{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6GCRJCS6BNRPG5UO3H62X7RTYQ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8795e9b54e7dc327ed408e39103861d51e042edf88762224bdb18f1b191a449e","cross_cats_sorted":["cs.LG","cs.MA","cs.NI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-03-08T21:48:55Z","title_canon_sha256":"a80d23d642fd838567196ec2035ed2e801764fb06a24f3faf74105f696b553c5"},"schema_version":"1.0","source":{"id":"2103.05091","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.05091","created_at":"2026-07-05T03:01:55Z"},{"alias_kind":"arxiv_version","alias_value":"2103.05091v2","created_at":"2026-07-05T03:01:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.05091","created_at":"2026-07-05T03:01:55Z"},{"alias_kind":"pith_short_12","alias_value":"6GCRJCS6BNRP","created_at":"2026-07-05T03:01:55Z"},{"alias_kind":"pith_short_16","alias_value":"6GCRJCS6BNRPG5UO","created_at":"2026-07-05T03:01:55Z"},{"alias_kind":"pith_short_8","alias_value":"6GCRJCS6","created_at":"2026-07-05T03:01:55Z"}],"graph_snapshots":[{"event_id":"sha256:e1b0b36d5b6ada205ce697c36c6a628a9635f2a098d0f10402c8565b72c284f0","target":"graph","created_at":"2026-07-05T03:01:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2103.05091/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many algorithms for control of multi-robot teams operate under the assumption that low-latency, global state information necessary to coordinate agent actions can readily be disseminated among the team. However, in harsh environments with no existing communication infrastructure, robots must form ad-hoc networks, forcing the team to operate in a distributed fashion. To overcome this challenge, we propose a task-agnostic, decentralized, low-latency method for data distribution in ad-hoc networks using Graph Neural Networks (GNN). Our approach enables multi-agent algorithms based on global state","authors_text":"Alejandro Ribeiro, Daniel Mox, Ekaterina Tolstaya, James Paulos, Landon Butler, Vijay Kumar","cross_cats":["cs.LG","cs.MA","cs.NI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-03-08T21:48:55Z","title":"Learning Connectivity for Data Distribution in Robot Teams"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.05091","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:714552dc5c6aa124a5d486cbb388aaab8728b6b10cc6f9a23d77884e0439c4f9","target":"record","created_at":"2026-07-05T03:01:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8795e9b54e7dc327ed408e39103861d51e042edf88762224bdb18f1b191a449e","cross_cats_sorted":["cs.LG","cs.MA","cs.NI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-03-08T21:48:55Z","title_canon_sha256":"a80d23d642fd838567196ec2035ed2e801764fb06a24f3faf74105f696b553c5"},"schema_version":"1.0","source":{"id":"2103.05091","kind":"arxiv","version":2}},"canonical_sha256":"f185148a5e0b62f3768ed9fdabfe33c409451232c91a971ee5a8b5bb4be614fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f185148a5e0b62f3768ed9fdabfe33c409451232c91a971ee5a8b5bb4be614fc","first_computed_at":"2026-07-05T03:01:55.187692Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:01:55.187692Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d9NYf1fbkoWMP34xLTC6oZ6cAGADBsjQT1BIAUfF7DfY/lOiZmYetsdbh8u5MMewZTG0wVF8j65QNGwZ8zKnBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:01:55.188103Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.05091","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:714552dc5c6aa124a5d486cbb388aaab8728b6b10cc6f9a23d77884e0439c4f9","sha256:e1b0b36d5b6ada205ce697c36c6a628a9635f2a098d0f10402c8565b72c284f0"],"state_sha256":"4681d41f9c9ba813903208b3a9e69f6b69808623eebdc908469be62357ffcc20"}