{"as_of":"2026-08-21T22:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3373d037b2dba708b4075958ecc94eaf8e4fb55e4eb9a33605e47f4c653adec7","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:36:49.116890Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T10:20:05.143297Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T10:20:05.215463Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"cited_work":{"arxiv_id":"2506.07755","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07755","snapshot_observed_at":"2026-08-05T10:20:05.215463Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","venue":"eess.SY","work_id":"fd55e1fb-e715-486b-a529-9d1967b408b0","year":2025},"citing_paper":{"arxiv_id":"2509.04399","last_updated":"2025-09-04T17:10:15Z","snapshot_observed_at":"2026-08-14T00:17:26.562235Z","submitted_at":"2025-09-04T17:10:15Z","title":"Leveraging Equivariances and Symmetries in the Control Barrier Function Synthesis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T10:20:05.143297Z"},"links":{"cited_paper":"/paper/2506.07755","citing_paper":"/paper/2509.04399"},"observation_digest":"sha256:3bab453e295f99ceb043755d273e08cb9e1438d006def0e348facea4820fa6bd","observation_id":"c81e70ea-e309-40e1-b1da-2e8fcae5fec6","resolution":{"observed_at":"2026-08-05T10:20:05.220546Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.07755/citation-record","integrity":"/paper/2506.07755/integrity","json":"/paper/2506.07755/citation-record.json","paper":"/paper/2506.07755"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.588196Z","title":"Collision avoidance ver- ification of multiagent systems with learned policies,","venue":null,"work_id":"61574e5b-90a5-478b-9c0c-c9dd37a68a02","year":2024},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:48.983900Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:88b682dea18f0016216371393faf4b65f488a8df571be06ed2ec480bba06855b","observation_id":"0df470d9-1d1a-4c11-9a01-e05e7202a3e3","resolution":{"observed_at":"2026-08-07T05:36:49.593669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.572636Z","title":"Multi-vehicle collision avoidance via hamilton-jacobi reachability and mixed integer program- ming,","venue":null,"work_id":"02df248b-dd65-43d8-9761-0143cf1185ce","year":2016},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:48.989305Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:cee3cf0bbfe3167fbe8d0384584c77801d17813f5072bc0df2e24f7c41238a77","observation_id":"a0cda459-be71-441c-897c-25a1c7877109","resolution":{"observed_at":"2026-08-07T05:36:49.577671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.557604Z","title":"Sampling-based path planning for uav collision avoidance,","venue":null,"work_id":"6cee6617-c78b-4173-b8c2-a61c849c4814","year":2017},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:48.994100Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:a60f93f8f026a111b67c9bb33f063d91f7de3338d8f0f0bf01c11ec7af0ec314","observation_id":"616132fc-f390-468c-99c7-7f2833153d52","resolution":{"observed_at":"2026-08-07T05:36:49.562238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:48.998559Z","title":"Chance-constrained collision avoidance for mavs in dynamic environments,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:48.998559Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:c63f430d8ab91efa113400dec36742e033a14cf1fa54397e864297117e1e1eed","observation_id":"fb366521-0c39-457e-8bab-97966b85029c","resolution":{"observed_at":"2026-08-07T05:36:48.998559Z","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":"2026-08-07T05:36:49.531674Z","title":"Decentralized non- communicating multiagent collision avoidance with deep reinforce- ment learning,","venue":null,"work_id":"be58cc22-0530-425d-9996-ea3124d3754a","year":2017},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.003835Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:5dcf24fb710457dc462038858965fcf087fe40ff15e0e4a2538b130596d59f3c","observation_id":"cca1666f-005e-4baf-a14f-d457e529c518","resolution":{"observed_at":"2026-08-07T05:36:49.536177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.516939Z","title":"Scalable constrained policy optimization for safe multi-agent reinforcement learning,","venue":null,"work_id":"648b38a4-6de1-428f-86e1-bd07747d0065","year":2024},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.008224Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:6e29585548c600dfd2f40b7a2848d4d1d9665e1376c9dca2a77f2f3d1e253659","observation_id":"57585edb-b795-43af-8cee-6ba968925cfe","resolution":{"observed_at":"2026-08-07T05:36:49.521501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.502427Z","title":"Control barrier function based quadratic programs for safety critical systems,","venue":null,"work_id":"632cfd24-6fbf-49f7-a68b-37289528f026","year":2016},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.013287Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:39346950eace3c6262b08b9f06bd57885d325174a02871d1a02954ca719f1879","observation_id":"d2574f6f-02e9-4a06-8de1-ed8e3840978e","resolution":{"observed_at":"2026-08-07T05:36:49.506787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.487404Z","title":"Nonsmooth barrier func- tions with applications to multi-robot systems,","venue":null,"work_id":"1a50587f-bcf7-4888-82a7-3f1244b9c2c9","year":2017},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.017668Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:e9b786294129738897627aaf629cf2759f222854136230a694fda3bf278f4c50","observation_id":"7345342d-8a68-4e79-a26a-35197de72699","resolution":{"observed_at":"2026-08-07T05:36:49.491945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.472302Z","title":"Distributed implementation of control barrier functions for multi-agent systems,","venue":null,"work_id":"6d78d6bf-2e6b-4154-b19e-678f1edd3eb2","year":2022},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.022058Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:33c6289a0f1f7e50fdf7fa5a506b22bbb32db491596c65e2f4becc7218c7c327","observation_id":"350992a1-341d-4d11-a0dc-720aad0c3f70","resolution":{"observed_at":"2026-08-07T05:36:49.476866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.456934Z","title":"Control barrier functions for multi-agent systems under conflicting local signal temporal logic tasks,","venue":null,"work_id":"0b802b34-a331-46bf-b1b2-893b10ca7129","year":2019},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.026495Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:925b10071dbcf2596d7f654575e6ddf273ebbd25f33447e7ddfc5696ccc227a0","observation_id":"64f968c3-cb69-447c-99a4-4501b12c3812","resolution":{"observed_at":"2026-08-07T05:36:49.462000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.440999Z","title":"Trust-based rate-tunable control barrier functions for non-cooperative multi-agent systems,","venue":null,"work_id":"3f72802a-51c5-42c4-82b3-c5a22abc6201","year":2022},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.031056Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:162d7d9113778c633c7d0aaa29f6956344930ee6c318f872f8f5a2d627f2e583","observation_id":"e07a782d-3232-467f-86af-c537fa5e2c9e","resolution":{"observed_at":"2026-08-07T05:36:49.445683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.426073Z","title":"Learning control barrier functions from expert demonstrations,","venue":null,"work_id":"01a593e6-faae-43e3-85cc-3913d266151d","year":2020},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.035642Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:f4d781e1ebb83cc3661a6f8ad4b585198638a55796c122315320211c4e048287","observation_id":"0ab04a90-0431-4d93-b1c9-287643908317","resolution":{"observed_at":"2026-08-07T05:36:49.430487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.410601Z","title":"Learning safe multi-agent control with decentralized neural barrier certificates,","venue":null,"work_id":"f825a057-379a-41fb-a38f-c92de623cee4","year":2021},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.040440Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:e134bbde17007470e6947f088108c3606998079ade7621c5947eb0694b8779ed","observation_id":"25c5a88c-e4de-4ae4-a6e1-5655c48439dd","resolution":{"observed_at":"2026-08-07T05:36:49.415433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.393913Z","title":"Neural graph control barrier func- tions guided distributed collision-avoidance multi-agent control,","venue":null,"work_id":"22a4b9c2-f8e3-4aeb-ba02-b8def25b65b5","year":2023},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.045047Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:096f0a6b718464212a017be655dc0fbd91c52c22d99a688ed42acc1fb3e6ae00","observation_id":"17a28b3b-6d70-427a-b70a-9786a731dd3c","resolution":{"observed_at":"2026-08-07T05:36:49.399409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.378239Z","title":"Gcbf+: A neural graph control barrier function framework for distributed safe multi-agent control,","venue":null,"work_id":"1da2ea23-5948-4e70-8a5d-d23261d102a3","year":2025},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.050463Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:41902f122f33f29378f6c891ee20dfb0c7b84bf37f13c6a61eb40aa5845d7c8e","observation_id":"99f619b2-929f-4f3b-8e7b-29608f4aaaea","resolution":{"observed_at":"2026-08-07T05:36:49.383005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.361227Z","title":"Provably safe online multi-agent navigation in unknown environments,","venue":null,"work_id":"08e4978c-5b23-4f85-b4f2-5e999180779f","year":2024},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.055488Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:2418de800d3fc7d324c20591c43ca29ce9e498c1c22f1d47af3a0928c1b0b8ac","observation_id":"fb287846-42c2-48d6-be08-68012e9e13a8","resolution":{"observed_at":"2026-08-07T05:36:49.366504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.345091Z","title":"Fast, expressive $\\mathrm{SE}(n)$ equivariant networks through weight-sharing in position-orientation space,","venue":null,"work_id":"223c9112-1ade-4a42-9bf8-a9e19f8e1070","year":2024},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.060495Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:3d02c54239937577991563ebc0b90f50b81e52278de4a23b23d1c38cc96a044a","observation_id":"dcffbbbf-ee22-449b-a0bc-89676190b430","resolution":{"observed_at":"2026-08-07T05:36:49.350166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.327433Z","title":"Multi- agent mdp homomorphic networks,","venue":null,"work_id":"e7912f25-9727-4db0-84ff-dd7c5e47a59b","year":2022},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.065046Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:be56c322ed75912a1861ca5dc18d5d5da1b1aad957fb01296c67131b80755cb3","observation_id":"6b27c54b-ba16-406f-96b4-92621f90e58e","resolution":{"observed_at":"2026-08-07T05:36:49.332851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.310950Z","title":"Boost- ing sample efficiency and generalization in multi-agent reinforcement learning via equivariance,","venue":null,"work_id":"b848fd03-fa01-4ea6-a035-d2cb1b3e6820","year":2024},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.069612Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:a792a325b6785f1a9153b1e5b3bed6c8fa6924facc44aa3a25d8a7763364abeb","observation_id":"0b75f2b8-c62a-4882-babb-8a8ef8a750f1","resolution":{"observed_at":"2026-08-07T05:36:49.316190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.295620Z","title":"E(n) equivariant graph neural networks,","venue":null,"work_id":"43446bb4-a821-4e23-819c-cc3cb344498c","year":2021},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.073857Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:5d06837349ba2407e85a516ef20056fd745e0b3cfb7270b3306257d94a2d713b","observation_id":"f3218573-ace9-483e-92c0-1ddec24c4a0f","resolution":{"observed_at":"2026-08-07T05:36:49.300112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.279389Z","title":"Se(3)- transformers: 3d roto-translation equivariant attention networks,","venue":null,"work_id":"5f9133dd-047b-4684-8233-13ce114f7298","year":2020},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.080672Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:236ac18a2e159e6bddf5366f9ba78eeeb8cedb32acadeb26cb8ece5f6eb57b40","observation_id":"4620182d-4b20-44be-9027-11a3f3c222bb","resolution":{"observed_at":"2026-08-07T05:36:49.284057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.263007Z","title":"Scalable multi-agent reinforcement learning through intelligent information aggregation,","venue":null,"work_id":"dc20b4ed-a8da-44fa-bfbd-52fe60f314a0","year":2023},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.085329Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:02c432a17b51014216b48fa3ebcde4eb5070eda726cfc9738963c3754f871d20","observation_id":"3a5b2c44-88e9-4999-843e-639b4014ad73","resolution":{"observed_at":"2026-08-07T05:36:49.268553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.246474Z","title":"Control barrier functions: Theory and applications,","venue":null,"work_id":"e5b695d2-76c5-4b20-8d8c-5e5c6ae713fe","year":2019},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.089887Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:f18563a4705a6937d4d66729b2b9267e5151e99e18510881c2648bfbc7cbb5a7","observation_id":"a2ecad60-49af-4938-bae6-8e03bbd24cc3","resolution":{"observed_at":"2026-08-07T05:36:49.251644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.230196Z","title":"Robustness of con- trol barrier functions for safety critical control,","venue":null,"work_id":"60dd7fa5-6411-4185-8b96-e28ff71b0aac","year":2015},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.094214Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:202bc38bd1d3a8a0063a0d4277a83ed45ad6c27c9754d1ff5935ed03077078cf","observation_id":"a4e0538a-ee76-436c-9950-ddfcec83513d","resolution":{"observed_at":"2026-08-07T05:36:49.234887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.214096Z","title":"Graph neural networks for multi-robot active information acquisition,","venue":null,"work_id":"42ddbc83-ce4c-425b-b652-432166d49069","year":2023},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.098841Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:46b2801248296c03bb19efa3742a8b4c003386c6fdf7182ee8576db47c527e5f","observation_id":"1b1850b7-fc90-46cf-b0c6-7d9cd1f64d58","resolution":{"observed_at":"2026-08-07T05:36:49.218576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.197898Z","title":"e(3)-equivariant actor-critic methods for cooperative multi-agent reinforcement learning,","venue":null,"work_id":"bed594cf-8695-4423-ac4a-829c73ca4062","year":2024},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.103243Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:eacea2e2f0dd7dcc0372954142c517b05c75deee42f43c993a97d21c9224c14b","observation_id":"282780d1-fda7-4a8e-9ff5-3a85241fde8c","resolution":{"observed_at":"2026-08-07T05:36:49.202944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.181237Z","title":"Be- yond canonicalization: How tensorial messages improve equivariant message passing,","venue":null,"work_id":"9148f324-9843-463a-a6ca-a6bafd919724","year":2025},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.107746Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:6df34b5574e5fb8e8b1656116b21adfe6c41ff625a63804d78f453853312fa86","observation_id":"6267ca78-f6b4-4674-a90c-faea9fde09b1","resolution":{"observed_at":"2026-08-07T05:36:49.186401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.162410Z","title":"Symmetries-enhanced multi-agent reinforcement learning,","venue":null,"work_id":"4bb5fa2b-1f74-4a93-ac73-d18b259ddeac","year":2025},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.112222Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:34859509f9588587bd9a59e2929ca112845f878fb539141fda1b3497030f24af","observation_id":"f1ab5347-cdfb-474a-b883-d3370eb53680","resolution":{"observed_at":"2026-08-07T05:36:49.169300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:36:49.116890Z","title":"Safety barrier certificates for collisions-free multirobot systems,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:36:49.116890Z"},"links":{"citing_paper":"/paper/2506.07755"},"observation_digest":"sha256:f872bc997f82dcc2173673451a5f5cd9c5c0753a5ee2d4cf520e2bf24077e64c","observation_id":"1608d284-7a49-4ecc-bafe-6b1bca1358d1","resolution":{"observed_at":"2026-08-07T05:36:49.116890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.07755","last_updated":"2025-06-09T13:37:29Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-07T21:32:01.235828Z","submitted_at":"2025-06-09T13:37:29Z","title":"Deep Equivariant Multi-Agent Control Barrier Functions"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":27},"total_outbound_references":29},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.07755."}