{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:B2XN5FLT4DBCUPAGQINSL6ZHRD","short_pith_number":"pith:B2XN5FLT","canonical_record":{"source":{"id":"2312.11541","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-12-16T03:02:05Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"de9e8ce18d2eaedbe0870ce5b3ea972dbda90b5e149be5bfb8ac290adb1f272d","abstract_canon_sha256":"b6d525e314598e7ca0ebe725d09123290b39737b914b9cd815462c36a78671b7"},"schema_version":"1.0"},"canonical_sha256":"0eaede9573e0c22a3c06821b25fb2788d628c5d9b0fbdb200f0a09faa13f2565","source":{"kind":"arxiv","id":"2312.11541","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11541","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11541v1","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11541","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"pith_short_12","alias_value":"B2XN5FLT4DBC","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"pith_short_16","alias_value":"B2XN5FLT4DBCUPAG","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"pith_short_8","alias_value":"B2XN5FLT","created_at":"2026-07-05T07:25:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:B2XN5FLT4DBCUPAGQINSL6ZHRD","target":"record","payload":{"canonical_record":{"source":{"id":"2312.11541","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-12-16T03:02:05Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"de9e8ce18d2eaedbe0870ce5b3ea972dbda90b5e149be5bfb8ac290adb1f272d","abstract_canon_sha256":"b6d525e314598e7ca0ebe725d09123290b39737b914b9cd815462c36a78671b7"},"schema_version":"1.0"},"canonical_sha256":"0eaede9573e0c22a3c06821b25fb2788d628c5d9b0fbdb200f0a09faa13f2565","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:25:51.035857Z","signature_b64":"IXIkYoFC0I+9bR3Q/b3kVQKWY+W7zWaJ+G9blRqmj5KxvWyH/9xGZr+hnUHuPvq/vLr2/VOAVAL0w8CNbwZhAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0eaede9573e0c22a3c06821b25fb2788d628c5d9b0fbdb200f0a09faa13f2565","last_reissued_at":"2026-07-05T07:25:51.035302Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:25:51.035302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.11541","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":"2026-07-05T07:25:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vRqK078YkuvD0AQ1PsdFRXEN5V+MgYQqb1Fr7Ve62/rtE5dlDnSfTIdWYG3b1g8Wdw6fah3S0CoeYVCMW5c3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:41:10.934931Z"},"content_sha256":"3fad182b416551699831dab50b8d177bdcae5363dd215dd9bac1e285975d9ae2","schema_version":"1.0","event_id":"sha256:3fad182b416551699831dab50b8d177bdcae5363dd215dd9bac1e285975d9ae2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:B2XN5FLT4DBCUPAGQINSL6ZHRD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Akash Ghosh, Aman Chadha, Arkadeep Acharya, Raghav Jain, Setu Sinha, Sriparna Saha","submitted_at":"2023-12-16T03:02:05Z","abstract_excerpt":"In the era of modern healthcare, swiftly generating medical question summaries is crucial for informed and timely patient care. Despite the increasing complexity and volume of medical data, existing studies have focused solely on text-based summarization, neglecting the integration of visual information. Recognizing the untapped potential of combining textual queries with visual representations of medical conditions, we introduce the Multimodal Medical Question Summarization (MMQS) Dataset. This dataset, a major contribution to our work, pairs medical queries with visual aids, facilitating a r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11541","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/2312.11541/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":"2026-07-05T07:25:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zCxCcQfHDhb9ow8SmelH4MMVLz5Q/lFIOV7b3oOm832aaaBSY/rhXCzsdK+iRcB5PLprsotGMvZH1HcLhf1tDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:41:10.935774Z"},"content_sha256":"fe1f7d196c24617e495c6debc721df95c415af95644dc3a5df11b6977852c299","schema_version":"1.0","event_id":"sha256:fe1f7d196c24617e495c6debc721df95c415af95644dc3a5df11b6977852c299"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B2XN5FLT4DBCUPAGQINSL6ZHRD/bundle.json","state_url":"https://pith.science/pith/B2XN5FLT4DBCUPAGQINSL6ZHRD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B2XN5FLT4DBCUPAGQINSL6ZHRD/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":"2026-08-13T10:41:10Z","links":{"resolver":"https://pith.science/pith/B2XN5FLT4DBCUPAGQINSL6ZHRD","bundle":"https://pith.science/pith/B2XN5FLT4DBCUPAGQINSL6ZHRD/bundle.json","state":"https://pith.science/pith/B2XN5FLT4DBCUPAGQINSL6ZHRD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B2XN5FLT4DBCUPAGQINSL6ZHRD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:B2XN5FLT4DBCUPAGQINSL6ZHRD","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":"b6d525e314598e7ca0ebe725d09123290b39737b914b9cd815462c36a78671b7","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-12-16T03:02:05Z","title_canon_sha256":"de9e8ce18d2eaedbe0870ce5b3ea972dbda90b5e149be5bfb8ac290adb1f272d"},"schema_version":"1.0","source":{"id":"2312.11541","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11541","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11541v1","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11541","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"pith_short_12","alias_value":"B2XN5FLT4DBC","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"pith_short_16","alias_value":"B2XN5FLT4DBCUPAG","created_at":"2026-07-05T07:25:51Z"},{"alias_kind":"pith_short_8","alias_value":"B2XN5FLT","created_at":"2026-07-05T07:25:51Z"}],"graph_snapshots":[{"event_id":"sha256:fe1f7d196c24617e495c6debc721df95c415af95644dc3a5df11b6977852c299","target":"graph","created_at":"2026-07-05T07:25:51Z","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/2312.11541/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the era of modern healthcare, swiftly generating medical question summaries is crucial for informed and timely patient care. Despite the increasing complexity and volume of medical data, existing studies have focused solely on text-based summarization, neglecting the integration of visual information. Recognizing the untapped potential of combining textual queries with visual representations of medical conditions, we introduce the Multimodal Medical Question Summarization (MMQS) Dataset. This dataset, a major contribution to our work, pairs medical queries with visual aids, facilitating a r","authors_text":"Akash Ghosh, Aman Chadha, Arkadeep Acharya, Raghav Jain, Setu Sinha, Sriparna Saha","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-12-16T03:02:05Z","title":"CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11541","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":"sha256:3fad182b416551699831dab50b8d177bdcae5363dd215dd9bac1e285975d9ae2","target":"record","created_at":"2026-07-05T07:25:51Z","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":"b6d525e314598e7ca0ebe725d09123290b39737b914b9cd815462c36a78671b7","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-12-16T03:02:05Z","title_canon_sha256":"de9e8ce18d2eaedbe0870ce5b3ea972dbda90b5e149be5bfb8ac290adb1f272d"},"schema_version":"1.0","source":{"id":"2312.11541","kind":"arxiv","version":1}},"canonical_sha256":"0eaede9573e0c22a3c06821b25fb2788d628c5d9b0fbdb200f0a09faa13f2565","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0eaede9573e0c22a3c06821b25fb2788d628c5d9b0fbdb200f0a09faa13f2565","first_computed_at":"2026-07-05T07:25:51.035302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:25:51.035302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IXIkYoFC0I+9bR3Q/b3kVQKWY+W7zWaJ+G9blRqmj5KxvWyH/9xGZr+hnUHuPvq/vLr2/VOAVAL0w8CNbwZhAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:25:51.035857Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.11541","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3fad182b416551699831dab50b8d177bdcae5363dd215dd9bac1e285975d9ae2","sha256:fe1f7d196c24617e495c6debc721df95c415af95644dc3a5df11b6977852c299"],"state_sha256":"d34f3c4f62320bb242603e2d01f594142f3dc2fbda7c9d7f303be151bd0ac086"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bDcMlAOr1/bEA49U1vsC1jXUThvEFul9232O4SAA6RjL5PRDo9v9f4IvoVEmT4y6Ce++r7jWvL/uk4jBy1XXDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T10:41:10.942577Z","bundle_sha256":"2729df48145e3116dd4225a6f9661f54934fc105cc38df463930b75d001aca30"}}