{"as_of":"2026-08-17T03:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cc7e1ad93fe08affa6e8b4decb5e61460d4784654c617c0ac8912d65328f89e4","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:40:25.881677Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:10:14.749361Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T13:21:20.500757Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.17590","snapshot_observed_at":"2026-08-06T18:10:14.749361Z","title":"Miti- gating xApp Conflicts for Efficient Network Slicing in 6G O-RAN: A Graph Convolutional-Based Attention Network Approach,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.09124","last_updated":"2025-07-12T02:58:09Z","snapshot_observed_at":"2026-08-16T17:19:30.259738Z","submitted_at":"2025-07-12T02:58:09Z","title":"Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:10:14.749361Z"},"links":{"cited_paper":"/paper/2504.17590","citing_paper":"/paper/2507.09124"},"observation_digest":"sha256:64645c5a1e657acaa0f5b3c003fd115b0efc960dce3c01445409364f089e480c","observation_id":"d1661313-087b-420c-a792-74d0ac533ed7","resolution":{"observed_at":"2026-08-06T18:10:14.749361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"cited_work":{"arxiv_id":"2504.17590","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.17590","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"85d0ea3f-019a-4626-a09f-000d7b1a8592","year":2025},"citing_paper":{"arxiv_id":"2604.19610","last_updated":"2026-04-21T15:58:21Z","snapshot_observed_at":"2026-07-06T23:06:12.542013Z","submitted_at":"2026-04-21T15:58:21Z","title":"ZODIAC: Zero-shot Offline Diffusion for Inferring Multi-xApps Conflicts in Open Radio Access Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T01:49:15.644521Z"},"links":{"cited_paper":"/paper/2504.17590","citing_paper":"/paper/2604.19610"},"observation_digest":"sha256:8356ef909138d92e57e71c5829d81d796ca32e84a792d0a49136526d7471a319","observation_id":"3df8eed7-45a3-4547-8b35-49abfb5d2573","resolution":{"observed_at":"2026-05-11T13:21:20.575835Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.17590","snapshot_observed_at":"2026-07-14T19:30:54.093449Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.19611","last_updated":"2026-07-13T17:24:22Z","snapshot_observed_at":"2026-08-12T19:08:45.069524Z","submitted_at":"2026-04-21T15:58:40Z","title":"Sutured manifold hierarchies and the Thurston norm","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T19:30:54.093449Z"},"links":{"cited_paper":"/paper/2504.17590","citing_paper":"/paper/2604.19611"},"observation_digest":"sha256:08f10ea6f5e8679906110ccdf75e9613faa4e863e979740769ce3d2739ac6995","observation_id":"81def86d-a950-4c42-935d-c25cd5d7cb3c","resolution":{"observed_at":"2026-07-14T19:30:54.093449Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.17590/citation-record","integrity":"/paper/2504.17590/integrity","json":"/paper/2504.17590/citation-record.json","paper":"/paper/2504.17590"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:40:26.121264Z","title":"Banafaa, et al ”6G mobile communication technology: requirements, targets, applications, challenges, advantages, and opportunities”, Alexan- dria Eng","venue":null,"work_id":"9488bec3-31fa-4742-872e-bff3966fe959","year":2023},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.825507Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:f9822b15f89a5fadd2948eca734576b7682fa6ca6d5352a71fa712b022b2d0e6","observation_id":"c7b4bf71-914e-42b8-91d3-c5114641be78","resolution":{"observed_at":"2026-08-16T10:40:26.125685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/fi14030095","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:40:25.948752Z","title":"Papidas, et al, ”Self-Organizing Networks for 5G and Be- yond: A View from the Top” Future Internet 14, no","venue":null,"work_id":"63826504-c79c-47b7-94c4-3d6c149f1b01","year":null},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.830142Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:438cc4867f4e5d38308ef9dfe58b14df2fad52c4af3cfaefa7e8a066d6afee3b","observation_id":"6bbb0851-7898-431c-af56-f33c14554949","resolution":{"observed_at":"2026-08-16T10:40:25.952575Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:40:25.834144Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.834144Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:5379e6d8190241846eb6b7c0b6b1f59163695dd2a49bf24eb432f1a5e8ab8d76","observation_id":"6c3e6768-2d58-40e1-9e17-b2ad3a70edcc","resolution":{"observed_at":"2026-08-16T10:40:25.834144Z","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":"2026-08-16T10:40:26.109065Z","title":null,"venue":null,"work_id":"b06ef96b-d46c-4427-afc7-5dd1b62c4fce","year":2023},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.837673Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:a61271a2b457f264a69c75d8a4e514984d1e65eb798e96d9d6fedbd7d7381b14","observation_id":"3e26bc06-686e-4644-8dd0-3929e0c2f43b","resolution":{"observed_at":"2026-08-16T10:40:26.112971Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T10:40:26.097344Z","title":"Use Cases and Overall Architecture Specification,","venue":null,"work_id":"58acc18a-9929-41ce-aa09-ade30af4eba1","year":null},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.841511Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:621812f9ec014118503ecd11769b23f8ef034df45fc07a01ccba9cc9be334417","observation_id":"cc148e50-eaba-4f00-8c2e-22f5c7493482","resolution":{"observed_at":"2026-08-16T10:40:26.100869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T10:40:26.084934Z","title":"O-RAN Control, User and Synchronization Plane Specification,","venue":null,"work_id":"f2c35be2-5e93-4d28-903f-363a9d3c7c33","year":null},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.846139Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:ed09db2fb56b2b1d7049c652d72cbc706c88e0ce799d27ea80e208c7ee69eb11","observation_id":"7e36b992-1106-4fe6-ac56-cd43c48c030a","resolution":{"observed_at":"2026-08-16T10:40:26.089180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/mwc.001.2100338","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:40:25.936748Z","title":"Wu et al., ”AI-Native Network Slicing for 6G Networks,” in IEEE Wireless Communications, vol","venue":null,"work_id":"2cc5c384-7d9b-463e-9597-0b79301be4b6","year":2022},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.849818Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:de9ac86430c094f55289a12d28e30e6a52356ca5b48fdefa91d141527249ae1e","observation_id":"d7c2cdff-aa33-48f1-acea-913ec0e9c0b7","resolution":{"observed_at":"2026-08-16T10:40:25.941585Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T10:40:26.071814Z","title":"O-RAN Operations and Maintenance Interface Spec- ification,","venue":null,"work_id":"7b5ac850-5993-4f38-830c-4d5146572121","year":2022},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.853730Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:0215f979cb367c56845e3d3a07364b23f3066931b984dbcf0fb304b7bbd6113e","observation_id":"379a1a9b-be7f-4174-9eb8-ff8cfb7853e3","resolution":{"observed_at":"2026-08-16T10:40:26.076733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T10:40:26.060014Z","title":null,"venue":null,"work_id":"1a9bd21f-0a55-439b-8be7-e85ebda55692","year":2020},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.857338Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:33a6108623c6c228112b38011982e447e9e5ad9987b61e4459ecb6229f2f5410","observation_id":"99345f13-59d3-4b0a-916c-f8539714adee","resolution":{"observed_at":"2026-08-16T10:40:26.064001Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:40:25.861929Z","title":"Zhang, Z","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.861929Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:dd2b8adfc9f2ed6832f9696f3e9956ff66c1d7640b6adbd30f6187f0a1ee046f","observation_id":"723155bb-f9a6-484c-8f5d-5dbb7c4f6fc3","resolution":{"observed_at":"2026-08-16T10:40:25.861929Z","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":"2026-08-16T10:40:25.866199Z","title":"Gronauer, et al, ”Multi-agent deep reinforcement learning: a survey” 55, 895–943 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.866199Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:dba9e3ea9d7a6fc4157a8e24f11289b665bf394749b1171b2241c170b3814e23","observation_id":"a7158a4d-3c7e-4448-bf5a-ac91c8e001dc","resolution":{"observed_at":"2026-08-16T10:40:25.866199Z","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":"10.1186/s40649-019-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:40:25.909825Z","title":"Zhang, et al","venue":null,"work_id":"d83830bd-6570-431f-b881-0878a6c12d20","year":2019},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.870043Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:22e02e29bf4c97715e238e000391b8e073dbba11985fd8a2ebda7cdec095e830","observation_id":"7ae71603-2dce-4d7e-aa4e-17f17cefccfb","resolution":{"observed_at":"2026-08-16T10:40:25.914627Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-08-17T01:19:18.409791Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-16T10:40:25.873843Z","title":"Vaswani, et al, ”Attention is all you need”, arXiv preprint arXiv:1706.03762, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.873843Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:71deb1a02076c4f29b132abb8288b048078aa944f43dab283450c7b45639e3d3","observation_id":"9f710bd4-fda2-457b-abbc-06b4d2951414","resolution":{"observed_at":"2026-08-16T10:40:25.873843Z","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":"2026-08-16T10:40:26.048156Z","title":"Jiang, et al, ”Graph Convolutional Reinforcement Learning”, Interna- tional Conference on Learning Representations, 2020","venue":null,"work_id":"85745903-ebd0-4e3c-a1a0-925fb9c348c6","year":2020},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.877845Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:cb563c8b571779229f8ce40a5c773c3b4c21c4f754e512456d736cabffcacf14","observation_id":"3dfb1b5d-190a-4aac-9cef-89edadd25f4c","resolution":{"observed_at":"2026-08-16T10:40:26.052331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T10:40:26.035803Z","title":"Bonati, et al, ”Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation”, Proc","venue":null,"work_id":"b2939a92-8ce6-4328-90fe-089cf3514872","year":2021},"citing_paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T10:40:25.881677Z"},"links":{"citing_paper":"/paper/2504.17590"},"observation_digest":"sha256:977108be1995592ccb7f7a1ad6bc560eb2a7e54e028e7480ee5881ec61fec3f0","observation_id":"5ae2fd77-085c-4a03-92d9-9a59e7ca37e0","resolution":{"observed_at":"2026-08-16T10:40:26.039810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.17590","last_updated":"2025-04-24T14:20:11Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-16T10:33:53.676518Z","submitted_at":"2025-04-24T14:20:11Z","title":"Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":2,"verified_fuzzy":6},"total_outbound_references":15},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2504.17590."}