{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:WEEXVDTGAOFL2ADM35V2GDQVGP","short_pith_number":"pith:WEEXVDTG","canonical_record":{"source":{"id":"1710.08721","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-24T12:11:07Z","cross_cats_sorted":[],"title_canon_sha256":"de93c615e6b4d20cb0651e09e61cd806fd8212489ec83679a940682f78ed9197","abstract_canon_sha256":"b409f9b54b1dcff322edc669c318c707276e2cef3594b16f9928c87663188940"},"schema_version":"1.0"},"canonical_sha256":"b1097a8e66038abd006cdf6ba30e1533e16bc0ef22ccbae3c290f089d2428bf9","source":{"kind":"arxiv","id":"1710.08721","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.08721","created_at":"2026-05-18T00:32:03Z"},{"alias_kind":"arxiv_version","alias_value":"1710.08721v1","created_at":"2026-05-18T00:32:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.08721","created_at":"2026-05-18T00:32:03Z"},{"alias_kind":"pith_short_12","alias_value":"WEEXVDTGAOFL","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WEEXVDTGAOFL2ADM","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WEEXVDTG","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:WEEXVDTGAOFL2ADM35V2GDQVGP","target":"record","payload":{"canonical_record":{"source":{"id":"1710.08721","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-24T12:11:07Z","cross_cats_sorted":[],"title_canon_sha256":"de93c615e6b4d20cb0651e09e61cd806fd8212489ec83679a940682f78ed9197","abstract_canon_sha256":"b409f9b54b1dcff322edc669c318c707276e2cef3594b16f9928c87663188940"},"schema_version":"1.0"},"canonical_sha256":"b1097a8e66038abd006cdf6ba30e1533e16bc0ef22ccbae3c290f089d2428bf9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:32:03.996131Z","signature_b64":"LteViRfW33V0VdxRidRcDwCUHPp5vBADBd3uYm/Ju0dkZIrM0bYPXo/GvzWyxye5khTD30KgMYmd/OvZykAbAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1097a8e66038abd006cdf6ba30e1533e16bc0ef22ccbae3c290f089d2428bf9","last_reissued_at":"2026-05-18T00:32:03.995463Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:32:03.995463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.08721","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":"2026-05-18T00:32:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1L732y7ciiCbaw+mfrZsAKwRq81GKwu9zpe3HkpNgQEXA26m12ajvmgel1jWj3fS0ARWEnDqiaoRZsGnDes2AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T11:56:37.151778Z"},"content_sha256":"35ed1b15227223b62bbdfbbcc575befea7417d69ec18a6a8eca477f49e806f38","schema_version":"1.0","event_id":"sha256:35ed1b15227223b62bbdfbbcc575befea7417d69ec18a6a8eca477f49e806f38"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:WEEXVDTGAOFL2ADM35V2GDQVGP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Clickbait Identification using Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Philippe Thomas","submitted_at":"2017-10-24T12:11:07Z","abstract_excerpt":"This paper presents the results of our participation in the Clickbait Detection Challenge 2017. The system relies on a fusion of neural networks, incorporating different types of available informations. It does not require any linguistic preprocessing, and hence generalizes more easily to new domains and languages. The final combined model achieves a mean squared error of 0.0428, an accuracy of 0.826, and a F1 score of 0.564. According to the official evaluation metric the system ranked 6th of the 13 participating teams."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.08721","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":""},"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":"2026-05-18T00:32:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S/Z+v1oGGm8DJFdxEVNmXorx3Age+EIMPQjVeuRVdqs8VNxKrCBer45xv2rJWB5TBaMw0QEpML40s7c/GBp9Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T11:56:37.152112Z"},"content_sha256":"c00c5ef28268f583fa8a0c2b95db6d7d900f98ae3a9e6242c890408775761af0","schema_version":"1.0","event_id":"sha256:c00c5ef28268f583fa8a0c2b95db6d7d900f98ae3a9e6242c890408775761af0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WEEXVDTGAOFL2ADM35V2GDQVGP/bundle.json","state_url":"https://pith.science/pith/WEEXVDTGAOFL2ADM35V2GDQVGP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WEEXVDTGAOFL2ADM35V2GDQVGP/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":"2026-06-29T11:56:37Z","links":{"resolver":"https://pith.science/pith/WEEXVDTGAOFL2ADM35V2GDQVGP","bundle":"https://pith.science/pith/WEEXVDTGAOFL2ADM35V2GDQVGP/bundle.json","state":"https://pith.science/pith/WEEXVDTGAOFL2ADM35V2GDQVGP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WEEXVDTGAOFL2ADM35V2GDQVGP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WEEXVDTGAOFL2ADM35V2GDQVGP","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":"b409f9b54b1dcff322edc669c318c707276e2cef3594b16f9928c87663188940","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-24T12:11:07Z","title_canon_sha256":"de93c615e6b4d20cb0651e09e61cd806fd8212489ec83679a940682f78ed9197"},"schema_version":"1.0","source":{"id":"1710.08721","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.08721","created_at":"2026-05-18T00:32:03Z"},{"alias_kind":"arxiv_version","alias_value":"1710.08721v1","created_at":"2026-05-18T00:32:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.08721","created_at":"2026-05-18T00:32:03Z"},{"alias_kind":"pith_short_12","alias_value":"WEEXVDTGAOFL","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WEEXVDTGAOFL2ADM","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WEEXVDTG","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:c00c5ef28268f583fa8a0c2b95db6d7d900f98ae3a9e6242c890408775761af0","target":"graph","created_at":"2026-05-18T00:32:03Z","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"},"paper":{"abstract_excerpt":"This paper presents the results of our participation in the Clickbait Detection Challenge 2017. The system relies on a fusion of neural networks, incorporating different types of available informations. It does not require any linguistic preprocessing, and hence generalizes more easily to new domains and languages. The final combined model achieves a mean squared error of 0.0428, an accuracy of 0.826, and a F1 score of 0.564. According to the official evaluation metric the system ranked 6th of the 13 participating teams.","authors_text":"Philippe Thomas","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-24T12:11:07Z","title":"Clickbait Identification using Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.08721","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":"sha256:35ed1b15227223b62bbdfbbcc575befea7417d69ec18a6a8eca477f49e806f38","target":"record","created_at":"2026-05-18T00:32:03Z","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":"b409f9b54b1dcff322edc669c318c707276e2cef3594b16f9928c87663188940","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-24T12:11:07Z","title_canon_sha256":"de93c615e6b4d20cb0651e09e61cd806fd8212489ec83679a940682f78ed9197"},"schema_version":"1.0","source":{"id":"1710.08721","kind":"arxiv","version":1}},"canonical_sha256":"b1097a8e66038abd006cdf6ba30e1533e16bc0ef22ccbae3c290f089d2428bf9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1097a8e66038abd006cdf6ba30e1533e16bc0ef22ccbae3c290f089d2428bf9","first_computed_at":"2026-05-18T00:32:03.995463Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:32:03.995463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LteViRfW33V0VdxRidRcDwCUHPp5vBADBd3uYm/Ju0dkZIrM0bYPXo/GvzWyxye5khTD30KgMYmd/OvZykAbAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:32:03.996131Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.08721","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:35ed1b15227223b62bbdfbbcc575befea7417d69ec18a6a8eca477f49e806f38","sha256:c00c5ef28268f583fa8a0c2b95db6d7d900f98ae3a9e6242c890408775761af0"],"state_sha256":"a1e08d880e416cdef846530225c828647eb325619cb9910785200a453f8a4e65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xREo6E3w2gAjnfYw0lNJ2mkPNJvLpOXC8hXgrGGwbpJ6U1OaOT5DfHEdgAMoAuYFyA4t/UqGicM9lOTLw0hzCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T11:56:37.153886Z","bundle_sha256":"c9d792b4fdbd871c3426e39592c344903e222a30bcdab5b186e908aee7e7bd56"}}