{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PFXNN7DH3Q7WTDUIGWNF2PRT56","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":"7ed8f0ba2e1e3af5c241733fe9d56527427db76bf1a3b5ead1c1bc1cf4d2b097","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-05-14T19:50:01Z","title_canon_sha256":"47b70801ed718bd36454a0c4d91cb67d372b33d5381b10d134a76e9d7727abb6"},"schema_version":"1.0","source":{"id":"2605.15370","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15370","created_at":"2026-05-20T00:00:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15370v1","created_at":"2026-05-20T00:00:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15370","created_at":"2026-05-20T00:00:54Z"},{"alias_kind":"pith_short_12","alias_value":"PFXNN7DH3Q7W","created_at":"2026-05-20T00:00:54Z"},{"alias_kind":"pith_short_16","alias_value":"PFXNN7DH3Q7WTDUI","created_at":"2026-05-20T00:00:54Z"},{"alias_kind":"pith_short_8","alias_value":"PFXNN7DH","created_at":"2026-05-20T00:00:54Z"}],"graph_snapshots":[{"event_id":"sha256:373b764cdb75329fe0f06053f798c4da81f51b02367db5420801ba41b4627216","target":"graph","created_at":"2026-05-20T00:00:54Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"In a controlled EfficientNetV2-L ablation at 256 x 256 resolution, replacing the three Quantum FPN Gates with element-wise addition while holding the encoder, loss schedule, splits, and threshold search fixed reduces mean IoU from 0.9389 to 0.8404, a 9.85 percentage-point gap."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The performance gap is attributable to the quantum circuit rather than to the introduction of 72 additional trainable parameters or to the specific gating topology; the paper compares against element-wise addition but does not report a classical parametric gate with matched parameter count."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"A 4-qubit quantum feature pyramid gating architecture raises mean IoU from 0.8404 to 0.9389 over classical addition in controlled ablations on the TGS salt segmentation dataset."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"A 4-qubit quantum circuit at Feature Pyramid merge points raises mean IoU from 0.8404 to 0.9389 on seismic salt segmentation."}],"snapshot_sha256":"97206215bb60a83b1e9f4116a9e27cc15be6f7ffc438355a4437c75cbee1a21e"},"formal_canon":{"evidence_count":2,"snapshot_sha256":"bad0ffab6109eb87d71828540434ac2cb96da9743ec40ff7cdd9cd113bab1803"},"integrity":{"available":true,"clean":true,"detectors_run":[{"findings_count":0,"name":"doi_title_agreement","ran_at":"2026-05-19T16:01:18.064077Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"doi_compliance","ran_at":"2026-05-19T15:53:42.707631Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T14:21:54.187387Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T13:33:22.736474Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.15370/integrity.json","findings":[],"snapshot_sha256":"58c0b2eeae52bff406b4d5c0868c43319eaa14efbee3656448a9d96ca97270c6","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate salt-body delineation is essential for seismic interpretation because salt structures distort wave propagation, complicate velocity-model building, obscure reservoir geometry, and increase uncertainty in exploration and drilling decisions. Although hybrid quantum-classical models have shown competitive performance on small-scale image-classification tasks, their value for dense, pixel-level geophysical prediction remains largely untested. This work introduces quantum feature gating, a hybrid segmentation architecture that embeds a parameterized quantum circuit (PQC) at feature-fusion ","authors_text":"Jyotsna Sharma, Taha Gharaibeh","cross_cats":["cs.LG"],"headline":"A 4-qubit quantum circuit at Feature Pyramid merge points raises mean IoU from 0.8404 to 0.9389 on seismic salt segmentation.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-05-14T19:50:01Z","title":"Quantum Feature Pyramid Gating for Seismic Image Segmentation"},"references":{"count":33,"internal_anchors":3,"resolved_work":33,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"Parameterized quantum circuits as machine learning models,","work_id":"878f6a7a-264d-4563-8c6e-a31808280049","year":2019},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"Quantum machine learning for image classification,","work_id":"47cd29fb-56cb-49b1-8fcd-4f75882eeb6a","year":2024},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"Transfer learning in hybrid classical-quantum neural networks,","work_id":"61a0df57-8a5c-4e61-8b05-233568265ae0","year":2020},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"Quanvolutional neural networks: Powering image recognition with quantum circuits,","work_id":"8a3f86ee-cd37-4e6c-99b0-98d3de0295cb","year":2020},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Effect of data encoding on the expressive power of variational quantum machine-learning models,","work_id":"7d6c57a1-dc06-4f73-9125-48e6db6c2aa2","year":2021}],"snapshot_sha256":"ded04a748b4870eacf9a56d5362a30f2f95b94295a767f0fcb8331ebc5247f08"},"source":{"id":"2605.15370","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-19T15:42:31.912482Z","id":"fb2fb72c-f804-4b6b-a9be-e5a2523e6195","model_set":{"reader":"grok-4.3"},"one_line_summary":"A 4-qubit quantum feature pyramid gating architecture raises mean IoU from 0.8404 to 0.9389 over classical addition in controlled ablations on the TGS salt segmentation dataset.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"A 4-qubit quantum circuit at Feature Pyramid merge points raises mean IoU from 0.8404 to 0.9389 on seismic salt segmentation.","strongest_claim":"In a controlled EfficientNetV2-L ablation at 256 x 256 resolution, replacing the three Quantum FPN Gates with element-wise addition while holding the encoder, loss schedule, splits, and threshold search fixed reduces mean IoU from 0.9389 to 0.8404, a 9.85 percentage-point gap.","weakest_assumption":"The performance gap is attributable to the quantum circuit rather than to the introduction of 72 additional trainable parameters or to the specific gating topology; the paper compares against element-wise addition but does not report a classical parametric gate with matched parameter count."}},"verdict_id":"fb2fb72c-f804-4b6b-a9be-e5a2523e6195"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ff31a290683af96e03b22f8f16040ca9bb531970ee0f2b8979adf20d4657fdf5","target":"record","created_at":"2026-05-20T00:00:54Z","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":"7ed8f0ba2e1e3af5c241733fe9d56527427db76bf1a3b5ead1c1bc1cf4d2b097","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-05-14T19:50:01Z","title_canon_sha256":"47b70801ed718bd36454a0c4d91cb67d372b33d5381b10d134a76e9d7727abb6"},"schema_version":"1.0","source":{"id":"2605.15370","kind":"arxiv","version":1}},"canonical_sha256":"796ed6fc67dc3f698e88359a5d3e33ef8dfeda218a8f4fe8b2445a56c831152f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"796ed6fc67dc3f698e88359a5d3e33ef8dfeda218a8f4fe8b2445a56c831152f","first_computed_at":"2026-05-20T00:00:54.980004Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:00:54.980004Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A6RXRuhSXegr8WwH/958wySq+yW5eAot04UVDDxI8ZKDml5BdH9SB723oYoCWCwkdcOk2NZ8F9BUGNVbRfXpAA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:00:54.980682Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15370","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff31a290683af96e03b22f8f16040ca9bb531970ee0f2b8979adf20d4657fdf5","sha256:373b764cdb75329fe0f06053f798c4da81f51b02367db5420801ba41b4627216"],"state_sha256":"97dde2654d5d41fa142f65e379f979419c6c7e0fdf36fed9119029fa8eee1684"}