{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HTXQI32UQQ7F3NJ5SNNNZ5QMY6","short_pith_number":"pith:HTXQI32U","canonical_record":{"source":{"id":"2506.07286","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-08T21:11:25Z","cross_cats_sorted":["cs.LG","cs.RO"],"title_canon_sha256":"81d3a5efd09d52710f4be7dd36e59f8c0d5a2165f20396ffe501feabd8aafec3","abstract_canon_sha256":"b272aa54f47cb0912849b25fd3ffbc0b0bbd8e890649a51c78522ef71b28affe"},"schema_version":"1.0"},"canonical_sha256":"3cef046f54843e5db53d935adcf60cc784d6b304b13dbddc619dea39013571a9","source":{"kind":"arxiv","id":"2506.07286","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07286","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07286v1","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07286","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"HTXQI32UQQ7F","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"HTXQI32UQQ7F3NJ5","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"HTXQI32U","created_at":"2026-07-05T11:18:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HTXQI32UQQ7F3NJ5SNNNZ5QMY6","target":"record","payload":{"canonical_record":{"source":{"id":"2506.07286","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-08T21:11:25Z","cross_cats_sorted":["cs.LG","cs.RO"],"title_canon_sha256":"81d3a5efd09d52710f4be7dd36e59f8c0d5a2165f20396ffe501feabd8aafec3","abstract_canon_sha256":"b272aa54f47cb0912849b25fd3ffbc0b0bbd8e890649a51c78522ef71b28affe"},"schema_version":"1.0"},"canonical_sha256":"3cef046f54843e5db53d935adcf60cc784d6b304b13dbddc619dea39013571a9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:24.552306Z","signature_b64":"W9YcDRyfV6E7+auI+XehGdOjaD1wkpQ9Kvvgj5Me2sSqFZ5WnlCAuSsUSqOjUKd6HM2sUnEHMALQseVOsnYHAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3cef046f54843e5db53d935adcf60cc784d6b304b13dbddc619dea39013571a9","last_reissued_at":"2026-07-05T11:18:24.551820Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:24.551820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.07286","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":"2026-07-05T11:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mXkhVOwecFyxz7x83id4EiS29HEkY2URGtNzN69r0uvwbeuRGEfbBrOPjnBNZwLlpo0hmPOhiP+suAFWYfe1Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:11:37.626038Z"},"content_sha256":"d06030a419682bb409e16d5fb92d3480489fb7f1640f73a82dbec4860d7f8651","schema_version":"1.0","event_id":"sha256:d06030a419682bb409e16d5fb92d3480489fb7f1640f73a82dbec4860d7f8651"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HTXQI32UQQ7F3NJ5SNNNZ5QMY6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Aditya Chakravarty","submitted_at":"2025-06-08T21:11:25Z","abstract_excerpt":"Diffusion models have shown remarkable flexibility for solving inverse problems without task-specific retraining. However, existing approaches such as Manifold Preserving Guided Diffusion (MPGD) apply only a single gradient update per denoising step, limiting restoration fidelity and robustness, especially in embedded or out-of-distribution settings. In this work, we introduce a multistep optimization strategy within each denoising timestep, significantly enhancing image quality, perceptual accuracy, and generalization. Our experiments on super-resolution and Gaussian deblurring demonstrate th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07286","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/2506.07286/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":"2026-07-05T11:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vVZVIAor1j0dl6fsrgOxWaLHs6WGY3kycB3iMyPGMYSkhVsBh51d8TuC8B+qUDYHqKZJCVqxiGAlI12hCYA1DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:11:37.626554Z"},"content_sha256":"c2c00455e9b2cc2f03424f25f4b4530c93bab5f242298b50be2233c98ebaaa0f","schema_version":"1.0","event_id":"sha256:c2c00455e9b2cc2f03424f25f4b4530c93bab5f242298b50be2233c98ebaaa0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HTXQI32UQQ7F3NJ5SNNNZ5QMY6/bundle.json","state_url":"https://pith.science/pith/HTXQI32UQQ7F3NJ5SNNNZ5QMY6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HTXQI32UQQ7F3NJ5SNNNZ5QMY6/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":"2026-08-08T23:11:37Z","links":{"resolver":"https://pith.science/pith/HTXQI32UQQ7F3NJ5SNNNZ5QMY6","bundle":"https://pith.science/pith/HTXQI32UQQ7F3NJ5SNNNZ5QMY6/bundle.json","state":"https://pith.science/pith/HTXQI32UQQ7F3NJ5SNNNZ5QMY6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HTXQI32UQQ7F3NJ5SNNNZ5QMY6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HTXQI32UQQ7F3NJ5SNNNZ5QMY6","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":"b272aa54f47cb0912849b25fd3ffbc0b0bbd8e890649a51c78522ef71b28affe","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-08T21:11:25Z","title_canon_sha256":"81d3a5efd09d52710f4be7dd36e59f8c0d5a2165f20396ffe501feabd8aafec3"},"schema_version":"1.0","source":{"id":"2506.07286","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07286","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07286v1","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07286","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"HTXQI32UQQ7F","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"HTXQI32UQQ7F3NJ5","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"HTXQI32U","created_at":"2026-07-05T11:18:24Z"}],"graph_snapshots":[{"event_id":"sha256:c2c00455e9b2cc2f03424f25f4b4530c93bab5f242298b50be2233c98ebaaa0f","target":"graph","created_at":"2026-07-05T11:18:24Z","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/2506.07286/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have shown remarkable flexibility for solving inverse problems without task-specific retraining. However, existing approaches such as Manifold Preserving Guided Diffusion (MPGD) apply only a single gradient update per denoising step, limiting restoration fidelity and robustness, especially in embedded or out-of-distribution settings. In this work, we introduce a multistep optimization strategy within each denoising timestep, significantly enhancing image quality, perceptual accuracy, and generalization. Our experiments on super-resolution and Gaussian deblurring demonstrate th","authors_text":"Aditya Chakravarty","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-08T21:11:25Z","title":"Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07286","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:d06030a419682bb409e16d5fb92d3480489fb7f1640f73a82dbec4860d7f8651","target":"record","created_at":"2026-07-05T11:18:24Z","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":"b272aa54f47cb0912849b25fd3ffbc0b0bbd8e890649a51c78522ef71b28affe","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-08T21:11:25Z","title_canon_sha256":"81d3a5efd09d52710f4be7dd36e59f8c0d5a2165f20396ffe501feabd8aafec3"},"schema_version":"1.0","source":{"id":"2506.07286","kind":"arxiv","version":1}},"canonical_sha256":"3cef046f54843e5db53d935adcf60cc784d6b304b13dbddc619dea39013571a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3cef046f54843e5db53d935adcf60cc784d6b304b13dbddc619dea39013571a9","first_computed_at":"2026-07-05T11:18:24.551820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:24.551820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W9YcDRyfV6E7+auI+XehGdOjaD1wkpQ9Kvvgj5Me2sSqFZ5WnlCAuSsUSqOjUKd6HM2sUnEHMALQseVOsnYHAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:24.552306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.07286","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d06030a419682bb409e16d5fb92d3480489fb7f1640f73a82dbec4860d7f8651","sha256:c2c00455e9b2cc2f03424f25f4b4530c93bab5f242298b50be2233c98ebaaa0f"],"state_sha256":"0bff98fdb4a8b6702f2262d192d7c096647930ea0dfa478d3334dda6e174560f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A+VDH1N7NR4X7hasLDIDEu1y6j/0QFcrq4fRK7H8sC5bq979jTeVe+Xjpwh6yyc60OJnHDE9iPiICNSInw93BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T23:11:37.630285Z","bundle_sha256":"8caec3f75014ee428beb00babac5f1292eec740de2b41b0480bca04c32d17652"}}