{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FRX5G24MTNWGF2UTDCNXRSSY4V","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":"f76e9479b8b9394ff472e2ff0200895f5c35a6b9fb41ae84786e161e59bed311","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-09-22T15:53:43Z","title_canon_sha256":"9c7ac59e1b616246fe3eb8abe5e0626cb11d4c14bde82e2829462dfb5f6da56d"},"schema_version":"1.0","source":{"id":"2209.11113","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.11113","created_at":"2026-07-05T05:00:10Z"},{"alias_kind":"arxiv_version","alias_value":"2209.11113v1","created_at":"2026-07-05T05:00:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.11113","created_at":"2026-07-05T05:00:10Z"},{"alias_kind":"pith_short_12","alias_value":"FRX5G24MTNWG","created_at":"2026-07-05T05:00:10Z"},{"alias_kind":"pith_short_16","alias_value":"FRX5G24MTNWGF2UT","created_at":"2026-07-05T05:00:10Z"},{"alias_kind":"pith_short_8","alias_value":"FRX5G24M","created_at":"2026-07-05T05:00:10Z"}],"graph_snapshots":[{"event_id":"sha256:2143f14b087131b1f509c2eedb33974a32e5d697a97c2f9e5e274af2b752baeb","target":"graph","created_at":"2026-07-05T05:00:10Z","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/2209.11113/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses the problem of cooperative target tracking using a heterogeneous multi-robot system, where the robots are communicating over a dynamic communication network, and heterogeneity is in terms of different types of sensors and prediction algorithms installed in the robots. The problem is cast into a distributed learning framework, where robots are considered as 'agents' connected over a dynamic communication network. Their prediction algorithms are considered as 'experts' giving their look-ahead predictions of the target's trajectory. In this paper, a novel Decentralized Distri","authors_text":"Shubhankar Gupta, Suresh Sundaram","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-09-22T15:53:43Z","title":"Decentralized Distributed Expert Assisted Learning (D2EAL) approach for cooperative target-tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.11113","kind":"arxiv","version":1},"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:b5661bd93ee1b63c14ece4f2877338a7675a7191609a80822d7e6c0e10f834d0","target":"record","created_at":"2026-07-05T05:00:10Z","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":"f76e9479b8b9394ff472e2ff0200895f5c35a6b9fb41ae84786e161e59bed311","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-09-22T15:53:43Z","title_canon_sha256":"9c7ac59e1b616246fe3eb8abe5e0626cb11d4c14bde82e2829462dfb5f6da56d"},"schema_version":"1.0","source":{"id":"2209.11113","kind":"arxiv","version":1}},"canonical_sha256":"2c6fd36b8c9b6c62ea93189b78ca58e54c0f1cbe5a4b85826a18e20c8c547427","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c6fd36b8c9b6c62ea93189b78ca58e54c0f1cbe5a4b85826a18e20c8c547427","first_computed_at":"2026-07-05T05:00:10.440596Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:00:10.440596Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"woMrusGMC49RLfToop2L8ybSjewxco1biF1fnypsQe6djYMLbhs649NFUWcQzv7GD9yD4FVoHgIcev1Nwwj6Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:00:10.441000Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.11113","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5661bd93ee1b63c14ece4f2877338a7675a7191609a80822d7e6c0e10f834d0","sha256:2143f14b087131b1f509c2eedb33974a32e5d697a97c2f9e5e274af2b752baeb"],"state_sha256":"670a1cbda55878a9428c0618b9d2073a5a71632a460a85620e4f433e27dc134b"}