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Paper Citation Record · LEDGER

Compositional Learning for Modular Multi-Agent Self-Organizing Networks

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:49.342617Z digest=sha256:4cdea7907f7e6a094da20d97d2173e5a4a27329228966ef9ff69a884ea5e563d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:49.460751Z digest=sha256:560d92fe162774748bebf11a8b2052a527b0e183fb3d89dc83f7547c30989b28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:49.588238Z digest=sha256:0df0029f0ed82ea9a7a71212da106d601cdcbeab4e5cb3de1556c3728abe7bde

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:49.702001Z digest=sha256:d5ad5fa7c789f9e8fb7c1855e9c909fd281ee1cff48aa00a68affc767cbf8421

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:49.863048Z digest=sha256:165f30ac57618467d509130cac1c0e3d835ec93d947d9ba16d2fbdf68c3ebb38

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:ba0ba1ef33e659fba2ff5cbb1dbe720c698ba69efe2d78b22878f0995580928f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:50.129700Z digest=sha256:1ed2a6e543acb5db08ef697469294ac4e1f00ca776e80644cd53070d52301fbf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:50.203540Z digest=sha256:2367858b4a2d7d0467aa9020cf1cc4bfc13f68ee37374658a648d709db1a9b67

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:50.276127Z digest=sha256:d89c43b5f12db5f6842b837d11685e557f23cc573e9f97fa5ac118ef81f8120a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:50.379872Z digest=sha256:a5f6b59cdde728f64833430161a12af86118cfad7f7f6971a93d2536359265d5

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:ed0ae72330a4140e032fe5a2bee40500c69063254d638b793ef7f95d14d55719

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=sha256:2d5b3ba22f7f34505dabdf7ee38d57ac24516fa0147ee208beec40bd28ef4d35

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:50.669194Z digest=sha256:28568ad03df18f70c4019ca24d3d2bdc3afa8a7c188819e57010a31efa73e492

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:50.764088Z digest=sha256:51569303ea19b2c544e2b88a4ff9858d4f3969efeaaa4274d2040f1d2d7f6b24

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:50.863212Z digest=sha256:784a0089fba094a67353d7a99503e40b737b9d3c7d3e857408c769abffa1e718

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:25:50.954520Z digest=sha256:e62ef1207a24a0aa9c5b1b27f0ec3a3216455d5ee7624d3c2eefc5981fdaca16

Pith citing papers

No inbound Pith citation observations are available.