{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JFQCJIXWOY4RWO7ARX6LMRTCRY","short_pith_number":"pith:JFQCJIXW","canonical_record":{"source":{"id":"2607.08698","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-07-09T16:55:46Z","cross_cats_sorted":[],"title_canon_sha256":"36b838cb0e2e26f93e4379e896353b6bb5d555a63e2d498a4eaa4c9fe5dea098","abstract_canon_sha256":"40900811229b83c3226995655504b4cf2f04a8de2f4f1599f7140a46d04e5774"},"schema_version":"1.0"},"canonical_sha256":"496024a2f676391b3be08dfcb646628e26e1bf30c12aa4d7d974c2090e151370","source":{"kind":"arxiv","id":"2607.08698","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08698","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08698v1","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08698","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"pith_short_12","alias_value":"JFQCJIXWOY4R","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"pith_short_16","alias_value":"JFQCJIXWOY4RWO7A","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"pith_short_8","alias_value":"JFQCJIXW","created_at":"2026-07-10T01:19:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JFQCJIXWOY4RWO7ARX6LMRTCRY","target":"record","payload":{"canonical_record":{"source":{"id":"2607.08698","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-07-09T16:55:46Z","cross_cats_sorted":[],"title_canon_sha256":"36b838cb0e2e26f93e4379e896353b6bb5d555a63e2d498a4eaa4c9fe5dea098","abstract_canon_sha256":"40900811229b83c3226995655504b4cf2f04a8de2f4f1599f7140a46d04e5774"},"schema_version":"1.0"},"canonical_sha256":"496024a2f676391b3be08dfcb646628e26e1bf30c12aa4d7d974c2090e151370","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T01:19:57.834262Z","signature_b64":"7dr5sPZEdyLRDs7NSn7VuPYPzjwxLFBwjZ4QmXrmQeEUxH0WTT1EM+I4vRN39FgNgkK3m1gujZ4s1+ts/HoPAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"496024a2f676391b3be08dfcb646628e26e1bf30c12aa4d7d974c2090e151370","last_reissued_at":"2026-07-10T01:19:57.833862Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T01:19:57.833862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.08698","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":"2026-07-10T01:19:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xYXD1OyvF8syzCPu5nYIv+vKM33znvXZ/z3xfrGlKQv7Cl5p2EtOfyO586uQkQdfO5NKMPFOY9tCVV2CIIHQBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:57:34.160099Z"},"content_sha256":"0729ad8e65dfe31cc943e747f0681a9ab517b883672343129f6b7c9c2bcf13c7","schema_version":"1.0","event_id":"sha256:0729ad8e65dfe31cc943e747f0681a9ab517b883672343129f6b7c9c2bcf13c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JFQCJIXWOY4RWO7ARX6LMRTCRY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"How YouTube Frames ChatGPT Use in Education: An Epistemic Network Analysis with Supporting Multimodal Metadata","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Mohammad Al-Ratrout, Mohammad Fahim Abrar, Roghayeh Leila Barmaki, Shayla Sharmin","submitted_at":"2026-07-09T16:55:46Z","abstract_excerpt":"We examine educational YouTube videos through multimodal metadata, such as transcripts, titles, thumbnails, and viewer comments, to investigate how ChatGPT is framed across creator groups and how those framings relate to audience response and platform reach. Little is known about how large language models are presented to learners in informal, creator-driven public discourse. Following PRISMA, we selected 52 videos for analysis. We identified three structurally distinct discourse groups: (G1) videos that positioned ChatGPT as a conceptual scaffold for thinking, (G2) videos oriented toward retr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08698","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/2607.08698/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":"2026-07-10T01:19:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B/y9U+GYmQeiLA8EuvHI8WZcIo1qgEH3gomiUnBgkjozOUP2/lCu+GGNqzF8gZCJzfJ2gPb5zYm8SPv3a2lNCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:57:34.160712Z"},"content_sha256":"004a36e9ebc1f4ff883a174b46e54a40823f0ae6130fe714485f7298095392df","schema_version":"1.0","event_id":"sha256:004a36e9ebc1f4ff883a174b46e54a40823f0ae6130fe714485f7298095392df"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:JFQCJIXWOY4RWO7ARX6LMRTCRY","target":"integrity","payload":{"note":"DOI '10.2196/48392' as printed in the bibliography is syntactically invalid and cannot resolve.","snippet":"Bertalan Mesko. 2023. The ChatGPT (Generative Artificial Intelligence) Revo- lution Has Made Artificial Intelligence Approachable for Medical Professionals. Journal of Medical Internet Research25 (2023), e48392. doi:10.2196/48392","arxiv_id":"2607.08698","detector":"doi_compliance","evidence":{"ref_index":18,"raw_excerpt":"Bertalan Mesko. 2023. The ChatGPT (Generative Artificial Intelligence) Revo- lution Has Made Artificial Intelligence Approachable for Medical Professionals. Journal of Medical Internet Research25 (2023), e48392. doi:10.2196/48392","verdict_class":"incontrovertible","doi_as_printed":"10.2196/48392"},"severity":"critical","ref_index":18,"audited_at":"2026-07-17T04:37:17.201540Z","event_type":"pith.integrity.v1","detected_doi":"10.2196/48392","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"broken_identifier","evidence_hash":"0c43fe170b00db2916ac929ed5237cfcf7e95f1c868002eda3ac64d29ff7f073","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":13433,"payload_sha256":"9d4d78320df54a274baa6e88393cee20e2a700b32e62278802f71024d993f1f6","signature_b64":"IQCkUT1WzxwkhJtOBBNCDOo5cN2o5d8UEcC7RwyMgmMInZNYGuiMn/SHC/VcHwmyhReYfyuSSCJlBPQuYXF+CA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-17T04:40:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tS+OrdjgMbkGF462G/QPTgkEdOjPXKMSx4APB3AzBmnMy2lThkQVx2GD+FWi97jU19BYpd1I5KJpAq1yYp4PCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:57:34.164380Z"},"content_sha256":"8886128c94e1840bacb647af2bcd03a773dc238163355e2a8c87012e24b969d8","schema_version":"1.0","event_id":"sha256:8886128c94e1840bacb647af2bcd03a773dc238163355e2a8c87012e24b969d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JFQCJIXWOY4RWO7ARX6LMRTCRY/bundle.json","state_url":"https://pith.science/pith/JFQCJIXWOY4RWO7ARX6LMRTCRY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JFQCJIXWOY4RWO7ARX6LMRTCRY/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":"2026-08-15T05:57:34Z","links":{"resolver":"https://pith.science/pith/JFQCJIXWOY4RWO7ARX6LMRTCRY","bundle":"https://pith.science/pith/JFQCJIXWOY4RWO7ARX6LMRTCRY/bundle.json","state":"https://pith.science/pith/JFQCJIXWOY4RWO7ARX6LMRTCRY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JFQCJIXWOY4RWO7ARX6LMRTCRY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JFQCJIXWOY4RWO7ARX6LMRTCRY","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"40900811229b83c3226995655504b4cf2f04a8de2f4f1599f7140a46d04e5774","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-07-09T16:55:46Z","title_canon_sha256":"36b838cb0e2e26f93e4379e896353b6bb5d555a63e2d498a4eaa4c9fe5dea098"},"schema_version":"1.0","source":{"id":"2607.08698","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08698","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08698v1","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08698","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"pith_short_12","alias_value":"JFQCJIXWOY4R","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"pith_short_16","alias_value":"JFQCJIXWOY4RWO7A","created_at":"2026-07-10T01:19:57Z"},{"alias_kind":"pith_short_8","alias_value":"JFQCJIXW","created_at":"2026-07-10T01:19:57Z"}],"graph_snapshots":[{"event_id":"sha256:004a36e9ebc1f4ff883a174b46e54a40823f0ae6130fe714485f7298095392df","target":"graph","created_at":"2026-07-10T01:19:57Z","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/2607.08698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We examine educational YouTube videos through multimodal metadata, such as transcripts, titles, thumbnails, and viewer comments, to investigate how ChatGPT is framed across creator groups and how those framings relate to audience response and platform reach. Little is known about how large language models are presented to learners in informal, creator-driven public discourse. Following PRISMA, we selected 52 videos for analysis. We identified three structurally distinct discourse groups: (G1) videos that positioned ChatGPT as a conceptual scaffold for thinking, (G2) videos oriented toward retr","authors_text":"Mohammad Al-Ratrout, Mohammad Fahim Abrar, Roghayeh Leila Barmaki, Shayla Sharmin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-07-09T16:55:46Z","title":"How YouTube Frames ChatGPT Use in Education: An Epistemic Network Analysis with Supporting Multimodal Metadata"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08698","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":"sha256:0729ad8e65dfe31cc943e747f0681a9ab517b883672343129f6b7c9c2bcf13c7","target":"record","created_at":"2026-07-10T01:19:57Z","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":"40900811229b83c3226995655504b4cf2f04a8de2f4f1599f7140a46d04e5774","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-07-09T16:55:46Z","title_canon_sha256":"36b838cb0e2e26f93e4379e896353b6bb5d555a63e2d498a4eaa4c9fe5dea098"},"schema_version":"1.0","source":{"id":"2607.08698","kind":"arxiv","version":1}},"canonical_sha256":"496024a2f676391b3be08dfcb646628e26e1bf30c12aa4d7d974c2090e151370","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"496024a2f676391b3be08dfcb646628e26e1bf30c12aa4d7d974c2090e151370","first_computed_at":"2026-07-10T01:19:57.833862Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:57.833862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7dr5sPZEdyLRDs7NSn7VuPYPzjwxLFBwjZ4QmXrmQeEUxH0WTT1EM+I4vRN39FgNgkK3m1gujZ4s1+ts/HoPAA==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:57.834262Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08698","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0729ad8e65dfe31cc943e747f0681a9ab517b883672343129f6b7c9c2bcf13c7","sha256:004a36e9ebc1f4ff883a174b46e54a40823f0ae6130fe714485f7298095392df","sha256:8886128c94e1840bacb647af2bcd03a773dc238163355e2a8c87012e24b969d8"],"state_sha256":"477d3c90c4fec7906aa62e8697d5dc1c6a6f5be121e577c411a77c3d459cadad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rwWStROYSCFOpFFP/opSgcU2M/CKCR65ECl+A+pdAhS0cokNN7k8aHBXnQydRZ4NCN1alB+X3moG/2LClGtGCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T05:57:34.166591Z","bundle_sha256":"77b39cec73db4c0870edeadf820887b34a65bc8e30860ffa96bd1ce44ce1981d"}}