{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WXC5N2Q6G7PIWM4764SS6PIEZ2","short_pith_number":"pith:WXC5N2Q6","canonical_record":{"source":{"id":"2308.07706","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T11:28:21Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"6d08ae24483f2ca63b4401a00e6215d98e024ad11213fc5a964a055efde8db76","abstract_canon_sha256":"a49bf932cb77545a35b6709064de565878cf9ead15140045d2bc92b6774d28d1"},"schema_version":"1.0"},"canonical_sha256":"b5c5d6ea1e37de8b339ff7252f3d04ceba9e9fb31708eb45a8e79b142f7063b2","source":{"kind":"arxiv","id":"2308.07706","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.07706","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"arxiv_version","alias_value":"2308.07706v3","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.07706","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"pith_short_12","alias_value":"WXC5N2Q6G7PI","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"pith_short_16","alias_value":"WXC5N2Q6G7PIWM47","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"pith_short_8","alias_value":"WXC5N2Q6","created_at":"2026-07-05T08:34:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WXC5N2Q6G7PIWM4764SS6PIEZ2","target":"record","payload":{"canonical_record":{"source":{"id":"2308.07706","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T11:28:21Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"6d08ae24483f2ca63b4401a00e6215d98e024ad11213fc5a964a055efde8db76","abstract_canon_sha256":"a49bf932cb77545a35b6709064de565878cf9ead15140045d2bc92b6774d28d1"},"schema_version":"1.0"},"canonical_sha256":"b5c5d6ea1e37de8b339ff7252f3d04ceba9e9fb31708eb45a8e79b142f7063b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:34:05.243516Z","signature_b64":"x0UyjCu28KVlCwYxK8t8XOweVbfL61Z1yFBfjzEfnYkmdkIy/+AeoMwxXh2jC+Ik5pFkYbJJ+CNM95y0K9CWBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b5c5d6ea1e37de8b339ff7252f3d04ceba9e9fb31708eb45a8e79b142f7063b2","last_reissued_at":"2026-07-05T08:34:05.243021Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:34:05.243021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.07706","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:34:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OjpeObsjGfe4cMi44EoJEXXPWPWDDeO+ieuk89OqmEqSsSYYotGsGS/cCUDDzxuAoTDtOFzGtIwZzwYxRcBYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:45:10.673259Z"},"content_sha256":"6ef0a522b18c93f6381b98a2ef36457740be67af2f9bb4c811e37e03c0d8a234","schema_version":"1.0","event_id":"sha256:6ef0a522b18c93f6381b98a2ef36457740be67af2f9bb4c811e37e03c0d8a234"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WXC5N2Q6G7PIWM4764SS6PIEZ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.CV","authors_text":"Bishesh Khanal, Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya","submitted_at":"2023-08-15T11:28:21Z","abstract_excerpt":"Medical image segmentation allows quantifying target structure size and shape, aiding in disease diagnosis, prognosis, surgery planning, and comprehension.Building upon recent advancements in foundation Vision-Language Models (VLMs) from natural image-text pairs, several studies have proposed adapting them to Vision-Language Segmentation Models (VLSMs) that allow using language text as an additional input to segmentation models. Introducing auxiliary information via text with human-in-the-loop prompting during inference opens up unique opportunities, such as open vocabulary segmentation and po"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.07706","kind":"arxiv","version":3},"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/2308.07706/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":"2026-07-05T08:34:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/GT7l+dKHRuzE01GIfcQW34W2T+aYMKhTprxzonjS+VkSiMu8yZckGwrbirxhm3ZVe00dTloV9fR6C9HIUnWDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:45:10.673743Z"},"content_sha256":"b3bf1fdad322c107d49b0bfe5d858a0652514fc34e0d1398af7dfc1b7964cfba","schema_version":"1.0","event_id":"sha256:b3bf1fdad322c107d49b0bfe5d858a0652514fc34e0d1398af7dfc1b7964cfba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WXC5N2Q6G7PIWM4764SS6PIEZ2/bundle.json","state_url":"https://pith.science/pith/WXC5N2Q6G7PIWM4764SS6PIEZ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WXC5N2Q6G7PIWM4764SS6PIEZ2/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":"2026-08-04T10:45:10Z","links":{"resolver":"https://pith.science/pith/WXC5N2Q6G7PIWM4764SS6PIEZ2","bundle":"https://pith.science/pith/WXC5N2Q6G7PIWM4764SS6PIEZ2/bundle.json","state":"https://pith.science/pith/WXC5N2Q6G7PIWM4764SS6PIEZ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WXC5N2Q6G7PIWM4764SS6PIEZ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WXC5N2Q6G7PIWM4764SS6PIEZ2","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":"a49bf932cb77545a35b6709064de565878cf9ead15140045d2bc92b6774d28d1","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T11:28:21Z","title_canon_sha256":"6d08ae24483f2ca63b4401a00e6215d98e024ad11213fc5a964a055efde8db76"},"schema_version":"1.0","source":{"id":"2308.07706","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.07706","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"arxiv_version","alias_value":"2308.07706v3","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.07706","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"pith_short_12","alias_value":"WXC5N2Q6G7PI","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"pith_short_16","alias_value":"WXC5N2Q6G7PIWM47","created_at":"2026-07-05T08:34:05Z"},{"alias_kind":"pith_short_8","alias_value":"WXC5N2Q6","created_at":"2026-07-05T08:34:05Z"}],"graph_snapshots":[{"event_id":"sha256:b3bf1fdad322c107d49b0bfe5d858a0652514fc34e0d1398af7dfc1b7964cfba","target":"graph","created_at":"2026-07-05T08:34:05Z","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/2308.07706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical image segmentation allows quantifying target structure size and shape, aiding in disease diagnosis, prognosis, surgery planning, and comprehension.Building upon recent advancements in foundation Vision-Language Models (VLMs) from natural image-text pairs, several studies have proposed adapting them to Vision-Language Segmentation Models (VLSMs) that allow using language text as an additional input to segmentation models. Introducing auxiliary information via text with human-in-the-loop prompting during inference opens up unique opportunities, such as open vocabulary segmentation and po","authors_text":"Bishesh Khanal, Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T11:28:21Z","title":"Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.07706","kind":"arxiv","version":3},"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":"sha256:6ef0a522b18c93f6381b98a2ef36457740be67af2f9bb4c811e37e03c0d8a234","target":"record","created_at":"2026-07-05T08:34:05Z","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":"a49bf932cb77545a35b6709064de565878cf9ead15140045d2bc92b6774d28d1","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T11:28:21Z","title_canon_sha256":"6d08ae24483f2ca63b4401a00e6215d98e024ad11213fc5a964a055efde8db76"},"schema_version":"1.0","source":{"id":"2308.07706","kind":"arxiv","version":3}},"canonical_sha256":"b5c5d6ea1e37de8b339ff7252f3d04ceba9e9fb31708eb45a8e79b142f7063b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b5c5d6ea1e37de8b339ff7252f3d04ceba9e9fb31708eb45a8e79b142f7063b2","first_computed_at":"2026-07-05T08:34:05.243021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:34:05.243021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x0UyjCu28KVlCwYxK8t8XOweVbfL61Z1yFBfjzEfnYkmdkIy/+AeoMwxXh2jC+Ik5pFkYbJJ+CNM95y0K9CWBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:34:05.243516Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.07706","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ef0a522b18c93f6381b98a2ef36457740be67af2f9bb4c811e37e03c0d8a234","sha256:b3bf1fdad322c107d49b0bfe5d858a0652514fc34e0d1398af7dfc1b7964cfba"],"state_sha256":"65248b3d7b9c4edabbca900f1e68333d1c6d9aeca79c53ffba53c983b050f091"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2gEFIF/NqOu+s4NrXTL6z8sCOAnSc7ydIEVX5MOY3vqPGNwDBw3ssNM/uqdfYv3xCbDzGktkQ6LFltvR/FCvDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T10:45:10.677292Z","bundle_sha256":"d3ce3f1513a6664e65ad1710cbd405ca7eb3926010543eab21e3d4304002b7f0"}}