{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OY345KSMTSFX6WRUUC3I55NY42","short_pith_number":"pith:OY345KSM","canonical_record":{"source":{"id":"2505.00980","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T04:00:03Z","cross_cats_sorted":[],"title_canon_sha256":"9cdf63e0ddf33dad6b96fac492379901c5200616fd1174c75f43ad0f177241ee","abstract_canon_sha256":"a8b940dcd3970fce6410ea778573acf90877a61948ce12ce411f34b163337564"},"schema_version":"1.0"},"canonical_sha256":"7637ceaa4c9c8b7f5a34a0b68ef5b8e69b3c02439f5ec58fd821addf2847e382","source":{"kind":"arxiv","id":"2505.00980","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00980","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00980v1","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00980","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_12","alias_value":"OY345KSMTSFX","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_16","alias_value":"OY345KSMTSFX6WRU","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_8","alias_value":"OY345KSM","created_at":"2026-07-05T10:57:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OY345KSMTSFX6WRUUC3I55NY42","target":"record","payload":{"canonical_record":{"source":{"id":"2505.00980","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T04:00:03Z","cross_cats_sorted":[],"title_canon_sha256":"9cdf63e0ddf33dad6b96fac492379901c5200616fd1174c75f43ad0f177241ee","abstract_canon_sha256":"a8b940dcd3970fce6410ea778573acf90877a61948ce12ce411f34b163337564"},"schema_version":"1.0"},"canonical_sha256":"7637ceaa4c9c8b7f5a34a0b68ef5b8e69b3c02439f5ec58fd821addf2847e382","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:57:42.904103Z","signature_b64":"xA8OkwPJbHMpHHAkME6xllI5ZdhKuH4BnFG7sYJhkA/rlExDg1GjAdIW9HNYD61bv15zc8mTC8/XaNuKHi8zDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7637ceaa4c9c8b7f5a34a0b68ef5b8e69b3c02439f5ec58fd821addf2847e382","last_reissued_at":"2026-07-05T10:57:42.903548Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:57:42.903548Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.00980","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":"2026-07-05T10:57:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CTvmEe2Meo/2yOnHhOrmShjoBp6X4ObpAZtgdL4asa/VNzeW7INLF7HlTQ+2K5dC/ihKWioVg1rPdOFQTVehBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T00:53:48.410246Z"},"content_sha256":"ac0ad92f07610a187006eccbaed3365a252c8393a7d5fb03254a68b911524646","schema_version":"1.0","event_id":"sha256:ac0ad92f07610a187006eccbaed3365a252c8393a7d5fb03254a68b911524646"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OY345KSMTSFX6WRUUC3I55NY42","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiahuan Long, Xin Zhou","submitted_at":"2025-05-02T04:00:03Z","abstract_excerpt":"Monocular depth estimation provides an additional depth dimension to RGB images, making it widely applicable in various fields such as virtual reality, autonomous driving and robotic navigation. However, existing depth estimation algorithms often struggle to effectively balance performance and computational efficiency, which poses challenges for deployment on resource-constrained devices. To address this, we propose LMDepth, a lightweight Mamba-based monocular depth estimation network, designed to reconstruct high-precision depth information while maintaining low computational overhead. Specif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00980","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/2505.00980/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":"2026-07-05T10:57:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uvk0Ub+3tXjn9cLx4qjMRpsW3JVj0epp1LYlsJaPosiF5fhXMRp5O7b8bB/ANP1u44ROeFHMORbk7kXmdl8sDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T00:53:48.410742Z"},"content_sha256":"c2644b4e488c9578fda1900c89e6f1fa6101af54671acb7480424a8d108974af","schema_version":"1.0","event_id":"sha256:c2644b4e488c9578fda1900c89e6f1fa6101af54671acb7480424a8d108974af"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OY345KSMTSFX6WRUUC3I55NY42/bundle.json","state_url":"https://pith.science/pith/OY345KSMTSFX6WRUUC3I55NY42/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OY345KSMTSFX6WRUUC3I55NY42/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":"2026-08-03T00:53:48Z","links":{"resolver":"https://pith.science/pith/OY345KSMTSFX6WRUUC3I55NY42","bundle":"https://pith.science/pith/OY345KSMTSFX6WRUUC3I55NY42/bundle.json","state":"https://pith.science/pith/OY345KSMTSFX6WRUUC3I55NY42/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OY345KSMTSFX6WRUUC3I55NY42/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OY345KSMTSFX6WRUUC3I55NY42","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":"a8b940dcd3970fce6410ea778573acf90877a61948ce12ce411f34b163337564","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T04:00:03Z","title_canon_sha256":"9cdf63e0ddf33dad6b96fac492379901c5200616fd1174c75f43ad0f177241ee"},"schema_version":"1.0","source":{"id":"2505.00980","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00980","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00980v1","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00980","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_12","alias_value":"OY345KSMTSFX","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_16","alias_value":"OY345KSMTSFX6WRU","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_8","alias_value":"OY345KSM","created_at":"2026-07-05T10:57:42Z"}],"graph_snapshots":[{"event_id":"sha256:c2644b4e488c9578fda1900c89e6f1fa6101af54671acb7480424a8d108974af","target":"graph","created_at":"2026-07-05T10:57:42Z","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/2505.00980/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Monocular depth estimation provides an additional depth dimension to RGB images, making it widely applicable in various fields such as virtual reality, autonomous driving and robotic navigation. However, existing depth estimation algorithms often struggle to effectively balance performance and computational efficiency, which poses challenges for deployment on resource-constrained devices. To address this, we propose LMDepth, a lightweight Mamba-based monocular depth estimation network, designed to reconstruct high-precision depth information while maintaining low computational overhead. Specif","authors_text":"Jiahuan Long, Xin Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T04:00:03Z","title":"LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00980","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:ac0ad92f07610a187006eccbaed3365a252c8393a7d5fb03254a68b911524646","target":"record","created_at":"2026-07-05T10:57:42Z","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":"a8b940dcd3970fce6410ea778573acf90877a61948ce12ce411f34b163337564","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T04:00:03Z","title_canon_sha256":"9cdf63e0ddf33dad6b96fac492379901c5200616fd1174c75f43ad0f177241ee"},"schema_version":"1.0","source":{"id":"2505.00980","kind":"arxiv","version":1}},"canonical_sha256":"7637ceaa4c9c8b7f5a34a0b68ef5b8e69b3c02439f5ec58fd821addf2847e382","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7637ceaa4c9c8b7f5a34a0b68ef5b8e69b3c02439f5ec58fd821addf2847e382","first_computed_at":"2026-07-05T10:57:42.903548Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:42.903548Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xA8OkwPJbHMpHHAkME6xllI5ZdhKuH4BnFG7sYJhkA/rlExDg1GjAdIW9HNYD61bv15zc8mTC8/XaNuKHi8zDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:42.904103Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.00980","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac0ad92f07610a187006eccbaed3365a252c8393a7d5fb03254a68b911524646","sha256:c2644b4e488c9578fda1900c89e6f1fa6101af54671acb7480424a8d108974af"],"state_sha256":"00d8c19b7537e7d0d399173d42377cc86cde8ee68893a4bddad103dd5aa4fba9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MqhAiZud4yIOCcLP1XbDBtW9PuK9LZ+ohdx46uRyKFhf6YnSY6IwttyH30cagXbmVsG66M87h/nnV+pUSKCkAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T00:53:48.414163Z","bundle_sha256":"ac63938e08d3658101d3fc6d171e3db8a8dd597ac6273d0465d2970b43d644c1"}}