{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SCWJW7HQSM6XWNZX3ED2I75PSE","short_pith_number":"pith:SCWJW7HQ","canonical_record":{"source":{"id":"2307.09312","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-18T14:57:12Z","cross_cats_sorted":["cs.LG","cs.MM","cs.SI"],"title_canon_sha256":"6ec6fa25c66ab349f3cb49f62ff07cb5a585413db3b252a79c86390046284c7f","abstract_canon_sha256":"22bfacac2dbcfead670fed525afe9020e47f31794d50cfae2310d7166b27174e"},"schema_version":"1.0"},"canonical_sha256":"90ac9b7cf0933d7b3737d907a47faf9131ce395f1641e1819845c9856f3c1c8f","source":{"kind":"arxiv","id":"2307.09312","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.09312","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"arxiv_version","alias_value":"2307.09312v4","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09312","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"pith_short_12","alias_value":"SCWJW7HQSM6X","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"pith_short_16","alias_value":"SCWJW7HQSM6XWNZX","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"pith_short_8","alias_value":"SCWJW7HQ","created_at":"2026-07-05T07:47:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SCWJW7HQSM6XWNZX3ED2I75PSE","target":"record","payload":{"canonical_record":{"source":{"id":"2307.09312","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-18T14:57:12Z","cross_cats_sorted":["cs.LG","cs.MM","cs.SI"],"title_canon_sha256":"6ec6fa25c66ab349f3cb49f62ff07cb5a585413db3b252a79c86390046284c7f","abstract_canon_sha256":"22bfacac2dbcfead670fed525afe9020e47f31794d50cfae2310d7166b27174e"},"schema_version":"1.0"},"canonical_sha256":"90ac9b7cf0933d7b3737d907a47faf9131ce395f1641e1819845c9856f3c1c8f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:47:57.792154Z","signature_b64":"df/bGyFQG55zrV8pOJH92PL+tMRPl1Pl8a1I+GrQT03PY/XgIIkSFcpx1Sv1p6EvWHqj1Rur5hnBSFRJweXfCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"90ac9b7cf0933d7b3737d907a47faf9131ce395f1641e1819845c9856f3c1c8f","last_reissued_at":"2026-07-05T07:47:57.791667Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:47:57.791667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.09312","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:47:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FJpqGehlgfrEC2LaLW9HMcWPJreaNfv58N3ujK3pIV0MYaQj82O7ASaqDZsf7nNHNUg9PNrNB5Q8NWYiB+pGAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T01:27:34.647941Z"},"content_sha256":"8b0990d700ac0260a6514f87b17ab581636ae40f6e8f04bf424a0b508be8bb77","schema_version":"1.0","event_id":"sha256:8b0990d700ac0260a6514f87b17ab581636ae40f6e8f04bf424a0b508be8bb77"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SCWJW7HQSM6XWNZX3ED2I75PSE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.MM","cs.SI"],"primary_cat":"cs.CL","authors_text":"Gaurav Sahu, Liam Hebert, Lukasz Golab, Nanda Kishore Sreenivas, Robin Cohen, Yuxuan Guo","submitted_at":"2023-07-18T14:57:12Z","abstract_excerpt":"We present the Multi-Modal Discussion Transformer (mDT), a novel methodfor detecting hate speech in online social networks such as Reddit discussions. In contrast to traditional comment-only methods, our approach to labelling a comment as hate speech involves a holistic analysis of text and images grounded in the discussion context. This is done by leveraging graph transformers to capture the contextual relationships in the discussion surrounding a comment and grounding the interwoven fusion layers that combine text and image embeddings instead of processing modalities separately. To evaluate "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09312","kind":"arxiv","version":4},"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/2307.09312/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":"2026-07-05T07:47:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3x8LWO/b4x8ELC9fOALMGgfSx+1GaN4+ghd0oHE24FIT9zK2kg3jsmBkBvTbw2O+aHlPMOllUBTuV9l9aM8iCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T01:27:34.648306Z"},"content_sha256":"076dea56ef30c399e7b2c21c808f789635ce8d12e9aff2117fdcc0adb7035f5b","schema_version":"1.0","event_id":"sha256:076dea56ef30c399e7b2c21c808f789635ce8d12e9aff2117fdcc0adb7035f5b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SCWJW7HQSM6XWNZX3ED2I75PSE/bundle.json","state_url":"https://pith.science/pith/SCWJW7HQSM6XWNZX3ED2I75PSE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SCWJW7HQSM6XWNZX3ED2I75PSE/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":"2026-07-16T01:27:34Z","links":{"resolver":"https://pith.science/pith/SCWJW7HQSM6XWNZX3ED2I75PSE","bundle":"https://pith.science/pith/SCWJW7HQSM6XWNZX3ED2I75PSE/bundle.json","state":"https://pith.science/pith/SCWJW7HQSM6XWNZX3ED2I75PSE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SCWJW7HQSM6XWNZX3ED2I75PSE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SCWJW7HQSM6XWNZX3ED2I75PSE","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":"22bfacac2dbcfead670fed525afe9020e47f31794d50cfae2310d7166b27174e","cross_cats_sorted":["cs.LG","cs.MM","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-18T14:57:12Z","title_canon_sha256":"6ec6fa25c66ab349f3cb49f62ff07cb5a585413db3b252a79c86390046284c7f"},"schema_version":"1.0","source":{"id":"2307.09312","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.09312","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"arxiv_version","alias_value":"2307.09312v4","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09312","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"pith_short_12","alias_value":"SCWJW7HQSM6X","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"pith_short_16","alias_value":"SCWJW7HQSM6XWNZX","created_at":"2026-07-05T07:47:57Z"},{"alias_kind":"pith_short_8","alias_value":"SCWJW7HQ","created_at":"2026-07-05T07:47:57Z"}],"graph_snapshots":[{"event_id":"sha256:076dea56ef30c399e7b2c21c808f789635ce8d12e9aff2117fdcc0adb7035f5b","target":"graph","created_at":"2026-07-05T07:47:57Z","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/2307.09312/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present the Multi-Modal Discussion Transformer (mDT), a novel methodfor detecting hate speech in online social networks such as Reddit discussions. In contrast to traditional comment-only methods, our approach to labelling a comment as hate speech involves a holistic analysis of text and images grounded in the discussion context. This is done by leveraging graph transformers to capture the contextual relationships in the discussion surrounding a comment and grounding the interwoven fusion layers that combine text and image embeddings instead of processing modalities separately. To evaluate ","authors_text":"Gaurav Sahu, Liam Hebert, Lukasz Golab, Nanda Kishore Sreenivas, Robin Cohen, Yuxuan Guo","cross_cats":["cs.LG","cs.MM","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-18T14:57:12Z","title":"Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09312","kind":"arxiv","version":4},"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":"sha256:8b0990d700ac0260a6514f87b17ab581636ae40f6e8f04bf424a0b508be8bb77","target":"record","created_at":"2026-07-05T07:47:57Z","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":"22bfacac2dbcfead670fed525afe9020e47f31794d50cfae2310d7166b27174e","cross_cats_sorted":["cs.LG","cs.MM","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-18T14:57:12Z","title_canon_sha256":"6ec6fa25c66ab349f3cb49f62ff07cb5a585413db3b252a79c86390046284c7f"},"schema_version":"1.0","source":{"id":"2307.09312","kind":"arxiv","version":4}},"canonical_sha256":"90ac9b7cf0933d7b3737d907a47faf9131ce395f1641e1819845c9856f3c1c8f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90ac9b7cf0933d7b3737d907a47faf9131ce395f1641e1819845c9856f3c1c8f","first_computed_at":"2026-07-05T07:47:57.791667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:47:57.791667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"df/bGyFQG55zrV8pOJH92PL+tMRPl1Pl8a1I+GrQT03PY/XgIIkSFcpx1Sv1p6EvWHqj1Rur5hnBSFRJweXfCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:47:57.792154Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.09312","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8b0990d700ac0260a6514f87b17ab581636ae40f6e8f04bf424a0b508be8bb77","sha256:076dea56ef30c399e7b2c21c808f789635ce8d12e9aff2117fdcc0adb7035f5b"],"state_sha256":"111cd96fdc9e4e7c9c7c4c60253e0e9b27c105eebc7799f42a322366a17d6f3b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6YAyFp7vngawUVm6vvMM5RyweeMCJNXIGwpPnL4XB69KOfifqnnoDnpK7v8wcQ9AJUxNKKVPoMmCfjSemMGxDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T01:27:34.650458Z","bundle_sha256":"2f4734706df38121df639359e60d10c4776103c9dfdd3f06809f3fa690d6618f"}}