{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XACXCTWDSHK4FSNYSGZRRPTYWI","short_pith_number":"pith:XACXCTWD","canonical_record":{"source":{"id":"2409.11542","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-17T20:30:35Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7d423973295c8b666f9b014b4dd1af9d92ee68ee3c7fecd51d2a7ffc9b65e178","abstract_canon_sha256":"3d8d2f7458b84a70fa4f7ed79c8d718e19e1e8947df29bc7b526e99084be168c"},"schema_version":"1.0"},"canonical_sha256":"b805714ec391d5c2c9b891b318be78b2239d1a009a4e860b7e0726bcad0aae96","source":{"kind":"arxiv","id":"2409.11542","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.11542","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"arxiv_version","alias_value":"2409.11542v1","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.11542","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"pith_short_12","alias_value":"XACXCTWDSHK4","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"pith_short_16","alias_value":"XACXCTWDSHK4FSNY","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"pith_short_8","alias_value":"XACXCTWD","created_at":"2026-07-05T09:08:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XACXCTWDSHK4FSNYSGZRRPTYWI","target":"record","payload":{"canonical_record":{"source":{"id":"2409.11542","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-17T20:30:35Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7d423973295c8b666f9b014b4dd1af9d92ee68ee3c7fecd51d2a7ffc9b65e178","abstract_canon_sha256":"3d8d2f7458b84a70fa4f7ed79c8d718e19e1e8947df29bc7b526e99084be168c"},"schema_version":"1.0"},"canonical_sha256":"b805714ec391d5c2c9b891b318be78b2239d1a009a4e860b7e0726bcad0aae96","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:08:33.274190Z","signature_b64":"FEIBw+qh912OYJulZ6faAREq4p1m7sUrrvF9L/U4e45hIJJR5MJSgulH9LsFQO8okP5guYzkea/zMZDa4BZUBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b805714ec391d5c2c9b891b318be78b2239d1a009a4e860b7e0726bcad0aae96","last_reissued_at":"2026-07-05T09:08:33.273623Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:08:33.273623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.11542","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":"2026-07-05T09:08:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7kwk4V0IiQ7aQWqbsJv86FdfMA+C2eG5Da58dDHHbgzS0rmZffqj4BdEz2oAnfTBrvEw27NjPVCMz3Q1wU+kAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:59:45.577793Z"},"content_sha256":"ff8ac2cdda8b07eb97f2f0badeb9e5bce7f1df7046b643c33fc25882de348a70","schema_version":"1.0","event_id":"sha256:ff8ac2cdda8b07eb97f2f0badeb9e5bce7f1df7046b643c33fc25882de348a70"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XACXCTWDSHK4FSNYSGZRRPTYWI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Ahmet Soyyigit, Heechul Yun, Shuochao Yao","submitted_at":"2024-09-17T20:30:35Z","abstract_excerpt":"This work addresses the challenge of adapting dynamic deadline requirements for LiDAR object detection deep neural networks (DNNs). The computing latency of object detection is critically important to ensure safe and efficient navigation. However, state-of-the-art LiDAR object detection DNNs often exhibit significant latency, hindering their real-time performance on resource-constrained edge platforms. Therefore, a tradeoff between detection accuracy and latency should be dynamically managed at runtime to achieve optimum results.\n  In this paper, we introduce VALO (Versatile Anytime algorithm "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.11542","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/2409.11542/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":"2026-07-05T09:08:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"woCU0ce1RUSpKwrDYISbZfe6mZ9ZPy+e0OkrK+hVPNFIXbsQeVfMAdsfYt+NXdBfTk4DF2471MclpF94BvkUBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:59:45.578160Z"},"content_sha256":"2f4ab652426ca94b3e96d10b653649bb00900a78343d54507f440802541e4e81","schema_version":"1.0","event_id":"sha256:2f4ab652426ca94b3e96d10b653649bb00900a78343d54507f440802541e4e81"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XACXCTWDSHK4FSNYSGZRRPTYWI/bundle.json","state_url":"https://pith.science/pith/XACXCTWDSHK4FSNYSGZRRPTYWI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XACXCTWDSHK4FSNYSGZRRPTYWI/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":"2026-07-06T16:59:45Z","links":{"resolver":"https://pith.science/pith/XACXCTWDSHK4FSNYSGZRRPTYWI","bundle":"https://pith.science/pith/XACXCTWDSHK4FSNYSGZRRPTYWI/bundle.json","state":"https://pith.science/pith/XACXCTWDSHK4FSNYSGZRRPTYWI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XACXCTWDSHK4FSNYSGZRRPTYWI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XACXCTWDSHK4FSNYSGZRRPTYWI","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":"3d8d2f7458b84a70fa4f7ed79c8d718e19e1e8947df29bc7b526e99084be168c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-17T20:30:35Z","title_canon_sha256":"7d423973295c8b666f9b014b4dd1af9d92ee68ee3c7fecd51d2a7ffc9b65e178"},"schema_version":"1.0","source":{"id":"2409.11542","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.11542","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"arxiv_version","alias_value":"2409.11542v1","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.11542","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"pith_short_12","alias_value":"XACXCTWDSHK4","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"pith_short_16","alias_value":"XACXCTWDSHK4FSNY","created_at":"2026-07-05T09:08:33Z"},{"alias_kind":"pith_short_8","alias_value":"XACXCTWD","created_at":"2026-07-05T09:08:33Z"}],"graph_snapshots":[{"event_id":"sha256:2f4ab652426ca94b3e96d10b653649bb00900a78343d54507f440802541e4e81","target":"graph","created_at":"2026-07-05T09:08:33Z","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/2409.11542/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work addresses the challenge of adapting dynamic deadline requirements for LiDAR object detection deep neural networks (DNNs). The computing latency of object detection is critically important to ensure safe and efficient navigation. However, state-of-the-art LiDAR object detection DNNs often exhibit significant latency, hindering their real-time performance on resource-constrained edge platforms. Therefore, a tradeoff between detection accuracy and latency should be dynamically managed at runtime to achieve optimum results.\n  In this paper, we introduce VALO (Versatile Anytime algorithm ","authors_text":"Ahmet Soyyigit, Heechul Yun, Shuochao Yao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-17T20:30:35Z","title":"VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.11542","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:ff8ac2cdda8b07eb97f2f0badeb9e5bce7f1df7046b643c33fc25882de348a70","target":"record","created_at":"2026-07-05T09:08:33Z","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":"3d8d2f7458b84a70fa4f7ed79c8d718e19e1e8947df29bc7b526e99084be168c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-17T20:30:35Z","title_canon_sha256":"7d423973295c8b666f9b014b4dd1af9d92ee68ee3c7fecd51d2a7ffc9b65e178"},"schema_version":"1.0","source":{"id":"2409.11542","kind":"arxiv","version":1}},"canonical_sha256":"b805714ec391d5c2c9b891b318be78b2239d1a009a4e860b7e0726bcad0aae96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b805714ec391d5c2c9b891b318be78b2239d1a009a4e860b7e0726bcad0aae96","first_computed_at":"2026-07-05T09:08:33.273623Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:08:33.273623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FEIBw+qh912OYJulZ6faAREq4p1m7sUrrvF9L/U4e45hIJJR5MJSgulH9LsFQO8okP5guYzkea/zMZDa4BZUBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:08:33.274190Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.11542","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff8ac2cdda8b07eb97f2f0badeb9e5bce7f1df7046b643c33fc25882de348a70","sha256:2f4ab652426ca94b3e96d10b653649bb00900a78343d54507f440802541e4e81"],"state_sha256":"ccf76594cd6e668f5051a66cbe99b90f1223c411ee3b11fa93ff80246c4ac203"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mAp6ImyewujXhjzoNhRT3mkm2fdkQuMmV/AGjHZQHBGBSlXjptkSiZ6mH6XAytfa4nrzc8uczGI9kaGBBP92CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:59:45.580001Z","bundle_sha256":"3a1478f583abdb703e027d08033e3d1bc29e959bfa127858ef124530a89d3221"}}