{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JGIHCLDRHZ4THSL6LSOVJF3XLE","short_pith_number":"pith:JGIHCLDR","canonical_record":{"source":{"id":"2607.29278","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-31T10:49:16Z","cross_cats_sorted":[],"title_canon_sha256":"4430f4384565e4b4f73b44b755fa58deb01ae5a86a0677ccbd9e39c8598c375b","abstract_canon_sha256":"0257bbb1a005df2326b845aef67561232fa18d9b64b76836e3d964a170e77a70"},"schema_version":"1.0"},"canonical_sha256":"4990712c713e7933c97e5c9d5497775901f6efd21783e69f47b1b31b6f418110","source":{"kind":"arxiv","id":"2607.29278","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29278","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29278v1","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29278","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"pith_short_12","alias_value":"JGIHCLDRHZ4T","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"pith_short_16","alias_value":"JGIHCLDRHZ4THSL6","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"pith_short_8","alias_value":"JGIHCLDR","created_at":"2026-08-03T01:23:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JGIHCLDRHZ4THSL6LSOVJF3XLE","target":"record","payload":{"canonical_record":{"source":{"id":"2607.29278","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-31T10:49:16Z","cross_cats_sorted":[],"title_canon_sha256":"4430f4384565e4b4f73b44b755fa58deb01ae5a86a0677ccbd9e39c8598c375b","abstract_canon_sha256":"0257bbb1a005df2326b845aef67561232fa18d9b64b76836e3d964a170e77a70"},"schema_version":"1.0"},"canonical_sha256":"4990712c713e7933c97e5c9d5497775901f6efd21783e69f47b1b31b6f418110","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-03T01:23:24.778837Z","signature_b64":"SPIazZ/nCB6PTJo7+CFoR9DEpfuPCwz9N+tjsF0eZ21ENM7zgUKEREQ4dsVgOrPFhHHydZ8tE87a1TF5Q79NAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4990712c713e7933c97e5c9d5497775901f6efd21783e69f47b1b31b6f418110","last_reissued_at":"2026-08-03T01:23:24.777245Z","signature_status":"signed_v1","first_computed_at":"2026-08-03T01:23:24.777245Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.29278","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":"2026-08-03T01:23:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qogv+GBUXj1JO7z0eq3y2SjJ6+nbqI6Mv9OeRB7kKTEJUAQycAbOoZoVPhV8l45GO5hHPsdf0vTHo9Y3irSVAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:36:23.145847Z"},"content_sha256":"10f1ccb2222abb81d1e20bc2af471998cfd7a81ce6c4d2dabfe53ec0551acb19","schema_version":"1.0","event_id":"sha256:10f1ccb2222abb81d1e20bc2af471998cfd7a81ce6c4d2dabfe53ec0551acb19"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JGIHCLDRHZ4THSL6LSOVJF3XLE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Training-Free Entity-Level Few-Shot Segmentation of Remote Sensing Images with Advection Refinement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huan Ni, Xueting Bai","submitted_at":"2026-07-31T10:49:16Z","abstract_excerpt":"Existing cross-domain few-shot segmentation approaches suffer from high training costs due to source-domain episodic training and pixel-wise dense prediction, while often producing fragmented and noisy predictions. To overcome these issues, we propose a training-free entity-level few-shot segmentation framework for remote sensing images with advection refinement. Specifically, we first leverage SAM3's generic geometric priors to generate category-agnostic entity primitives. By reformulating few-shot inference from pixel-level prediction to entity-level reasoning, foreground and background prot"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29278","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/2607.29278/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":"2026-08-03T01:23:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JfDMiwoBqmAVnPZ4y9eTzUKvU9jOpOEfDcYSn/1KnW1fOvRJ894lXpe0yWn5hEP397gU3FL+ttTPh1EruFR4Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:36:23.146575Z"},"content_sha256":"6a47f1fcc7c6965f309a2ea84eeef83434e9172638ca2b6c2271310bdc0d093f","schema_version":"1.0","event_id":"sha256:6a47f1fcc7c6965f309a2ea84eeef83434e9172638ca2b6c2271310bdc0d093f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JGIHCLDRHZ4THSL6LSOVJF3XLE/bundle.json","state_url":"https://pith.science/pith/JGIHCLDRHZ4THSL6LSOVJF3XLE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JGIHCLDRHZ4THSL6LSOVJF3XLE/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":"2026-08-04T10:36:23Z","links":{"resolver":"https://pith.science/pith/JGIHCLDRHZ4THSL6LSOVJF3XLE","bundle":"https://pith.science/pith/JGIHCLDRHZ4THSL6LSOVJF3XLE/bundle.json","state":"https://pith.science/pith/JGIHCLDRHZ4THSL6LSOVJF3XLE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JGIHCLDRHZ4THSL6LSOVJF3XLE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JGIHCLDRHZ4THSL6LSOVJF3XLE","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":"0257bbb1a005df2326b845aef67561232fa18d9b64b76836e3d964a170e77a70","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-31T10:49:16Z","title_canon_sha256":"4430f4384565e4b4f73b44b755fa58deb01ae5a86a0677ccbd9e39c8598c375b"},"schema_version":"1.0","source":{"id":"2607.29278","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29278","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29278v1","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29278","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"pith_short_12","alias_value":"JGIHCLDRHZ4T","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"pith_short_16","alias_value":"JGIHCLDRHZ4THSL6","created_at":"2026-08-03T01:23:24Z"},{"alias_kind":"pith_short_8","alias_value":"JGIHCLDR","created_at":"2026-08-03T01:23:24Z"}],"graph_snapshots":[{"event_id":"sha256:6a47f1fcc7c6965f309a2ea84eeef83434e9172638ca2b6c2271310bdc0d093f","target":"graph","created_at":"2026-08-03T01:23:24Z","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/2607.29278/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing cross-domain few-shot segmentation approaches suffer from high training costs due to source-domain episodic training and pixel-wise dense prediction, while often producing fragmented and noisy predictions. To overcome these issues, we propose a training-free entity-level few-shot segmentation framework for remote sensing images with advection refinement. Specifically, we first leverage SAM3's generic geometric priors to generate category-agnostic entity primitives. By reformulating few-shot inference from pixel-level prediction to entity-level reasoning, foreground and background prot","authors_text":"Huan Ni, Xueting Bai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-31T10:49:16Z","title":"Training-Free Entity-Level Few-Shot Segmentation of Remote Sensing Images with Advection Refinement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29278","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":"sha256:10f1ccb2222abb81d1e20bc2af471998cfd7a81ce6c4d2dabfe53ec0551acb19","target":"record","created_at":"2026-08-03T01:23:24Z","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":"0257bbb1a005df2326b845aef67561232fa18d9b64b76836e3d964a170e77a70","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-31T10:49:16Z","title_canon_sha256":"4430f4384565e4b4f73b44b755fa58deb01ae5a86a0677ccbd9e39c8598c375b"},"schema_version":"1.0","source":{"id":"2607.29278","kind":"arxiv","version":1}},"canonical_sha256":"4990712c713e7933c97e5c9d5497775901f6efd21783e69f47b1b31b6f418110","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4990712c713e7933c97e5c9d5497775901f6efd21783e69f47b1b31b6f418110","first_computed_at":"2026-08-03T01:23:24.777245Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-03T01:23:24.777245Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SPIazZ/nCB6PTJo7+CFoR9DEpfuPCwz9N+tjsF0eZ21ENM7zgUKEREQ4dsVgOrPFhHHydZ8tE87a1TF5Q79NAA==","signature_status":"signed_v1","signed_at":"2026-08-03T01:23:24.778837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.29278","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:10f1ccb2222abb81d1e20bc2af471998cfd7a81ce6c4d2dabfe53ec0551acb19","sha256:6a47f1fcc7c6965f309a2ea84eeef83434e9172638ca2b6c2271310bdc0d093f"],"state_sha256":"fac552616499b5f23caa74efedeaad71bb3a5f257d9842fba7240185982a4722"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ATFju9JoI+wpq73hnWAzmuCkVFKF/Xmm4QqHFNwB3xnG32ct6Q9wMmkPssX4i0lTsqv/D9nkFhAXmgT1oKO/CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T10:36:23.153837Z","bundle_sha256":"72cd9cfadb2afbc5b464d38abe0dd268e90acb87367baad120415f8b937d7e37"}}