for mobility robustness optimization in LTE,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:53.080659Z

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=2026-08-07T11:25:49.588238Z digest=sha256:bccb3ac162634abf8738f32b2174bd1f8f9687fb3e7d8aa24126e0b0233a98ef

Observation de3d9989-d4db-4a82-bf4a-c34bf6587ddb · outbound

This paper cites Inter -cell slicing resource partitioning via coordinated multi-agent deep re inforcement learning,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Inter -cell slicing resource partitioning via coordinated multi-agent deep re inforcement learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:52.895758Z

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=2026-08-07T11:25:49.702001Z digest=sha256:137f1aac1095aeedf6a0116263ad361c13e7fc7a095d0c42e7b4373f048c2c82

Observation aa23848c-f739-443f-a7d9-3bd2f6fdfd3b · outbound

This paper cites Ta sk-driven modular networks for zero-shot compositional learning,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Ta sk-driven modular networks for zero-shot compositional learning,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:52.678138Z

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=2026-08-07T11:25:49.863048Z digest=sha256:ab02db52ac58eef77a540f5a02891cd2a5b006188cbfdb52d56e77a8611fe4d8

Observation dc637100-02a4-40a1-8032-b6398d5f4e0b · outbound

This paper cites Modular Deep Learning.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Modular Deep Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:25:50.023149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:50.023149Z digest=sha256:b04591f9b1c8d9e36395d088d8cbb54dd3886ec9272af4640ad5ffaa751b1aea

Observation f67ee32a-cfa2-4099-af78-cb5beedde110 · outbound

This paper cites Single and multi-agent deep r einforcement learning for AI-enabled wireless networks: A tutorial,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Single and multi-agent deep r einforcement learning for AI-enabled wireless networks: A tutorial,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:52.459464Z

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=2026-08-07T11:25:50.129700Z digest=sha256:93e289813e00b4d29d3cf90de506bc5c698a9c036a6120f442ef7856d53dd015

Observation 306c27ff-bc67-42ca-85d7-3fc047d953c8 · outbound

This paper cites Knowledge transfer in deep reinforcement learning for slice-aware mobility robustne ss optimization,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Knowledge transfer in deep reinforcement learning for slice-aware mobility robustne ss optimization,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:52.257687Z

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=2026-08-07T11:25:50.203540Z digest=sha256:2de03b5f95202e81a209a104b55d987c0c4c3dd9e4a909caa280707becc524a5

Observation 1db52a52-4148-4e97-ad32-5ce7460b89fc · outbound

This paper cites Multi-agent actor-critic for mixed cooperative- competitive environments,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Multi-agent actor-critic for mixed cooperative- competitive environments,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:52.063979Z

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=2026-08-07T11:25:50.276127Z digest=sha256:a27f690aeee07d508a1de3d24729c71b28ac002187789d8c0506732cffbd16aa

Observation 97ac0a9e-e768-4267-810c-5a50f909f8c6 · outbound

This paper cites Actor-Critic algorithms,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Actor-Critic algorithms,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:51.888852Z

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=2026-08-07T11:25:50.379872Z digest=sha256:a7c2c056d38531d91b0b1d129851ec9d662f22967d5e69b269b6368320eb0a15

Observation a8192a48-4db7-4a77-9c82-debd234f9782 · outbound

This paper cites Addressing Function Approximation Error in Actor-Critic Methods.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Addressing Function Approximation Error in Actor-Critic Methods

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T11:25:50.477050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:50.477050Z digest=sha256:685ff64def41430a89ed982d6a290523d70c2137319e9139e7573348f663a668

Observation d4b31387-b733-4670-a929-40de53c82a06 · outbound

This paper cites an unresolved cited work.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:25:50.572087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:50.572087Z digest=sha256:36d24f91bc080db1b66a4f72b08c0a6e679cb917ee4ebf5b50e643168b0a66b2

Observation 187c0f07-792a-4d90-a9f0-8f0c65f9885e · outbound

This paper cites On ADMM in dee p learning: Convergence and saturation-avoidance,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks On ADMM in dee p learning: Convergence and saturation-avoidance,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:51.719197Z

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=2026-08-07T11:25:50.669194Z digest=sha256:1a41b36632cf321f911d9db2bc756f7b2d5ed5196e5d1477a46d0672926746a1

Observation a2f5212b-32b2-4f1a-8c1e-ecb0dbf2b7cb · outbound

This paper cites Fast and scalable network slicing by integrating deep learning with Lagrangi an methods,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Fast and scalable network slicing by integrating deep learning with Lagrangi an methods,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:51.559236Z

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=2026-08-07T11:25:50.764088Z digest=sha256:f37d16c98614a151b77f87c0e7f0786b1a2851ddc5afeb9121a809158ae92ef7

Observation c19f719c-349c-4748-9eb6-036ea6ceb96d · outbound

This paper cites an unresolved cited work.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:25:51.361578Z

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=2026-08-07T11:25:50.863212Z digest=sha256:99cfe65173565ab2caf881b13623373bf1cc8cad5850aefba0079293ca635352

Observation 3e5455f7-42f0-45b3-a33f-3cc91dc24caa · outbound

This paper cites Microscopic traffic simulation using SUMO,.

Compositional Learning for Modular Multi-Agent Self-Organizing Networks Microscopic traffic simulation using SUMO,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:51.212574Z

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=2026-08-07T11:25:50.954520Z digest=sha256:36db52b5d9e4d63283b856ecd6a57655be8063aa4094aae1654aaf3620474d07

Pith citing papers

No inbound Pith citation observations are available.