{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:I5KA3ADKA6QTJOTI45Y5KXJDM2","short_pith_number":"pith:I5KA3ADK","canonical_record":{"source":{"id":"2312.08700","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-14T07:34:08Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0a82b4420e3086367eae0d4f77350d6074f86a64f3c6b3bc7a3b1b31c35f1150","abstract_canon_sha256":"722fded1762e77558a3c9807ac8293842bb5a16fbbc21b7f72f42f02d9568b96"},"schema_version":"1.0"},"canonical_sha256":"47540d806a07a134ba68e771d55d23669893bc6650cc334f80d8e9ac7cea250b","source":{"kind":"arxiv","id":"2312.08700","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.08700","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"arxiv_version","alias_value":"2312.08700v1","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.08700","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"pith_short_12","alias_value":"I5KA3ADKA6QT","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"pith_short_16","alias_value":"I5KA3ADKA6QTJOTI","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"pith_short_8","alias_value":"I5KA3ADK","created_at":"2026-07-05T07:24:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:I5KA3ADKA6QTJOTI45Y5KXJDM2","target":"record","payload":{"canonical_record":{"source":{"id":"2312.08700","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-14T07:34:08Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0a82b4420e3086367eae0d4f77350d6074f86a64f3c6b3bc7a3b1b31c35f1150","abstract_canon_sha256":"722fded1762e77558a3c9807ac8293842bb5a16fbbc21b7f72f42f02d9568b96"},"schema_version":"1.0"},"canonical_sha256":"47540d806a07a134ba68e771d55d23669893bc6650cc334f80d8e9ac7cea250b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:24:08.184753Z","signature_b64":"P/Z1do4gp3thPbGbIQtA+4nERRXU0QpW051+oSQiaGcDS7QJCgy8t28H0Dfn2z0Rl5QkBgxIbEr9fp8Nqve2Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47540d806a07a134ba68e771d55d23669893bc6650cc334f80d8e9ac7cea250b","last_reissued_at":"2026-07-05T07:24:08.184351Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:24:08.184351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.08700","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":"2026-07-05T07:24:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j5xQpAEj0Xl3xYaQgnCfLL22vLfnYMEdPj4GBXUgVT5hvzjp19iWuWJl2ktn6gxijvtFB5rnG/1lufzmiozyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T01:15:36.523391Z"},"content_sha256":"cbf5d1c86f55c332f8d2d9db98e4694b5b4db208363879aa7e64d26542a024bf","schema_version":"1.0","event_id":"sha256:cbf5d1c86f55c332f8d2d9db98e4694b5b4db208363879aa7e64d26542a024bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:I5KA3ADKA6QTJOTI45Y5KXJDM2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RdimKD: Generic Distillation Paradigm by Dimensionality Reduction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Haotong Qin, Shouda Liu, Van Tung Pham, Xiaoyang Li, Yang Zhang, Yi Guo, Yiqian He","submitted_at":"2023-12-14T07:34:08Z","abstract_excerpt":"Knowledge Distillation (KD) emerges as one of the most promising compression technologies to run advanced deep neural networks on resource-limited devices. In order to train a small network (student) under the guidance of a large network (teacher), the intuitive method is regularizing the feature maps or logits of the student using the teacher's information. However, existing methods either over-restrict the student to learn all information from the teacher, which lead to some bad local minimum, or use various fancy and elaborate modules to process and align features, which are complex and lac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.08700","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/2312.08700/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":"2026-07-05T07:24:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5QhhxMJOROzNcwXyqrVq4vxbW3qo+8DHWWi3hLL9SvBMaRtuxkqFTsnuXYlGs2luDyb3Im4NhFZDCzqJo4W6CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T01:15:36.523755Z"},"content_sha256":"49e5870164349cb9a7f7af1cfb1a475516205b6c413bb4d15e2617d89ace2718","schema_version":"1.0","event_id":"sha256:49e5870164349cb9a7f7af1cfb1a475516205b6c413bb4d15e2617d89ace2718"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I5KA3ADKA6QTJOTI45Y5KXJDM2/bundle.json","state_url":"https://pith.science/pith/I5KA3ADKA6QTJOTI45Y5KXJDM2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I5KA3ADKA6QTJOTI45Y5KXJDM2/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":"2026-07-14T01:15:36Z","links":{"resolver":"https://pith.science/pith/I5KA3ADKA6QTJOTI45Y5KXJDM2","bundle":"https://pith.science/pith/I5KA3ADKA6QTJOTI45Y5KXJDM2/bundle.json","state":"https://pith.science/pith/I5KA3ADKA6QTJOTI45Y5KXJDM2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I5KA3ADKA6QTJOTI45Y5KXJDM2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:I5KA3ADKA6QTJOTI45Y5KXJDM2","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":"722fded1762e77558a3c9807ac8293842bb5a16fbbc21b7f72f42f02d9568b96","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-14T07:34:08Z","title_canon_sha256":"0a82b4420e3086367eae0d4f77350d6074f86a64f3c6b3bc7a3b1b31c35f1150"},"schema_version":"1.0","source":{"id":"2312.08700","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.08700","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"arxiv_version","alias_value":"2312.08700v1","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.08700","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"pith_short_12","alias_value":"I5KA3ADKA6QT","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"pith_short_16","alias_value":"I5KA3ADKA6QTJOTI","created_at":"2026-07-05T07:24:08Z"},{"alias_kind":"pith_short_8","alias_value":"I5KA3ADK","created_at":"2026-07-05T07:24:08Z"}],"graph_snapshots":[{"event_id":"sha256:49e5870164349cb9a7f7af1cfb1a475516205b6c413bb4d15e2617d89ace2718","target":"graph","created_at":"2026-07-05T07:24:08Z","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/2312.08700/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge Distillation (KD) emerges as one of the most promising compression technologies to run advanced deep neural networks on resource-limited devices. In order to train a small network (student) under the guidance of a large network (teacher), the intuitive method is regularizing the feature maps or logits of the student using the teacher's information. However, existing methods either over-restrict the student to learn all information from the teacher, which lead to some bad local minimum, or use various fancy and elaborate modules to process and align features, which are complex and lac","authors_text":"Haotong Qin, Shouda Liu, Van Tung Pham, Xiaoyang Li, Yang Zhang, Yi Guo, Yiqian He","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-14T07:34:08Z","title":"RdimKD: Generic Distillation Paradigm by Dimensionality Reduction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.08700","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:cbf5d1c86f55c332f8d2d9db98e4694b5b4db208363879aa7e64d26542a024bf","target":"record","created_at":"2026-07-05T07:24:08Z","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":"722fded1762e77558a3c9807ac8293842bb5a16fbbc21b7f72f42f02d9568b96","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-14T07:34:08Z","title_canon_sha256":"0a82b4420e3086367eae0d4f77350d6074f86a64f3c6b3bc7a3b1b31c35f1150"},"schema_version":"1.0","source":{"id":"2312.08700","kind":"arxiv","version":1}},"canonical_sha256":"47540d806a07a134ba68e771d55d23669893bc6650cc334f80d8e9ac7cea250b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47540d806a07a134ba68e771d55d23669893bc6650cc334f80d8e9ac7cea250b","first_computed_at":"2026-07-05T07:24:08.184351Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:24:08.184351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P/Z1do4gp3thPbGbIQtA+4nERRXU0QpW051+oSQiaGcDS7QJCgy8t28H0Dfn2z0Rl5QkBgxIbEr9fp8Nqve2Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:24:08.184753Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.08700","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cbf5d1c86f55c332f8d2d9db98e4694b5b4db208363879aa7e64d26542a024bf","sha256:49e5870164349cb9a7f7af1cfb1a475516205b6c413bb4d15e2617d89ace2718"],"state_sha256":"664dfe513b987112f07b813ec792d9ef83939ed63c49604d5b3e9472cc47689e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rsQ6Wfdfs+MPHlmPlgldlHSNYnTGzUWmv82ibd2NC0eeGnkeaiT76iL9M4VVPMv5ujwcWCzLP84Z/f2TJBq5Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-14T01:15:36.525647Z","bundle_sha256":"7a90630075527f7adce0b32f9930492c605ae69ca55a43fc4b18cfc67bc15d4b"}}