{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5JSYXKFNDMJ7WAJMBJ4O6GOMDB","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":"e489fee389e5856e99d578bff065a59159e14bbf2a97daea7453ac95824fda60","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-23T06:12:58Z","title_canon_sha256":"343e9110628da48d73115141de5f8895c2b3c4b73672dd30dba8e61975408209"},"schema_version":"1.0","source":{"id":"1904.10167","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.10167","created_at":"2026-05-17T23:47:54Z"},{"alias_kind":"arxiv_version","alias_value":"1904.10167v1","created_at":"2026-05-17T23:47:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.10167","created_at":"2026-05-17T23:47:54Z"},{"alias_kind":"pith_short_12","alias_value":"5JSYXKFNDMJ7","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"5JSYXKFNDMJ7WAJM","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"5JSYXKFN","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:e937829c9de9e9e03aac6e58f98e4bee46db08dc651ebcafe8f22d475e10ff5e","target":"graph","created_at":"2026-05-17T23:47:54Z","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":"In this paper, we investigate a novel deep-model reusing task. Our goal is to train a lightweight and versatile student model, without human-labelled annotations, that amalgamates the knowledge and masters the expertise of two pretrained teacher models working on heterogeneous problems, one on scene parsing and the other on depth estimation. To this end, we propose an innovative training strategy that learns the parameters of the student intertwined with the teachers, achieved by 'projecting' its amalgamated features onto each teacher's domain and computing the loss. We also introduce two opti","authors_text":"Dapeng Tao, Jingwen Ye, Kairi Ou, Mingli Song, Xinchao Wang, Yixin Ji","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-23T06:12:58Z","title":"Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.10167","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":"sha256:1f52b81b6fb6c64c211e7f9be4a8842928c949813445260d8b6d14dfa84ac744","target":"record","created_at":"2026-05-17T23:47:54Z","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":"e489fee389e5856e99d578bff065a59159e14bbf2a97daea7453ac95824fda60","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-23T06:12:58Z","title_canon_sha256":"343e9110628da48d73115141de5f8895c2b3c4b73672dd30dba8e61975408209"},"schema_version":"1.0","source":{"id":"1904.10167","kind":"arxiv","version":1}},"canonical_sha256":"ea658ba8ad1b13fb012c0a78ef19cc1847664f24b849fca7885dbad3b5480f25","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea658ba8ad1b13fb012c0a78ef19cc1847664f24b849fca7885dbad3b5480f25","first_computed_at":"2026-05-17T23:47:54.935691Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:54.935691Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dSYDTJ4iixx60nncQolzDqyRYS0uhURK4s9wvkCp5iXwonFhF6XXPC7+yq8r7FMl+6Kcow4/wRw5TZJfyfrSAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:54.936194Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.10167","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f52b81b6fb6c64c211e7f9be4a8842928c949813445260d8b6d14dfa84ac744","sha256:e937829c9de9e9e03aac6e58f98e4bee46db08dc651ebcafe8f22d475e10ff5e"],"state_sha256":"f7be26b2d58961b1084f7cf48ef6e5be6e3c259b5e642c3c282f81df370be690"}