{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AHVRU6XRVYINGY4OUDTZFJXBZF","short_pith_number":"pith:AHVRU6XR","canonical_record":{"source":{"id":"2606.31136","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T05:06:06Z","cross_cats_sorted":[],"title_canon_sha256":"3e632696e0078fb4bf0e57a7d4ef6c51895afc62f57e3f19526076800cd8073c","abstract_canon_sha256":"270fb42c6f2d721f0465aa308e1c801db550fe80ffc797ad150d4fd0472b32b5"},"schema_version":"1.0"},"canonical_sha256":"01eb1a7af1ae10d3638ea0e792a6e1c950ecb266211bea2d335a350b877afacb","source":{"kind":"arxiv","id":"2606.31136","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.31136","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"arxiv_version","alias_value":"2606.31136v1","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.31136","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"pith_short_12","alias_value":"AHVRU6XRVYIN","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"pith_short_16","alias_value":"AHVRU6XRVYINGY4O","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"pith_short_8","alias_value":"AHVRU6XR","created_at":"2026-07-01T01:17:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AHVRU6XRVYINGY4OUDTZFJXBZF","target":"record","payload":{"canonical_record":{"source":{"id":"2606.31136","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T05:06:06Z","cross_cats_sorted":[],"title_canon_sha256":"3e632696e0078fb4bf0e57a7d4ef6c51895afc62f57e3f19526076800cd8073c","abstract_canon_sha256":"270fb42c6f2d721f0465aa308e1c801db550fe80ffc797ad150d4fd0472b32b5"},"schema_version":"1.0"},"canonical_sha256":"01eb1a7af1ae10d3638ea0e792a6e1c950ecb266211bea2d335a350b877afacb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T01:17:30.221162Z","signature_b64":"7N+pU3U7sFGFuuaioT0XVAi1Z7629gFHSJ0/VdkyE5f0Vu4Lfq/UK370YoxnvYO9nbAJKyFSJoC5XDbCeA9ZBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"01eb1a7af1ae10d3638ea0e792a6e1c950ecb266211bea2d335a350b877afacb","last_reissued_at":"2026-07-01T01:17:30.220757Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T01:17:30.220757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.31136","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":"2026-07-01T01:17:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lvTYj4F+WpvxVnGvSAttSUjdOj9S7mMTGTbOhLei4MmWc/UgBfJZCPONNwDeoh4oSBBkwOpQNnz4yhBEy/g7AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T22:08:23.223924Z"},"content_sha256":"9fc05999e0b046bced89a5a0123e33280ef01b41f19f29429c1671892f961334","schema_version":"1.0","event_id":"sha256:9fc05999e0b046bced89a5a0123e33280ef01b41f19f29429c1671892f961334"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AHVRU6XRVYINGY4OUDTZFJXBZF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FROST: Training-Free Few-Shot Segmentation with Frozen Features and Nonparametric Statistics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junghwan Park","submitted_at":"2026-06-30T05:06:06Z","abstract_excerpt":"Few-shot segmentation asks a model to delineate a target class in a query image from only a handful of annotated examples, a setting most acute in remote sensing, where labels are scarce and the imagery departs sharply from the natural images on which vision backbones are pretrained. Prevailing approaches either train a segmenter on labelled episodes, which raises accuracy within the training distribution but binds the model to it, or reduce each class to a lossy summary of frozen features, a single prototype, a few cluster prototypes, or a discrete clustering, none of which preserves the inte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.31136","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/2606.31136/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":"2026-07-01T01:17:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4QfK/3I3jqvq/+loTgcxofdR5DTOlpzi1Xw2FKsyu3bQeltY3eucp14hbDBUEuAYNHgR/mnSrne51OylIwk3BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T22:08:23.224276Z"},"content_sha256":"3656e96df4d41d660b743ccaa7126706bf8a7acea129caf84ccd98f93c775a55","schema_version":"1.0","event_id":"sha256:3656e96df4d41d660b743ccaa7126706bf8a7acea129caf84ccd98f93c775a55"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AHVRU6XRVYINGY4OUDTZFJXBZF/bundle.json","state_url":"https://pith.science/pith/AHVRU6XRVYINGY4OUDTZFJXBZF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AHVRU6XRVYINGY4OUDTZFJXBZF/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":"2026-07-04T22:08:23Z","links":{"resolver":"https://pith.science/pith/AHVRU6XRVYINGY4OUDTZFJXBZF","bundle":"https://pith.science/pith/AHVRU6XRVYINGY4OUDTZFJXBZF/bundle.json","state":"https://pith.science/pith/AHVRU6XRVYINGY4OUDTZFJXBZF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AHVRU6XRVYINGY4OUDTZFJXBZF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AHVRU6XRVYINGY4OUDTZFJXBZF","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":"270fb42c6f2d721f0465aa308e1c801db550fe80ffc797ad150d4fd0472b32b5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T05:06:06Z","title_canon_sha256":"3e632696e0078fb4bf0e57a7d4ef6c51895afc62f57e3f19526076800cd8073c"},"schema_version":"1.0","source":{"id":"2606.31136","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.31136","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"arxiv_version","alias_value":"2606.31136v1","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.31136","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"pith_short_12","alias_value":"AHVRU6XRVYIN","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"pith_short_16","alias_value":"AHVRU6XRVYINGY4O","created_at":"2026-07-01T01:17:30Z"},{"alias_kind":"pith_short_8","alias_value":"AHVRU6XR","created_at":"2026-07-01T01:17:30Z"}],"graph_snapshots":[{"event_id":"sha256:3656e96df4d41d660b743ccaa7126706bf8a7acea129caf84ccd98f93c775a55","target":"graph","created_at":"2026-07-01T01:17:30Z","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/2606.31136/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Few-shot segmentation asks a model to delineate a target class in a query image from only a handful of annotated examples, a setting most acute in remote sensing, where labels are scarce and the imagery departs sharply from the natural images on which vision backbones are pretrained. Prevailing approaches either train a segmenter on labelled episodes, which raises accuracy within the training distribution but binds the model to it, or reduce each class to a lossy summary of frozen features, a single prototype, a few cluster prototypes, or a discrete clustering, none of which preserves the inte","authors_text":"Junghwan Park","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T05:06:06Z","title":"FROST: Training-Free Few-Shot Segmentation with Frozen Features and Nonparametric Statistics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.31136","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":"sha256:9fc05999e0b046bced89a5a0123e33280ef01b41f19f29429c1671892f961334","target":"record","created_at":"2026-07-01T01:17:30Z","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":"270fb42c6f2d721f0465aa308e1c801db550fe80ffc797ad150d4fd0472b32b5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T05:06:06Z","title_canon_sha256":"3e632696e0078fb4bf0e57a7d4ef6c51895afc62f57e3f19526076800cd8073c"},"schema_version":"1.0","source":{"id":"2606.31136","kind":"arxiv","version":1}},"canonical_sha256":"01eb1a7af1ae10d3638ea0e792a6e1c950ecb266211bea2d335a350b877afacb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"01eb1a7af1ae10d3638ea0e792a6e1c950ecb266211bea2d335a350b877afacb","first_computed_at":"2026-07-01T01:17:30.220757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T01:17:30.220757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7N+pU3U7sFGFuuaioT0XVAi1Z7629gFHSJ0/VdkyE5f0Vu4Lfq/UK370YoxnvYO9nbAJKyFSJoC5XDbCeA9ZBA==","signature_status":"signed_v1","signed_at":"2026-07-01T01:17:30.221162Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.31136","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9fc05999e0b046bced89a5a0123e33280ef01b41f19f29429c1671892f961334","sha256:3656e96df4d41d660b743ccaa7126706bf8a7acea129caf84ccd98f93c775a55"],"state_sha256":"4db555ec320740f316275c1fa2a170770971c038be54bf3b8803207fd4920b5a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gclnl/1GS/869zLhHDivHifDIhLuAT+vcEfO+A+OeEoAlyHuGxu8rpIoNAlrXyXZU0uSdo6v44/LSOvy215lDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T22:08:23.226134Z","bundle_sha256":"c193ee00b150b46f0d2ef517d4829d8a902275d5ba6ba2b904f851c146bb2beb"}}