{"as_of":"2026-08-09T16:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:25702e7002f2c634e4d11b5ea83b7d1f4c1c02aee9b7396456715081304890be","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:40:02.874391Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.15386/citation-record","integrity":"/paper/2507.15386/integrity","json":"/paper/2507.15386/citation-record.json","paper":"/paper/2507.15386"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:40:04.987545Z","title":"SRCON: A data-driven network performance simulator for real-world wireless networks,","venue":null,"work_id":"4c252969-ba91-4586-96f6-ef043bd8a588","year":2023},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:58.887914Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:13bc47bf62d936fcd7ceb590b9f9aa8c9f961164b0595b9567556e038b5b273e","observation_id":"6f4750ce-b05c-4211-b497-7650d8f25f17","resolution":{"observed_at":"2026-08-06T15:40:04.992575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.971089Z","title":"A survey of recent advances in optimization methods for wireless communications,","venue":null,"work_id":"0ce9d930-5651-4a6b-9799-2898bd11340c","year":2024},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.001326Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:b247dab042168ce217a23fc687ac15046c3e31a432f98c39c5af3d46ce3b8ae3","observation_id":"0d15049d-917b-4661-899e-cfbf19af78aa","resolution":{"observed_at":"2026-08-06T15:40:04.976505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07611","last_updated":"2025-05-16T05:02:55Z","snapshot_observed_at":"2026-07-06T19:30:56.585110Z","submitted_at":"2024-10-10T04:54:48Z","title":"Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07611","snapshot_observed_at":"2026-08-06T15:39:59.137414Z","title":"Parallel digital twin-driven deep rein- forcement learning for user association and load balancing in dynamic wireless networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.137414Z"},"links":{"cited_paper":"/paper/2410.07611","citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:e49a6ef7927206d4d1122b90a698a074704c2643e10628a135d113799ba5eb2b","observation_id":"4db860d9-2723-4791-8955-a2efbd19ff70","resolution":{"observed_at":"2026-08-06T15:39:59.137414Z","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":"2026-08-06T15:40:04.953555Z","title":"Multi-grid-based localized statistical channel modeling: A radio map approach,","venue":null,"work_id":"728dc7bf-c61d-49a9-b1e6-b89347373eeb","year":2022},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.289273Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:58eb9a9c7ceaa5f8106354c8ee5cc0ac427820494e7de6dd7d06eddf39d01345","observation_id":"820763eb-d4fb-4eee-b54d-cd6f1c21bcf9","resolution":{"observed_at":"2026-08-06T15:40:04.959778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.935238Z","title":"A physics-based and data-driven approach for localized statistical channel modeling,","venue":null,"work_id":"b471f98f-6199-4d32-902f-c8b870796cf1","year":2024},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.354192Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:d7ea56d9e28b98e1c5f099e90c87091d6e9008de5246fa8d115ceb26d39ef9ad","observation_id":"3b836bd1-4704-4c00-8064-13fb0cadbada","resolution":{"observed_at":"2026-08-06T15:40:04.940260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.918029Z","title":"FedLoc: Federated learning framework for data-driven cooperative localization and location data processing,","venue":null,"work_id":"8c29a71e-4426-4a36-b6ba-35ea55889281","year":2020},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.445842Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:0ead2fda80e03db2c19a7eab788a5ca8ebd99ab3bebe88ec18516c5073e4b852","observation_id":"7957056a-d405-4b04-a262-faa0955f4691","resolution":{"observed_at":"2026-08-06T15:40:04.923003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.900564Z","title":"NR; Requirements for Support of Radio Resource Manage- ment,","venue":null,"work_id":"0a4d749c-03e1-4835-8c95-1adf2c5546ca","year":2024},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.566072Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:9d202df55e50ef4230d0cc46a936326b79a7cd5e7a440ce02aaff074b3073362","observation_id":"1335ae88-b2de-4df2-b40f-808d314708f4","resolution":{"observed_at":"2026-08-06T15:40:04.906412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.881600Z","title":"Spatial partitioning method, apparatus, device, medium, and program product,","venue":null,"work_id":"e1335fc7-64db-4e1d-b110-9f56ba598505","year":2022},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.723925Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:245a68f6fdf547c5b67a55cb141a5c2921f1d29ec513cb46c5a0f4bbb61ce32f","observation_id":"d2cd55eb-9abd-459e-8eb0-2897d0436d1d","resolution":{"observed_at":"2026-08-06T15:40:04.887047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.860473Z","title":"Neural discrete representation learning,","venue":null,"work_id":"96f72d2a-84e7-4c8e-85ea-8e2eda15c765","year":2017},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.806149Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:f5b28769cc71856888e92e770d791d0ff213587b41634264a6b04dad1f41a561","observation_id":"401e2bac-14e8-4c5e-ba16-03bdac589f97","resolution":{"observed_at":"2026-08-06T15:40:04.869288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.843267Z","title":"Zero-shot text-to-image generation,","venue":null,"work_id":"7dcaeea0-6a7c-413f-ac0f-421c80c0e765","year":2021},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.892490Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:2644229b3068d4e2c887cb90a0d67dee34b20147738587293d409dd1b6c44a83","observation_id":"43fae8cc-2d45-4728-8666-b3dd62841274","resolution":{"observed_at":"2026-08-06T15:40:04.848480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00341","last_updated":"2020-04-30T09:02:45Z","snapshot_observed_at":"2026-08-06T03:57:57.420510Z","submitted_at":"2020-04-30T09:02:45Z","title":"Jukebox: A Generative Model for Music","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00341","snapshot_observed_at":"2026-08-06T15:39:59.972913Z","title":"Jukebox: A generative model for music,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:59.972913Z"},"links":{"cited_paper":"/paper/2005.00341","citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:8ade06ade3c083c328ab1effa601c3e9a1ed0715f45d37f314316d1086205fe2","observation_id":"e02304ba-a57f-4567-bca9-dd6331b7986e","resolution":{"observed_at":"2026-08-06T15:39:59.972913Z","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":"2026-08-06T15:40:04.821517Z","title":"Tokenflow: Unified image tokenizer for multi- modal understanding and generation,","venue":null,"work_id":"f93905a9-90e8-4567-a6f7-7fde20d59ea0","year":2025},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:00.078708Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:45f5eb883caf506c702180ece5e57936c6ebced217371592722e685ab60b4b6b","observation_id":"f6068ab3-5b25-45c0-b42f-1985466b6718","resolution":{"observed_at":"2026-08-06T15:40:04.831289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.802581Z","title":"VQ-V AE empowered wireless commu- nication for joint source-channel coding and beyond,","venue":null,"work_id":"5ac45832-0e55-4483-b0ce-618f40879d90","year":2023},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:00.175625Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:d8de318916b95c891a497fdb9ba2fe345eba9b85a5fa29cab113f7097212c30f","observation_id":"bee98988-8ffd-4508-9829-caef537bc4d1","resolution":{"observed_at":"2026-08-06T15:40:04.808996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.782393Z","title":"Cox, An Introduction to 5G: The New Radio, 5G Network and Beyond","venue":null,"work_id":"6722aae8-3588-4191-8298-a9723b3e946e","year":2020},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:00.272867Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:f06dc5e144230e2ff2218c9e2c48937c4415e6b701f29a832fd5cccad5aedd67","observation_id":"34670f1f-a38c-4636-8119-f4847a8e5724","resolution":{"observed_at":"2026-08-06T15:40:04.788931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.760648Z","title":"Tse and P","venue":null,"work_id":"8b5ad8a9-2175-4faa-bbd1-8d2f6f99b830","year":2005},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:00.437875Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:3d968fd2692aacc609b7a0245fbe8f04c00d8f9f7a83b5a08a1424d5a89725d7","observation_id":"5da7df29-5622-4f99-82f3-8ea8b26c8b51","resolution":{"observed_at":"2026-08-06T15:40:04.766830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.738188Z","title":"Study on Channel Model for Frequencies from 0.5 to 100 GHz,","venue":null,"work_id":"949d9231-0763-4697-af20-0e5cc8da100a","year":2024},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:00.584063Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:ea86353c998d658cce2db633c34caf2143d93074b5ef03de012a94ddb8ace2f1","observation_id":"c7ab2c09-7c79-4548-a383-49b45aaea07f","resolution":{"observed_at":"2026-08-06T15:40:04.746155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.716481Z","title":null,"venue":null,"work_id":"6ce4f194-805c-49c4-8f28-b01e68500672","year":2016},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:00.676733Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:6cfeb42dc0c451c134ab562716b4fca0ba582e9a6425349f000b96a8f01c3cae","observation_id":"6fc40651-e50f-49e4-880e-64bf830dd16e","resolution":{"observed_at":"2026-08-06T15:40:04.722864Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.693514Z","title":"Inexact block coordinate descent algorithms for nonsmooth nonconvex optimization,","venue":null,"work_id":"63e0ddf7-a36f-418b-a176-a18e7ed3f8bd","year":2019},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:00.731447Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:1ff896a2cdbbb246862ddbe66a769dd62ddee0749d4b6b1ab212f4c79ba8b525","observation_id":"00785b1b-3b48-4440-b1e7-43e444451743","resolution":{"observed_at":"2026-08-06T15:40:04.699119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.674681Z","title":"Proximal algorithms,","venue":null,"work_id":"b50f225f-ba4e-4dba-9835-46425d571349","year":2014},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:00.902280Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:9f1688993c281481c436e9b81b968a19d7d9df0969c05caa5f9a5f9bb0bf0605","observation_id":"4d409996-789f-446a-b97c-3b298d4d1b34","resolution":{"observed_at":"2026-08-06T15:40:04.680325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.650182Z","title":null,"venue":null,"work_id":"940fed74-46be-4f7d-9ce8-d857dd87248d","year":2017},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.015196Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:b819d57225ffcda686dc88491714eea23077d9ca4d7c70c2e85a3e8883418938","observation_id":"6c9afe6c-0ae9-4fa6-bd30-7965e06a2116","resolution":{"observed_at":"2026-08-06T15:40:04.657118Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:04.625210Z","title":"Tutorial on amortized optimization,","venue":null,"work_id":"b8548be5-ff16-4faf-bba8-ac9b9c64413f","year":2023},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.179487Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:0608af04e02793c287921bfa52eb3792101a12026e8564943e012a6c435d88e5","observation_id":"a5877d31-8699-468d-9045-04f41934c85d","resolution":{"observed_at":"2026-08-06T15:40:04.632297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:01.295417Z","title":"Visualizing data using t-sne,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.295417Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:3902b9568a4329ef723d393dbd1d676d5a20d4399bd14a0bcdef614c5bf7b17d","observation_id":"68c87c92-2d35-45cf-803e-84592aee1a0a","resolution":{"observed_at":"2026-08-06T15:40:01.295417Z","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":"2026-08-06T15:40:04.586897Z","title":"Fast decoding in sequence models using discrete latent variables,","venue":null,"work_id":"6192e442-5baa-45ef-8d39-1e54510d42b6","year":2018},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.357246Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:c1a7849aa1eabcbfe7b6f02357d740430695032e6316ff0c6e3fe9da45913380","observation_id":"683984aa-6ca1-43fb-bda2-d64388585ef1","resolution":{"observed_at":"2026-08-06T15:40:04.592575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.11063","last_updated":"2018-07-20T06:55:09Z","snapshot_observed_at":"2026-07-06T06:41:39.213867Z","submitted_at":"2018-05-28T17:16:20Z","title":"Theory and Experiments on Vector Quantized Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.11063","snapshot_observed_at":"2026-08-06T15:40:01.440639Z","title":"Theory and experiments on vector quantized autoencoders,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.440639Z"},"links":{"cited_paper":"/paper/1805.11063","citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:5b21f726b2f2761b8338b9059c3b934a94d85f2e42f2b5dd1c6e01503276ee09","observation_id":"0a6f2dc6-b098-4141-9bd1-c81e4a5cacab","resolution":{"observed_at":"2026-08-06T15:40:01.440639Z","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":"2026-08-06T15:40:04.567289Z","title":"Straightening out the straight-through estimator: Overcoming optimization challenges in vector quantized networks,","venue":null,"work_id":"23c2354a-dcf8-4251-8080-8f8f1e18532c","year":2023},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.516383Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:78eb7ac892da102c45b81b400cc740bb73009eef5ea35788040fe24a8407c94b","observation_id":"c19b6411-985f-4c86-8cd7-ce78945edf8c","resolution":{"observed_at":"2026-08-06T15:40:04.573756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:01.597572Z","title":"Least squares quantization in PCM,","venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.597572Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:a717ae5ca3a45255478ba127ca447d448c929139816b73539ea18f400686f049","observation_id":"f726fa8b-ee11-4fc2-b42d-3ef5ab5282bd","resolution":{"observed_at":"2026-08-06T15:40:01.597572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-06T15:40:01.679745Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.679745Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:14dfbd4c774ebc00df52333d9b1c0d0fbc4df5db77f71befa29fad36adc2dfd9","observation_id":"740f6324-2518-4447-82b7-6ccc56a5e208","resolution":{"observed_at":"2026-08-06T15:40:01.679745Z","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":"2026-08-06T15:40:04.381666Z","title":"torch.tensor.detach","venue":null,"work_id":"0bf91f52-e08e-4cdd-8403-35d23e4e479d","year":null},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.799565Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:dcee2d150a8006f9239367a4fde47ede8b7aabe895388429ff7517c6cd426e53","observation_id":"715a2511-ff5f-499c-a0c4-847f9851fe38","resolution":{"observed_at":"2026-08-06T15:40:04.451702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-06T15:40:01.984377Z","title":"Decoupled weight decay regularization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:01.984377Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:f68fc0888d6853e8a987041bfff74d17e8237a2e150ae77f74a702020d719704","observation_id":"05fd6fd5-7ed4-451f-8c5d-d06fe4d3c25e","resolution":{"observed_at":"2026-08-06T15:40:01.984377Z","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":"2026-08-06T15:40:04.110558Z","title":"Discrete latent variables,","venue":null,"work_id":"95cee397-2d46-4c30-b246-04b9d2df9a57","year":2024},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:02.112736Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:484b6b3ddf6b2ad3d7a72d43e1a657bcd240e7637715c25efa03fd91ccad7985","observation_id":"55d51990-82e5-4838-889b-aea519e4055d","resolution":{"observed_at":"2026-08-06T15:40:04.259005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:03.891284Z","title":"Attention is all you need,","venue":null,"work_id":"f7fa2d97-7ae4-4934-bc72-76d4ea36bc6d","year":2017},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:02.215000Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:16df7f3863865e6ec87afb1a9f159a64f8dc4ddb09b59fc40c076fb01ad3d9d1","observation_id":"2aec2c30-bcac-47b0-a260-1445f36f7ad9","resolution":{"observed_at":"2026-08-06T15:40:04.002069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:03.589763Z","title":"Inductive representation learning on large graphs,","venue":null,"work_id":"a2916f79-39e8-43a0-bbb0-a6985d40fc58","year":2017},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:02.337472Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:466a9748fd91070b0a1b533d2088b5912c7885ade9858c3d9841a8145ea52c8f","observation_id":"75537e83-cf8e-48f9-94a4-1786b9f80b3d","resolution":{"observed_at":"2026-08-06T15:40:03.738290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16856","last_updated":"2025-04-07T07:39:56Z","snapshot_observed_at":"2026-07-06T16:53:51.485946Z","submitted_at":"2023-11-28T15:05:13Z","title":"Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization","version":3},"cited_work":{"arxiv_id":"2311.16856","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.16856","snapshot_observed_at":"2026-08-06T15:40:03.034125Z","title":"Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization","venue":"cs.LG","work_id":"3434fd4d-c14c-4e8b-b20c-59e74d2c4f92","year":2023},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:02.477008Z"},"links":{"cited_paper":"/paper/2311.16856","citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:6288f332beaa81f503ef74562a6208aa783a08b6ce8e65d800393041c4ebe9f7","observation_id":"6e8c4b57-4e4f-4a7d-9e26-e9bf1ee5de71","resolution":{"observed_at":"2026-08-06T15:40:03.133308Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:02.594234Z","title":"Comparing partitions,","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:02.594234Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:540eba4f339255a67bcd8531efd159d15b4f6f9bea70f9688b5726d3f59a508d","observation_id":"fde5d4c0-993a-40b6-9d24-d71b802c5353","resolution":{"observed_at":"2026-08-06T15:40:02.594234Z","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":"2026-08-06T15:40:03.458045Z","title":"Cluster ensembles—a knowledge reuse frame- work for combining multiple partitions,","venue":null,"work_id":"3024cf50-8897-4741-9b99-687b1438a2fc","year":2002},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:02.718802Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:5632a81523b914928512c42367350aeec09d73aae6ac44f3df6061a6e38aa27a","observation_id":"107169e3-f8a5-4eda-92f5-12965a870879","resolution":{"observed_at":"2026-08-06T15:40:03.499790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T15:40:03.325875Z","title":"V-measure: A conditional entropy- based external cluster evaluation measure,","venue":null,"work_id":"b44e0094-4e77-4f5d-846b-be7904cadb69","year":2007},"citing_paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:40:02.874391Z"},"links":{"citing_paper":"/paper/2507.15386"},"observation_digest":"sha256:eea5aa6abdabf5b7fb4f038bcdc88b5fd2c0f58cc3b2b10b9a670af667144203","observation_id":"d41aeadb-606f-453c-a751-5d7537b5eb01","resolution":{"observed_at":"2026-08-06T15:40:03.393357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.15386","last_updated":"2025-07-21T08:43:34Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T15:30:37.930283Z","submitted_at":"2025-07-21T08:43:34Z","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":25},"total_outbound_references":36},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.15386."}