{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:66M4C2UQ6ILAIMOCIBX7H2GV4M","short_pith_number":"pith:66M4C2UQ","canonical_record":{"source":{"id":"2607.24598","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-27T16:00:03Z","cross_cats_sorted":[],"title_canon_sha256":"3dc6cd75c89d3cace04528ea058720cff3cd1676cd103cf673fd910fb3467e0b","abstract_canon_sha256":"5aba76f4eb9d6aa75e425d78de29d71379ddaff0c65644b5b63c813ae226d438"},"schema_version":"1.0"},"canonical_sha256":"f799c16a90f2160431c2406ff3e8d5e322479d3b2605b02aa901149cd7ee61e7","source":{"kind":"arxiv","id":"2607.24598","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24598","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24598v1","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24598","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"pith_short_12","alias_value":"66M4C2UQ6ILA","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"pith_short_16","alias_value":"66M4C2UQ6ILAIMOC","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"pith_short_8","alias_value":"66M4C2UQ","created_at":"2026-07-28T02:24:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:66M4C2UQ6ILAIMOCIBX7H2GV4M","target":"record","payload":{"canonical_record":{"source":{"id":"2607.24598","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-27T16:00:03Z","cross_cats_sorted":[],"title_canon_sha256":"3dc6cd75c89d3cace04528ea058720cff3cd1676cd103cf673fd910fb3467e0b","abstract_canon_sha256":"5aba76f4eb9d6aa75e425d78de29d71379ddaff0c65644b5b63c813ae226d438"},"schema_version":"1.0"},"canonical_sha256":"f799c16a90f2160431c2406ff3e8d5e322479d3b2605b02aa901149cd7ee61e7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T02:24:12.232744Z","signature_b64":"vsOI5fFSmzNhq9ToeC1ZPISTdebPep91yTPdgxMxPB9SRYlD8tNcopiScFKy0o49s05B5nbX7DmUmsowufrhCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f799c16a90f2160431c2406ff3e8d5e322479d3b2605b02aa901149cd7ee61e7","last_reissued_at":"2026-07-28T02:24:12.231907Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T02:24:12.231907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.24598","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":"2026-07-28T02:24:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VzFqi4VXEElE1fJxjwFhwKntqln8ihPrSYfvCQs2EDyxoLAbd0qA3c2vnFu2Js+ChZlDOYXMdS8ebpfBd9gvAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:12:27.948760Z"},"content_sha256":"7b3d1885f749376ada47d8f254a0c98384c139bf2f3e90a7740bc1b63e7f35a7","schema_version":"1.0","event_id":"sha256:7b3d1885f749376ada47d8f254a0c98384c139bf2f3e90a7740bc1b63e7f35a7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:66M4C2UQ6ILAIMOCIBX7H2GV4M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"QueenVIS: Rethinking Image-Only Training for Video Instance Segmentation via Query Enrichment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arian Kheirandish, Ehsan Javanmardi, Fardin Ayar, Mahdi Javanmardi, Manabu Tsukada","submitted_at":"2026-07-27T16:00:03Z","abstract_excerpt":"Video instance segmentation (VIS) requires models to detect, segment, and track object identities across frames, and most methods enforce temporal consistency through video-level supervision. Image-only training approaches, with MinVIS as one prominent example, have challenged this assumption, reaching competitive VIS without video training by treating frames as independent images and associating instances only at inference. The field has nonetheless moved toward ever more elaborate video-trained trackers, which depend on costly identity-consistent annotations, leaving the image-only direction"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24598","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/2607.24598/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":"2026-07-28T02:24:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YP/fGbBY+eD4OifyqR485nL3tqtRMA7hrxKB5LJbOCjINTwHebXKBGPp0d8dSb+e/e7KIMK+JAf3lFTwndawAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:12:27.949244Z"},"content_sha256":"ec832d058e1e19e66938255d6a63db4ca4eedadd5e1de164964191841a5ab4d2","schema_version":"1.0","event_id":"sha256:ec832d058e1e19e66938255d6a63db4ca4eedadd5e1de164964191841a5ab4d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/66M4C2UQ6ILAIMOCIBX7H2GV4M/bundle.json","state_url":"https://pith.science/pith/66M4C2UQ6ILAIMOCIBX7H2GV4M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/66M4C2UQ6ILAIMOCIBX7H2GV4M/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":"2026-08-07T06:12:27Z","links":{"resolver":"https://pith.science/pith/66M4C2UQ6ILAIMOCIBX7H2GV4M","bundle":"https://pith.science/pith/66M4C2UQ6ILAIMOCIBX7H2GV4M/bundle.json","state":"https://pith.science/pith/66M4C2UQ6ILAIMOCIBX7H2GV4M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/66M4C2UQ6ILAIMOCIBX7H2GV4M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:66M4C2UQ6ILAIMOCIBX7H2GV4M","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":"5aba76f4eb9d6aa75e425d78de29d71379ddaff0c65644b5b63c813ae226d438","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-27T16:00:03Z","title_canon_sha256":"3dc6cd75c89d3cace04528ea058720cff3cd1676cd103cf673fd910fb3467e0b"},"schema_version":"1.0","source":{"id":"2607.24598","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24598","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24598v1","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24598","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"pith_short_12","alias_value":"66M4C2UQ6ILA","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"pith_short_16","alias_value":"66M4C2UQ6ILAIMOC","created_at":"2026-07-28T02:24:12Z"},{"alias_kind":"pith_short_8","alias_value":"66M4C2UQ","created_at":"2026-07-28T02:24:12Z"}],"graph_snapshots":[{"event_id":"sha256:ec832d058e1e19e66938255d6a63db4ca4eedadd5e1de164964191841a5ab4d2","target":"graph","created_at":"2026-07-28T02:24:12Z","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/2607.24598/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video instance segmentation (VIS) requires models to detect, segment, and track object identities across frames, and most methods enforce temporal consistency through video-level supervision. Image-only training approaches, with MinVIS as one prominent example, have challenged this assumption, reaching competitive VIS without video training by treating frames as independent images and associating instances only at inference. The field has nonetheless moved toward ever more elaborate video-trained trackers, which depend on costly identity-consistent annotations, leaving the image-only direction","authors_text":"Arian Kheirandish, Ehsan Javanmardi, Fardin Ayar, Mahdi Javanmardi, Manabu Tsukada","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-27T16:00:03Z","title":"QueenVIS: Rethinking Image-Only Training for Video Instance Segmentation via Query Enrichment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24598","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":"sha256:7b3d1885f749376ada47d8f254a0c98384c139bf2f3e90a7740bc1b63e7f35a7","target":"record","created_at":"2026-07-28T02:24:12Z","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":"5aba76f4eb9d6aa75e425d78de29d71379ddaff0c65644b5b63c813ae226d438","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-27T16:00:03Z","title_canon_sha256":"3dc6cd75c89d3cace04528ea058720cff3cd1676cd103cf673fd910fb3467e0b"},"schema_version":"1.0","source":{"id":"2607.24598","kind":"arxiv","version":1}},"canonical_sha256":"f799c16a90f2160431c2406ff3e8d5e322479d3b2605b02aa901149cd7ee61e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f799c16a90f2160431c2406ff3e8d5e322479d3b2605b02aa901149cd7ee61e7","first_computed_at":"2026-07-28T02:24:12.231907Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T02:24:12.231907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vsOI5fFSmzNhq9ToeC1ZPISTdebPep91yTPdgxMxPB9SRYlD8tNcopiScFKy0o49s05B5nbX7DmUmsowufrhCw==","signature_status":"signed_v1","signed_at":"2026-07-28T02:24:12.232744Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.24598","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b3d1885f749376ada47d8f254a0c98384c139bf2f3e90a7740bc1b63e7f35a7","sha256:ec832d058e1e19e66938255d6a63db4ca4eedadd5e1de164964191841a5ab4d2"],"state_sha256":"a0f49b59b57a981b682df5c3aa6c8f3726185d416c3946755599b26caadfb57e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"us6o5FPwxzAnq7f0J2l04bsQqhOA2/ZxiRgAqFMwS1mjYJOdSXc4TCVT7g615cRAJavPINBsu5BepWEklx7RAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:12:27.953739Z","bundle_sha256":"5dee0597088ccfa099cdb93a91053a7ad617f533007e2daddc4168a7912f9298"}}