{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PGUWSZFSOZTNIJW4FSCX4MIXAX","short_pith_number":"pith:PGUWSZFS","canonical_record":{"source":{"id":"2606.05354","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T18:56:13Z","cross_cats_sorted":[],"title_canon_sha256":"952794465c003ee8eb48a51ce14726b10c30a96210b8887e40abc71341bb860c","abstract_canon_sha256":"c03494aa6d19b64da1fd1cfa91505f9dea7cea78906f18927246b15eeb60c193"},"schema_version":"1.0"},"canonical_sha256":"79a96964b27666d426dc2c857e311705c2deaf777a7841d6a6db3536f0db5916","source":{"kind":"arxiv","id":"2606.05354","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05354","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05354v1","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05354","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_12","alias_value":"PGUWSZFSOZTN","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_16","alias_value":"PGUWSZFSOZTNIJW4","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_8","alias_value":"PGUWSZFS","created_at":"2026-06-05T00:13:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PGUWSZFSOZTNIJW4FSCX4MIXAX","target":"record","payload":{"canonical_record":{"source":{"id":"2606.05354","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T18:56:13Z","cross_cats_sorted":[],"title_canon_sha256":"952794465c003ee8eb48a51ce14726b10c30a96210b8887e40abc71341bb860c","abstract_canon_sha256":"c03494aa6d19b64da1fd1cfa91505f9dea7cea78906f18927246b15eeb60c193"},"schema_version":"1.0"},"canonical_sha256":"79a96964b27666d426dc2c857e311705c2deaf777a7841d6a6db3536f0db5916","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T00:13:55.091122Z","signature_b64":"7o8bydyigbcISviqAQuD37GHoXVcePtMxJmjeasXQhsFP3fXk2a+aZBuqbf/Drc0D/8s34OXJEDrBq5tUUt7Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79a96964b27666d426dc2c857e311705c2deaf777a7841d6a6db3536f0db5916","last_reissued_at":"2026-06-05T00:13:55.090713Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T00:13:55.090713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.05354","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":"2026-06-05T00:13:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F3mSJ1ZkKGLfG2uHOp/WB4g7WvrW7EWUoBIL1ZoOGY7llgrv3AmyMqhXlu86q1Yd3yLHp43O6qXEaYgj+1GcAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:50:58.605930Z"},"content_sha256":"7db78d8d1662446bf0b1052ffd882ef6dae8aa13f01befe6a910c5d3437c89c2","schema_version":"1.0","event_id":"sha256:7db78d8d1662446bf0b1052ffd882ef6dae8aa13f01befe6a910c5d3437c89c2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PGUWSZFSOZTNIJW4FSCX4MIXAX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Farhana Jalil, Shadman Sobhan","submitted_at":"2026-06-03T18:56:13Z","abstract_excerpt":"Retinal blood vessel segmentation plays a vital role in the early detection of diabetic retinopathy and glaucoma. While recent deep learning models have achieved great segmentation accuracy, they typically require heavy computational resources, making real-world deployment on edge devices difficult. In this paper, we propose LightVesselNet, an efficient neural network designed for retinal vessel segmentation in a resource-constrained environment. Despite containing only 75K parameters, LightVesselNet performs competitively with much larger models. The network employs a compact encoder decoder "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05354","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/2606.05354/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":"2026-06-05T00:13:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O65XAlCAJJ6wgDDch/K4wEWNnhv9yFKUsdgyVARrCCaBihzK9Upw6Oop9wCibXAGxMambrgmrNTzGw4B1dLoDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:50:58.606438Z"},"content_sha256":"d6a01ceb3cc98199349f63692972f67cbd6cd9cd55214e2f80605d2b4fb29bc2","schema_version":"1.0","event_id":"sha256:d6a01ceb3cc98199349f63692972f67cbd6cd9cd55214e2f80605d2b4fb29bc2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PGUWSZFSOZTNIJW4FSCX4MIXAX/bundle.json","state_url":"https://pith.science/pith/PGUWSZFSOZTNIJW4FSCX4MIXAX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PGUWSZFSOZTNIJW4FSCX4MIXAX/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":"2026-08-09T06:50:58Z","links":{"resolver":"https://pith.science/pith/PGUWSZFSOZTNIJW4FSCX4MIXAX","bundle":"https://pith.science/pith/PGUWSZFSOZTNIJW4FSCX4MIXAX/bundle.json","state":"https://pith.science/pith/PGUWSZFSOZTNIJW4FSCX4MIXAX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PGUWSZFSOZTNIJW4FSCX4MIXAX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PGUWSZFSOZTNIJW4FSCX4MIXAX","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":"c03494aa6d19b64da1fd1cfa91505f9dea7cea78906f18927246b15eeb60c193","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T18:56:13Z","title_canon_sha256":"952794465c003ee8eb48a51ce14726b10c30a96210b8887e40abc71341bb860c"},"schema_version":"1.0","source":{"id":"2606.05354","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05354","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05354v1","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05354","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_12","alias_value":"PGUWSZFSOZTN","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_16","alias_value":"PGUWSZFSOZTNIJW4","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_8","alias_value":"PGUWSZFS","created_at":"2026-06-05T00:13:55Z"}],"graph_snapshots":[{"event_id":"sha256:d6a01ceb3cc98199349f63692972f67cbd6cd9cd55214e2f80605d2b4fb29bc2","target":"graph","created_at":"2026-06-05T00:13:55Z","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/2606.05354/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retinal blood vessel segmentation plays a vital role in the early detection of diabetic retinopathy and glaucoma. While recent deep learning models have achieved great segmentation accuracy, they typically require heavy computational resources, making real-world deployment on edge devices difficult. In this paper, we propose LightVesselNet, an efficient neural network designed for retinal vessel segmentation in a resource-constrained environment. Despite containing only 75K parameters, LightVesselNet performs competitively with much larger models. The network employs a compact encoder decoder ","authors_text":"Farhana Jalil, Shadman Sobhan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T18:56:13Z","title":"LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05354","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":"sha256:7db78d8d1662446bf0b1052ffd882ef6dae8aa13f01befe6a910c5d3437c89c2","target":"record","created_at":"2026-06-05T00:13:55Z","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":"c03494aa6d19b64da1fd1cfa91505f9dea7cea78906f18927246b15eeb60c193","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T18:56:13Z","title_canon_sha256":"952794465c003ee8eb48a51ce14726b10c30a96210b8887e40abc71341bb860c"},"schema_version":"1.0","source":{"id":"2606.05354","kind":"arxiv","version":1}},"canonical_sha256":"79a96964b27666d426dc2c857e311705c2deaf777a7841d6a6db3536f0db5916","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79a96964b27666d426dc2c857e311705c2deaf777a7841d6a6db3536f0db5916","first_computed_at":"2026-06-05T00:13:55.090713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T00:13:55.090713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7o8bydyigbcISviqAQuD37GHoXVcePtMxJmjeasXQhsFP3fXk2a+aZBuqbf/Drc0D/8s34OXJEDrBq5tUUt7Ag==","signature_status":"signed_v1","signed_at":"2026-06-05T00:13:55.091122Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.05354","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7db78d8d1662446bf0b1052ffd882ef6dae8aa13f01befe6a910c5d3437c89c2","sha256:d6a01ceb3cc98199349f63692972f67cbd6cd9cd55214e2f80605d2b4fb29bc2"],"state_sha256":"9c7b57e6e5a581ec4e4fc699f0b8ea9bc5236f98813b0ffb8bd7f4cddf618a25"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lAlknvMX49Lqrs/uBAe/F6JWqWzE42hqlW8TvcG6b6oOYop4Evv2kuth5Ny3aOtuj0KzwF2gwQn5kK/Wtzd3CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T06:50:58.610003Z","bundle_sha256":"5252e3d93e1451f9d028f8e828294dac89015a4147751a582d8e126456bcaebe"}}