{"as_of":"2026-08-21T19:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d2786fdd68f76b928b9b7129beab95da705770058c4ac9f00ff37556e0109aa4","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:24:48.743721Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T19:44:11.639335Z","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":"2026-07-03T19:48:53.618255Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"cited_work":{"arxiv_id":"2412.02538","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.02538","snapshot_observed_at":"2026-07-03T19:48:53.618255Z","title":"On P rivacy, Security, and Trustworthiness in Distributed Wireless Lar ge AI Models (WLAM),","venue":null,"work_id":"a8ac300c-9391-488c-a37c-333db3d4d3f3","year":2024},"citing_paper":{"arxiv_id":"2607.01300","last_updated":"2026-07-01T14:15:58Z","snapshot_observed_at":"2026-08-05T00:48:13.318243Z","submitted_at":"2026-07-01T14:15:58Z","title":"Alternating Optimization for Joint Resource Allocation in Full-Duplex Multi-Sector Fluid Antenna-Enabled Near-Field Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-03T19:44:11.639335Z"},"links":{"cited_paper":"/paper/2412.02538","citing_paper":"/paper/2607.01300"},"observation_digest":"sha256:79188589cdd89466957f48261ab492e2fc16cfbc54f54560adbca1971c6bf542","observation_id":"85b6c49b-2ac5-46c5-a176-85ac00059d08","resolution":{"observed_at":"2026-07-03T19:48:53.620061Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.02538/citation-record","integrity":"/paper/2412.02538/integrity","json":"/paper/2412.02538/citation-record.json","paper":"/paper/2412.02538"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:24:49.786772Z","title":"Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts,","venue":null,"work_id":"7459b9ea-65f8-4ae9-98ed-b73b43e033e9","year":2021},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.455414Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:68263450b7bbd649e2c5c6152d446a4547bdfda3407d257e2d13152fba6b64f1","observation_id":"9943408c-3bf7-4029-adfd-52dbb92f6129","resolution":{"observed_at":"2026-08-11T23:24:49.791720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.770509Z","title":"Artificial intelligence-powered decentralized framework for internet of things in healthcare 4.0,","venue":null,"work_id":"f0a65654-66ec-4d9a-8456-5597fd2d4f5d","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.460883Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:eb4211d4d0b080dd3b16995a4b357bca0543233e4c45020dbd63cf24be9f511e","observation_id":"9de224ab-6e5f-4ff2-a100-082238436c69","resolution":{"observed_at":"2026-08-11T23:24:49.776125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.753157Z","title":"AI empowered communication systems for intelligent transportation systems,","venue":null,"work_id":"eaaf732c-66fd-4cc0-b5e5-3cea34c68ffc","year":2021},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.465959Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:d7d86c5343b28613bad6eb7dd92427bba5f1e7a3c57d5a8d5ad4df9210906d83","observation_id":"de62e910-709a-4a1b-8538-e6007e3ab6ed","resolution":{"observed_at":"2026-08-11T23:24:49.758028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.737102Z","title":"Big AI models for 6G wireless networks: Opportunities, challenges, and research directions,","venue":null,"work_id":"2f0b7a59-0837-4737-ae07-bddc2288708e","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.470933Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:96c8207d907b34bdfb752abbd1d39722d921ca8623eaa3246afa3237dc5b6318","observation_id":"99adc0c4-a7aa-4ca2-ada0-17b2269abf3c","resolution":{"observed_at":"2026-08-11T23:24:49.742238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.721038Z","title":"Guest editorial: Sustainable big AI model for wireless networks,","venue":null,"work_id":"b43faae9-25da-41af-88c4-a6897992c371","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.476080Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:b3880ecbeda7c5e9d6c6eca266ac797c1c3cefe232a9993f2e35c3610422db61","observation_id":"b611be19-f028-40a8-9953-55de0c867b0d","resolution":{"observed_at":"2026-08-11T23:24:49.726066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.706029Z","title":"Implementation of big AI models for wireless networks with collaborative edge computing,","venue":null,"work_id":"55fe442e-2a37-475c-b16e-bf56d39c17f2","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.480989Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:40ed551c72e4d83cb933bd97e94f50bb921ebd04229ff4a8615802c4f0c94297","observation_id":"d6f9c16e-49de-410d-b75f-2d7c8676a1ae","resolution":{"observed_at":"2026-08-11T23:24:49.711011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.690078Z","title":"A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications,","venue":null,"work_id":"55352d14-fd6f-4c3e-aa6e-aecb264d8328","year":2017},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.486274Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:fb84cf3559d388b2698f3dc9e1145f75b33d070d8b504eafbd7f46d03a9f1a42","observation_id":"289f89d6-570e-476d-bd80-0e3d6f6dbc08","resolution":{"observed_at":"2026-08-11T23:24:49.695895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.491485Z","title":"Federated learning with differential privacy: Algorithms and performance analysis,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.491485Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:7314d0711157104a798a2b4a54d192d166a7f7948c7f2bee40391eb22d6e8a49","observation_id":"7183ffe6-5b9b-4080-9d98-cd1eeeff6c0c","resolution":{"observed_at":"2026-08-11T23:24:48.491485Z","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":"2026-08-11T23:24:49.664011Z","title":"Binarizing split learning for data privacy enhancement and computation reduction,","venue":null,"work_id":"e4ac84c9-3f3a-487b-9dab-a4bcf0cadca5","year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.496193Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:046ec55a58cd4f08e5722e100345b9cc639624aa7f0109ae66441257318834a6","observation_id":"0e9bc703-cf51-43c2-ae56-fc1e101330e5","resolution":{"observed_at":"2026-08-11T23:24:49.668963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.648860Z","title":"Ethical framework for artificial intelligence and digital technologies,","venue":null,"work_id":"1048f1d5-d428-4a8c-a83a-fc25059fb35c","year":2022},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.500792Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:63fd0f639e76362c0ad2d63593456d47556b98876325d0240b460fb1d11884cd","observation_id":"887eb0c5-7502-4073-8311-087f1f5f2ac3","resolution":{"observed_at":"2026-08-11T23:24:49.653792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.505467Z","title":"A joint learning and communications framework for federated learning over wireless networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.505467Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:2cf8904524d36bb0a49a7396e518c55819dbf390e4661c710a8e66c3a57f8135","observation_id":"a410dc81-9b10-4b37-b8ca-494248ed783a","resolution":{"observed_at":"2026-08-11T23:24:48.505467Z","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":"2026-08-11T23:24:49.622982Z","title":"Federated learning for 6G: Applications, challenges, and opportunities,","venue":null,"work_id":"538330cf-62f5-43b5-9315-a963ac70516e","year":2022},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.510739Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:e9658065f4a9371c31d782c5e3b32c713db8cb84567a6632d2efd13c7864e574","observation_id":"17592c50-97cc-4c75-99a9-31c20427ff4e","resolution":{"observed_at":"2026-08-11T23:24:49.628442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.604375Z","title":"Joint communication and learn- ing design of differential privacy for federated learning over multi-cell networks,","venue":null,"work_id":"15330778-86d9-4f04-8512-a2b523ec2ad5","year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.515210Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:d3f1b47565a662ec45f16d93ff435e8a6e91030e36ac057b74d8f936ba787afd","observation_id":"c033565d-3ad8-4ac1-b847-06691a7064e6","resolution":{"observed_at":"2026-08-11T23:24:49.610377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.587101Z","title":"SplitFed: When federated learning meets split learning,","venue":null,"work_id":"d332afef-229d-4014-9645-ef2b17858f73","year":2022},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.519852Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:9079576a236e9b8784c26b3717020f0fb7cd2ee47f47c63bd6989649a9608919","observation_id":"73d25961-b674-4091-9a71-a28ec9353e0a","resolution":{"observed_at":"2026-08-11T23:24:49.592871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.570859Z","title":"Unleashing the tiger: Inference attacks on split learning,","venue":null,"work_id":"02000d15-7ebd-4dee-b695-d0d7b0b1318f","year":2021},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.524377Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:aa874edd950f3963d6774a7dd568a47b52034a6550175e24d24ff300d9ae9c6a","observation_id":"7314b5ef-cedf-4883-93c0-a6b163d4d767","resolution":{"observed_at":"2026-08-11T23:24:49.576218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.555554Z","title":"Energy efficient federated learning over wireless communication networks,","venue":null,"work_id":"a2924da5-19fb-43cf-a17c-4fb201b30433","year":1935},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.529137Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:3a7c49b56c738ae35d2a1e74c2f7d6cb6a717ccc55c76c09b9dfbb642eb59430","observation_id":"6ae7317a-b92e-4300-9488-a2172adcbba2","resolution":{"observed_at":"2026-08-11T23:24:49.560439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.539404Z","title":"Privacy protection in intelligent vehicle networking: A novel federated learning algorithm based on information fusion,","venue":null,"work_id":"cfe65f0b-462b-457f-ae50-c263292bae4c","year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.534033Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:f62fa7cd81afcb04646ca8704e2f2b04d2e56c68916c9cd7f9cb1b8cec392ff5","observation_id":"06bf10b0-a022-41de-97e8-2e87cf931748","resolution":{"observed_at":"2026-08-11T23:24:49.545012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.538762Z","title":"Joint privacy en- hancement and quantization in federated learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.538762Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:15d4ffae0596cd9e48e8291f9074843f63bd3314c6693dfd0e386edf6a8792b2","observation_id":"43bc75a1-5168-4fa5-acb2-c9ace9abd55e","resolution":{"observed_at":"2026-08-11T23:24:48.538762Z","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":"2026-08-11T23:24:49.513750Z","title":"Privacy-encoded federated learning against gradient-based data reconstruction attacks,","venue":null,"work_id":"3a768b57-4eed-4c2a-af37-ed1268f19e81","year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.543557Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:e6787a26ce8f5cbb05020141965dd85805516a3f03ea5df9c8645bf8d5c18af0","observation_id":"1ea8d369-08d9-44bf-8268-ef6e7c92c8b9","resolution":{"observed_at":"2026-08-11T23:24:49.518917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.548189Z","title":"Secure federated learning with fully homomorphic encryption for iot communications,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.548189Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:9799fadf89feaa321fa8ca5be9f45e7cc680ee798f22b1521cf8435af82574ed","observation_id":"9e9b8918-4018-46d9-abe3-4691a2d20283","resolution":{"observed_at":"2026-08-11T23:24:48.548189Z","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":"2026-08-11T23:24:49.487416Z","title":"The semantic communication game,","venue":null,"work_id":"a89351dc-5a8e-4cf9-8833-28be64a8439c","year":2018},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.552689Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:56bdac578cd5c97ff22c82887fc8a05237be3a3e5af0961fbc71347f7bf9de95","observation_id":"85ef880c-f55f-4972-ad82-70454286383b","resolution":{"observed_at":"2026-08-11T23:24:49.492315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.469618Z","title":"A joint communication and computation design for semantic wireless communication with probability graph,","venue":null,"work_id":"9db58ecf-c938-4636-9256-f4c0b85cdedc","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.557049Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:7f8d92fd4a58ae28acfec9098d66c97982965ba8f671d40e9e9dfa41f4c40b34","observation_id":"b5422529-3640-4967-8787-d087c28e250e","resolution":{"observed_at":"2026-08-11T23:24:49.475993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.452354Z","title":"Toward semantic communications: Deep learning-based image semantic coding,","venue":null,"work_id":"58515c46-b6dc-42d3-ae6d-cb961743b4f5","year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.561343Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:c35a3dc1c9a47cadff40e990055f4196e21df35599b0e1123bd1c6bf3dcc1310","observation_id":"33e5f755-c0a5-41d0-8f0d-5f11da9df2b0","resolution":{"observed_at":"2026-08-11T23:24:49.457567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.436649Z","title":"Representation and fusion based on knowledge graph in multi-modal semantic communication,","venue":null,"work_id":"adc8cb3f-ef3b-4646-8861-d1a209dc59cb","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.566001Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:741362b3130801e0e5b058853329163747c10df34228307b8c4255ca4da1d947","observation_id":"a8bc835c-f6d7-4658-adc0-2ee65ef4ac65","resolution":{"observed_at":"2026-08-11T23:24:49.441761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.420871Z","title":"Semantic communication system based on semantic slice models propagation,","venue":null,"work_id":"1c43766d-cb87-4dc2-a0f7-dfb4a3736c4d","year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.570805Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:4832ea9a3c9b01edfc92db002a5f1c8e3f6c9872b963970be3bb814449cc9a9e","observation_id":"5b750797-c4b5-473e-9a43-c78b2e9abf47","resolution":{"observed_at":"2026-08-11T23:24:49.426130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.404825Z","title":"Joint urllc traffic scheduling and resource allocation for semantic communication systems,","venue":null,"work_id":"1027efdb-fdc5-4749-9a62-36ebab65a866","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.575583Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:5dce2d96b4811a9aaa402f5f1cc28012800b9a0ef778154c2aaec2a58a030944","observation_id":"3aca3b55-90de-414f-bb62-b24e3fbaf57e","resolution":{"observed_at":"2026-08-11T23:24:49.410132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.389380Z","title":"A joint communication and computation design for distributed RISs assisted probabilistic semantic communication in IIoT,","venue":null,"work_id":"019e40f8-c95e-494c-8644-757b74da3e45","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.580735Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:838cad850d4a73faa429684c1a8200616af2d59227f24ad048bc11a35d9d8ba9","observation_id":"bfc71acf-2189-4ad6-b941-d0f72ecf1802","resolution":{"observed_at":"2026-08-11T23:24:49.394545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.585872Z","title":"Deep learning enabled semantic communication systems,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.585872Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:968668cdc45f5a10706689e6058e72b37d9462e5dd22a2b8d1a1211f6bf9c064","observation_id":"152c8728-22ef-4068-b34a-ffd27ff51165","resolution":{"observed_at":"2026-08-11T23:24:48.585872Z","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":"2026-08-11T23:24:49.362752Z","title":"Wireless image re- trieval at the edge,","venue":null,"work_id":"8344ef37-6194-4a73-aab5-cae6935043de","year":2020},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.590646Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:7681d06afc4dda87df0b8f51f5f77df1c98eb240c9864bfd52b69944cb8b88b9","observation_id":"7d8b5613-775e-43ff-b98b-79029178b36c","resolution":{"observed_at":"2026-08-11T23:24:49.367789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.346254Z","title":"Deep learning- enabled semantic communication systems with task-unaware transmitter and dynamic data,","venue":null,"work_id":"dd0f055b-086c-40f4-8fd0-c71b894e1980","year":2022},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.595108Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:f3532ca1fb677ad7ee99710e3bd0954af578ab35930e3ff0a124c3dfae83ad71","observation_id":"10cdd04b-522f-4b43-9a1d-031e2b7bc1d7","resolution":{"observed_at":"2026-08-11T23:24:49.351891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.599594Z","title":"Semantic communication meets edge intelligence,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.599594Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:43ef4fdf60294e4c9b4416db7aad002b3cabb216e67a78e27c706a358c563f4d","observation_id":"634c699b-6401-466b-873a-4237bdca378f","resolution":{"observed_at":"2026-08-11T23:24:48.599594Z","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":"2026-08-11T23:24:48.603976Z","title":"Energy efficient semantic communication over wireless networks with rate splitting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.603976Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:4ac59d549cc994c4aac353b69aa577b62d2514758b4c72a0a2ad847834dcafd6","observation_id":"84847890-1e98-4350-84fb-59c859d393ab","resolution":{"observed_at":"2026-08-11T23:24:48.603976Z","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":"2026-08-11T23:24:49.308433Z","title":"A joint communication and computation design for probabilistic semantic com- munications,","venue":null,"work_id":"dbb03a6a-a65e-4718-a91a-d6cbaf7f9527","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.608870Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:a3b4db2f38bc0058d099236698a9c88282886b27e2d91bee7624bb431bf87a8c","observation_id":"e2002f1c-d5c0-4ffe-a558-423a5a90f065","resolution":{"observed_at":"2026-08-11T23:24:49.313381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.613564Z","title":"Learning task-oriented communication for edge inference: An information bottleneck approach,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.613564Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:9eb466d83c403fee344ebc740eb8d7274aac86eb565de9c28c9a09eedcca4149","observation_id":"84f690ef-51ff-4e31-b036-1bc3185951b4","resolution":{"observed_at":"2026-08-11T23:24:48.613564Z","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":"2026-08-11T23:24:48.618049Z","title":"Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.618049Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:43217cc2b33d0c19be9a86c894bd7bddbabb1ea12340b5cfc186f886768a73b6","observation_id":"25b79a1c-9ee7-43f8-8cdb-249dbcb38be6","resolution":{"observed_at":"2026-08-11T23:24:48.618049Z","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":"2026-08-11T23:24:49.272279Z","title":"The information bottleneck method,","venue":null,"work_id":"4f587b98-0b77-4d92-9677-3251211de98b","year":1999},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.623654Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:7a626c82f038b38c5cad05e96511f2985bd21caab92eeef8e7d6e58926c4239b","observation_id":"18f7a43b-68c7-44a7-a399-bd0ae6a22c32","resolution":{"observed_at":"2026-08-11T23:24:49.277482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.254318Z","title":"Semantic importance-aware communications using pre-trained language models,","venue":null,"work_id":"520c8d6c-01d2-419c-9730-cc9a95d0a399","year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.628416Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:9909daf678cd283d1e0714d0731e21d2dabddb649c4b7838dfc7ae6fcd720d22","observation_id":"ca809411-cf36-4ee0-8171-f6b2eec4b0cf","resolution":{"observed_at":"2026-08-11T23:24:49.260830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11656","last_updated":"2024-06-28T23:00:45Z","snapshot_observed_at":"2026-08-16T14:17:34.675960Z","submitted_at":"2024-02-18T17:27:51Z","title":"Integrating Pre-Trained Language Model with Physical Layer Communications","version":2},"cited_work":{"arxiv_id":"2402.11656","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.11656","snapshot_observed_at":"2026-08-11T23:24:48.924902Z","title":"Integrating Pre-Trained Language Model with Physical Layer Communications","venue":"cs.IT","work_id":"05f69144-6dd9-4fe3-b7cd-641d53cc7eea","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.632924Z"},"links":{"cited_paper":"/paper/2402.11656","citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:bfca61eca1aea4b29bb77023d8066c3f2675b7a269966da50a02999166e38628","observation_id":"bd2297da-190f-47d8-835c-b3b476518d5d","resolution":{"observed_at":"2026-08-11T23:24:48.933026Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.237018Z","title":"From semantic communication to semantic-aware networking: Model, architecture, and open problems,","venue":null,"work_id":"ad77ec6e-299c-44f7-9f5b-5ceb1684a83b","year":2021},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.638244Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:c66b5c84b7d3f6c29fc3604f8f1403d193b79d4d81c82ef23c3d26928144568f","observation_id":"999f98b8-8d51-4ee9-96bd-56069f80b613","resolution":{"observed_at":"2026-08-11T23:24:49.242447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.642847Z","title":"Semantic communications: Overview, open issues, and future research directions,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.642847Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:0db5aca8f1488ff4cc23a0d9caca1219e09193ba813b6b499a12980a07d97eda","observation_id":"ea45f6ec-9ae1-40ea-a191-893df6cf302a","resolution":{"observed_at":"2026-08-11T23:24:48.642847Z","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":"2026-08-11T23:24:49.209416Z","title":"Secure semantic communications: Fundamentals and challenges,","venue":null,"work_id":"ad2d00fa-0559-4bfd-a744-8efd85b7b529","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.647238Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:df9cab05f00b0921903a9bde12f6cffc9a1471d13577744981f80340aee15d9c","observation_id":"a1a70757-c29e-427e-a03c-f301fc2877d1","resolution":{"observed_at":"2026-08-11T23:24:49.215556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.651963Z","title":"A unified multi- task semantic communication system for multimodal data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.651963Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:b4eb88a344967196a2c14eda51310817230d29a6663b274ba650706914ec116d","observation_id":"8cd8627b-66d3-462d-89e5-d760115d2ea2","resolution":{"observed_at":"2026-08-11T23:24:48.651963Z","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":"2026-08-11T23:24:48.656642Z","title":"Multi-modal fusion- based multi-task semantic communication system,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.656642Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:a498177bb9f68337e7d8fa0cfbe173ed9d8712230de106f3ae124207c137d5ae","observation_id":"dfa6fae4-2351-48f4-8200-cf8c67529138","resolution":{"observed_at":"2026-08-11T23:24:48.656642Z","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":"2026-08-11T23:24:49.180880Z","title":"Multimodal and multiuser semantic communications for channel-level information fusion,","venue":null,"work_id":"8a8e4531-48ce-460c-9c51-593bfc365c3d","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.662006Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:612ebcdb7bf890e0e453263841442cba9316777e49965e31b3907866d2a57d07","observation_id":"9670ab18-e3c0-4d17-a7dd-c6a5aa23c518","resolution":{"observed_at":"2026-08-11T23:24:49.186896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01249","last_updated":"2024-08-04T12:34:29Z","snapshot_observed_at":"2026-08-17T07:41:44.234136Z","submitted_at":"2023-09-03T19:24:34Z","title":"Large AI Model Empowered Multimodal Semantic Communications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01249","snapshot_observed_at":"2026-08-11T23:24:48.667601Z","title":"Large ai model empowered multimodal semantic communications,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.667601Z"},"links":{"cited_paper":"/paper/2309.01249","citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:891fc41448be3b996b7e0b6f60c806a983855a0241dc6f139c2a82c074c83bf1","observation_id":"d8f355c7-38aa-48f3-8248-49a0b2e98aca","resolution":{"observed_at":"2026-08-11T23:24:48.667601Z","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":"2026-08-11T23:24:49.159763Z","title":"Blockchain and artificial intelligence for 5G-enabled Internet of Things: Challenges, opportunities, and solutions,","venue":null,"work_id":"7adaa390-2127-4036-9a17-781a252a61cf","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.673183Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:2dccabf86ee12c38868f178b023767195b77560567a231975051f8f5ba8029ca","observation_id":"6821a179-a8a7-490e-95b5-d0511d841e83","resolution":{"observed_at":"2026-08-11T23:24:49.165139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.143307Z","title":"Blockchain and artificial intelligence for dynamic resource sharing in 6G and beyond,","venue":null,"work_id":"58069e48-57ab-4446-9304-e958a4dca84c","year":2021},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.678324Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:16fe1db3ac7ed967ea59e5adc90cd2420fdb7e7073c510241a22fb01272e72bc","observation_id":"1ee60807-5a69-4196-a073-cf796629bddc","resolution":{"observed_at":"2026-08-11T23:24:49.148899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.127454Z","title":"AI and blockchain enabled future wireless networks: A survey and outlook,","venue":null,"work_id":"d942920d-7d9a-46f0-9220-e0d74b924c08","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.685302Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:8f571b92757ccbe5a5bdcce41f0bc28de04f5d9eaa284d2f5c77f9fd33468a97","observation_id":"5ef8da79-95df-423e-a81b-e75138bbccc3","resolution":{"observed_at":"2026-08-11T23:24:49.132542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.111370Z","title":"A survey of blockchain and artificial intelligence for 6G wireless communications,","venue":null,"work_id":"bb0639e4-9fee-484c-9248-3f8229fbee3f","year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.691838Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:c2f9e266a8d2eb7caffb52c3c096c839ea8f20f3cb816419ea6e7fd9fd0b7a04","observation_id":"7191c091-495c-476b-860d-20ced246998f","resolution":{"observed_at":"2026-08-11T23:24:49.116759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.095060Z","title":null,"venue":null,"work_id":"24b0ddff-390e-48e8-a409-a7d6987dc6f0","year":2007},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.696977Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:8f4b8d268eeba471e12e6cee01a133d79e1ab4162bc9d05739f5dc584d2eb18f","observation_id":"a30743c8-9135-4cb8-bd85-2ccd27213537","resolution":{"observed_at":"2026-08-11T23:24:49.100179Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.701992Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.701992Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:a1338cd131a6a4f18d298615322eed1b71a655a90a6542c6b7d05d021b3a2d63","observation_id":"51f53391-ab84-4a4f-b3de-bfb7551c7021","resolution":{"observed_at":"2026-08-11T23:24:48.701992Z","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":"2026-08-11T23:24:49.057367Z","title":null,"venue":null,"work_id":"2917db08-5de8-43c6-bb19-6112e08ff4a8","year":2007},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.707465Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:49d106843ce599839243554321851400becd0f3d3dba682dee4b7e7841b8c508","observation_id":"56ce09ed-4ff2-44c6-812b-bdec262012b4","resolution":{"observed_at":"2026-08-11T23:24:49.072911Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.041957Z","title":"Reconfiguring wireless environments 12 via intelligent surfaces for 6G: Reflection, modulation, and security,","venue":null,"work_id":"b3d475e3-b88a-433e-a732-10b2c2e0a83b","year":2023},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.713669Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:9107a01e36ca18dfa9eca831be413320c59db230cf16dbf9d74b31c07f3090da","observation_id":"2e2fb15d-98ad-4552-a809-93885e655ae7","resolution":{"observed_at":"2026-08-11T23:24:49.046876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.026468Z","title":"Waveforming: An overview with beamforming,","venue":null,"work_id":"f39321bd-8b12-4ae0-a04b-bd55ddeb1023","year":2018},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.719048Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:2938c8f04a4a3078717f1828422d65bcf61909c8d6ec0d6536a97ea78aa52e4e","observation_id":"38716043-f45a-47e5-aff0-398e96f12e7e","resolution":{"observed_at":"2026-08-11T23:24:49.031543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:49.009046Z","title":"Information security aspects of spread spectrum systems,","venue":null,"work_id":"a43967df-fde3-41cc-84ce-f8fb1e62221e","year":1995},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.724118Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:b82cc81511aa5ed7d5c9c9e3c1fc4881d470304fac29a9c308a30862a94eb79e","observation_id":"d5cae889-9bf7-4d34-b707-d80a7c6818d8","resolution":{"observed_at":"2026-08-11T23:24:49.014850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.992901Z","title":"Obfuscation revealed: Leveraging electromagnetic signals for obfuscated malware classification,","venue":null,"work_id":"ae7335d0-c03c-4fb3-8ea3-84d8ba9a1d1d","year":2021},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.729031Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:a7f4ad987cc32b5e1905a0fe21b9c020a565b704d9408272fa28ab7ad4067a62","observation_id":"ff64625f-6c42-4b23-b74c-7efefa5f22a9","resolution":{"observed_at":"2026-08-11T23:24:48.998093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.976530Z","title":"Multi-antenna signal masking and round-trip transmission for privacy-preserving wireless sensing,","venue":null,"work_id":"b0b91fe9-9151-4b74-9441-23d93549450e","year":2024},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.733612Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:b26c34fb6e06fb0656d9e46dd5d551d0903d176125cda439478de5a4216dbff3","observation_id":"2183c9d0-b407-41b9-94c7-0796f52034e3","resolution":{"observed_at":"2026-08-11T23:24:48.981900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.960189Z","title":"Deep learning with differential privacy,","venue":null,"work_id":"06f3c636-eda9-4d11-ac3c-cd58b5d73d2a","year":2016},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.738487Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:fce4e85e472f127fa23d2c8d36e863215534374f347ff6581a7df931d17389bb","observation_id":"33e2eda7-5c72-4063-8a0b-368a385b3175","resolution":{"observed_at":"2026-08-11T23:24:48.965086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T23:24:48.944694Z","title":"Wireless security through RF fingerprint- ing,","venue":null,"work_id":"512df3ab-e705-473d-9c13-8f5dabc674ce","year":2007},"citing_paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:48.743721Z"},"links":{"citing_paper":"/paper/2412.02538"},"observation_digest":"sha256:f084c552e8f1d7963e1bb256c09f0ae91a2d09cd624c6cbe0b28382a1596ea60","observation_id":"cd0b2acf-00fb-492e-b171-79461d5e287a","resolution":{"observed_at":"2026-08-11T23:24:48.949875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.02538","last_updated":"2024-12-04T07:11:07Z","latest_version":2,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-15T13:30:51.521223Z","submitted_at":"2024-12-03T16:32:19Z","title":"On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":1,"verified_fuzzy":42},"total_outbound_references":59},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2412.02538."}