{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:LNNSI5UCLHSOJU33RCMOLKOC7G","short_pith_number":"pith:LNNSI5UC","canonical_record":{"source":{"id":"1805.07170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-18T12:32:16Z","cross_cats_sorted":[],"title_canon_sha256":"01b15652c4c546a6b1b6c1e47c25c58b4fedd54539f60fb67bcaabfbd69110d4","abstract_canon_sha256":"d84c6b018f2e6176e1004632a53758f3dadfe31eb53cdeeb657b4bef513c6848"},"schema_version":"1.0"},"canonical_sha256":"5b5b24768259e4e4d37b8898e5a9c2f9b3782f1ebabea9175623a83fcb8032ce","source":{"kind":"arxiv","id":"1805.07170","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.07170","created_at":"2026-05-18T00:15:39Z"},{"alias_kind":"arxiv_version","alias_value":"1805.07170v1","created_at":"2026-05-18T00:15:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07170","created_at":"2026-05-18T00:15:39Z"},{"alias_kind":"pith_short_12","alias_value":"LNNSI5UCLHSO","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LNNSI5UCLHSOJU33","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LNNSI5UC","created_at":"2026-05-18T12:32:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:LNNSI5UCLHSOJU33RCMOLKOC7G","target":"record","payload":{"canonical_record":{"source":{"id":"1805.07170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-18T12:32:16Z","cross_cats_sorted":[],"title_canon_sha256":"01b15652c4c546a6b1b6c1e47c25c58b4fedd54539f60fb67bcaabfbd69110d4","abstract_canon_sha256":"d84c6b018f2e6176e1004632a53758f3dadfe31eb53cdeeb657b4bef513c6848"},"schema_version":"1.0"},"canonical_sha256":"5b5b24768259e4e4d37b8898e5a9c2f9b3782f1ebabea9175623a83fcb8032ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:39.037170Z","signature_b64":"jEXAlyzN646ZwgndoDBUyhJfcCRuPt3UhaL4jhRUlsDXmhEX0rremWU4tg7x4jE1e0dOQdNh+Nca/MsYQGoBAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b5b24768259e4e4d37b8898e5a9c2f9b3782f1ebabea9175623a83fcb8032ce","last_reissued_at":"2026-05-18T00:15:39.036523Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:39.036523Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.07170","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":"2026-05-18T00:15:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hASnaLj1Cjrqffxmk9GDxJAcmvcxQOCwJV0jhN2wruIeZWjR+03eydPrFp91m4QDamhdhT+QHkQEuYYy4O7XAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:44:59.251164Z"},"content_sha256":"8020ebcf95d5b3af0b1d0ca6432ac9dfcdb351a3ae274de97548d00b811c7374","schema_version":"1.0","event_id":"sha256:8020ebcf95d5b3af0b1d0ca6432ac9dfcdb351a3ae274de97548d00b811c7374"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:LNNSI5UCLHSOJU33RCMOLKOC7G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Recurrent knowledge distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jan C. van Gemert, Silvia L. Pintea, Yue Liu","submitted_at":"2018-05-18T12:32:16Z","abstract_excerpt":"Knowledge distillation compacts deep networks by letting a small student network learn from a large teacher network. The accuracy of knowledge distillation recently benefited from adding residual layers. We propose to reduce the size of the student network even further by recasting multiple residual layers in the teacher network into a single recurrent student layer. We propose three variants of adding recurrent connections into the student network, and show experimentally on CIFAR-10, Scenes and MiniPlaces, that we can reduce the number of parameters at little loss in accuracy."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07170","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":"2026-05-18T00:15:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MD9i4OFqXoarYfVATe+Cy+KzIu9U2vp1JmNuPxEcLWz3g55lVfl1rAV/RT9IZt5C7NjtES6ZrNqRA5YFG2IcDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:44:59.251538Z"},"content_sha256":"3caf43298bb8db1d885c5944704659b03449b4cb08b5b0028115fcc128d9e610","schema_version":"1.0","event_id":"sha256:3caf43298bb8db1d885c5944704659b03449b4cb08b5b0028115fcc128d9e610"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LNNSI5UCLHSOJU33RCMOLKOC7G/bundle.json","state_url":"https://pith.science/pith/LNNSI5UCLHSOJU33RCMOLKOC7G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LNNSI5UCLHSOJU33RCMOLKOC7G/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":"2026-05-28T06:44:59Z","links":{"resolver":"https://pith.science/pith/LNNSI5UCLHSOJU33RCMOLKOC7G","bundle":"https://pith.science/pith/LNNSI5UCLHSOJU33RCMOLKOC7G/bundle.json","state":"https://pith.science/pith/LNNSI5UCLHSOJU33RCMOLKOC7G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LNNSI5UCLHSOJU33RCMOLKOC7G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LNNSI5UCLHSOJU33RCMOLKOC7G","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":"d84c6b018f2e6176e1004632a53758f3dadfe31eb53cdeeb657b4bef513c6848","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-18T12:32:16Z","title_canon_sha256":"01b15652c4c546a6b1b6c1e47c25c58b4fedd54539f60fb67bcaabfbd69110d4"},"schema_version":"1.0","source":{"id":"1805.07170","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.07170","created_at":"2026-05-18T00:15:39Z"},{"alias_kind":"arxiv_version","alias_value":"1805.07170v1","created_at":"2026-05-18T00:15:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07170","created_at":"2026-05-18T00:15:39Z"},{"alias_kind":"pith_short_12","alias_value":"LNNSI5UCLHSO","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LNNSI5UCLHSOJU33","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LNNSI5UC","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:3caf43298bb8db1d885c5944704659b03449b4cb08b5b0028115fcc128d9e610","target":"graph","created_at":"2026-05-18T00:15:39Z","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":"Knowledge distillation compacts deep networks by letting a small student network learn from a large teacher network. The accuracy of knowledge distillation recently benefited from adding residual layers. We propose to reduce the size of the student network even further by recasting multiple residual layers in the teacher network into a single recurrent student layer. We propose three variants of adding recurrent connections into the student network, and show experimentally on CIFAR-10, Scenes and MiniPlaces, that we can reduce the number of parameters at little loss in accuracy.","authors_text":"Jan C. van Gemert, Silvia L. Pintea, Yue Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-18T12:32:16Z","title":"Recurrent knowledge distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07170","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":"sha256:8020ebcf95d5b3af0b1d0ca6432ac9dfcdb351a3ae274de97548d00b811c7374","target":"record","created_at":"2026-05-18T00:15:39Z","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":"d84c6b018f2e6176e1004632a53758f3dadfe31eb53cdeeb657b4bef513c6848","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-18T12:32:16Z","title_canon_sha256":"01b15652c4c546a6b1b6c1e47c25c58b4fedd54539f60fb67bcaabfbd69110d4"},"schema_version":"1.0","source":{"id":"1805.07170","kind":"arxiv","version":1}},"canonical_sha256":"5b5b24768259e4e4d37b8898e5a9c2f9b3782f1ebabea9175623a83fcb8032ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b5b24768259e4e4d37b8898e5a9c2f9b3782f1ebabea9175623a83fcb8032ce","first_computed_at":"2026-05-18T00:15:39.036523Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:15:39.036523Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jEXAlyzN646ZwgndoDBUyhJfcCRuPt3UhaL4jhRUlsDXmhEX0rremWU4tg7x4jE1e0dOQdNh+Nca/MsYQGoBAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:15:39.037170Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.07170","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8020ebcf95d5b3af0b1d0ca6432ac9dfcdb351a3ae274de97548d00b811c7374","sha256:3caf43298bb8db1d885c5944704659b03449b4cb08b5b0028115fcc128d9e610"],"state_sha256":"09eb4e9ee1d9c6bb032e96c03fd0305d92d267370907250e45fb83cde5cd661c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mjVejiG3i9nCegmLSNNK3i8o0WxP2ytNs1ZJHfK644A1RGIPqPhgaWlZ04jpgGjL3KPkD+4wLChZdWtwdMmmCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T06:44:59.253496Z","bundle_sha256":"728258043737a6d6cf758004d414f05b78d809569573bbd37f9946d0b7e0efe4"}}