{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SW5ZKR3GHTRLDIUPTIXJRX5STF","short_pith_number":"pith:SW5ZKR3G","canonical_record":{"source":{"id":"2505.19863","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T11:48:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"df1926205479d9aa64bb5274ccf221f35d281b9377b8d528739da3299524d1f6","abstract_canon_sha256":"773694a0d2eec4f8b8d196c72c3316d77102028314f084bc33f03e6abd8de6db"},"schema_version":"1.0"},"canonical_sha256":"95bb9547663ce2b1a28f9a2e98dfb299401d84ba8a8c24605a63de041931b4b0","source":{"kind":"arxiv","id":"2505.19863","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19863","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19863v1","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19863","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"SW5ZKR3GHTRL","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"SW5ZKR3GHTRLDIUP","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"SW5ZKR3G","created_at":"2026-07-05T11:09:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SW5ZKR3GHTRLDIUPTIXJRX5STF","target":"record","payload":{"canonical_record":{"source":{"id":"2505.19863","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T11:48:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"df1926205479d9aa64bb5274ccf221f35d281b9377b8d528739da3299524d1f6","abstract_canon_sha256":"773694a0d2eec4f8b8d196c72c3316d77102028314f084bc33f03e6abd8de6db"},"schema_version":"1.0"},"canonical_sha256":"95bb9547663ce2b1a28f9a2e98dfb299401d84ba8a8c24605a63de041931b4b0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:49.111608Z","signature_b64":"agca7qbiyvhQE7Ey0QBtFeyIjmgszEB4K02cH4/yLy8h22lfOK6ixbLrJt5Tl9JFu2by6aeVs2bRaziqwkx/DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95bb9547663ce2b1a28f9a2e98dfb299401d84ba8a8c24605a63de041931b4b0","last_reissued_at":"2026-07-05T11:09:49.111122Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:49.111122Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.19863","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":"2026-07-05T11:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9eT2u53eMkT9rH19StUct4YoYCzdo+3bnaWq16dR9sY7s3cNUkBC+Z7Df+LmbXGml1eT39aGbzQ+QyOPhBZHBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T12:41:01.887754Z"},"content_sha256":"d29ff37322556682b7101013ae11ccc1301b11c6bb695e6e7a115e96053b0cbf","schema_version":"1.0","event_id":"sha256:d29ff37322556682b7101013ae11ccc1301b11c6bb695e6e7a115e96053b0cbf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SW5ZKR3GHTRLDIUPTIXJRX5STF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Andrei-Timotei Ardelean, Lukas Meyer, Marc Stamminger, Tim Weyrich","submitted_at":"2025-05-26T11:48:22Z","abstract_excerpt":"We introduce FruitNeRF++, a novel fruit-counting approach that combines contrastive learning with neural radiance fields to count fruits from unstructured input photographs of orchards. Our work is based on FruitNeRF, which employs a neural semantic field combined with a fruit-specific clustering approach. The requirement for adaptation for each fruit type limits the applicability of the method, and makes it difficult to use in practice. To lift this limitation, we design a shape-agnostic multi-fruit counting framework, that complements the RGB and semantic data with instance masks predicted b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19863","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/2505.19863/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":"2026-07-05T11:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NTyhYM4vuCof52lqf41KtqS8IPSy7SxUWUXBWOmqwCVZQYDpzk05gLkIw53S0ljEkgUoe5QfUUOYIdlqC2xaBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T12:41:01.888122Z"},"content_sha256":"ea929ee3e6529df2f8269fbaad0131252e427dab029dfd1566442851d2be1929","schema_version":"1.0","event_id":"sha256:ea929ee3e6529df2f8269fbaad0131252e427dab029dfd1566442851d2be1929"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SW5ZKR3GHTRLDIUPTIXJRX5STF/bundle.json","state_url":"https://pith.science/pith/SW5ZKR3GHTRLDIUPTIXJRX5STF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SW5ZKR3GHTRLDIUPTIXJRX5STF/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":"2026-07-18T12:41:01Z","links":{"resolver":"https://pith.science/pith/SW5ZKR3GHTRLDIUPTIXJRX5STF","bundle":"https://pith.science/pith/SW5ZKR3GHTRLDIUPTIXJRX5STF/bundle.json","state":"https://pith.science/pith/SW5ZKR3GHTRLDIUPTIXJRX5STF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SW5ZKR3GHTRLDIUPTIXJRX5STF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SW5ZKR3GHTRLDIUPTIXJRX5STF","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":"773694a0d2eec4f8b8d196c72c3316d77102028314f084bc33f03e6abd8de6db","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T11:48:22Z","title_canon_sha256":"df1926205479d9aa64bb5274ccf221f35d281b9377b8d528739da3299524d1f6"},"schema_version":"1.0","source":{"id":"2505.19863","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19863","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19863v1","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19863","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"SW5ZKR3GHTRL","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"SW5ZKR3GHTRLDIUP","created_at":"2026-07-05T11:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"SW5ZKR3G","created_at":"2026-07-05T11:09:49Z"}],"graph_snapshots":[{"event_id":"sha256:ea929ee3e6529df2f8269fbaad0131252e427dab029dfd1566442851d2be1929","target":"graph","created_at":"2026-07-05T11:09:49Z","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/2505.19863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce FruitNeRF++, a novel fruit-counting approach that combines contrastive learning with neural radiance fields to count fruits from unstructured input photographs of orchards. Our work is based on FruitNeRF, which employs a neural semantic field combined with a fruit-specific clustering approach. The requirement for adaptation for each fruit type limits the applicability of the method, and makes it difficult to use in practice. To lift this limitation, we design a shape-agnostic multi-fruit counting framework, that complements the RGB and semantic data with instance masks predicted b","authors_text":"Andrei-Timotei Ardelean, Lukas Meyer, Marc Stamminger, Tim Weyrich","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19863","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:d29ff37322556682b7101013ae11ccc1301b11c6bb695e6e7a115e96053b0cbf","target":"record","created_at":"2026-07-05T11:09:49Z","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":"773694a0d2eec4f8b8d196c72c3316d77102028314f084bc33f03e6abd8de6db","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T11:48:22Z","title_canon_sha256":"df1926205479d9aa64bb5274ccf221f35d281b9377b8d528739da3299524d1f6"},"schema_version":"1.0","source":{"id":"2505.19863","kind":"arxiv","version":1}},"canonical_sha256":"95bb9547663ce2b1a28f9a2e98dfb299401d84ba8a8c24605a63de041931b4b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95bb9547663ce2b1a28f9a2e98dfb299401d84ba8a8c24605a63de041931b4b0","first_computed_at":"2026-07-05T11:09:49.111122Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:49.111122Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"agca7qbiyvhQE7Ey0QBtFeyIjmgszEB4K02cH4/yLy8h22lfOK6ixbLrJt5Tl9JFu2by6aeVs2bRaziqwkx/DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:49.111608Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19863","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d29ff37322556682b7101013ae11ccc1301b11c6bb695e6e7a115e96053b0cbf","sha256:ea929ee3e6529df2f8269fbaad0131252e427dab029dfd1566442851d2be1929"],"state_sha256":"738a042aa457d50ba64ed26d08c0a8f54a3dcc0922695e254efc670869b03fbf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jHxlvl7s3DigvJ9eGJRQNB0cUauBpvGEJv6tEMXHKpkP4PR2PLwEUshdCroJoKvnvKZhVLzdJDI8PIoa74P/DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T12:41:01.890149Z","bundle_sha256":"95e6767717f29cd9bf6acce2efb4c6a53f9ebc2bb60b8bc8d17edd0c1ea03698"}}