{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3LR23NPXFSZZFKFVSBUOIACOVH","short_pith_number":"pith:3LR23NPX","canonical_record":{"source":{"id":"2408.16661","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-29T16:05:05Z","cross_cats_sorted":[],"title_canon_sha256":"5405e7552be0acefe79638cefcc1a6bebfaf9fd5021efb7c3dbf4f6117b7f493","abstract_canon_sha256":"8f8b13d28073cdec7b4b5982c1f052b0f3aaaed2370b5a3dc381c8c0058a7413"},"schema_version":"1.0"},"canonical_sha256":"dae3adb5f72cb392a8b59068e4004ea9c380d798518289e7e12cc417b82efe1d","source":{"kind":"arxiv","id":"2408.16661","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.16661","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"arxiv_version","alias_value":"2408.16661v2","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.16661","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"pith_short_12","alias_value":"3LR23NPXFSZZ","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"pith_short_16","alias_value":"3LR23NPXFSZZFKFV","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"pith_short_8","alias_value":"3LR23NPX","created_at":"2026-07-05T09:39:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3LR23NPXFSZZFKFVSBUOIACOVH","target":"record","payload":{"canonical_record":{"source":{"id":"2408.16661","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-29T16:05:05Z","cross_cats_sorted":[],"title_canon_sha256":"5405e7552be0acefe79638cefcc1a6bebfaf9fd5021efb7c3dbf4f6117b7f493","abstract_canon_sha256":"8f8b13d28073cdec7b4b5982c1f052b0f3aaaed2370b5a3dc381c8c0058a7413"},"schema_version":"1.0"},"canonical_sha256":"dae3adb5f72cb392a8b59068e4004ea9c380d798518289e7e12cc417b82efe1d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:39:26.363648Z","signature_b64":"QZfp7+dQk1TgxvCQso+ANd9O6etpTBlXx7izb74lRySzJlD2oRJYCoc8ZdTO8UhpVYZTnY7jIZmVf5qZKz3fDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dae3adb5f72cb392a8b59068e4004ea9c380d798518289e7e12cc417b82efe1d","last_reissued_at":"2026-07-05T09:39:26.363111Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:39:26.363111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.16661","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:39:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C/VEkVR24FEZEkEY/nyPrw4qtfGx4fU4k8y3otpToVwSXfDtoXKSGHd5avE6meN+sQ4M25unOGQEoWQBBd76BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:03:06.753220Z"},"content_sha256":"f0985c03d70f6fc0e35685c6ebd296f3300259be576d4f559141c070175ea31d","schema_version":"1.0","event_id":"sha256:f0985c03d70f6fc0e35685c6ebd296f3300259be576d4f559141c070175ea31d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3LR23NPXFSZZFKFVSBUOIACOVH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal Consistency","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amir M. Mansourian, Farnoosh Arefi, Shohreh Kasaei","submitted_at":"2024-08-29T16:05:05Z","abstract_excerpt":"The performance of Video Instance Segmentation (VIS) methods has improved significantly with the advent of transformer networks. However, these networks often face challenges in training due to the high annotation cost. To address this, unsupervised and weakly-supervised methods have been developed to reduce the dependency on annotations. This work introduces a novel weakly-supervised method called Eigen-Cluster VIS that, without requiring any mask annotations, achieves competitive accuracy compared to other VIS approaches. This method is based on two key innovations: a Temporal Eigenvalue Los"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.16661","kind":"arxiv","version":2},"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/2408.16661/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":"2026-07-05T09:39:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N2ymPpd7TMB8KxVhiOsKpahLDygx2qEc4ZYb7aILV2KJyK+MJm6/09RjBpsTy7xEo3xBpSwjtbZGRQLAwgI6Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:03:06.753620Z"},"content_sha256":"79613ae7740008d3248ba622c9a094cd58f06a29859f6573762c4ccffda05a9c","schema_version":"1.0","event_id":"sha256:79613ae7740008d3248ba622c9a094cd58f06a29859f6573762c4ccffda05a9c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3LR23NPXFSZZFKFVSBUOIACOVH/bundle.json","state_url":"https://pith.science/pith/3LR23NPXFSZZFKFVSBUOIACOVH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3LR23NPXFSZZFKFVSBUOIACOVH/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":"2026-07-09T06:03:06Z","links":{"resolver":"https://pith.science/pith/3LR23NPXFSZZFKFVSBUOIACOVH","bundle":"https://pith.science/pith/3LR23NPXFSZZFKFVSBUOIACOVH/bundle.json","state":"https://pith.science/pith/3LR23NPXFSZZFKFVSBUOIACOVH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3LR23NPXFSZZFKFVSBUOIACOVH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3LR23NPXFSZZFKFVSBUOIACOVH","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":"8f8b13d28073cdec7b4b5982c1f052b0f3aaaed2370b5a3dc381c8c0058a7413","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-29T16:05:05Z","title_canon_sha256":"5405e7552be0acefe79638cefcc1a6bebfaf9fd5021efb7c3dbf4f6117b7f493"},"schema_version":"1.0","source":{"id":"2408.16661","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.16661","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"arxiv_version","alias_value":"2408.16661v2","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.16661","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"pith_short_12","alias_value":"3LR23NPXFSZZ","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"pith_short_16","alias_value":"3LR23NPXFSZZFKFV","created_at":"2026-07-05T09:39:26Z"},{"alias_kind":"pith_short_8","alias_value":"3LR23NPX","created_at":"2026-07-05T09:39:26Z"}],"graph_snapshots":[{"event_id":"sha256:79613ae7740008d3248ba622c9a094cd58f06a29859f6573762c4ccffda05a9c","target":"graph","created_at":"2026-07-05T09:39:26Z","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/2408.16661/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The performance of Video Instance Segmentation (VIS) methods has improved significantly with the advent of transformer networks. However, these networks often face challenges in training due to the high annotation cost. To address this, unsupervised and weakly-supervised methods have been developed to reduce the dependency on annotations. This work introduces a novel weakly-supervised method called Eigen-Cluster VIS that, without requiring any mask annotations, achieves competitive accuracy compared to other VIS approaches. This method is based on two key innovations: a Temporal Eigenvalue Los","authors_text":"Amir M. Mansourian, Farnoosh Arefi, Shohreh Kasaei","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-29T16:05:05Z","title":"Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal Consistency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.16661","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:f0985c03d70f6fc0e35685c6ebd296f3300259be576d4f559141c070175ea31d","target":"record","created_at":"2026-07-05T09:39:26Z","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":"8f8b13d28073cdec7b4b5982c1f052b0f3aaaed2370b5a3dc381c8c0058a7413","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-29T16:05:05Z","title_canon_sha256":"5405e7552be0acefe79638cefcc1a6bebfaf9fd5021efb7c3dbf4f6117b7f493"},"schema_version":"1.0","source":{"id":"2408.16661","kind":"arxiv","version":2}},"canonical_sha256":"dae3adb5f72cb392a8b59068e4004ea9c380d798518289e7e12cc417b82efe1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dae3adb5f72cb392a8b59068e4004ea9c380d798518289e7e12cc417b82efe1d","first_computed_at":"2026-07-05T09:39:26.363111Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:26.363111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QZfp7+dQk1TgxvCQso+ANd9O6etpTBlXx7izb74lRySzJlD2oRJYCoc8ZdTO8UhpVYZTnY7jIZmVf5qZKz3fDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:26.363648Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.16661","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0985c03d70f6fc0e35685c6ebd296f3300259be576d4f559141c070175ea31d","sha256:79613ae7740008d3248ba622c9a094cd58f06a29859f6573762c4ccffda05a9c"],"state_sha256":"c61e8aac620c73bf40d86cea1c8f4a7a916c1139879d66b38f85ec788cceb4d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H4KI2LugL/EDinWloXelssSpqcOQeGC5wpvpoY+ksjximbXAm8AScGP/Nx5VMhiiu6VbTYFG80YGSRTidG3YDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T06:03:06.755919Z","bundle_sha256":"fde6060420dde2fd391976db6dc21585b9f4eae61782e3c5d1045c65a95d16ff"}}