{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XBEIAPSXPYU6BTVVPR74HDT367","short_pith_number":"pith:XBEIAPSX","canonical_record":{"source":{"id":"1810.08363","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-19T06:25:00Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"70bd08a3f229de4c784f19a292327089dcdf0842ea6a9f2cb644718dbb20b776","abstract_canon_sha256":"42ae25c72f36af06db0a78c15fbe035bf3bd658a9a7d55d3071812210cd7791e"},"schema_version":"1.0"},"canonical_sha256":"b848803e577e29e0ceb57c7fc38e7bf7f52800cb325b7e95c8c0cb70dbea6bc3","source":{"kind":"arxiv","id":"1810.08363","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.08363","created_at":"2026-05-18T00:02:48Z"},{"alias_kind":"arxiv_version","alias_value":"1810.08363v1","created_at":"2026-05-18T00:02:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.08363","created_at":"2026-05-18T00:02:48Z"},{"alias_kind":"pith_short_12","alias_value":"XBEIAPSXPYU6","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XBEIAPSXPYU6BTVV","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XBEIAPSX","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XBEIAPSXPYU6BTVVPR74HDT367","target":"record","payload":{"canonical_record":{"source":{"id":"1810.08363","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-19T06:25:00Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"70bd08a3f229de4c784f19a292327089dcdf0842ea6a9f2cb644718dbb20b776","abstract_canon_sha256":"42ae25c72f36af06db0a78c15fbe035bf3bd658a9a7d55d3071812210cd7791e"},"schema_version":"1.0"},"canonical_sha256":"b848803e577e29e0ceb57c7fc38e7bf7f52800cb325b7e95c8c0cb70dbea6bc3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:48.330926Z","signature_b64":"FBlp5BM2gj7OyxTtQk57uvNjZ484wfzfG+rEW3FZJfXAHfe3y+cxmRJgrWWolJBtRxlfNXaGqYj3i+/nKqyjDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b848803e577e29e0ceb57c7fc38e7bf7f52800cb325b7e95c8c0cb70dbea6bc3","last_reissued_at":"2026-05-18T00:02:48.330406Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:48.330406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.08363","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":"2026-05-18T00:02:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vOW7dEx7CHvXxzl0zFzOB1Ve1xkL/bGBZABtkvnmuxpa/ropxUGQlXsSMN35JoEsdwm3jfNY7ISCK0mjWBHFAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T04:59:11.516620Z"},"content_sha256":"606bf5ab693cd1c9b2eb2c808d5837b060b8a4f3282c0962180bf2695a1f0f23","schema_version":"1.0","event_id":"sha256:606bf5ab693cd1c9b2eb2c808d5837b060b8a4f3282c0962180bf2695a1f0f23"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XBEIAPSXPYU6BTVVPR74HDT367","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative Low-Shot Network Expansion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Adi Hayat, Daniel Cohen-Or, Mark Kliger, Shachar Fleishman","submitted_at":"2018-10-19T06:25:00Z","abstract_excerpt":"Conventional deep learning classifiers are static in the sense that they are trained on a predefined set of classes and learning to classify a novel class typically requires re-training. In this work, we address the problem of Low-Shot network expansion learning. We introduce a learning framework which enables expanding a pre-trained (base) deep network to classify novel classes when the number of examples for the novel classes is particularly small. We present a simple yet powerful hard distillation method where the base network is augmented with additional weights to classify the novel class"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.08363","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":"2026-05-18T00:02:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5o2PS/WC2MqsM8ziiaE12EyAKuhRJ2ShxZc2CHTBAtIgRFwjk2gxhLfwWU0fx4CJDAm6KOFOSO7dWKJQy0qCCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T04:59:11.517770Z"},"content_sha256":"07fbf90b0d48344b66730f3e4b478e4c6e2b30d44800bac78bf2436bec0449e7","schema_version":"1.0","event_id":"sha256:07fbf90b0d48344b66730f3e4b478e4c6e2b30d44800bac78bf2436bec0449e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XBEIAPSXPYU6BTVVPR74HDT367/bundle.json","state_url":"https://pith.science/pith/XBEIAPSXPYU6BTVVPR74HDT367/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XBEIAPSXPYU6BTVVPR74HDT367/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":"2026-06-12T04:59:11Z","links":{"resolver":"https://pith.science/pith/XBEIAPSXPYU6BTVVPR74HDT367","bundle":"https://pith.science/pith/XBEIAPSXPYU6BTVVPR74HDT367/bundle.json","state":"https://pith.science/pith/XBEIAPSXPYU6BTVVPR74HDT367/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XBEIAPSXPYU6BTVVPR74HDT367/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XBEIAPSXPYU6BTVVPR74HDT367","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":"42ae25c72f36af06db0a78c15fbe035bf3bd658a9a7d55d3071812210cd7791e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-19T06:25:00Z","title_canon_sha256":"70bd08a3f229de4c784f19a292327089dcdf0842ea6a9f2cb644718dbb20b776"},"schema_version":"1.0","source":{"id":"1810.08363","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.08363","created_at":"2026-05-18T00:02:48Z"},{"alias_kind":"arxiv_version","alias_value":"1810.08363v1","created_at":"2026-05-18T00:02:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.08363","created_at":"2026-05-18T00:02:48Z"},{"alias_kind":"pith_short_12","alias_value":"XBEIAPSXPYU6","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XBEIAPSXPYU6BTVV","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XBEIAPSX","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:07fbf90b0d48344b66730f3e4b478e4c6e2b30d44800bac78bf2436bec0449e7","target":"graph","created_at":"2026-05-18T00:02:48Z","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":"Conventional deep learning classifiers are static in the sense that they are trained on a predefined set of classes and learning to classify a novel class typically requires re-training. In this work, we address the problem of Low-Shot network expansion learning. We introduce a learning framework which enables expanding a pre-trained (base) deep network to classify novel classes when the number of examples for the novel classes is particularly small. We present a simple yet powerful hard distillation method where the base network is augmented with additional weights to classify the novel class","authors_text":"Adi Hayat, Daniel Cohen-Or, Mark Kliger, Shachar Fleishman","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-19T06:25:00Z","title":"Generative Low-Shot Network Expansion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.08363","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":"sha256:606bf5ab693cd1c9b2eb2c808d5837b060b8a4f3282c0962180bf2695a1f0f23","target":"record","created_at":"2026-05-18T00:02:48Z","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":"42ae25c72f36af06db0a78c15fbe035bf3bd658a9a7d55d3071812210cd7791e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-19T06:25:00Z","title_canon_sha256":"70bd08a3f229de4c784f19a292327089dcdf0842ea6a9f2cb644718dbb20b776"},"schema_version":"1.0","source":{"id":"1810.08363","kind":"arxiv","version":1}},"canonical_sha256":"b848803e577e29e0ceb57c7fc38e7bf7f52800cb325b7e95c8c0cb70dbea6bc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b848803e577e29e0ceb57c7fc38e7bf7f52800cb325b7e95c8c0cb70dbea6bc3","first_computed_at":"2026-05-18T00:02:48.330406Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:48.330406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FBlp5BM2gj7OyxTtQk57uvNjZ484wfzfG+rEW3FZJfXAHfe3y+cxmRJgrWWolJBtRxlfNXaGqYj3i+/nKqyjDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:48.330926Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.08363","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:606bf5ab693cd1c9b2eb2c808d5837b060b8a4f3282c0962180bf2695a1f0f23","sha256:07fbf90b0d48344b66730f3e4b478e4c6e2b30d44800bac78bf2436bec0449e7"],"state_sha256":"66bd09f0469bd449b63584c8aae726cafef08ecc1cd3a9cd2ca3170fcb94ab1e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A7ib/lSNadOdJnioL06lLygO46G3y64H1ChOwvTlIjCy6g/QnkQgTU7Oj01NlMep/puTazWEOKd75kacj4cIAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T04:59:11.520624Z","bundle_sha256":"146f04510ce587cc0b87040429b09c3d94617469826ab09a3f54723400f0466f"}}