{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TV2MFECDAHOIZ4YR4WHW23QICI","short_pith_number":"pith:TV2MFECD","canonical_record":{"source":{"id":"2508.18799","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-26T08:34:04Z","cross_cats_sorted":[],"title_canon_sha256":"90b7a56fdf3ef448443c1b632887d96f97244d765bc78c9a3a07f5befcc6cb1a","abstract_canon_sha256":"9bdb78b3c15b624becee86c295cddee19929d4cc5af38fe1b777383b04b6056b"},"schema_version":"1.0"},"canonical_sha256":"9d74c2904301dc8cf311e58f6d6e0812240abccd17349a526d11f4813c726b29","source":{"kind":"arxiv","id":"2508.18799","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.18799","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"arxiv_version","alias_value":"2508.18799v2","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.18799","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_12","alias_value":"TV2MFECDAHOI","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_16","alias_value":"TV2MFECDAHOIZ4YR","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_8","alias_value":"TV2MFECD","created_at":"2026-07-05T12:06:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TV2MFECDAHOIZ4YR4WHW23QICI","target":"record","payload":{"canonical_record":{"source":{"id":"2508.18799","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-26T08:34:04Z","cross_cats_sorted":[],"title_canon_sha256":"90b7a56fdf3ef448443c1b632887d96f97244d765bc78c9a3a07f5befcc6cb1a","abstract_canon_sha256":"9bdb78b3c15b624becee86c295cddee19929d4cc5af38fe1b777383b04b6056b"},"schema_version":"1.0"},"canonical_sha256":"9d74c2904301dc8cf311e58f6d6e0812240abccd17349a526d11f4813c726b29","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:18.767506Z","signature_b64":"Bzr37m9JHIX+p+UsqXbJuYupvR4iOUeMBjWCsbIv2xfTJxCiMLwefHrLTppMsHCotMZUBcZIojqzD41ArPxRBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d74c2904301dc8cf311e58f6d6e0812240abccd17349a526d11f4813c726b29","last_reissued_at":"2026-07-05T12:06:18.766999Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:18.766999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.18799","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:06:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xw3axyKGhCO0NdW944pUDzeuvQzNrCD6Zvl+ZqlvlWnE1wqHX4bG64uYbLWpsNUzdmaVx1fQCW1i3UxfoYnfCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:23:58.312923Z"},"content_sha256":"8726a8bf410a2ba2d864c512cccda901c51781c38e4ec591688affaa2242c5ac","schema_version":"1.0","event_id":"sha256:8726a8bf410a2ba2d864c512cccda901c51781c38e4ec591688affaa2242c5ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TV2MFECDAHOIZ4YR4WHW23QICI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust and Label-Efficient Deep Waste Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hassan Abid, Khan Muhammad, Muhammad Haris Khan","submitted_at":"2025-08-26T08:34:04Z","abstract_excerpt":"Effective waste sorting is critical for sustainable recycling, yet AI research in this domain continues to lag behind commercial systems due to limited datasets and reliance on legacy object detectors. In this work, we advance AI-driven waste detection by establishing strong baselines and introducing an ensemble-based semi-supervised learning framework. We first benchmark state-of-the-art Open-Vocabulary Object Detection (OVOD) models on the real-world ZeroWaste dataset, demonstrating that while class-only prompts perform poorly, LLM-optimized prompts significantly enhance zero-shot accuracy. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.18799","kind":"arxiv","version":2},"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/2508.18799/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":"2026-07-05T12:06:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yCcaE6IMl/jYKb71i9V0/NlhuK7uF/7oF4WQDtOEHkgFA+9sV99KnNVFkKdl5+jan2uVbRDEFcILAR1SAV1aCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:23:58.313503Z"},"content_sha256":"81b69dd2a88f7e4996012d4deb2161d2d9656236ac9e24bab61a2d05c43256f6","schema_version":"1.0","event_id":"sha256:81b69dd2a88f7e4996012d4deb2161d2d9656236ac9e24bab61a2d05c43256f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TV2MFECDAHOIZ4YR4WHW23QICI/bundle.json","state_url":"https://pith.science/pith/TV2MFECDAHOIZ4YR4WHW23QICI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TV2MFECDAHOIZ4YR4WHW23QICI/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":"2026-08-06T05:23:58Z","links":{"resolver":"https://pith.science/pith/TV2MFECDAHOIZ4YR4WHW23QICI","bundle":"https://pith.science/pith/TV2MFECDAHOIZ4YR4WHW23QICI/bundle.json","state":"https://pith.science/pith/TV2MFECDAHOIZ4YR4WHW23QICI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TV2MFECDAHOIZ4YR4WHW23QICI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TV2MFECDAHOIZ4YR4WHW23QICI","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":"9bdb78b3c15b624becee86c295cddee19929d4cc5af38fe1b777383b04b6056b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-26T08:34:04Z","title_canon_sha256":"90b7a56fdf3ef448443c1b632887d96f97244d765bc78c9a3a07f5befcc6cb1a"},"schema_version":"1.0","source":{"id":"2508.18799","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.18799","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"arxiv_version","alias_value":"2508.18799v2","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.18799","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_12","alias_value":"TV2MFECDAHOI","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_16","alias_value":"TV2MFECDAHOIZ4YR","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_8","alias_value":"TV2MFECD","created_at":"2026-07-05T12:06:18Z"}],"graph_snapshots":[{"event_id":"sha256:81b69dd2a88f7e4996012d4deb2161d2d9656236ac9e24bab61a2d05c43256f6","target":"graph","created_at":"2026-07-05T12:06:18Z","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/2508.18799/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Effective waste sorting is critical for sustainable recycling, yet AI research in this domain continues to lag behind commercial systems due to limited datasets and reliance on legacy object detectors. In this work, we advance AI-driven waste detection by establishing strong baselines and introducing an ensemble-based semi-supervised learning framework. We first benchmark state-of-the-art Open-Vocabulary Object Detection (OVOD) models on the real-world ZeroWaste dataset, demonstrating that while class-only prompts perform poorly, LLM-optimized prompts significantly enhance zero-shot accuracy. ","authors_text":"Hassan Abid, Khan Muhammad, Muhammad Haris Khan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-26T08:34:04Z","title":"Robust and Label-Efficient Deep Waste Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.18799","kind":"arxiv","version":2},"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":"sha256:8726a8bf410a2ba2d864c512cccda901c51781c38e4ec591688affaa2242c5ac","target":"record","created_at":"2026-07-05T12:06:18Z","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":"9bdb78b3c15b624becee86c295cddee19929d4cc5af38fe1b777383b04b6056b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-26T08:34:04Z","title_canon_sha256":"90b7a56fdf3ef448443c1b632887d96f97244d765bc78c9a3a07f5befcc6cb1a"},"schema_version":"1.0","source":{"id":"2508.18799","kind":"arxiv","version":2}},"canonical_sha256":"9d74c2904301dc8cf311e58f6d6e0812240abccd17349a526d11f4813c726b29","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d74c2904301dc8cf311e58f6d6e0812240abccd17349a526d11f4813c726b29","first_computed_at":"2026-07-05T12:06:18.766999Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:18.766999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bzr37m9JHIX+p+UsqXbJuYupvR4iOUeMBjWCsbIv2xfTJxCiMLwefHrLTppMsHCotMZUBcZIojqzD41ArPxRBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:18.767506Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.18799","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8726a8bf410a2ba2d864c512cccda901c51781c38e4ec591688affaa2242c5ac","sha256:81b69dd2a88f7e4996012d4deb2161d2d9656236ac9e24bab61a2d05c43256f6"],"state_sha256":"ad61a0ae550147626f25aa7b895fd4d9cad52adc4ff815511942d94c9a9a43cb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v+ij8pwHQ2jy5oL9ommxZVkML7mjgV7qsvbQtE5mZDZN2Z+qjpLzHpaKHa1+nbn/BQhWUcSx3FWh0p+pFDqLCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T05:23:58.318471Z","bundle_sha256":"5db068e7c69ea91133c9d65d24c90a04006fb6187c92bd2e07a3dbc098337b19"}}