{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:DVN2QY6BJWGKMIQTKP6HNHF2UW","short_pith_number":"pith:DVN2QY6B","canonical_record":{"source":{"id":"2112.00390","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-01T10:17:25Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"abff55aebf3bccac0534fa89c9bfcaf29c862788b9ef0d3a232c984fa458e310","abstract_canon_sha256":"82a21403f7004d0c7e869291f9bf0e72596f1ef0e28584268fb41f584383b7de"},"schema_version":"1.0"},"canonical_sha256":"1d5ba863c14d8ca6221353fc769cbaa5ab9426c70a494bdd7d6181d8390b9944","source":{"kind":"arxiv","id":"2112.00390","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.00390","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"arxiv_version","alias_value":"2112.00390v3","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.00390","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"pith_short_12","alias_value":"DVN2QY6BJWGK","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"pith_short_16","alias_value":"DVN2QY6BJWGKMIQT","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"pith_short_8","alias_value":"DVN2QY6B","created_at":"2026-07-05T04:55:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:DVN2QY6BJWGKMIQTKP6HNHF2UW","target":"record","payload":{"canonical_record":{"source":{"id":"2112.00390","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-01T10:17:25Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"abff55aebf3bccac0534fa89c9bfcaf29c862788b9ef0d3a232c984fa458e310","abstract_canon_sha256":"82a21403f7004d0c7e869291f9bf0e72596f1ef0e28584268fb41f584383b7de"},"schema_version":"1.0"},"canonical_sha256":"1d5ba863c14d8ca6221353fc769cbaa5ab9426c70a494bdd7d6181d8390b9944","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:55:15.577241Z","signature_b64":"bH6YBprh9ApBsO1ernXTHeYFL0WQw0eJqI78w44EaKdrQ2+W/s1nVVcDZfHXbZy7+5YRUZjAr1NdXkhb+BrSDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d5ba863c14d8ca6221353fc769cbaa5ab9426c70a494bdd7d6181d8390b9944","last_reissued_at":"2026-07-05T04:55:15.576811Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:55:15.576811Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.00390","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":"2026-07-05T04:55:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jEXGaspuBOCaufLHjGyHe8o3w7ck6CBW3XGEwqGkqEY9/gv7UqJAE/wBTFgJY0aHvTFLSh8Rrhfc+xv9/SRWBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T14:25:55.619291Z"},"content_sha256":"b8ee9b1723edc2ad0d5aec4f662d3699ea676698d87572a74a30df32afa54807","schema_version":"1.0","event_id":"sha256:b8ee9b1723edc2ad0d5aec4f662d3699ea676698d87572a74a30df32afa54807"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:DVN2QY6BJWGKMIQTKP6HNHF2UW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SegDiff: Image Segmentation with Diffusion Probabilistic Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Eliya Nachmani, Lior Wolf, Tal Shaharbany, Tomer Amit","submitted_at":"2021-12-01T10:17:25Z","abstract_excerpt":"Diffusion Probabilistic Methods are employed for state-of-the-art image generation. In this work, we present a method for extending such models for performing image segmentation. The method learns end-to-end, without relying on a pre-trained backbone. The information in the input image and in the current estimation of the segmentation map is merged by summing the output of two encoders. Additional encoding layers and a decoder are then used to iteratively refine the segmentation map, using a diffusion model. Since the diffusion model is probabilistic, it is applied multiple times, and the resu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.00390","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/2112.00390/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":"2026-07-05T04:55:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4/8I5nfpZV+unqQzXGfmciVMVzK6/Z5XhxAxZ4PEDqTSNGFL8z1sxmAavhYJtWei8mVT9Oe5CcmSIPVhG7o3BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T14:25:55.619669Z"},"content_sha256":"d28715b8b88454e406a86be1db934c600194e9acc091eea8faec4578d16afac5","schema_version":"1.0","event_id":"sha256:d28715b8b88454e406a86be1db934c600194e9acc091eea8faec4578d16afac5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DVN2QY6BJWGKMIQTKP6HNHF2UW/bundle.json","state_url":"https://pith.science/pith/DVN2QY6BJWGKMIQTKP6HNHF2UW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DVN2QY6BJWGKMIQTKP6HNHF2UW/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":"2026-08-20T14:25:55Z","links":{"resolver":"https://pith.science/pith/DVN2QY6BJWGKMIQTKP6HNHF2UW","bundle":"https://pith.science/pith/DVN2QY6BJWGKMIQTKP6HNHF2UW/bundle.json","state":"https://pith.science/pith/DVN2QY6BJWGKMIQTKP6HNHF2UW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DVN2QY6BJWGKMIQTKP6HNHF2UW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DVN2QY6BJWGKMIQTKP6HNHF2UW","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":"82a21403f7004d0c7e869291f9bf0e72596f1ef0e28584268fb41f584383b7de","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-01T10:17:25Z","title_canon_sha256":"abff55aebf3bccac0534fa89c9bfcaf29c862788b9ef0d3a232c984fa458e310"},"schema_version":"1.0","source":{"id":"2112.00390","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.00390","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"arxiv_version","alias_value":"2112.00390v3","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.00390","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"pith_short_12","alias_value":"DVN2QY6BJWGK","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"pith_short_16","alias_value":"DVN2QY6BJWGKMIQT","created_at":"2026-07-05T04:55:15Z"},{"alias_kind":"pith_short_8","alias_value":"DVN2QY6B","created_at":"2026-07-05T04:55:15Z"}],"graph_snapshots":[{"event_id":"sha256:d28715b8b88454e406a86be1db934c600194e9acc091eea8faec4578d16afac5","target":"graph","created_at":"2026-07-05T04:55:15Z","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/2112.00390/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion Probabilistic Methods are employed for state-of-the-art image generation. In this work, we present a method for extending such models for performing image segmentation. The method learns end-to-end, without relying on a pre-trained backbone. The information in the input image and in the current estimation of the segmentation map is merged by summing the output of two encoders. Additional encoding layers and a decoder are then used to iteratively refine the segmentation map, using a diffusion model. Since the diffusion model is probabilistic, it is applied multiple times, and the resu","authors_text":"Eliya Nachmani, Lior Wolf, Tal Shaharbany, Tomer Amit","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-01T10:17:25Z","title":"SegDiff: Image Segmentation with Diffusion Probabilistic Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.00390","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:b8ee9b1723edc2ad0d5aec4f662d3699ea676698d87572a74a30df32afa54807","target":"record","created_at":"2026-07-05T04:55:15Z","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":"82a21403f7004d0c7e869291f9bf0e72596f1ef0e28584268fb41f584383b7de","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-01T10:17:25Z","title_canon_sha256":"abff55aebf3bccac0534fa89c9bfcaf29c862788b9ef0d3a232c984fa458e310"},"schema_version":"1.0","source":{"id":"2112.00390","kind":"arxiv","version":3}},"canonical_sha256":"1d5ba863c14d8ca6221353fc769cbaa5ab9426c70a494bdd7d6181d8390b9944","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d5ba863c14d8ca6221353fc769cbaa5ab9426c70a494bdd7d6181d8390b9944","first_computed_at":"2026-07-05T04:55:15.576811Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:55:15.576811Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bH6YBprh9ApBsO1ernXTHeYFL0WQw0eJqI78w44EaKdrQ2+W/s1nVVcDZfHXbZy7+5YRUZjAr1NdXkhb+BrSDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:55:15.577241Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.00390","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b8ee9b1723edc2ad0d5aec4f662d3699ea676698d87572a74a30df32afa54807","sha256:d28715b8b88454e406a86be1db934c600194e9acc091eea8faec4578d16afac5"],"state_sha256":"52cdf936c95ad2bfb7cfc853051979f996fe613a7d1037d5be482cbb293fcfc1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LjRfs4IkTCf1iAX1zZRPwMyPvqWm7/xVG5Xv5PyJlHjXC/JKEpEBY7u+vxs7o133Eekw8hCwCpH8B2hL5InABQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T14:25:55.623489Z","bundle_sha256":"e67c4fe17edd1b6672cbf972125d72d91fe862e3b8cba32169304188c55aa1c0"}}