{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6W4NGKZHZFITPPRE2TCJQD67PT","short_pith_number":"pith:6W4NGKZH","canonical_record":{"source":{"id":"2410.23379","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2024-10-30T18:34:32Z","cross_cats_sorted":[],"title_canon_sha256":"2c17bab206080aa4c3a882ca6e47b62d02936f330ea214655b97040a027b3f50","abstract_canon_sha256":"27ef0783b69324fb87ccbba8c48298d8209096202843f02e65a86dcf85f6be50"},"schema_version":"1.0"},"canonical_sha256":"f5b8d32b27c95137be24d4c4980fdf7cf355890b6187d604ff7d39866fc544da","source":{"kind":"arxiv","id":"2410.23379","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.23379","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"arxiv_version","alias_value":"2410.23379v1","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.23379","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"pith_short_12","alias_value":"6W4NGKZHZFIT","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"pith_short_16","alias_value":"6W4NGKZHZFITPPRE","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"pith_short_8","alias_value":"6W4NGKZH","created_at":"2026-07-05T09:28:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6W4NGKZHZFITPPRE2TCJQD67PT","target":"record","payload":{"canonical_record":{"source":{"id":"2410.23379","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2024-10-30T18:34:32Z","cross_cats_sorted":[],"title_canon_sha256":"2c17bab206080aa4c3a882ca6e47b62d02936f330ea214655b97040a027b3f50","abstract_canon_sha256":"27ef0783b69324fb87ccbba8c48298d8209096202843f02e65a86dcf85f6be50"},"schema_version":"1.0"},"canonical_sha256":"f5b8d32b27c95137be24d4c4980fdf7cf355890b6187d604ff7d39866fc544da","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:59.730336Z","signature_b64":"oOkclDbkgJETjFp+TsvDKnNksskhcUd4QK41nfbiYRngG/4yF0oF8YBwv55X0SZTJ3o4NFI40MQh1+EhuTHqAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5b8d32b27c95137be24d4c4980fdf7cf355890b6187d604ff7d39866fc544da","last_reissued_at":"2026-07-05T09:28:59.729917Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:59.729917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.23379","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:28:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JbqsaXV/54n9wDxS4MAshRrTOiyp6jLibFemShIaCjWbs78vpJOHDkZEXtuUK/7x5vvu9THFu1FCrsBXXfmIDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T23:52:21.632791Z"},"content_sha256":"8412d048b829e40effe6daa87f0eac556d802bd1646c6914d4a8e34c662efdee","schema_version":"1.0","event_id":"sha256:8412d048b829e40effe6daa87f0eac556d802bd1646c6914d4a8e34c662efdee"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6W4NGKZHZFITPPRE2TCJQD67PT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Relational Weight Optimization for Enhancing Team Performance in Multi-Agent Multi-Armed Bandits","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MA","authors_text":"Amanda Redlich, Kshitij Jerath, Monish Reddy Kotturu, Paul Robinette, Reza Azadeh, Saniya Vahedian Movahed","submitted_at":"2024-10-30T18:34:32Z","abstract_excerpt":"We introduce an approach to improve team performance in a Multi-Agent Multi-Armed Bandit (MAMAB) framework using Fastest Mixing Markov Chain (FMMC) and Fastest Distributed Linear Averaging (FDLA) optimization algorithms. The multi-agent team is represented using a fixed relational network and simulated using the Coop-UCB2 algorithm. The edge weights of the communication network directly impact the time taken to reach distributed consensus. Our goal is to shrink the timescale on which the convergence of the consensus occurs to achieve optimal team performance and maximize reward. Through our ex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.23379","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.23379/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:28:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n7rInfY2yVR4lEIXfqFEjp22wefbKm87REo6MwxUl5RKGldxPPQPl3cS+DJwZhPHIsOvhofntsp7MTSHAP1YDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T23:52:21.633303Z"},"content_sha256":"39f6c520584e04134a085fe8f53414ddd9fb7b01f8033c6e029b113bb395b545","schema_version":"1.0","event_id":"sha256:39f6c520584e04134a085fe8f53414ddd9fb7b01f8033c6e029b113bb395b545"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6W4NGKZHZFITPPRE2TCJQD67PT/bundle.json","state_url":"https://pith.science/pith/6W4NGKZHZFITPPRE2TCJQD67PT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6W4NGKZHZFITPPRE2TCJQD67PT/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-31T23:52:21Z","links":{"resolver":"https://pith.science/pith/6W4NGKZHZFITPPRE2TCJQD67PT","bundle":"https://pith.science/pith/6W4NGKZHZFITPPRE2TCJQD67PT/bundle.json","state":"https://pith.science/pith/6W4NGKZHZFITPPRE2TCJQD67PT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6W4NGKZHZFITPPRE2TCJQD67PT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6W4NGKZHZFITPPRE2TCJQD67PT","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":"27ef0783b69324fb87ccbba8c48298d8209096202843f02e65a86dcf85f6be50","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2024-10-30T18:34:32Z","title_canon_sha256":"2c17bab206080aa4c3a882ca6e47b62d02936f330ea214655b97040a027b3f50"},"schema_version":"1.0","source":{"id":"2410.23379","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.23379","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"arxiv_version","alias_value":"2410.23379v1","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.23379","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"pith_short_12","alias_value":"6W4NGKZHZFIT","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"pith_short_16","alias_value":"6W4NGKZHZFITPPRE","created_at":"2026-07-05T09:28:59Z"},{"alias_kind":"pith_short_8","alias_value":"6W4NGKZH","created_at":"2026-07-05T09:28:59Z"}],"graph_snapshots":[{"event_id":"sha256:39f6c520584e04134a085fe8f53414ddd9fb7b01f8033c6e029b113bb395b545","target":"graph","created_at":"2026-07-05T09:28:59Z","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/2410.23379/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce an approach to improve team performance in a Multi-Agent Multi-Armed Bandit (MAMAB) framework using Fastest Mixing Markov Chain (FMMC) and Fastest Distributed Linear Averaging (FDLA) optimization algorithms. The multi-agent team is represented using a fixed relational network and simulated using the Coop-UCB2 algorithm. The edge weights of the communication network directly impact the time taken to reach distributed consensus. Our goal is to shrink the timescale on which the convergence of the consensus occurs to achieve optimal team performance and maximize reward. Through our ex","authors_text":"Amanda Redlich, Kshitij Jerath, Monish Reddy Kotturu, Paul Robinette, Reza Azadeh, Saniya Vahedian Movahed","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2024-10-30T18:34:32Z","title":"Relational Weight Optimization for Enhancing Team Performance in Multi-Agent Multi-Armed Bandits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.23379","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":"sha256:8412d048b829e40effe6daa87f0eac556d802bd1646c6914d4a8e34c662efdee","target":"record","created_at":"2026-07-05T09:28:59Z","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":"27ef0783b69324fb87ccbba8c48298d8209096202843f02e65a86dcf85f6be50","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2024-10-30T18:34:32Z","title_canon_sha256":"2c17bab206080aa4c3a882ca6e47b62d02936f330ea214655b97040a027b3f50"},"schema_version":"1.0","source":{"id":"2410.23379","kind":"arxiv","version":1}},"canonical_sha256":"f5b8d32b27c95137be24d4c4980fdf7cf355890b6187d604ff7d39866fc544da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f5b8d32b27c95137be24d4c4980fdf7cf355890b6187d604ff7d39866fc544da","first_computed_at":"2026-07-05T09:28:59.729917Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:59.729917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oOkclDbkgJETjFp+TsvDKnNksskhcUd4QK41nfbiYRngG/4yF0oF8YBwv55X0SZTJ3o4NFI40MQh1+EhuTHqAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:59.730336Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.23379","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8412d048b829e40effe6daa87f0eac556d802bd1646c6914d4a8e34c662efdee","sha256:39f6c520584e04134a085fe8f53414ddd9fb7b01f8033c6e029b113bb395b545"],"state_sha256":"47d3c723c671da73707c6cd11c10d093d4a3b3519a72d575c3cd187f42604e58"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jIB+m8In6FbqA2T8YsGWFXOz13B0gtu/+oPNTaN3gnlpPbD0QhV4ruAUV+vp97WRg93A5hH+wlLG1mUGyCIxDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T23:52:21.640284Z","bundle_sha256":"fd5ca6064e7fa27052b8255b60404e5cb60cbe666de9e228ecc7bfb453e352b5"}}