{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ICB2QMZ47NKJ47REMWHBZAT3MX","short_pith_number":"pith:ICB2QMZ4","canonical_record":{"source":{"id":"2312.04168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T09:37:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0b35b6a63354af7ffae357ea1dd4a6ac3bf71f0ea05430119ddb52f6eb3ec651","abstract_canon_sha256":"8375dfa3773bb5063c9bfe7fecf917b2a8adb6a2820b45e28bb828492b13a4ac"},"schema_version":"1.0"},"canonical_sha256":"4083a8333cfb549e7e24658e1c827b65e34549750f8116cd2e500e2ac29cfe0b","source":{"kind":"arxiv","id":"2312.04168","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.04168","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"arxiv_version","alias_value":"2312.04168v1","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.04168","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"pith_short_12","alias_value":"ICB2QMZ47NKJ","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"pith_short_16","alias_value":"ICB2QMZ47NKJ47RE","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"pith_short_8","alias_value":"ICB2QMZ4","created_at":"2026-07-05T07:21:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ICB2QMZ47NKJ47REMWHBZAT3MX","target":"record","payload":{"canonical_record":{"source":{"id":"2312.04168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T09:37:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0b35b6a63354af7ffae357ea1dd4a6ac3bf71f0ea05430119ddb52f6eb3ec651","abstract_canon_sha256":"8375dfa3773bb5063c9bfe7fecf917b2a8adb6a2820b45e28bb828492b13a4ac"},"schema_version":"1.0"},"canonical_sha256":"4083a8333cfb549e7e24658e1c827b65e34549750f8116cd2e500e2ac29cfe0b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:21:30.601797Z","signature_b64":"BTUKmos26XPZl45tZx8rskPEnfAMIcseXhdxwEnqPWJbl8HJXhpX/prrtP7BEOUdUt4re7wFDJ+es4/exl4qBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4083a8333cfb549e7e24658e1c827b65e34549750f8116cd2e500e2ac29cfe0b","last_reissued_at":"2026-07-05T07:21:30.601286Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:21:30.601286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.04168","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":"2026-07-05T07:21:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W3rnaMgW0nBw7Nn+L+H68sd8WPG3zOOoCmz2AAeWAx86KdBqaqA3qZJx6ZrsiPpbu0ABVp1XJrU52H3bz5cVBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:21:02.905009Z"},"content_sha256":"a4a13a28382f71b4fcbe2d8d819f3549e1bbcbfdf877f221b161bcc3da407f47","schema_version":"1.0","event_id":"sha256:a4a13a28382f71b4fcbe2d8d819f3549e1bbcbfdf877f221b161bcc3da407f47"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ICB2QMZ47NKJ47REMWHBZAT3MX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Anbang Yao, Chao Li, Jiawei Fan, Meina Song, Xiaolong Liu","submitted_at":"2023-12-07T09:37:28Z","abstract_excerpt":"In recent years, knowledge distillation methods based on contrastive learning have achieved promising results on image classification and object detection tasks. However, in this line of research, we note that less attention is paid to semantic segmentation. Existing methods heavily rely on data augmentation and memory buffer, which entail high computational resource demands when applying them to handle semantic segmentation that requires to preserve high-resolution feature maps for making dense pixel-wise predictions. In order to address this problem, we present Augmentation-free Dense Contra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.04168","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/2312.04168/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":"2026-07-05T07:21:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"91fclLqzgiWhTuMvKmbWg3tKVZnd/pbYt/Thf9xjgox41fsegfK32SNjyTrFu+0nFVtMyPaqSWhRZc8BBAszAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:21:02.905405Z"},"content_sha256":"78fe9159945548356091b3483a3244731ce74fd721fda749cea52e062262323a","schema_version":"1.0","event_id":"sha256:78fe9159945548356091b3483a3244731ce74fd721fda749cea52e062262323a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ICB2QMZ47NKJ47REMWHBZAT3MX/bundle.json","state_url":"https://pith.science/pith/ICB2QMZ47NKJ47REMWHBZAT3MX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ICB2QMZ47NKJ47REMWHBZAT3MX/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":"2026-07-06T23:21:02Z","links":{"resolver":"https://pith.science/pith/ICB2QMZ47NKJ47REMWHBZAT3MX","bundle":"https://pith.science/pith/ICB2QMZ47NKJ47REMWHBZAT3MX/bundle.json","state":"https://pith.science/pith/ICB2QMZ47NKJ47REMWHBZAT3MX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ICB2QMZ47NKJ47REMWHBZAT3MX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ICB2QMZ47NKJ47REMWHBZAT3MX","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":"8375dfa3773bb5063c9bfe7fecf917b2a8adb6a2820b45e28bb828492b13a4ac","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T09:37:28Z","title_canon_sha256":"0b35b6a63354af7ffae357ea1dd4a6ac3bf71f0ea05430119ddb52f6eb3ec651"},"schema_version":"1.0","source":{"id":"2312.04168","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.04168","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"arxiv_version","alias_value":"2312.04168v1","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.04168","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"pith_short_12","alias_value":"ICB2QMZ47NKJ","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"pith_short_16","alias_value":"ICB2QMZ47NKJ47RE","created_at":"2026-07-05T07:21:30Z"},{"alias_kind":"pith_short_8","alias_value":"ICB2QMZ4","created_at":"2026-07-05T07:21:30Z"}],"graph_snapshots":[{"event_id":"sha256:78fe9159945548356091b3483a3244731ce74fd721fda749cea52e062262323a","target":"graph","created_at":"2026-07-05T07:21:30Z","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/2312.04168/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, knowledge distillation methods based on contrastive learning have achieved promising results on image classification and object detection tasks. However, in this line of research, we note that less attention is paid to semantic segmentation. Existing methods heavily rely on data augmentation and memory buffer, which entail high computational resource demands when applying them to handle semantic segmentation that requires to preserve high-resolution feature maps for making dense pixel-wise predictions. In order to address this problem, we present Augmentation-free Dense Contra","authors_text":"Anbang Yao, Chao Li, Jiawei Fan, Meina Song, Xiaolong Liu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T09:37:28Z","title":"Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.04168","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:a4a13a28382f71b4fcbe2d8d819f3549e1bbcbfdf877f221b161bcc3da407f47","target":"record","created_at":"2026-07-05T07:21:30Z","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":"8375dfa3773bb5063c9bfe7fecf917b2a8adb6a2820b45e28bb828492b13a4ac","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T09:37:28Z","title_canon_sha256":"0b35b6a63354af7ffae357ea1dd4a6ac3bf71f0ea05430119ddb52f6eb3ec651"},"schema_version":"1.0","source":{"id":"2312.04168","kind":"arxiv","version":1}},"canonical_sha256":"4083a8333cfb549e7e24658e1c827b65e34549750f8116cd2e500e2ac29cfe0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4083a8333cfb549e7e24658e1c827b65e34549750f8116cd2e500e2ac29cfe0b","first_computed_at":"2026-07-05T07:21:30.601286Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:21:30.601286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BTUKmos26XPZl45tZx8rskPEnfAMIcseXhdxwEnqPWJbl8HJXhpX/prrtP7BEOUdUt4re7wFDJ+es4/exl4qBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:21:30.601797Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.04168","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4a13a28382f71b4fcbe2d8d819f3549e1bbcbfdf877f221b161bcc3da407f47","sha256:78fe9159945548356091b3483a3244731ce74fd721fda749cea52e062262323a"],"state_sha256":"dbd5798ca34b6f388ce3575dde1c7ebe7dabe695ecb3d2c54587a869f16a6e01"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4wH97buN0Db6AkRq7wBdXvV4F4XMm7EB4h4LpamfPl4mke9NQklH1k0Lp53U8vIgK1RyoL5hLyR20C3CLP3aBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:21:02.907387Z","bundle_sha256":"1c821ad9a33853042d2576a8325d5da172c6a2760446b755352eb2dfbb5b8017"}}