{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:D6QUKWHWRTMQBQC3Z4B24YBWLM","short_pith_number":"pith:D6QUKWHW","canonical_record":{"source":{"id":"2605.17481","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T14:42:46Z","cross_cats_sorted":[],"title_canon_sha256":"46e945791d9aaa9c817822f7053f11702fc263f903a405da1bfa6137502c224d","abstract_canon_sha256":"95d56bb7321f1f36f7b341abac19d282976ecc4a26f4e2d8f994d14ba5b7a366"},"schema_version":"1.0"},"canonical_sha256":"1fa14558f68cd900c05bcf03ae60365b36660de334833a45efe23d20b9b0bd5b","source":{"kind":"arxiv","id":"2605.17481","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17481","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17481v1","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17481","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"pith_short_12","alias_value":"D6QUKWHWRTMQ","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"pith_short_16","alias_value":"D6QUKWHWRTMQBQC3","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"pith_short_8","alias_value":"D6QUKWHW","created_at":"2026-05-20T00:04:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:D6QUKWHWRTMQBQC3Z4B24YBWLM","target":"record","payload":{"canonical_record":{"source":{"id":"2605.17481","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T14:42:46Z","cross_cats_sorted":[],"title_canon_sha256":"46e945791d9aaa9c817822f7053f11702fc263f903a405da1bfa6137502c224d","abstract_canon_sha256":"95d56bb7321f1f36f7b341abac19d282976ecc4a26f4e2d8f994d14ba5b7a366"},"schema_version":"1.0"},"canonical_sha256":"1fa14558f68cd900c05bcf03ae60365b36660de334833a45efe23d20b9b0bd5b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:04:41.287626Z","signature_b64":"45hNJ4XrDlEKEquet56DBZrzOkVM5Ios2gsPMoFqDy2Lj3syR+5D5XJVTcEDRgFXl3aB7RkTxGKrYzfG4R4OCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1fa14558f68cd900c05bcf03ae60365b36660de334833a45efe23d20b9b0bd5b","last_reissued_at":"2026-05-20T00:04:41.286753Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:04:41.286753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.17481","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":"2026-05-20T00:04:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kPbfmDSOjse6fiZYybSt24y6n6CbykSS7oa7Lk8pSWv7qgdnVFwBl8c8J3dhiAihe1U4wU1mXoRpjFYfZ5xoAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T21:28:54.383300Z"},"content_sha256":"ced57fd1e0ab872140c476df4b90d2f772c985f8b991f294304ae971c846ab21","schema_version":"1.0","event_id":"sha256:ced57fd1e0ab872140c476df4b90d2f772c985f8b991f294304ae971c846ab21"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:D6QUKWHWRTMQBQC3Z4B24YBWLM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hybrid Feature Combinations with CNN for Bangla Fake News Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Babe Sultana, Md Gulzar Hussain, Md Rinku Ali","submitted_at":"2026-05-17T14:42:46Z","abstract_excerpt":"Nowadays, people in Bangladesh frequently rely on the internet and social media for daily news instead of traditional newspapers. However, the spread of false Bangla news through these platforms poses risks and challenges to the credibility of authentic media. Although several studies have been conducted on detecting Bangla fake news, there is still significant room for improvement in this area. To assist people, this research explores the effectiveness of feature selection approaches in identifying appropriate features, such as semantic, statistical, and character-level features, or their com"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17481","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/2605.17481/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T21:41:57.689088Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.648155Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"ed640739907eed99bea0cfb8f30d55ceab5fe49cb4f1b91895c948e653b0689c"},"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":"2026-05-20T00:04:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d/KT7+UTjWHCV9t9HAIESibDkKX9H4Grk6JEC43L/Q84byTZD/XxcWFJckIT6akKwRFR3MjzWfLTdZXdCCtnBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T21:28:54.384184Z"},"content_sha256":"befdde0ef82e77cef2b2fc5dc740867317f83d3a54c92cb766cd30f4ca7da7da","schema_version":"1.0","event_id":"sha256:befdde0ef82e77cef2b2fc5dc740867317f83d3a54c92cb766cd30f4ca7da7da"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D6QUKWHWRTMQBQC3Z4B24YBWLM/bundle.json","state_url":"https://pith.science/pith/D6QUKWHWRTMQBQC3Z4B24YBWLM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D6QUKWHWRTMQBQC3Z4B24YBWLM/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":"2026-06-08T21:28:54Z","links":{"resolver":"https://pith.science/pith/D6QUKWHWRTMQBQC3Z4B24YBWLM","bundle":"https://pith.science/pith/D6QUKWHWRTMQBQC3Z4B24YBWLM/bundle.json","state":"https://pith.science/pith/D6QUKWHWRTMQBQC3Z4B24YBWLM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D6QUKWHWRTMQBQC3Z4B24YBWLM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:D6QUKWHWRTMQBQC3Z4B24YBWLM","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":"95d56bb7321f1f36f7b341abac19d282976ecc4a26f4e2d8f994d14ba5b7a366","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T14:42:46Z","title_canon_sha256":"46e945791d9aaa9c817822f7053f11702fc263f903a405da1bfa6137502c224d"},"schema_version":"1.0","source":{"id":"2605.17481","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17481","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17481v1","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17481","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"pith_short_12","alias_value":"D6QUKWHWRTMQ","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"pith_short_16","alias_value":"D6QUKWHWRTMQBQC3","created_at":"2026-05-20T00:04:41Z"},{"alias_kind":"pith_short_8","alias_value":"D6QUKWHW","created_at":"2026-05-20T00:04:41Z"}],"graph_snapshots":[{"event_id":"sha256:befdde0ef82e77cef2b2fc5dc740867317f83d3a54c92cb766cd30f4ca7da7da","target":"graph","created_at":"2026-05-20T00:04:41Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T21:41:57.689088Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.648155Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.17481/integrity.json","findings":[],"snapshot_sha256":"ed640739907eed99bea0cfb8f30d55ceab5fe49cb4f1b91895c948e653b0689c","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Nowadays, people in Bangladesh frequently rely on the internet and social media for daily news instead of traditional newspapers. However, the spread of false Bangla news through these platforms poses risks and challenges to the credibility of authentic media. Although several studies have been conducted on detecting Bangla fake news, there is still significant room for improvement in this area. To assist people, this research explores the effectiveness of feature selection approaches in identifying appropriate features, such as semantic, statistical, and character-level features, or their com","authors_text":"Babe Sultana, Md Gulzar Hussain, Md Rinku Ali","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T14:42:46Z","title":"Hybrid Feature Combinations with CNN for Bangla Fake News Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17481","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:ced57fd1e0ab872140c476df4b90d2f772c985f8b991f294304ae971c846ab21","target":"record","created_at":"2026-05-20T00:04:41Z","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":"95d56bb7321f1f36f7b341abac19d282976ecc4a26f4e2d8f994d14ba5b7a366","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T14:42:46Z","title_canon_sha256":"46e945791d9aaa9c817822f7053f11702fc263f903a405da1bfa6137502c224d"},"schema_version":"1.0","source":{"id":"2605.17481","kind":"arxiv","version":1}},"canonical_sha256":"1fa14558f68cd900c05bcf03ae60365b36660de334833a45efe23d20b9b0bd5b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1fa14558f68cd900c05bcf03ae60365b36660de334833a45efe23d20b9b0bd5b","first_computed_at":"2026-05-20T00:04:41.286753Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:04:41.286753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"45hNJ4XrDlEKEquet56DBZrzOkVM5Ios2gsPMoFqDy2Lj3syR+5D5XJVTcEDRgFXl3aB7RkTxGKrYzfG4R4OCg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:04:41.287626Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17481","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ced57fd1e0ab872140c476df4b90d2f772c985f8b991f294304ae971c846ab21","sha256:befdde0ef82e77cef2b2fc5dc740867317f83d3a54c92cb766cd30f4ca7da7da"],"state_sha256":"2193530d058149162e6ab190efe7aacb2a4d27bce348aebbb58abc098e26207a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C+1wtoxILLWje7yLz8BvEoeRRoJbp7R4xhlmCwPB5r3CZ2GiqKgeLBzYV+sO7iDZgJJTarCVQ9gaP5Eo2WsQCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T21:28:54.387860Z","bundle_sha256":"a0159e4a9ff8e1dc56dc5b6bfd088c2e123607a6c48264562be304ba49761b59"}}