{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:GXEZAT7DUFW44GEM6HW4JXAVCR","short_pith_number":"pith:GXEZAT7D","canonical_record":{"source":{"id":"2608.04348","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T01:47:34Z","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"title_canon_sha256":"7001324778800ae54635f80ffcb8954cd38e6e033fb6212699f0549832045aaf","abstract_canon_sha256":"f19af872e9409c73661d062908c6188ccd1e5e3684814d023ff181a4d37390d5"},"schema_version":"1.0"},"canonical_sha256":"35c9904fe3a16dce188cf1edc4dc15145ce879da6fb0c6906f9589fd40fb91ac","source":{"kind":"arxiv","id":"2608.04348","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04348","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04348v1","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04348","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"pith_short_12","alias_value":"GXEZAT7DUFW4","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"pith_short_16","alias_value":"GXEZAT7DUFW44GEM","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"pith_short_8","alias_value":"GXEZAT7D","created_at":"2026-08-06T01:33:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:GXEZAT7DUFW44GEM6HW4JXAVCR","target":"record","payload":{"canonical_record":{"source":{"id":"2608.04348","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T01:47:34Z","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"title_canon_sha256":"7001324778800ae54635f80ffcb8954cd38e6e033fb6212699f0549832045aaf","abstract_canon_sha256":"f19af872e9409c73661d062908c6188ccd1e5e3684814d023ff181a4d37390d5"},"schema_version":"1.0"},"canonical_sha256":"35c9904fe3a16dce188cf1edc4dc15145ce879da6fb0c6906f9589fd40fb91ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-06T01:33:22.787128Z","signature_b64":"zO5Dh9QkPwWPYcx/y2+dshy4LHfagGWhxWpEKlQPXeyAdX+NlizFfw9WUT7dk0Vel957hMBv8MtgdL64sfTPAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35c9904fe3a16dce188cf1edc4dc15145ce879da6fb0c6906f9589fd40fb91ac","last_reissued_at":"2026-08-06T01:33:22.785554Z","signature_status":"signed_v1","first_computed_at":"2026-08-06T01:33:22.785554Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.04348","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":"2026-08-06T01:33:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mm2wm5Mk+m7TxrYj1qwouJTqzjiAG5bu9mfNAEUsKOq7wYpZsaboIGCJMfGf+5hJ126abragl0JGo6I/4hMzCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:42:28.780922Z"},"content_sha256":"62ba7d094713b5c54d3d17493f2e9e84c25107c5069382676ad43d2bdde8650f","schema_version":"1.0","event_id":"sha256:62ba7d094713b5c54d3d17493f2e9e84c25107c5069382676ad43d2bdde8650f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:GXEZAT7DUFW44GEM6HW4JXAVCR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","stat.ML"],"primary_cat":"cs.CV","authors_text":"Al Zadid Sultan Bin Habib, Donald A. Adjeroh, Gianfranco Doretto, Md Younus Ahamed, Prashnna Gyawali","submitted_at":"2026-08-05T01:47:34Z","abstract_excerpt":"Multimodal learning of images and tabular data is often impaired by ineffective representations, resulting in redundancy, dispersion, and generalization problems. To tackle this challenge, we introduce Graph-Enhanced Descriptor Sequencing (GEDS), a structured feature sequencing algorithm grounded in principles from the Column Permutation Problem (CPP). GEDS refines statistical descriptors of the features through similarity graph-based computations, systematically determining an effective feature sequencing. We incorporate GEDS within an order-aware efficient transformer framework, utilizing or"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04348","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/2608.04348/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":"2026-08-06T01:33:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zLF6yqVAwExzTf29W3OK10dtUf7IHni+/I7LV5U114e5W6/Gq2QAhKauTDPi+HQD1erXmwvCptyEDNTg+B6eDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:42:28.781888Z"},"content_sha256":"1025a75f48b431fae3cec7307a3b1538c63fdff312d248624fad1b44cf27b8cb","schema_version":"1.0","event_id":"sha256:1025a75f48b431fae3cec7307a3b1538c63fdff312d248624fad1b44cf27b8cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GXEZAT7DUFW44GEM6HW4JXAVCR/bundle.json","state_url":"https://pith.science/pith/GXEZAT7DUFW44GEM6HW4JXAVCR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GXEZAT7DUFW44GEM6HW4JXAVCR/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":"2026-08-10T08:42:28Z","links":{"resolver":"https://pith.science/pith/GXEZAT7DUFW44GEM6HW4JXAVCR","bundle":"https://pith.science/pith/GXEZAT7DUFW44GEM6HW4JXAVCR/bundle.json","state":"https://pith.science/pith/GXEZAT7DUFW44GEM6HW4JXAVCR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GXEZAT7DUFW44GEM6HW4JXAVCR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GXEZAT7DUFW44GEM6HW4JXAVCR","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":"f19af872e9409c73661d062908c6188ccd1e5e3684814d023ff181a4d37390d5","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T01:47:34Z","title_canon_sha256":"7001324778800ae54635f80ffcb8954cd38e6e033fb6212699f0549832045aaf"},"schema_version":"1.0","source":{"id":"2608.04348","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04348","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04348v1","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04348","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"pith_short_12","alias_value":"GXEZAT7DUFW4","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"pith_short_16","alias_value":"GXEZAT7DUFW44GEM","created_at":"2026-08-06T01:33:22Z"},{"alias_kind":"pith_short_8","alias_value":"GXEZAT7D","created_at":"2026-08-06T01:33:22Z"}],"graph_snapshots":[{"event_id":"sha256:1025a75f48b431fae3cec7307a3b1538c63fdff312d248624fad1b44cf27b8cb","target":"graph","created_at":"2026-08-06T01:33:22Z","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/2608.04348/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal learning of images and tabular data is often impaired by ineffective representations, resulting in redundancy, dispersion, and generalization problems. To tackle this challenge, we introduce Graph-Enhanced Descriptor Sequencing (GEDS), a structured feature sequencing algorithm grounded in principles from the Column Permutation Problem (CPP). GEDS refines statistical descriptors of the features through similarity graph-based computations, systematically determining an effective feature sequencing. We incorporate GEDS within an order-aware efficient transformer framework, utilizing or","authors_text":"Al Zadid Sultan Bin Habib, Donald A. Adjeroh, Gianfranco Doretto, Md Younus Ahamed, Prashnna Gyawali","cross_cats":["cs.AI","cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T01:47:34Z","title":"iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04348","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":"sha256:62ba7d094713b5c54d3d17493f2e9e84c25107c5069382676ad43d2bdde8650f","target":"record","created_at":"2026-08-06T01:33:22Z","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":"f19af872e9409c73661d062908c6188ccd1e5e3684814d023ff181a4d37390d5","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T01:47:34Z","title_canon_sha256":"7001324778800ae54635f80ffcb8954cd38e6e033fb6212699f0549832045aaf"},"schema_version":"1.0","source":{"id":"2608.04348","kind":"arxiv","version":1}},"canonical_sha256":"35c9904fe3a16dce188cf1edc4dc15145ce879da6fb0c6906f9589fd40fb91ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35c9904fe3a16dce188cf1edc4dc15145ce879da6fb0c6906f9589fd40fb91ac","first_computed_at":"2026-08-06T01:33:22.785554Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-06T01:33:22.785554Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zO5Dh9QkPwWPYcx/y2+dshy4LHfagGWhxWpEKlQPXeyAdX+NlizFfw9WUT7dk0Vel957hMBv8MtgdL64sfTPAA==","signature_status":"signed_v1","signed_at":"2026-08-06T01:33:22.787128Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.04348","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62ba7d094713b5c54d3d17493f2e9e84c25107c5069382676ad43d2bdde8650f","sha256:1025a75f48b431fae3cec7307a3b1538c63fdff312d248624fad1b44cf27b8cb"],"state_sha256":"635a133b13379336aece3028660235f93ab5f717c2b0097a0615885e51e38a59"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/eR8BlaXWCO7mQsQbyZq9zyUlrI+i5MfHK6AOoypR9DErDt4+pD35NVmY2Kx5zH2DfIAH9wMV35LsMZZie6aDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T08:42:28.789429Z","bundle_sha256":"dde2e63ff2a5b04f32cdc26ca9644be947a2627ae0a1e76841089cfd63b9e193"}}