{"as_of":"2026-08-08T12:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba2e79bb1501977d41824383272b92a4222808389534e592d88c313c850b92c2","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:25:50.954520Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.02616/citation-record","integrity":"/paper/2506.02616/integrity","json":"/paper/2506.02616/citation-record.json","paper":"/paper/2506.02616"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:53.595324Z","title":null,"venue":null,"work_id":"9a57cda1-fd3e-4f02-b19d-4af30f19c926","year":2022},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:49.253211Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:af3dc490fb61f9a4281a5a91906aac2ee8f211e68fe7d76abf50c34e4df5c305","observation_id":"a8504177-0924-4c10-a8b6-3c38dce54d74","resolution":{"observed_at":"2026-08-07T11:25:53.696463Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:53.379941Z","title":"Trust and perfor mance in future AI-enabled, open, multi-vendor network management automation,","venue":null,"work_id":"1c2bcdea-0d8c-4257-8839-a9467617eb6e","year":2023},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:49.342617Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:4cdea7907f7e6a094da20d97d2173e5a4a27329228966ef9ff69a884ea5e563d","observation_id":"260d7511-ba35-4da1-8661-05ad39606ef0","resolution":{"observed_at":"2026-08-07T11:25:53.481987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:53.197989Z","title":"Mobility-awa re load balanc- ing for reliable self-organization networks: Multi-agent deep reinforce- ment learning,","venue":null,"work_id":"f41f5ff5-32e0-47bf-8ffe-fc1993429991","year":2020},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:49.460751Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:560d92fe162774748bebf11a8b2052a527b0e183fb3d89dc83f7547c30989b28","observation_id":"e5774fa2-3260-4e40-b59e-5954e94fa008","resolution":{"observed_at":"2026-08-07T11:25:53.297799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:53.018273Z","title":"A service-centric Q-learning algorithm for mobility robustness optimization in LTE,","venue":null,"work_id":"3f84bd80-f6ed-4afe-9a78-5fcc04ac350c","year":2021},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:49.588238Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:0df0029f0ed82ea9a7a71212da106d601cdcbeab4e5cb3de1556c3728abe7bde","observation_id":"42c73279-d7fe-4e0e-9958-bda620abdd00","resolution":{"observed_at":"2026-08-07T11:25:53.080659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:52.807349Z","title":"Inter -cell slicing resource partitioning via coordinated multi-agent deep re inforcement learning,","venue":null,"work_id":"f4d42718-0319-4c86-bcc7-26a2979df24d","year":2022},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:49.702001Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:d5ad5fa7c789f9e8fb7c1855e9c909fd281ee1cff48aa00a68affc767cbf8421","observation_id":"de3d9989-d4db-4a82-bf4a-c34bf6587ddb","resolution":{"observed_at":"2026-08-07T11:25:52.895758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:52.576125Z","title":"Ta sk-driven modular networks for zero-shot compositional learning,","venue":null,"work_id":"c95a94ba-e60b-4e68-a56f-8af8a412e615","year":2019},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:49.863048Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:165f30ac57618467d509130cac1c0e3d835ec93d947d9ba16d2fbdf68c3ebb38","observation_id":"aa23848c-f739-443f-a7d9-3bd2f6fdfd3b","resolution":{"observed_at":"2026-08-07T11:25:52.678138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.11529","last_updated":"2024-01-27T12:01:57Z","snapshot_observed_at":"2026-07-06T14:54:41.337108Z","submitted_at":"2023-02-22T18:11:25Z","title":"Modular Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.11529","snapshot_observed_at":"2026-08-07T11:25:50.023149Z","title":"Modula r deep learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.023149Z"},"links":{"cited_paper":"/paper/2302.11529","citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:ba0ba1ef33e659fba2ff5cbb1dbe720c698ba69efe2d78b22878f0995580928f","observation_id":"dc637100-02a4-40a1-8032-b6398d5f4e0b","resolution":{"observed_at":"2026-08-07T11:25:50.023149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:52.364429Z","title":"Single and multi-agent deep r einforcement learning for AI-enabled wireless networks: A tutorial,","venue":null,"work_id":"75f507bf-8287-4564-88f7-cb06b626cb29","year":2021},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.129700Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:1ed2a6e543acb5db08ef697469294ac4e1f00ca776e80644cd53070d52301fbf","observation_id":"f67ee32a-cfa2-4099-af78-cb5beedde110","resolution":{"observed_at":"2026-08-07T11:25:52.459464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:52.168744Z","title":"Knowledge transfer in deep reinforcement learning for slice-aware mobility robustne ss optimization,","venue":null,"work_id":"7346d762-a5b1-45ab-857b-524a1a65eb82","year":2022},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.203540Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:2367858b4a2d7d0467aa9020cf1cc4bfc13f68ee37374658a648d709db1a9b67","observation_id":"306c27ff-bc67-42ca-85d7-3fc047d953c8","resolution":{"observed_at":"2026-08-07T11:25:52.257687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:51.975856Z","title":"Multi-agent actor-critic for mixed cooperative- competitive environments,","venue":null,"work_id":"df5a2168-8da7-4fb6-bb60-471ee89a5775","year":2017},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.276127Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:d89c43b5f12db5f6842b837d11685e557f23cc573e9f97fa5ac118ef81f8120a","observation_id":"1db52a52-4148-4e97-ad32-5ce7460b89fc","resolution":{"observed_at":"2026-08-07T11:25:52.063979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:51.830982Z","title":"Actor-Critic algorithms,","venue":null,"work_id":"50c987aa-960d-4887-a544-2566c1a184be","year":1999},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.379872Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:a5f6b59cdde728f64833430161a12af86118cfad7f7f6971a93d2536359265d5","observation_id":"97ac0a9e-e768-4267-810c-5a50f909f8c6","resolution":{"observed_at":"2026-08-07T11:25:51.888852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.09477","last_updated":"2018-10-22T17:37:07Z","snapshot_observed_at":"2026-07-06T06:25:26.844090Z","submitted_at":"2018-02-26T17:54:49Z","title":"Addressing Function Approximation Error in Actor-Critic Methods","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.09477","snapshot_observed_at":"2026-08-07T11:25:50.477050Z","title":"Addressing function approximation error in Actor- Critic methods,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.477050Z"},"links":{"cited_paper":"/paper/1802.09477","citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:ed0ae72330a4140e032fe5a2bee40500c69063254d638b793ef7f95d14d55719","observation_id":"a8192a48-4db7-4a77-9c82-debd234f9782","resolution":{"observed_at":"2026-08-07T11:25:50.477050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:50.572087Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.572087Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:2d5b3ba22f7f34505dabdf7ee38d57ac24516fa0147ee208beec40bd28ef4d35","observation_id":"d4b31387-b733-4670-a929-40de53c82a06","resolution":{"observed_at":"2026-08-07T11:25:50.572087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:51.637029Z","title":"On ADMM in dee p learning: Convergence and saturation-avoidance,","venue":null,"work_id":"51f42960-3e22-4125-a19d-f9b9938b76c6","year":2021},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.669194Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:28568ad03df18f70c4019ca24d3d2bdc3afa8a7c188819e57010a31efa73e492","observation_id":"187c0f07-792a-4d90-a9f0-8f0c65f9885e","resolution":{"observed_at":"2026-08-07T11:25:51.719197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:51.469848Z","title":"Fast and scalable network slicing by integrating deep learning with Lagrangi an methods,","venue":null,"work_id":"f28efa6d-7a5f-4a5e-b85e-56cbb912bb79","year":2023},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.764088Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:51569303ea19b2c544e2b88a4ff9858d4f3969efeaaa4274d2040f1d2d7f6b24","observation_id":"a2f5212b-32b2-4f1a-8c1e-ecb0dbf2b7cb","resolution":{"observed_at":"2026-08-07T11:25:51.559236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:51.293715Z","title":null,"venue":null,"work_id":"401a6a8d-8405-4cab-b881-69da461fe739","year":2024},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.863212Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:784a0089fba094a67353d7a99503e40b737b9d3c7d3e857408c769abffa1e718","observation_id":"c19f719c-349c-4748-9eb6-036ea6ceb96d","resolution":{"observed_at":"2026-08-07T11:25:51.361578Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:25:51.146944Z","title":"Microscopic trafﬁc simulation using SUMO,","venue":null,"work_id":"1ed411bd-d445-46c8-bb47-c7d55e9d4709","year":2018},"citing_paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:25:50.954520Z"},"links":{"citing_paper":"/paper/2506.02616"},"observation_digest":"sha256:e62ef1207a24a0aa9c5b1b27f0ec3a3216455d5ee7624d3c2eefc5981fdaca16","observation_id":"3e5455f7-42f0-45b3-a33f-3cc91dc24caa","resolution":{"observed_at":"2026-08-07T11:25:51.212574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.02616","last_updated":"2025-06-03T08:33:18Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T11:17:55.931525Z","submitted_at":"2025-06-03T08:33:18Z","title":"Compositional Learning for Modular Multi-Agent Self-Organizing Networks"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":17},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"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."}