{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:K2HS7DK5BA3MELZ3V7LAWEJPFK","short_pith_number":"pith:K2HS7DK5","canonical_record":{"source":{"id":"2305.04396","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-08T00:19:05Z","cross_cats_sorted":[],"title_canon_sha256":"bb24561b904abf9a75555b9dc541b9615bbb4ee3ec9512d52ab6ee3197138b10","abstract_canon_sha256":"b93797077acccf0ac18c9dd0d06f714a93ea9cc2b23ad7d19dd6cf6ea14cfac3"},"schema_version":"1.0"},"canonical_sha256":"568f2f8d5d0836c22f3bafd60b112f2aafc6f9575678431c3848e2a1e9e99c76","source":{"kind":"arxiv","id":"2305.04396","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.04396","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"arxiv_version","alias_value":"2305.04396v1","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.04396","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"pith_short_12","alias_value":"K2HS7DK5BA3M","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"pith_short_16","alias_value":"K2HS7DK5BA3MELZ3","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"pith_short_8","alias_value":"K2HS7DK5","created_at":"2026-07-05T06:07:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:K2HS7DK5BA3MELZ3V7LAWEJPFK","target":"record","payload":{"canonical_record":{"source":{"id":"2305.04396","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-08T00:19:05Z","cross_cats_sorted":[],"title_canon_sha256":"bb24561b904abf9a75555b9dc541b9615bbb4ee3ec9512d52ab6ee3197138b10","abstract_canon_sha256":"b93797077acccf0ac18c9dd0d06f714a93ea9cc2b23ad7d19dd6cf6ea14cfac3"},"schema_version":"1.0"},"canonical_sha256":"568f2f8d5d0836c22f3bafd60b112f2aafc6f9575678431c3848e2a1e9e99c76","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:07:49.543377Z","signature_b64":"rRdkq6z8xPY4GBN/gY8sV0aNUbzVBV2LFWhC8ahLBFb5N4P8hEHpA23ab2SYCz9w1EIdCni+D8s2Ri1O8jfvDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"568f2f8d5d0836c22f3bafd60b112f2aafc6f9575678431c3848e2a1e9e99c76","last_reissued_at":"2026-07-05T06:07:49.542850Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:07:49.542850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.04396","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":"2026-07-05T06:07:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"81dHGx1WN3Z7klagDwXffMghS3z+vjueDuZ9ikFQPy28Hk/SGS3MWvHQ8yzI87tOxSrieY3Wf8jPU+qXryiGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T00:09:47.275283Z"},"content_sha256":"ca13d77c29f5d66d900a524df2cb07e4dcdf15af4678079d29c1024096746712","schema_version":"1.0","event_id":"sha256:ca13d77c29f5d66d900a524df2cb07e4dcdf15af4678079d29c1024096746712"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:K2HS7DK5BA3MELZ3V7LAWEJPFK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SegGPT Meets Co-Saliency Scene","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dingwen Zhang, Jungong Han, Shoukun Xu, Yi Liu","submitted_at":"2023-05-08T00:19:05Z","abstract_excerpt":"Co-salient object detection targets at detecting co-existed salient objects among a group of images. Recently, a generalist model for segmenting everything in context, called SegGPT, is gaining public attention. In view of its breakthrough for segmentation, we can hardly wait to probe into its contribution to the task of co-salient object detection. In this report, we first design a framework to enable SegGPT for the problem of co-salient object detection. Proceed to the next step, we evaluate the performance of SegGPT on the problem of co-salient object detection on three available datasets. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.04396","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/2305.04396/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":"2026-07-05T06:07:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YAnULpU6N8c06sydanaKIhbyA9kz2gPevR2gNpd8fVoRenVF4ap28kpS6Q8rlhdT2ide0FfquDP2DRNTU+q0BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T00:09:47.275676Z"},"content_sha256":"e4aefe885cf111b16e40f41e0c30ea606984967498243e8e46db776c98836efc","schema_version":"1.0","event_id":"sha256:e4aefe885cf111b16e40f41e0c30ea606984967498243e8e46db776c98836efc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K2HS7DK5BA3MELZ3V7LAWEJPFK/bundle.json","state_url":"https://pith.science/pith/K2HS7DK5BA3MELZ3V7LAWEJPFK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K2HS7DK5BA3MELZ3V7LAWEJPFK/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":"2026-07-07T00:09:47Z","links":{"resolver":"https://pith.science/pith/K2HS7DK5BA3MELZ3V7LAWEJPFK","bundle":"https://pith.science/pith/K2HS7DK5BA3MELZ3V7LAWEJPFK/bundle.json","state":"https://pith.science/pith/K2HS7DK5BA3MELZ3V7LAWEJPFK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K2HS7DK5BA3MELZ3V7LAWEJPFK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:K2HS7DK5BA3MELZ3V7LAWEJPFK","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":"b93797077acccf0ac18c9dd0d06f714a93ea9cc2b23ad7d19dd6cf6ea14cfac3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-08T00:19:05Z","title_canon_sha256":"bb24561b904abf9a75555b9dc541b9615bbb4ee3ec9512d52ab6ee3197138b10"},"schema_version":"1.0","source":{"id":"2305.04396","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.04396","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"arxiv_version","alias_value":"2305.04396v1","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.04396","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"pith_short_12","alias_value":"K2HS7DK5BA3M","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"pith_short_16","alias_value":"K2HS7DK5BA3MELZ3","created_at":"2026-07-05T06:07:49Z"},{"alias_kind":"pith_short_8","alias_value":"K2HS7DK5","created_at":"2026-07-05T06:07:49Z"}],"graph_snapshots":[{"event_id":"sha256:e4aefe885cf111b16e40f41e0c30ea606984967498243e8e46db776c98836efc","target":"graph","created_at":"2026-07-05T06:07:49Z","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/2305.04396/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Co-salient object detection targets at detecting co-existed salient objects among a group of images. Recently, a generalist model for segmenting everything in context, called SegGPT, is gaining public attention. In view of its breakthrough for segmentation, we can hardly wait to probe into its contribution to the task of co-salient object detection. In this report, we first design a framework to enable SegGPT for the problem of co-salient object detection. Proceed to the next step, we evaluate the performance of SegGPT on the problem of co-salient object detection on three available datasets. ","authors_text":"Dingwen Zhang, Jungong Han, Shoukun Xu, Yi Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-08T00:19:05Z","title":"SegGPT Meets Co-Saliency Scene"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.04396","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:ca13d77c29f5d66d900a524df2cb07e4dcdf15af4678079d29c1024096746712","target":"record","created_at":"2026-07-05T06:07:49Z","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":"b93797077acccf0ac18c9dd0d06f714a93ea9cc2b23ad7d19dd6cf6ea14cfac3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-08T00:19:05Z","title_canon_sha256":"bb24561b904abf9a75555b9dc541b9615bbb4ee3ec9512d52ab6ee3197138b10"},"schema_version":"1.0","source":{"id":"2305.04396","kind":"arxiv","version":1}},"canonical_sha256":"568f2f8d5d0836c22f3bafd60b112f2aafc6f9575678431c3848e2a1e9e99c76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"568f2f8d5d0836c22f3bafd60b112f2aafc6f9575678431c3848e2a1e9e99c76","first_computed_at":"2026-07-05T06:07:49.542850Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:07:49.542850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rRdkq6z8xPY4GBN/gY8sV0aNUbzVBV2LFWhC8ahLBFb5N4P8hEHpA23ab2SYCz9w1EIdCni+D8s2Ri1O8jfvDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:07:49.543377Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.04396","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca13d77c29f5d66d900a524df2cb07e4dcdf15af4678079d29c1024096746712","sha256:e4aefe885cf111b16e40f41e0c30ea606984967498243e8e46db776c98836efc"],"state_sha256":"2bcefdd5b07128bd61662c58d2f51678b1b4480d29baae7e66d2af3026f24a12"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AW5+Dg9HxJKvQBlLQ0955HvgGXMvljGi4sphQtQvVPdrK8/4YTw/DK9i8y/jLJTfOORhj7s5g4RVTuX9KjscBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T00:09:47.277980Z","bundle_sha256":"7feb073d57c7757e44051e3550b47199fa7c60d9764f4787f73615925b670be6"}}