{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:I5T65WEXDP62VA6BR4GY7PBQGY","short_pith_number":"pith:I5T65WEX","canonical_record":{"source":{"id":"2411.00848","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-30T08:05:26Z","cross_cats_sorted":[],"title_canon_sha256":"11a66a29a379e42d8cb4cd6659207c9a6ffc09754ab83dea5bb404515ef85d10","abstract_canon_sha256":"f6c2cc5b2cedacaf9f49c52918ea072f193f5ec101a6294d9cec87d524f7605a"},"schema_version":"1.0"},"canonical_sha256":"4767eed8971bfdaa83c18f0d8fbc303626de2e3daa472c7b0d347075852be58c","source":{"kind":"arxiv","id":"2411.00848","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.00848","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"arxiv_version","alias_value":"2411.00848v1","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.00848","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"pith_short_12","alias_value":"I5T65WEXDP62","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"pith_short_16","alias_value":"I5T65WEXDP62VA6B","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"pith_short_8","alias_value":"I5T65WEX","created_at":"2026-07-05T09:29:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:I5T65WEXDP62VA6BR4GY7PBQGY","target":"record","payload":{"canonical_record":{"source":{"id":"2411.00848","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-30T08:05:26Z","cross_cats_sorted":[],"title_canon_sha256":"11a66a29a379e42d8cb4cd6659207c9a6ffc09754ab83dea5bb404515ef85d10","abstract_canon_sha256":"f6c2cc5b2cedacaf9f49c52918ea072f193f5ec101a6294d9cec87d524f7605a"},"schema_version":"1.0"},"canonical_sha256":"4767eed8971bfdaa83c18f0d8fbc303626de2e3daa472c7b0d347075852be58c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:29:51.460577Z","signature_b64":"BO/IYnWC4/iMHFd28eGBh3bGAaq6rSKREiP3fTXzz3JIb3nTfwOO8+p26n7BaocEkSseigwsXD4AN3knN3LBDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4767eed8971bfdaa83c18f0d8fbc303626de2e3daa472c7b0d347075852be58c","last_reissued_at":"2026-07-05T09:29:51.460220Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:29:51.460220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.00848","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":"2026-07-05T09:29:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IDz5fY25flZUyoBTy2raxVtq2QsZEXFf4/rD8chi+m2Uq1LnEqWTkYrFKJVpcMsEAgxEPMqUZjgW71nbbJCJDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T02:45:42.228595Z"},"content_sha256":"886de0a6ea82bbea8fcd58d424a1a843631ba77101ace2058c796392f6543273","schema_version":"1.0","event_id":"sha256:886de0a6ea82bbea8fcd58d424a1a843631ba77101ace2058c796392f6543273"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:I5T65WEXDP62VA6BR4GY7PBQGY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating Evidential Reliability In Pattern Recognition Based On Intuitionistic Fuzzy Sets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Juntao Xu, Tianxiang Zhan, Yong Deng","submitted_at":"2024-10-30T08:05:26Z","abstract_excerpt":"Determining the reliability of evidence sources is a crucial topic in Dempster-Shafer theory (DST). Previous approaches have addressed high conflicts between evidence sources using discounting methods, but these methods may not ensure the high efficiency of classification models. In this paper, we consider the combination of DS theory and Intuitionistic Fuzzy Sets (IFS) and propose an algorithm for quantifying the reliability of evidence sources, called Fuzzy Reliability Index (FRI). The FRI algorithm is based on decision quantification rules derived from IFS, defining the contribution of diff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.00848","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/2411.00848/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":"2026-07-05T09:29:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7EGwEYitU3mycZBiEtJbo52TgBD2fBIMkVXgmhIfRUcfjfUDHI3Zl5j1Rf1SE0N8WLzFsddR4PYIiI9/POqmBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T02:45:42.229816Z"},"content_sha256":"136ee7ab9ea64c809a342361e9488e3faec2cc99433622b11d260c5563a3593e","schema_version":"1.0","event_id":"sha256:136ee7ab9ea64c809a342361e9488e3faec2cc99433622b11d260c5563a3593e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I5T65WEXDP62VA6BR4GY7PBQGY/bundle.json","state_url":"https://pith.science/pith/I5T65WEXDP62VA6BR4GY7PBQGY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I5T65WEXDP62VA6BR4GY7PBQGY/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":"2026-08-04T02:45:42Z","links":{"resolver":"https://pith.science/pith/I5T65WEXDP62VA6BR4GY7PBQGY","bundle":"https://pith.science/pith/I5T65WEXDP62VA6BR4GY7PBQGY/bundle.json","state":"https://pith.science/pith/I5T65WEXDP62VA6BR4GY7PBQGY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I5T65WEXDP62VA6BR4GY7PBQGY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:I5T65WEXDP62VA6BR4GY7PBQGY","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":"f6c2cc5b2cedacaf9f49c52918ea072f193f5ec101a6294d9cec87d524f7605a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-30T08:05:26Z","title_canon_sha256":"11a66a29a379e42d8cb4cd6659207c9a6ffc09754ab83dea5bb404515ef85d10"},"schema_version":"1.0","source":{"id":"2411.00848","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.00848","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"arxiv_version","alias_value":"2411.00848v1","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.00848","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"pith_short_12","alias_value":"I5T65WEXDP62","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"pith_short_16","alias_value":"I5T65WEXDP62VA6B","created_at":"2026-07-05T09:29:51Z"},{"alias_kind":"pith_short_8","alias_value":"I5T65WEX","created_at":"2026-07-05T09:29:51Z"}],"graph_snapshots":[{"event_id":"sha256:136ee7ab9ea64c809a342361e9488e3faec2cc99433622b11d260c5563a3593e","target":"graph","created_at":"2026-07-05T09:29:51Z","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/2411.00848/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Determining the reliability of evidence sources is a crucial topic in Dempster-Shafer theory (DST). Previous approaches have addressed high conflicts between evidence sources using discounting methods, but these methods may not ensure the high efficiency of classification models. In this paper, we consider the combination of DS theory and Intuitionistic Fuzzy Sets (IFS) and propose an algorithm for quantifying the reliability of evidence sources, called Fuzzy Reliability Index (FRI). The FRI algorithm is based on decision quantification rules derived from IFS, defining the contribution of diff","authors_text":"Juntao Xu, Tianxiang Zhan, Yong Deng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-30T08:05:26Z","title":"Evaluating Evidential Reliability In Pattern Recognition Based On Intuitionistic Fuzzy Sets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.00848","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":"sha256:886de0a6ea82bbea8fcd58d424a1a843631ba77101ace2058c796392f6543273","target":"record","created_at":"2026-07-05T09:29:51Z","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":"f6c2cc5b2cedacaf9f49c52918ea072f193f5ec101a6294d9cec87d524f7605a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-30T08:05:26Z","title_canon_sha256":"11a66a29a379e42d8cb4cd6659207c9a6ffc09754ab83dea5bb404515ef85d10"},"schema_version":"1.0","source":{"id":"2411.00848","kind":"arxiv","version":1}},"canonical_sha256":"4767eed8971bfdaa83c18f0d8fbc303626de2e3daa472c7b0d347075852be58c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4767eed8971bfdaa83c18f0d8fbc303626de2e3daa472c7b0d347075852be58c","first_computed_at":"2026-07-05T09:29:51.460220Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:29:51.460220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BO/IYnWC4/iMHFd28eGBh3bGAaq6rSKREiP3fTXzz3JIb3nTfwOO8+p26n7BaocEkSseigwsXD4AN3knN3LBDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:29:51.460577Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.00848","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:886de0a6ea82bbea8fcd58d424a1a843631ba77101ace2058c796392f6543273","sha256:136ee7ab9ea64c809a342361e9488e3faec2cc99433622b11d260c5563a3593e"],"state_sha256":"0f4e4e4eb3246227018902665c2e3ce870a18c8078e017e02c49a9e3cc370935"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6feP+VHJzvcbhG7LgBsaTyem3/lruV3nWCUe0JKGBoJrffv6bxo5GbutbX81CRVh8Vh1b7MuGl2RzN0RgaSZCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T02:45:42.234730Z","bundle_sha256":"cc4e281f450825fd462d6dfc3f57f02b1183d930b6936c13557a34d374f51cf2"}}