{"as_of":"2026-08-07T08:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eb9f9d5ef24393bdc346eb15b118a57ea9b4f440820adb9ef5cf9106f9a70d9b","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T08:59:51.104895Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2606.28847/citation-record","integrity":"/paper/2606.28847/integrity","json":"/paper/2606.28847/citation-record.json","paper":"/paper/2606.28847"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T03:26:44.987027Z","title":"A vision of 6G wireless systems: Applications, trends, technologies, and open research problems","venue":null,"work_id":"d7732f9c-d208-4919-9349-b2a8d58297c7","year":2019},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:9bbc3b1b86f323406c0957deca89325c303ed1fbcd1cb42f978617d3e08cba4a","observation_id":"a9be8160-7b2b-4ed2-9046-26d4fa8380a8","resolution":{"observed_at":"2026-07-10T03:26:44.988231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T03:26:44.980287Z","title":"AI-based time-, frequency-, and space-domain channel extrapolation for 6G: Opportuni- ties and challenges,","venue":null,"work_id":"1ddef3f2-198a-47dc-9c63-28bc1c80b407","year":2023},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:c28cc47970aed07d68d5465411e7cf7340170330c3e60b7e40f975a12b296761","observation_id":"e5174c46-496a-4d32-ba90-eb01d4bc14dd","resolution":{"observed_at":"2026-07-10T03:26:44.981460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-07-06T08:52:12.656082Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":"2001.08361","doi":"10.1145/3616855.3635845","metadata_source":"pith","pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Laws for Neural Language Models","venue":"cs.LG","work_id":"b7dd8749-9c45-4977-ab9b-64478dce1ae8","year":2020},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:dda74032003e5429a5ca4d8c3c185cc57f65119b5b1c4fdf0a50375edfd47d19","observation_id":"6c1f767d-3022-4662-99ec-233eea6cee4e","resolution":{"observed_at":"2026-06-30T09:04:32.648115Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T03:26:44.981981Z","title":"WiFo: Wireless foundation model for channel prediction","venue":null,"work_id":"55e903f4-7784-4f52-a38b-a4da7793e641","year":2025},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:c098f5ca0644c18aeb1e39f3a189f3a11e7bda3d53b6f89936f8ba35506a49d6","observation_id":"a2903d7c-b9ca-4012-b6a7-128915453a61","resolution":{"observed_at":"2026-07-10T03:26:44.983098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.18200","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T20:30:08.619136Z","title":"HeterCSI: Channel-adaptive heterogeneous CSI pretraining framework for gener- alized wireless foundation models","venue":null,"work_id":"a5620c9f-0cff-409e-ae99-d2594f2f00e6","year":2026},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:586ed9d82efbdff3fb931d70ee5fdc886abaf316a5313fd4f52d2dace393d11b","observation_id":"a8670099-f4ba-4b85-9415-e891e72760c0","resolution":{"observed_at":"2026-06-30T09:04:32.645717Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T03:26:44.983672Z","title":null,"venue":null,"work_id":"b0d34dc5-58de-4cb4-858b-95d140cee485","year":2007},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:129185ef33e47025ea134a3dd7a4f193e7497ff2cc31507ac0f3be85d711fedb","observation_id":"1980e851-c913-45c7-bb91-d3b2301008e7","resolution":{"observed_at":"2026-07-10T03:26:44.984662Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T03:26:44.988749Z","title":"Large language models for wireless communications: From adaptation to autonomy,","venue":null,"work_id":"89f51d7e-ba2c-4735-a84a-be87ef90b4fc","year":2026},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:816439ab5245db6a69aa93c1a5613ecc1ba66843834895d8c912c1521715fb67","observation_id":"f258cd7d-51af-446b-9f35-80f9b3792ee1","resolution":{"observed_at":"2026-07-10T03:26:44.989889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T03:26:44.990397Z","title":"Study on channel model for frequencies from 0.5 to 100 GHz,","venue":null,"work_id":"452e2c69-fd21-43ff-879c-260c151c6a0a","year":2022},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:c7279064543fe99c6b952cc3aa8a7e4ac6ef0b5df9ba7b28feb049132c96280a","observation_id":"7b41af75-1805-41f7-82ed-73dc5b0d1d74","resolution":{"observed_at":"2026-07-10T03:26:44.991516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:0bb03a91c5fbf15ae051732b0cc9859e46d9f477ed83034d4a22eda2ba0aaa4d","observation_id":"ca682991-cb6c-44db-9a88-91fa0b9dc43d","resolution":{"observed_at":"2026-06-30T09:04:32.653046Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T03:26:44.992034Z","title":"Attention is all you need","venue":null,"work_id":"926eae10-8f77-4634-b034-c4ead0bd04bf","year":2017},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:233c4d677f5b35ae6f878ba8fdc7521f91c0191b326a9e6dc4d400238f6f615b","observation_id":"d9673f25-e4b0-4fdd-8dc7-4c8382fce072","resolution":{"observed_at":"2026-07-10T03:26:44.993075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T03:26:44.993613Z","title":"Deep learning for fading channel prediction,","venue":null,"work_id":"5b040c43-7019-4a1e-972f-5d5a367f0743","year":2020},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:2490142a55b4e24653ad6629074640bbf5f8741329edc14db2358de23e6e30fb","observation_id":"f7a5be85-e674-457b-ad5b-c5604b323f04","resolution":{"observed_at":"2026-07-10T03:26:44.995290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T03:26:44.995956Z","title":"Informer: Beyond efficient transformer for long sequence time-series forecasting,","venue":null,"work_id":"6865b412-0a8f-4c5e-9871-28f9244cbf3d","year":2021},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:25f7876c7f42d5714f86f6dcf2368aa556823d8e2827bb62b99938ddd26fc3e5","observation_id":"b834eb01-35da-45a2-968b-91d82c2185b7","resolution":{"observed_at":"2026-07-10T03:26:44.997126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.02159","last_updated":"2022-12-05T10:59:05Z","snapshot_observed_at":"2026-08-06T20:03:07.581235Z","submitted_at":"2022-12-05T10:59:05Z","title":"WAIR-D: Wireless AI Research Dataset","version":1},"cited_work":{"arxiv_id":"2212.02159","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.02159","snapshot_observed_at":"2026-07-04T18:50:04.622589Z","title":"Wair-d: Wireless ai research dataset","venue":null,"work_id":"6a6dd135-86cd-4f7f-ae75-7c89a129730c","year":2022},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"cited_paper":"/paper/2212.02159","citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:ff77772f9ca68624d44dffddc35675597163d2b9f621bb36308678cc306bcd83","observation_id":"f10d2590-d7e4-4675-8e24-7de569537e8e","resolution":{"observed_at":"2026-06-30T09:04:32.650581Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.06435","last_updated":"2019-02-18T07:44:08Z","snapshot_observed_at":"2026-08-05T21:26:49.618130Z","submitted_at":"2019-02-18T07:44:08Z","title":"DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications","version":1},"cited_work":{"arxiv_id":"1902.06435","doi":null,"metadata_source":"pith","pith_arxiv_id":"1902.06435","snapshot_observed_at":"2026-07-10T01:16:41.173125Z","title":"DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications","venue":"cs.IT","work_id":"dba980c7-2e4a-4874-8e82-876a08e43c3f","year":2019},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"cited_paper":"/paper/1902.06435","citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:7660ca04bf82752dee8f612ef799ec3d06ae376847029960195d815788bc1d65","observation_id":"b739ffa8-129d-408c-9eb2-2b37626c942d","resolution":{"observed_at":"2026-06-30T09:04:32.643053Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T03:26:44.985192Z","title":"Massive MIMO channels with inter-user angle correlation: Open-access dataset, analysis and measurement-based validation,","venue":null,"work_id":"2fa2e945-fbfc-4f64-9f8f-88d452b50e47","year":2021},"citing_paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T08:59:51.104895Z"},"links":{"citing_paper":"/paper/2606.28847"},"observation_digest":"sha256:9918492f9b8cdfc94f6fd7e4257606c3c06d31163ca8e86c33a55a9fdffc37ba","observation_id":"b0da655f-82b8-450d-89b0-15f68d0da200","resolution":{"observed_at":"2026-07-10T03:26:44.986369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.28847","last_updated":"2026-06-27T10:15:50Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-05T00:34:01.477029Z","submitted_at":"2026-06-27T10:15:50Z","title":"Physics Equivariance for Robust Generalization in Wireless Foundation Model"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":5,"verified_fuzzy":9},"total_outbound_references":15},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.28847."}