{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HSKLPDZ5BVS6YTZG7WZSR53I3U","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":"861c3cbb93b4ea563d42ade4db6fa2aa0f562c3df0eef17a7a58b2139c57ec83","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T17:23:24Z","title_canon_sha256":"98ee8649d5379238cb8e3cdccecd92998b22624111e6cf83a2d4a8ac40e49369"},"schema_version":"1.0","source":{"id":"2509.03494","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03494","created_at":"2026-07-05T12:06:20Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03494v2","created_at":"2026-07-05T12:06:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03494","created_at":"2026-07-05T12:06:20Z"},{"alias_kind":"pith_short_12","alias_value":"HSKLPDZ5BVS6","created_at":"2026-07-05T12:06:20Z"},{"alias_kind":"pith_short_16","alias_value":"HSKLPDZ5BVS6YTZG","created_at":"2026-07-05T12:06:20Z"},{"alias_kind":"pith_short_8","alias_value":"HSKLPDZ5","created_at":"2026-07-05T12:06:20Z"}],"graph_snapshots":[{"event_id":"sha256:7879ee58fd70f264491743bc2717a9464abb43fcda95c7a9fa851985985e3609","target":"graph","created_at":"2026-07-05T12:06:20Z","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/2509.03494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a novel parameter-efficient adaptation method for No- Reference Image Quality Assessment (NR-IQA) using visual prompts optimized in pixel-space. Unlike full fine-tuning of Multimodal Large Language Models (MLLMs), our approach trains only 600K parameters at most (< 0.01% of the base model), while keeping the underlying model fully frozen. During inference, these visual prompts are combined with images via addition and processed by mPLUG-Owl2 with the textual query \"Rate the technical quality of the image.\" Evaluations across distortion types (synthetic, realistic, AI-","authors_text":"Mohammed EL Hassouni, Yahya Benmahane","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T17:23:24Z","title":"Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03494","kind":"arxiv","version":2},"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:f67c67a282bc37870e39630afb8e1b21b09bafc79a31b285d8ec1411722dcfcc","target":"record","created_at":"2026-07-05T12:06:20Z","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":"861c3cbb93b4ea563d42ade4db6fa2aa0f562c3df0eef17a7a58b2139c57ec83","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T17:23:24Z","title_canon_sha256":"98ee8649d5379238cb8e3cdccecd92998b22624111e6cf83a2d4a8ac40e49369"},"schema_version":"1.0","source":{"id":"2509.03494","kind":"arxiv","version":2}},"canonical_sha256":"3c94b78f3d0d65ec4f26fdb328f768dd3feba38d48897b51f650c553dea8aca1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c94b78f3d0d65ec4f26fdb328f768dd3feba38d48897b51f650c553dea8aca1","first_computed_at":"2026-07-05T12:06:20.093014Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:20.093014Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3QC1NQyPxFOPZwxTPURrw9F9bDVI/w0GwIT9wcPgiBE9DAROUAfQ+ONLrp3x6oV2Eudvy3lN1ZEZgsHC2Hb7Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:20.093580Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.03494","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f67c67a282bc37870e39630afb8e1b21b09bafc79a31b285d8ec1411722dcfcc","sha256:7879ee58fd70f264491743bc2717a9464abb43fcda95c7a9fa851985985e3609"],"state_sha256":"b9c8be4853255322962f456afdfe6d4625d5768b894f62f6db6f071239016293"}