{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FFLSDI2G5F5S5VNKEXHMVT4WAI","short_pith_number":"pith:FFLSDI2G","canonical_record":{"source":{"id":"2303.09230","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T11:09:22Z","cross_cats_sorted":[],"title_canon_sha256":"750dc862d72506e118a099329d5ab5d8cd6043c7f00d6e5f6b5a399945c77cbd","abstract_canon_sha256":"bfba09ff48e42c44ca558b33643653d8a13545631dfff576da24a45f5b402bb8"},"schema_version":"1.0"},"canonical_sha256":"295721a346e97b2ed5aa25cecacf96020204ed4317f4603c0e17f12ead3fbb6e","source":{"kind":"arxiv","id":"2303.09230","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.09230","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"arxiv_version","alias_value":"2303.09230v2","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.09230","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"pith_short_12","alias_value":"FFLSDI2G5F5S","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"pith_short_16","alias_value":"FFLSDI2G5F5S5VNK","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"pith_short_8","alias_value":"FFLSDI2G","created_at":"2026-07-05T06:57:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FFLSDI2G5F5S5VNKEXHMVT4WAI","target":"record","payload":{"canonical_record":{"source":{"id":"2303.09230","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T11:09:22Z","cross_cats_sorted":[],"title_canon_sha256":"750dc862d72506e118a099329d5ab5d8cd6043c7f00d6e5f6b5a399945c77cbd","abstract_canon_sha256":"bfba09ff48e42c44ca558b33643653d8a13545631dfff576da24a45f5b402bb8"},"schema_version":"1.0"},"canonical_sha256":"295721a346e97b2ed5aa25cecacf96020204ed4317f4603c0e17f12ead3fbb6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:57:21.765930Z","signature_b64":"leVTl1Q1HpbNqU1Ls6Ayr07SSltHdhowwC8t1mEJjFtkei8+HWYhm5Q3OA8R925RdWjo4oR3szqMm0PuUbH2Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"295721a346e97b2ed5aa25cecacf96020204ed4317f4603c0e17f12ead3fbb6e","last_reissued_at":"2026-07-05T06:57:21.765454Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:57:21.765454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.09230","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":"2026-07-05T06:57:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9hhCQECvjfFhEGkKYCUq3jid+onucBynJNjxqoGDM92nQeERcve1OeKwMHYUaa/3/2lNuTC5281NmyS/giEHBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T19:02:38.042044Z"},"content_sha256":"e22cc89fc9aae9223afa404fa84bfb0a880fbf942bf939dfce6a5e21a0ad0f62","schema_version":"1.0","event_id":"sha256:e22cc89fc9aae9223afa404fa84bfb0a880fbf942bf939dfce6a5e21a0ad0f62"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FFLSDI2G5F5S5VNKEXHMVT4WAI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huaidong Zhang, Jianqing Zhu, Shengfeng He, Xuemiao Xu, Yi Xie","submitted_at":"2023-03-16T11:09:22Z","abstract_excerpt":"Previous Knowledge Distillation based efficient image retrieval methods employs a lightweight network as the student model for fast inference. However, the lightweight student model lacks adequate representation capacity for effective knowledge imitation during the most critical early training period, causing final performance degeneration. To tackle this issue, we propose a Capacity Dynamic Distillation framework, which constructs a student model with editable representation capacity. Specifically, the employed student model is initially a heavy model to fruitfully learn distilled knowledge i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.09230","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/2303.09230/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":"2026-07-05T06:57:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PSS6zRqE+Ot7UMBnIeoQFE8noVfxoqSFbH2S+uLF1HtvkEpITy9Xm8GL+r89Ivm5FzjlEuZDJP64eYN10eseAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T19:02:38.043047Z"},"content_sha256":"5aa74fb1147a4618d05ada179eb29db1da0887c9f7bab1f3129e6c8f8d0bb60f","schema_version":"1.0","event_id":"sha256:5aa74fb1147a4618d05ada179eb29db1da0887c9f7bab1f3129e6c8f8d0bb60f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FFLSDI2G5F5S5VNKEXHMVT4WAI/bundle.json","state_url":"https://pith.science/pith/FFLSDI2G5F5S5VNKEXHMVT4WAI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FFLSDI2G5F5S5VNKEXHMVT4WAI/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":"2026-08-12T19:02:38Z","links":{"resolver":"https://pith.science/pith/FFLSDI2G5F5S5VNKEXHMVT4WAI","bundle":"https://pith.science/pith/FFLSDI2G5F5S5VNKEXHMVT4WAI/bundle.json","state":"https://pith.science/pith/FFLSDI2G5F5S5VNKEXHMVT4WAI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FFLSDI2G5F5S5VNKEXHMVT4WAI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FFLSDI2G5F5S5VNKEXHMVT4WAI","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":"bfba09ff48e42c44ca558b33643653d8a13545631dfff576da24a45f5b402bb8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T11:09:22Z","title_canon_sha256":"750dc862d72506e118a099329d5ab5d8cd6043c7f00d6e5f6b5a399945c77cbd"},"schema_version":"1.0","source":{"id":"2303.09230","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.09230","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"arxiv_version","alias_value":"2303.09230v2","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.09230","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"pith_short_12","alias_value":"FFLSDI2G5F5S","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"pith_short_16","alias_value":"FFLSDI2G5F5S5VNK","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"pith_short_8","alias_value":"FFLSDI2G","created_at":"2026-07-05T06:57:21Z"}],"graph_snapshots":[{"event_id":"sha256:5aa74fb1147a4618d05ada179eb29db1da0887c9f7bab1f3129e6c8f8d0bb60f","target":"graph","created_at":"2026-07-05T06:57:21Z","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/2303.09230/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Previous Knowledge Distillation based efficient image retrieval methods employs a lightweight network as the student model for fast inference. However, the lightweight student model lacks adequate representation capacity for effective knowledge imitation during the most critical early training period, causing final performance degeneration. To tackle this issue, we propose a Capacity Dynamic Distillation framework, which constructs a student model with editable representation capacity. Specifically, the employed student model is initially a heavy model to fruitfully learn distilled knowledge i","authors_text":"Huaidong Zhang, Jianqing Zhu, Shengfeng He, Xuemiao Xu, Yi Xie","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T11:09:22Z","title":"Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.09230","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:e22cc89fc9aae9223afa404fa84bfb0a880fbf942bf939dfce6a5e21a0ad0f62","target":"record","created_at":"2026-07-05T06:57:21Z","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":"bfba09ff48e42c44ca558b33643653d8a13545631dfff576da24a45f5b402bb8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T11:09:22Z","title_canon_sha256":"750dc862d72506e118a099329d5ab5d8cd6043c7f00d6e5f6b5a399945c77cbd"},"schema_version":"1.0","source":{"id":"2303.09230","kind":"arxiv","version":2}},"canonical_sha256":"295721a346e97b2ed5aa25cecacf96020204ed4317f4603c0e17f12ead3fbb6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"295721a346e97b2ed5aa25cecacf96020204ed4317f4603c0e17f12ead3fbb6e","first_computed_at":"2026-07-05T06:57:21.765454Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:57:21.765454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"leVTl1Q1HpbNqU1Ls6Ayr07SSltHdhowwC8t1mEJjFtkei8+HWYhm5Q3OA8R925RdWjo4oR3szqMm0PuUbH2Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:57:21.765930Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.09230","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e22cc89fc9aae9223afa404fa84bfb0a880fbf942bf939dfce6a5e21a0ad0f62","sha256:5aa74fb1147a4618d05ada179eb29db1da0887c9f7bab1f3129e6c8f8d0bb60f"],"state_sha256":"736c79a8ba3486100039026608c9ae94838b65c3df3c3bf451d97f83e3d099c2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f/7OMsgIM/mnJVLCcMB4GRFvNfaNFsr6R0oiGt09bM24jZPPFJm9PrVZtLNm00x0xrZsWV8073ZiqGsJkP9uDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T19:02:38.048636Z","bundle_sha256":"7680361a8b1b1d376c69b951784343e5495ad295c3954a11a454045d5461e39c"}}