{"as_of":"2026-08-13T06:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a5de7545be2b5706d99a5a88653d08ca0271fe2a598300a5c9fc6a97ffd2d8a7","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:09:37.746166Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:45:46.165377Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T00:45:46.477420Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"cited_work":{"arxiv_id":"2505.21518","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.21518","snapshot_observed_at":"2026-08-07T00:45:46.477420Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","venue":"cs.NI","work_id":"c1508627-fc0a-4fd5-858b-27f7b830fbd5","year":2025},"citing_paper":{"arxiv_id":"2506.12795","last_updated":"2025-06-15T10:01:44Z","snapshot_observed_at":"2026-08-10T09:10:27.409870Z","submitted_at":"2025-06-15T10:01:44Z","title":"Resilient-native and Intelligent NextG Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:46.165377Z"},"links":{"cited_paper":"/paper/2505.21518","citing_paper":"/paper/2506.12795"},"observation_digest":"sha256:8fe6b5b095e95d1a9a89eea60c23b0bd6bc22ab13f8a11bc1be55ad988655ac4","observation_id":"771f242e-582d-4e76-a880-6e725cca25e9","resolution":{"observed_at":"2026-08-07T00:45:46.533187Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.21518","snapshot_observed_at":"2026-08-04T10:19:32.934356Z","title":"Available: https://arxiv.org/abs/2505.21518","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.10895","last_updated":"2026-06-30T06:03:20Z","snapshot_observed_at":"2026-08-08T22:52:00.691955Z","submitted_at":"2025-10-13T01:47:24Z","title":"LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game Approach","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T10:19:32.934356Z"},"links":{"cited_paper":"/paper/2505.21518","citing_paper":"/paper/2510.10895"},"observation_digest":"sha256:679f22057e914c1585935ee7ca011ca1f1e5c3ec44522b7b577921d77e85ba14","observation_id":"09d2e4fc-9653-4d22-a89a-70f68d981c2a","resolution":{"observed_at":"2026-08-04T10:19:32.934356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.21518/citation-record","integrity":"/paper/2505.21518/integrity","json":"/paper/2505.21518/citation-record.json","paper":"/paper/2505.21518"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:09:42.850519Z","title":"T he Role of AI in 6G MAC,","venue":null,"work_id":"0fc516a8-e808-4e31-a2dc-6e6c9d85efbb","year":2024},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:34.438259Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:a8ab7c3fd179ff570d945b0e2cc5014bf4f4936e021bf654295825badd8467a5","observation_id":"5ec4728f-c7a8-4496-8438-417715f87a42","resolution":{"observed_at":"2026-08-07T15:09:42.939000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:42.604373Z","title":"The Emerge nce of Wireless MAC Protocols with Multi-Agent Reinforcement Lea rning,","venue":null,"work_id":"0b7eed02-158a-422b-ade6-ded619629ec1","year":2021},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:34.500597Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:9376d70e1c47ff94e6ff7854f8ff3ee1e562282c67ad8c6a1da3b883290ee6f6","observation_id":"758cec99-d957-4067-890c-7b9c4384fc2e","resolution":{"observed_at":"2026-08-07T15:09:42.787732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:42.428137Z","title":"Towa rd Semantic Communication Protocols: A Probabilistic Logic P erspective,","venue":null,"work_id":"0428deb5-0e47-4d08-bb02-1aecf7befc6a","year":2023},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:34.571232Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:de3d326ce40a71c322f277240cd6a0c18619301de23ef681ac4060918f5dc1ff","observation_id":"b11d16b4-195c-4769-927e-98083fc921a5","resolution":{"observed_at":"2026-08-07T15:09:42.507102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13876","last_updated":"2023-01-24T02:27:14Z","snapshot_observed_at":"2026-08-10T18:35:16.448957Z","submitted_at":"2023-01-24T02:27:14Z","title":"Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey","version":1},"cited_work":{"arxiv_id":"2302.13876","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.13876","snapshot_observed_at":"2026-08-07T15:09:38.591081Z","title":"Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey","venue":"cs.NI","work_id":"aaf4c10c-0585-43f9-8ff1-daba6f2cff38","year":2023},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:34.672996Z"},"links":{"cited_paper":"/paper/2302.13876","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:bc5a88eafd94221d2fd8982424b09486ff573ccd114b3a7996291ac05cb79fcf","observation_id":"8a6fbf7a-27c9-427b-8dc0-bd366ed474ff","resolution":{"observed_at":"2026-08-07T15:09:38.723713Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:42.232879Z","title":"A Deep-Learni ng-based MAC for Integrating Channel Access, Rate Adaptation, and Ch annel Switch,","venue":null,"work_id":"0423345f-9838-4b1f-b764-e4d4b568553c","year":2024},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:34.732024Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:a2f168e8817dcd73d68dc9c5172f2a722322744dbe1e5d62738f0a3d02ac7f3b","observation_id":"2bcfc051-14bf-45e0-8540-bab0d7594f0c","resolution":{"observed_at":"2026-08-07T15:09:42.343677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:42.042608Z","title":"Wireless MA C Protocol Synthesis and Optimization with Multi-Agent Distributed R einforcement Learning,","venue":null,"work_id":"73ddaabf-2230-4f3a-989a-d6e997e31f78","year":2024},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:34.825810Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:5014510229ad734bdfc4cc9b25b066824e9325efce325c8a94601ea1e2225814","observation_id":"26423838-12f0-4a98-82d9-92a9f2f819d0","resolution":{"observed_at":"2026-08-07T15:09:42.114956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:41.852665Z","title":"Learning MAC Protocols in HetNets: A Cooperative Multi-Agent Deep Reinf orcement Learning Approach,","venue":null,"work_id":"2530af29-5b2c-4779-acd7-cada0337c2ef","year":2024},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:34.898001Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:497384c8c725bb8abcca9ea952ab4af1303f366fbfb4162516eaa6618e7070c6","observation_id":"9ca8944e-8df8-4818-a67c-70aee99fa172","resolution":{"observed_at":"2026-08-07T15:09:41.964142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:41.579342Z","title":"Large AI Model Empowered Multimodal Semantic Communications,","venue":null,"work_id":"5cf340dc-8019-4be1-9156-d0888a3e90aa","year":2024},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:34.981777Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:31551431cda460d561534b8cb3f89ebe43c4ec451255783a309610239bbaa348","observation_id":"6fbbd1cd-7ca3-4600-8112-fdb2257095d7","resolution":{"observed_at":"2026-08-07T15:09:41.696623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10249","last_updated":"2023-12-23T15:46:59Z","snapshot_observed_at":"2026-07-06T15:43:46.858161Z","submitted_at":"2023-06-17T03:45:00Z","title":"Large Generative AI Models for Telecom: The Next Big Thing?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10249","snapshot_observed_at":"2026-08-07T15:09:35.076231Z","title":"Large Language Models for Telecom: The Next Big Thing?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.076231Z"},"links":{"cited_paper":"/paper/2306.10249","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:11a9bd3334f6a92fd4e5f0a91ebd2c7cec855e9a6dc14d4e26399c04332b0268","observation_id":"99aa2f07-9416-47cd-9e6a-62c9ccaa23b8","resolution":{"observed_at":"2026-08-07T15:09:35.076231Z","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":"2026-08-07T15:09:41.297421Z","title":"Beam Prediction based on Large Language Models,","venue":null,"work_id":"d360aa71-316d-4d7a-85bd-353acb3fd975","year":2025},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.191718Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:f7431ec2ba8a7b754b11b28aa428024b92bbbd03c46d834785ddc56d5c7c3df9","observation_id":"df79f9a5-b5b2-4b38-b6b1-21b96be0adbc","resolution":{"observed_at":"2026-08-07T15:09:41.432418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09857","last_updated":"2025-09-01T03:23:46Z","snapshot_observed_at":"2026-08-10T02:33:26.595363Z","submitted_at":"2025-02-14T01:44:57Z","title":"Port-LLM: A Port Prediction Method for Fluid Antenna based on Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09857","snapshot_observed_at":"2026-08-07T15:09:35.281468Z","title":"Port -LLM: A Port Prediction Method for Fluid Antenna based on Large Lang uage Models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.281468Z"},"links":{"cited_paper":"/paper/2502.09857","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:5b96f45b428fd10a2f0f2b33875c9da7517476f369a6edb9aa1fc05dd7721bcb","observation_id":"ae7e9b5f-b20a-483f-9514-3aa563dfe8f1","resolution":{"observed_at":"2026-08-07T15:09:35.281468Z","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":"2026-08-07T15:09:41.084749Z","title":"LLM-Augmented Deep R einforce- ment Learning for Dynamic O-RAN Network Slicing,","venue":null,"work_id":"a83243e7-c566-4c1a-9788-51045db636ff","year":null},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.367333Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:11ebec32b2114c89a3bd9bf0dec5df12554e095da9dd32a003642665c79f25aa","observation_id":"ed0a8d2c-77e0-4b44-b5ca-70dd6686aeaa","resolution":{"observed_at":"2026-08-07T15:09:41.174319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:40.927066Z","title":"LLM-xApp: A Large Language Model Empowered Radio Resource Management xApp fo r 5G O-RAN,","venue":null,"work_id":"5a7bf396-58a2-4228-a20b-bed0f9239e49","year":2025},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.445636Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:f27e7c00962cd58a1d6798b45f8de23b23f574725ba4f0dac601c64377887f28","observation_id":"cc5169d6-acf5-4dee-ab76-2800f63e1a8f","resolution":{"observed_at":"2026-08-07T15:09:41.005603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08640","last_updated":"2024-11-13T14:31:52Z","snapshot_observed_at":"2026-08-12T21:27:26.983690Z","submitted_at":"2024-11-13T14:31:52Z","title":"Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs","version":1},"cited_work":{"arxiv_id":"2411.08640","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.08640","snapshot_observed_at":"2026-08-07T15:09:38.270225Z","title":"Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs","venue":"cs.CR","work_id":"7265180f-1ff9-4bdb-9d9a-ca311bbafea7","year":2024},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.533855Z"},"links":{"cited_paper":"/paper/2411.08640","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:ee8c29cc45d4b6669f0174a7798c9984c2e2584becd1e301ab282ecbafb48f21","observation_id":"195ab6ca-9f6a-4007-b696-987b9a0a0612","resolution":{"observed_at":"2026-08-07T15:09:38.433555Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.08123","last_updated":"2025-03-11T07:38:14Z","snapshot_observed_at":"2026-08-07T17:14:05.258740Z","submitted_at":"2025-03-11T07:38:14Z","title":"LLM4MAC: An LLM-Driven Reinforcement Learning Framework for MAC Protocol Emergence","version":1},"cited_work":{"arxiv_id":"2503.08123","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.08123","snapshot_observed_at":"2026-08-07T15:09:37.985049Z","title":"LLM4MAC: An LLM-Driven Reinforcement Learning Framework for MAC Protocol Emergence","venue":"cs.NI","work_id":"41a5d214-4ab7-4de2-ac7b-a855f91bd586","year":2025},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.633813Z"},"links":{"cited_paper":"/paper/2503.08123","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:48387825280113a5ac2900c163ca37f87ff34119d9a73d2953d389f5309e910a","observation_id":"330ee65b-34b9-4888-9e42-cc5de15f4928","resolution":{"observed_at":"2026-08-07T15:09:38.097202Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:40.801599Z","title":"Multiagent Cooperation and Competition with Deep Reinforcement Learning,","venue":null,"work_id":"e94a5cf4-b155-4a95-a351-d2cc17926b52","year":2017},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.689614Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:c2db2c3bae1b9a8fcf330a08d4865d4de81eca7e3832b8b6861e99dae91dbb3c","observation_id":"c20bf0c3-4b48-48ea-892b-53256f1dbc48","resolution":{"observed_at":"2026-08-07T15:09:40.864339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:40.669525Z","title":null,"venue":null,"work_id":"3a6e9164-6e69-4c28-813e-76d9bd68726a","year":1999},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.781370Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:1330d21f1d1e25d0eccbca846dc866e7bcc579a4c142d006445606534fa2d72e","observation_id":"4f73ed51-6238-4d4d-8750-56fe1189814a","resolution":{"observed_at":"2026-08-07T15:09:40.741702Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.5602","last_updated":"2013-12-19T16:00:08Z","snapshot_observed_at":"2026-08-12T14:28:10.961989Z","submitted_at":"2013-12-19T16:00:08Z","title":"Playing Atari with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.5602","snapshot_observed_at":"2026-08-07T15:09:35.883290Z","title":"Playing Atari with Deep Reinforcement Learni ng,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.883290Z"},"links":{"cited_paper":"/paper/1312.5602","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:75f67009e83b6f7da526564a4a0d612ccc2b36b7ac9678a4c56e8d9781d6bfa1","observation_id":"3d328496-1d2d-49ff-846c-c01f7bef3ddb","resolution":{"observed_at":"2026-08-07T15:09:35.883290Z","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":"2026-08-07T15:09:40.521321Z","title":"Learning to Predict by the Methods of Temp oral Differ- ences,","venue":null,"work_id":"bd5c0957-0ea1-4387-8c13-256c2088669e","year":1988},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:35.978181Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:1b6e0b57b205b6974e7475a9666cfde9bb72d9baae75de30bc1d27855503a4ee","observation_id":"30124f34-15e0-4f85-82a0-b7b2e3afcf47","resolution":{"observed_at":"2026-08-07T15:09:40.580536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1509.02971","last_updated":"2019-07-05T10:47:27Z","snapshot_observed_at":"2026-07-06T04:29:24.362640Z","submitted_at":"2015-09-09T23:01:36Z","title":"Continuous control with deep reinforcement learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.02971","snapshot_observed_at":"2026-08-07T15:09:36.063944Z","title":"Continuous Control with Deep Reinforce ment Learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.063944Z"},"links":{"cited_paper":"/paper/1509.02971","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:1871b0156a11572ed3591e697bc7184457909b6c7db301f161ae6ee9dab1f728","observation_id":"49849623-1f1e-4103-b089-539a356100fb","resolution":{"observed_at":"2026-08-07T15:09:36.063944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20252","last_updated":"2025-04-15T06:19:06Z","snapshot_observed_at":"2026-08-12T23:53:58.325904Z","submitted_at":"2024-05-30T17:05:45Z","title":"Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20252","snapshot_observed_at":"2026-08-07T15:09:36.115861Z","title":"Toward s Hierarchical Multi-Agent Workﬂows for Zero-Shot Prompt Optimization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.115861Z"},"links":{"cited_paper":"/paper/2405.20252","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:ed38ced195c3e90e74e9e818d1dd0b5aea433ae94b06a6a50fd4637881e4b9ec","observation_id":"911552ce-b8c2-4981-a768-b755c66ef75c","resolution":{"observed_at":"2026-08-07T15:09:36.115861Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07496","last_updated":"2024-06-11T17:32:21Z","snapshot_observed_at":"2026-08-13T02:15:58.634561Z","submitted_at":"2024-06-11T17:32:21Z","title":"TextGrad: Automatic \"Differentiation\" via Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07496","snapshot_observed_at":"2026-08-07T15:09:36.201143Z","title":"TextGrad: Automatic “Differentiation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.201143Z"},"links":{"cited_paper":"/paper/2406.07496","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:686f6d4a62550cc8c5ea68a19ea33ffa5d45362f468ce072a2a2d1800a02d00e","observation_id":"987527d5-d83f-4c81-a7b6-324fa5ccd264","resolution":{"observed_at":"2026-08-07T15:09:36.201143Z","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":"2026-08-07T15:09:40.410975Z","title":"Understanding Telecom Language Through Large Language Mo dels,","venue":null,"work_id":"bc47d01e-e3c8-4201-bd05-bac93e1a4936","year":2023},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.249036Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:ebef33eb60d70e6aed9c03831f50046e4862ac5a21522d9f536a6de951220fe1","observation_id":"9224d592-ff5f-456a-b44a-212140c88dc4","resolution":{"observed_at":"2026-08-07T15:09:40.463378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10508","last_updated":"2025-02-19T22:37:08Z","snapshot_observed_at":"2026-08-13T05:52:35.368741Z","submitted_at":"2023-10-11T00:21:00Z","title":"Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10508","snapshot_observed_at":"2026-08-07T15:09:36.325336Z","title":"Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software E ngi- neering Tasks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.325336Z"},"links":{"cited_paper":"/paper/2310.10508","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:0a00dfdfbba304664d7e832bd57293764862b40ff5f682fc5906417348445e0e","observation_id":"6d3e0532-4d82-42b1-9006-bfcc5a769866","resolution":{"observed_at":"2026-08-07T15:09:36.325336Z","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":"2026-08-07T15:09:40.295219Z","title":"Towards Understanding Knowl edge Distil- lation,","venue":null,"work_id":"0f05d2ce-70ee-4439-b986-b24c470b4560","year":2019},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.374592Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:22fb2c3f91d92b76a70942c4e1c23a601154b688606b40137e34da92c8d3bf25","observation_id":"47d1c302-fa98-446d-9bb4-b8d95a48d2e4","resolution":{"observed_at":"2026-08-07T15:09:40.352914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13213","last_updated":"2025-08-07T01:33:12Z","snapshot_observed_at":"2026-08-13T04:14:19.187289Z","submitted_at":"2024-02-20T18:24:47Z","title":"Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13213","snapshot_observed_at":"2026-08-07T15:09:36.447956Z","title":"Softmax Probabiliti es (Mostly) Predict Large Language Model Correctness on Multiple-Choi ce Q&A,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.447956Z"},"links":{"cited_paper":"/paper/2402.13213","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:b33b86bb0e4f2f2b28c4ca3b6f038de275081d3fb6bacc78ec50e90917c11922","observation_id":"d77c015c-0fb6-4b89-81cc-ca57c5ff6e60","resolution":{"observed_at":"2026-08-07T15:09:36.447956Z","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":"2026-08-07T15:09:40.194637Z","title":"Born Again Neural Networks,","venue":null,"work_id":"a0fb8977-eeaf-4283-b7a0-50f989ffcf8d","year":2018},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.502284Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:9312dc651d1c1bdb3befb5c580025157718c656ca4a8a647d351f00deb330030","observation_id":"ee93df9f-0ef1-413a-979b-ae21313c5e15","resolution":{"observed_at":"2026-08-07T15:09:40.243949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:40.043510Z","title":"Design and Assessment Method ology for System Resilience Metrics,","venue":null,"work_id":"684352f4-f54e-49df-801d-94c3a2201db5","year":2019},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.588112Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:1c6f09add80074bfb03f2fc9c7f82b6709b1932cd24c8f58521fbd329587bc7f","observation_id":"69e26f51-8457-4a14-af2d-d35b440286be","resolution":{"observed_at":"2026-08-07T15:09:40.117619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:39.904568Z","title":"Modelling Communication Network Challenges for Future Internet Resilience, Survivability, and Disrup tion Tolerance: a Simulation-based Approach,","venue":null,"work_id":"effd01ae-adaf-44fe-8d39-3e16ecd46791","year":2013},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.668688Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:fabc54903708b50159c6a7ab8ffe8febba400e37884436935a74f7a11d306d31","observation_id":"8e3ecdf4-6e2e-472f-a21a-f2a84510970d","resolution":{"observed_at":"2026-08-07T15:09:39.980560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:39.773767Z","title":"Methodology for Assessing the Resilience of Networked Infrastructure,","venue":null,"work_id":"d84aa19a-8cc2-4bfe-ba58-d994fa4c1849","year":2009},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.735780Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:7cd94027ee2918622049f5ca12481cf6da13980f46f5b45199d9ff3ed3728d36","observation_id":"16306275-d61d-4adb-a099-8af949ca2da5","resolution":{"observed_at":"2026-08-07T15:09:39.841387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:39.643869Z","title":"Come back Kid: Resilience for Mixed-Critical Wireless Network Resource M anagement,","venue":null,"work_id":"8f071ed0-efbb-4478-818f-a959bc19ed5f","year":2023},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.848447Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:2d51ef1a8011b9f7cd3da277b8fb8f911e6b059be994c464fda3a7676a80e710","observation_id":"9cde44c8-88b5-40e0-824f-880057c57ee5","resolution":{"observed_at":"2026-08-07T15:09:39.703152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:39.483649Z","title":"A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities,","venue":null,"work_id":"df43da85-0d46-4456-bbb1-a26446b389e0","year":2003},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:36.975643Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:3f285833ad27211942fdeba5883684ab612f6286f5d84bd6869b363e49de0ec5","observation_id":"e23b642b-5c76-4d44-909b-dd94f513df1e","resolution":{"observed_at":"2026-08-07T15:09:39.558691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:39.330861Z","title":"Model-Agnostic Meta -Learning for Fast Adaptation of Deep Networks,","venue":null,"work_id":"54c4a88b-75e7-410b-a01b-1081b2a2ff67","year":2017},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:37.041105Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:8b5c714f4fef30047c30394ca2a7c8bfeb4a8afdad21b69720bd33bebb0d68ca","observation_id":"c5d1b6f7-298f-4c58-b306-8f71a4ea3534","resolution":{"observed_at":"2026-08-07T15:09:39.412470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T15:09:39.193891Z","title":"The Meta Distribution of the SIR in Poisson Bipolar and Cellular Networks,","venue":null,"work_id":"3cf3c620-c683-4a26-85e2-423f807dfb0f","year":2015},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:37.146012Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:5e07c6775ace6e1f84480395bd16a5395ba859cea68eb4273600f0487f736614","observation_id":"2f826990-5d14-4cc9-b5ea-6acf3efc0c07","resolution":{"observed_at":"2026-08-07T15:09:39.262435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.09578","last_updated":"2018-03-26T13:35:14Z","snapshot_observed_at":"2026-07-06T06:30:14.354676Z","submitted_at":"2018-03-26T13:35:14Z","title":"Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.09578","snapshot_observed_at":"2026-08-07T15:09:37.308592Z","title":"Why Comparing Single Perfo rmance Scores Does Not Allow to Draw Conclusions About Machine Lear ning Approaches,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:37.308592Z"},"links":{"cited_paper":"/paper/1803.09578","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:6907b0fd9f0c71519760c7ff57c95e30ab3b9197d40803dd92b6f0c2c2345257","observation_id":"59a61b77-c72b-4533-b250-50b79d2f5559","resolution":{"observed_at":"2026-08-07T15:09:37.308592Z","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":"2026-08-07T15:09:39.016345Z","title":"The Mann-Whitney U: A Test for Assessing Whether Two Independent Samples Come from the Same Distribution,","venue":null,"work_id":"2f0a89c3-83c9-402c-a39a-6c992ed71692","year":2008},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:37.500755Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:8427350ce3a1238085ec17d41aab9306262eac3f873060d8fceb7350c54b005b","observation_id":"a9612bea-ebc6-4d35-a5c5-3a7280ef3952","resolution":{"observed_at":"2026-08-07T15:09:39.092969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15166","last_updated":"2024-04-04T01:53:38Z","snapshot_observed_at":"2026-08-13T04:54:52.394295Z","submitted_at":"2023-12-23T05:11:37Z","title":"SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.15166","snapshot_observed_at":"2026-08-07T15:09:37.628409Z","title":"SOLAR 10.7B: Scaling Large Language Mod- els with Simple yet Effective Depth Up-Scaling,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:37.628409Z"},"links":{"cited_paper":"/paper/2312.15166","citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:7829b18e7109e31e2b982aa16aa7d4e422443bb151f0bd47fbf65f7324fdf865","observation_id":"a3c1da30-bbfd-4f14-8662-a686fbc5facc","resolution":{"observed_at":"2026-08-07T15:09:37.628409Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-07T15:09:38.852104Z","title":"Link Abstraction Models for Multicarrier Systems: A Logistic Regression Approach,","venue":null,"work_id":"c3b3ac75-58f3-42e5-ba3c-40248d0ac49c","year":2017},"citing_paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:37.746166Z"},"links":{"citing_paper":"/paper/2505.21518"},"observation_digest":"sha256:2360dbfb87fc636433aa58a1c4013b77213076b14dc664183e08382248d3da53","observation_id":"a1100a47-f3b4-46fc-945c-942b6e3582c1","resolution":{"observed_at":"2026-08-07T15:09:38.943733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.21518","last_updated":"2025-05-22T05:59:36Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-12T23:16:39.287686Z","submitted_at":"2025-05-22T05:59:36Z","title":"Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":3,"verified_fuzzy":24},"total_outbound_references":38},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2505.21518."}