{"as_of":"2026-08-20T09:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b659085e1faa7d6b1ca09fa0b2006d929d4f39ca18ba953074bce2681fedd27f","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:42:22.506185Z","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":"2026-08-20T06:33:59.587034+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/2505.09141/citation-record","integrity":"/paper/2505.09141/integrity","json":"/paper/2505.09141/citation-record.json","paper":"/paper/2505.09141"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:42:22.737819Z","title":"A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,","venue":null,"work_id":"0c9c5c44-4d70-4ac3-9e18-9877a5e7ba3c","year":2024},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.452315Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:a511534a37cbe8ff651e644cf07800b9e18b995190e2e0ab345f780b9cb10546","observation_id":"bc9ada71-4c5f-409b-981c-1c99be840dba","resolution":{"observed_at":"2026-08-15T21:42:22.741559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T21:42:22.725679Z","title":"Addressing the curse of mobility in massive MIMO with prony-based angular-delay domain channel predictions,","venue":null,"work_id":"00896cc1-0486-45a9-8d6e-dc919848f947","year":2020},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.457445Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:6302bef45603d579163027daa6c2997b0f7229cd702bf2da7d0ca93c50a58590","observation_id":"1569c9a7-4098-4b29-a74b-118230b4b526","resolution":{"observed_at":"2026-08-15T21:42:22.729656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T21:42:22.461685Z","title":"LLM4CP: Adapting large language models for channel prediction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.461685Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:b1956b68a7811327694dd89c435f1e6db453d471206b675a68ce8e0aba1fc432","observation_id":"c6d4951d-6924-4c1e-b1b4-2a001840baed","resolution":{"observed_at":"2026-08-15T21:42:22.461685Z","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":"2026-08-15T21:42:22.465826Z","title":"Accurate channel prediction based on transformer: Making mobility negligible,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.465826Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:449bf24399aef02f6b7da730d3f2e2b15cc832cfdc6f356273697565b299df9a","observation_id":"609a155d-9288-4d58-b3f5-9aad92e5d819","resolution":{"observed_at":"2026-08-15T21:42:22.465826Z","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":"2026-08-15T21:42:22.700641Z","title":"Spatio- temporal neural network for channel prediction in massive MIMO- OFDM systems,","venue":null,"work_id":"73b3e3d1-69c8-46ac-8643-d7287d04cfee","year":2022},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.469885Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:e5a9cd15879dd3ab30d1270acab67e2b2d575a94144c115a7cb2c330e37ff8a1","observation_id":"25f0908a-1d02-4776-8b70-feaf1adc5912","resolution":{"observed_at":"2026-08-15T21:42:22.704097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T21:42:22.474356Z","title":"Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.474356Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:dd5c1ee028b5058ad3f165886dfac2498506b3eb16736aad6002d40ff7dbfefb","observation_id":"049ee1ff-8edc-41e1-9da7-52a259ecf3f3","resolution":{"observed_at":"2026-08-15T21:42:22.474356Z","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":"2026-08-15T21:42:22.681685Z","title":"Sensing-assisted sparse channel recovery for massive antenna systems,","venue":null,"work_id":"6eacdca8-b580-476c-8210-80d22496d311","year":2024},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.477988Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:b7e33054fb2fddf29159182da5c4883ddc6522eba106d3dc0597630923032089","observation_id":"f6c4c412-a530-4815-b078-08c905a42050","resolution":{"observed_at":"2026-08-15T21:42:22.685274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T21:42:22.669533Z","title":"Radar-assisted predictive beamforming for vehicular links: Communication served by sensing,","venue":null,"work_id":"40c961d8-0c9f-4bdd-9f9d-09fb7588ae94","year":2020},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.481508Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:b514dff5d1f7b1c2a34f860f1de54732f70ec44973b8d8b8ce8ac1ca056c5f58","observation_id":"94b37b8d-cbe6-48a8-9b6a-7d321ff8df9f","resolution":{"observed_at":"2026-08-15T21:42:22.674519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T21:42:22.484502Z","title":"Sensing-assisted predictive beamforming with multipath echo signals,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.484502Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:27242239aa3c9ab775d1343b38b30f86d5c797aeace9b6d4c2949a5e208f8ea4","observation_id":"906ab4d0-41b6-495f-8efb-b4c27aa152b8","resolution":{"observed_at":"2026-08-15T21:42:22.484502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10350","last_updated":"2024-02-15T22:43:02Z","snapshot_observed_at":"2026-08-17T14:51:24.499182Z","submitted_at":"2024-02-15T22:43:02Z","title":"Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10350","snapshot_observed_at":"2026-08-15T21:42:22.487550Z","title":"Large language models for forecasting and anomaly detec- tion: A systematic literature review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.487550Z"},"links":{"cited_paper":"/paper/2402.10350","citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:9e2b8e26416b71d2a1ef1a961ee20e280728006dc2454133c800cd3ef88fc1c2","observation_id":"28e7687a-4677-48c0-8264-e9ee4137bb99","resolution":{"observed_at":"2026-08-15T21:42:22.487550Z","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":"2026-08-15T21:42:22.653056Z","title":"Time-LLM: Time series forecasting by reprogramming large language models,","venue":null,"work_id":"6ab8d791-f1ed-4168-bf02-5a22226a8f07","year":2024},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.491159Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:a06e4340f8767189a406503b46759de183ad841c781918363dfdd941702ccb9c","observation_id":"5abb56e5-f285-41e7-95e9-d66c5fad7927","resolution":{"observed_at":"2026-08-15T21:42:22.659400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T21:42:22.495034Z","title":"Goldsmith,Wireless Communications","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.495034Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:a94c33cd2703a012c620c143f837212ea789f1b4d389f175e652aded9e0fde09","observation_id":"27eefbf0-39a4-4b05-9ba5-ecbd1002c13e","resolution":{"observed_at":"2026-08-15T21:42:22.495034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11854","last_updated":"2023-03-20T13:51:38Z","snapshot_observed_at":"2026-08-20T05:07:17.364824Z","submitted_at":"2022-03-22T16:31:44Z","title":"Sionna: An Open-Source Library for Next-Generation Physical Layer Research","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11854","snapshot_observed_at":"2026-08-15T21:42:22.498579Z","title":"Sionna: An open-source library for next-generation physical layer research,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.498579Z"},"links":{"cited_paper":"/paper/2203.11854","citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:da3f56e9b014c612926684892daec6d7e11402c4e1c93052607c59e5c7c9acd2","observation_id":"6163a1bd-028b-40fc-ac28-c4b57fd42474","resolution":{"observed_at":"2026-08-15T21:42:22.498579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-15T21:42:22.502669Z","title":"Llama 2: Open foundation and fine-tuned chat models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.502669Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:fee74eb010c968eab7de9566a3419da84bd343baf793461a36b97fb953487155","observation_id":"f17e1419-ae22-4754-81f9-f8a984dc4623","resolution":{"observed_at":"2026-08-15T21:42:22.502669Z","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":"2026-08-15T21:42:22.506185Z","title":"Language models are unsupervised multitask learners,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:42:22.506185Z"},"links":{"citing_paper":"/paper/2505.09141"},"observation_digest":"sha256:a7b103d5fdf8dd3a368c77febe59f2e98c08e975d421b3034fec8f476bcbc9fe","observation_id":"402681c4-00ec-4e95-9b85-12780f16e806","resolution":{"observed_at":"2026-08-15T21:42:22.506185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.09141","last_updated":"2025-05-14T04:50:00Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-19T17:58:30.377354Z","submitted_at":"2025-05-14T04:50:00Z","title":"Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":15},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.09141."}