{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CYRWOPCJVGCT5NFMNQZDSQE7ZN","short_pith_number":"pith:CYRWOPCJ","canonical_record":{"source":{"id":"2502.06355","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-02-10T11:10:41Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e2e7cf6290a4a61461f3acfbf8cbf556a04a7f04cf9f062b1f6b0f9791b10699","abstract_canon_sha256":"d1f9f3c92bec82c9fda52e98b01dad0ed17b96eafa2697560cf8189c5d493e63"},"schema_version":"1.0"},"canonical_sha256":"1623673c49a9853eb4ac6c3239409fcb59312079d851eee8a52d79d664b4b0e8","source":{"kind":"arxiv","id":"2502.06355","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06355","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06355v3","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06355","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"pith_short_12","alias_value":"CYRWOPCJVGCT","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"pith_short_16","alias_value":"CYRWOPCJVGCT5NFM","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"pith_short_8","alias_value":"CYRWOPCJ","created_at":"2026-07-05T11:34:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CYRWOPCJVGCT5NFMNQZDSQE7ZN","target":"record","payload":{"canonical_record":{"source":{"id":"2502.06355","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-02-10T11:10:41Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e2e7cf6290a4a61461f3acfbf8cbf556a04a7f04cf9f062b1f6b0f9791b10699","abstract_canon_sha256":"d1f9f3c92bec82c9fda52e98b01dad0ed17b96eafa2697560cf8189c5d493e63"},"schema_version":"1.0"},"canonical_sha256":"1623673c49a9853eb4ac6c3239409fcb59312079d851eee8a52d79d664b4b0e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:04.323814Z","signature_b64":"O+M6rqqbNKfA20Jtp2foB1rnazDMF8O2H6AIoOGesc0HAJfpP/o1Uj4FQj75xc4S1TxeIQfvrq9hk26AsqMSAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1623673c49a9853eb4ac6c3239409fcb59312079d851eee8a52d79d664b4b0e8","last_reissued_at":"2026-07-05T11:34:04.323374Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:04.323374Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.06355","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:34:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qpz/Y6oDB9fkCMhSpIOYrKDGq0NTaep3HhfvebkVOhrwlo3Hsad3gINBSrxy+4m2hIYRxetJUd9VFCpb/dDuBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:05:30.827031Z"},"content_sha256":"87fb736cf7bcfbed5d9a8a52221725e682bd8bb0591a0aa03c0cfbe4800256af","schema_version":"1.0","event_id":"sha256:87fb736cf7bcfbed5d9a8a52221725e682bd8bb0591a0aa03c0cfbe4800256af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CYRWOPCJVGCT5NFMNQZDSQE7ZN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DC","authors_text":"Nirvana Meratnia, Timo Fudala, Vasileios Tsouvalas","submitted_at":"2025-02-10T11:10:41Z","abstract_excerpt":"Multimodal transformers integrate diverse data types like images, audio, and text, advancing tasks such as audio-visual understanding and image-text retrieval; yet their high parameterization limits deployment on resource-constrained edge devices. Split Learning (SL), which partitions models at a designated cut-layer to offload compute-intensive operations to the server, offers a promising approach for distributed training of multimodal transformers, though its application remains underexplored. We present MPSL, a parallel SL approach for computational efficient fine-tuning of multimodal trans"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06355","kind":"arxiv","version":3},"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/2502.06355/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":"2026-07-05T11:34:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OIRL77vnlvdfs7XdTuxJI02dkM9O0D3Q44/Nis3XEoTCbtFotxKwJywswal9ipM1bRxwt4lffCz85SVCqOzrDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:05:30.827421Z"},"content_sha256":"024e3783c28ab47b473593e411c55a77de8b6182f1a598c5fe9eed3a2b8315a6","schema_version":"1.0","event_id":"sha256:024e3783c28ab47b473593e411c55a77de8b6182f1a598c5fe9eed3a2b8315a6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CYRWOPCJVGCT5NFMNQZDSQE7ZN/bundle.json","state_url":"https://pith.science/pith/CYRWOPCJVGCT5NFMNQZDSQE7ZN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CYRWOPCJVGCT5NFMNQZDSQE7ZN/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":"2026-08-03T17:05:30Z","links":{"resolver":"https://pith.science/pith/CYRWOPCJVGCT5NFMNQZDSQE7ZN","bundle":"https://pith.science/pith/CYRWOPCJVGCT5NFMNQZDSQE7ZN/bundle.json","state":"https://pith.science/pith/CYRWOPCJVGCT5NFMNQZDSQE7ZN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CYRWOPCJVGCT5NFMNQZDSQE7ZN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CYRWOPCJVGCT5NFMNQZDSQE7ZN","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":"d1f9f3c92bec82c9fda52e98b01dad0ed17b96eafa2697560cf8189c5d493e63","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-02-10T11:10:41Z","title_canon_sha256":"e2e7cf6290a4a61461f3acfbf8cbf556a04a7f04cf9f062b1f6b0f9791b10699"},"schema_version":"1.0","source":{"id":"2502.06355","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06355","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06355v3","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06355","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"pith_short_12","alias_value":"CYRWOPCJVGCT","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"pith_short_16","alias_value":"CYRWOPCJVGCT5NFM","created_at":"2026-07-05T11:34:04Z"},{"alias_kind":"pith_short_8","alias_value":"CYRWOPCJ","created_at":"2026-07-05T11:34:04Z"}],"graph_snapshots":[{"event_id":"sha256:024e3783c28ab47b473593e411c55a77de8b6182f1a598c5fe9eed3a2b8315a6","target":"graph","created_at":"2026-07-05T11:34:04Z","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/2502.06355/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal transformers integrate diverse data types like images, audio, and text, advancing tasks such as audio-visual understanding and image-text retrieval; yet their high parameterization limits deployment on resource-constrained edge devices. Split Learning (SL), which partitions models at a designated cut-layer to offload compute-intensive operations to the server, offers a promising approach for distributed training of multimodal transformers, though its application remains underexplored. We present MPSL, a parallel SL approach for computational efficient fine-tuning of multimodal trans","authors_text":"Nirvana Meratnia, Timo Fudala, Vasileios Tsouvalas","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-02-10T11:10:41Z","title":"Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06355","kind":"arxiv","version":3},"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":"sha256:87fb736cf7bcfbed5d9a8a52221725e682bd8bb0591a0aa03c0cfbe4800256af","target":"record","created_at":"2026-07-05T11:34:04Z","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":"d1f9f3c92bec82c9fda52e98b01dad0ed17b96eafa2697560cf8189c5d493e63","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-02-10T11:10:41Z","title_canon_sha256":"e2e7cf6290a4a61461f3acfbf8cbf556a04a7f04cf9f062b1f6b0f9791b10699"},"schema_version":"1.0","source":{"id":"2502.06355","kind":"arxiv","version":3}},"canonical_sha256":"1623673c49a9853eb4ac6c3239409fcb59312079d851eee8a52d79d664b4b0e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1623673c49a9853eb4ac6c3239409fcb59312079d851eee8a52d79d664b4b0e8","first_computed_at":"2026-07-05T11:34:04.323374Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:04.323374Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O+M6rqqbNKfA20Jtp2foB1rnazDMF8O2H6AIoOGesc0HAJfpP/o1Uj4FQj75xc4S1TxeIQfvrq9hk26AsqMSAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:04.323814Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.06355","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:87fb736cf7bcfbed5d9a8a52221725e682bd8bb0591a0aa03c0cfbe4800256af","sha256:024e3783c28ab47b473593e411c55a77de8b6182f1a598c5fe9eed3a2b8315a6"],"state_sha256":"5ff280f2e2c26085f07b560cc9bb2acd2a98b9be3d6035df02a9f81e20d59278"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uy3HuDg/rLevKScIYekleVZNI69kSANfkikhgN77MGG3345GuLgaJh+6oxChxP1CN35cLnDb++N1J0RZwjIIBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:05:30.830667Z","bundle_sha256":"f81ed65328dc64dd09ac41afb3e6524e13c2ff807e21d4ba1196da88a110d542"}}