{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:2ZYG3BDSCR7665VQ3XVHZXSWAX","short_pith_number":"pith:2ZYG3BDS","canonical_record":{"source":{"id":"1602.07383","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-24T03:35:42Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"658bb9d735c55e39447d8690e9116b759c15b474ebaf8aa80e9afbaaa2b1c909","abstract_canon_sha256":"a42205a6e65cde931a08b0a764bc921563fa29f2242093cd0f823c144a3ae8bf"},"schema_version":"1.0"},"canonical_sha256":"d6706d8472147fef76b0ddea7cde5605d3dff86e5cf3be00874560327bc3f0e0","source":{"kind":"arxiv","id":"1602.07383","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.07383","created_at":"2026-05-18T01:20:05Z"},{"alias_kind":"arxiv_version","alias_value":"1602.07383v1","created_at":"2026-05-18T01:20:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.07383","created_at":"2026-05-18T01:20:05Z"},{"alias_kind":"pith_short_12","alias_value":"2ZYG3BDSCR76","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"2ZYG3BDSCR7665VQ","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"2ZYG3BDS","created_at":"2026-05-18T12:29:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:2ZYG3BDSCR7665VQ3XVHZXSWAX","target":"record","payload":{"canonical_record":{"source":{"id":"1602.07383","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-24T03:35:42Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"658bb9d735c55e39447d8690e9116b759c15b474ebaf8aa80e9afbaaa2b1c909","abstract_canon_sha256":"a42205a6e65cde931a08b0a764bc921563fa29f2242093cd0f823c144a3ae8bf"},"schema_version":"1.0"},"canonical_sha256":"d6706d8472147fef76b0ddea7cde5605d3dff86e5cf3be00874560327bc3f0e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:20:05.819156Z","signature_b64":"gq2Oa3tDqkMTtfexI+VyBhGeUP0XVXcCPNUaud5FJTHvk2soT6QAQayA0h3TYwFDR0FM9DeMdlTLzqmGUx5pAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6706d8472147fef76b0ddea7cde5605d3dff86e5cf3be00874560327bc3f0e0","last_reissued_at":"2026-05-18T01:20:05.818489Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:20:05.818489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.07383","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":"2026-05-18T01:20:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TLFXE3kyCPmfvE9VVmJtEtnCkI/x4KOtJykqlrfzbWYkJ2XRolDcqkAMhj2VrhxTvC5lezdoRhyTleAc2ptxDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T00:36:01.425455Z"},"content_sha256":"0759d832377a8eb8ac416f62433ce240534e3966be7697ae8e85db4d4de51b90","schema_version":"1.0","event_id":"sha256:0759d832377a8eb8ac416f62433ce240534e3966be7697ae8e85db4d4de51b90"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:2ZYG3BDSCR7665VQ3XVHZXSWAX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Moth Detection from Trap Images for Pest Management","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.CV","authors_text":"Graham Taylor, Weiguang Ding","submitted_at":"2016-02-24T03:35:42Z","abstract_excerpt":"Monitoring the number of insect pests is a crucial component in pheromone-based pest management systems. In this paper, we propose an automatic detection pipeline based on deep learning for identifying and counting pests in images taken inside field traps. Applied to a commercial codling moth dataset, our method shows promising performance both qualitatively and quantitatively. Compared to previous attempts at pest detection, our approach uses no pest-specific engineering which enables it to adapt to other species and environments with minimal human effort. It is amenable to implementation on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.07383","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":""},"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":"2026-05-18T01:20:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nm92xt4jFia0tv7xzA8fc07zs73IIH0CCZKZIVel0amP+RnfNUI4csZrZ+DpdhHVcRmba0jm89v5Z9muBzEcBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T00:36:01.426131Z"},"content_sha256":"581e8a2a3e42e3075e4d1aa4b46e9d4d115366ffc867deb3df022fe7ac0423f2","schema_version":"1.0","event_id":"sha256:581e8a2a3e42e3075e4d1aa4b46e9d4d115366ffc867deb3df022fe7ac0423f2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2ZYG3BDSCR7665VQ3XVHZXSWAX/bundle.json","state_url":"https://pith.science/pith/2ZYG3BDSCR7665VQ3XVHZXSWAX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2ZYG3BDSCR7665VQ3XVHZXSWAX/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":"2026-05-27T00:36:01Z","links":{"resolver":"https://pith.science/pith/2ZYG3BDSCR7665VQ3XVHZXSWAX","bundle":"https://pith.science/pith/2ZYG3BDSCR7665VQ3XVHZXSWAX/bundle.json","state":"https://pith.science/pith/2ZYG3BDSCR7665VQ3XVHZXSWAX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2ZYG3BDSCR7665VQ3XVHZXSWAX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:2ZYG3BDSCR7665VQ3XVHZXSWAX","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":"a42205a6e65cde931a08b0a764bc921563fa29f2242093cd0f823c144a3ae8bf","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-24T03:35:42Z","title_canon_sha256":"658bb9d735c55e39447d8690e9116b759c15b474ebaf8aa80e9afbaaa2b1c909"},"schema_version":"1.0","source":{"id":"1602.07383","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.07383","created_at":"2026-05-18T01:20:05Z"},{"alias_kind":"arxiv_version","alias_value":"1602.07383v1","created_at":"2026-05-18T01:20:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.07383","created_at":"2026-05-18T01:20:05Z"},{"alias_kind":"pith_short_12","alias_value":"2ZYG3BDSCR76","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"2ZYG3BDSCR7665VQ","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"2ZYG3BDS","created_at":"2026-05-18T12:29:55Z"}],"graph_snapshots":[{"event_id":"sha256:581e8a2a3e42e3075e4d1aa4b46e9d4d115366ffc867deb3df022fe7ac0423f2","target":"graph","created_at":"2026-05-18T01:20:05Z","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"},"paper":{"abstract_excerpt":"Monitoring the number of insect pests is a crucial component in pheromone-based pest management systems. In this paper, we propose an automatic detection pipeline based on deep learning for identifying and counting pests in images taken inside field traps. Applied to a commercial codling moth dataset, our method shows promising performance both qualitatively and quantitatively. Compared to previous attempts at pest detection, our approach uses no pest-specific engineering which enables it to adapt to other species and environments with minimal human effort. It is amenable to implementation on ","authors_text":"Graham Taylor, Weiguang Ding","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-24T03:35:42Z","title":"Automatic Moth Detection from Trap Images for Pest Management"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.07383","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":"sha256:0759d832377a8eb8ac416f62433ce240534e3966be7697ae8e85db4d4de51b90","target":"record","created_at":"2026-05-18T01:20:05Z","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":"a42205a6e65cde931a08b0a764bc921563fa29f2242093cd0f823c144a3ae8bf","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-24T03:35:42Z","title_canon_sha256":"658bb9d735c55e39447d8690e9116b759c15b474ebaf8aa80e9afbaaa2b1c909"},"schema_version":"1.0","source":{"id":"1602.07383","kind":"arxiv","version":1}},"canonical_sha256":"d6706d8472147fef76b0ddea7cde5605d3dff86e5cf3be00874560327bc3f0e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6706d8472147fef76b0ddea7cde5605d3dff86e5cf3be00874560327bc3f0e0","first_computed_at":"2026-05-18T01:20:05.818489Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:20:05.818489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gq2Oa3tDqkMTtfexI+VyBhGeUP0XVXcCPNUaud5FJTHvk2soT6QAQayA0h3TYwFDR0FM9DeMdlTLzqmGUx5pAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:20:05.819156Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.07383","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0759d832377a8eb8ac416f62433ce240534e3966be7697ae8e85db4d4de51b90","sha256:581e8a2a3e42e3075e4d1aa4b46e9d4d115366ffc867deb3df022fe7ac0423f2"],"state_sha256":"0daee3ba2e9f125ad82f38091a4e778d88420db785c411d72c1d13f2a46fca07"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uj3hQuCF/lnFShRDQxdD4R4nLeXXwoj6Ie30ZS4JxEvJx6GZ9OZcINbzWa06TzbivZlbfVy6d44x0OwJFAG9Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T00:36:01.429825Z","bundle_sha256":"9552219af6a17400a83be8c4dc3d7a20217ccd5e185fd893ed59763de341ffb5"}}