{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MVGHX3OA5V65W7VABLMM47LZHS","short_pith_number":"pith:MVGHX3OA","canonical_record":{"source":{"id":"2406.15476","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:13:30Z","cross_cats_sorted":[],"title_canon_sha256":"0b6b4514bb9c6af05bf42baf537e3125b75632bab5eb35d13111dfaaa5fdc81d","abstract_canon_sha256":"660db3d79d6c47fd01ec99156b06eb480922963a148035ee9f7433b5441b9af6"},"schema_version":"1.0"},"canonical_sha256":"654c7bedc0ed7ddb7ea00ad8ce7d793cb02ab96bd241cf62fd190fb88df87fec","source":{"kind":"arxiv","id":"2406.15476","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.15476","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"arxiv_version","alias_value":"2406.15476v1","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.15476","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"pith_short_12","alias_value":"MVGHX3OA5V65","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"pith_short_16","alias_value":"MVGHX3OA5V65W7VA","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"pith_short_8","alias_value":"MVGHX3OA","created_at":"2026-07-05T08:35:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MVGHX3OA5V65W7VABLMM47LZHS","target":"record","payload":{"canonical_record":{"source":{"id":"2406.15476","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:13:30Z","cross_cats_sorted":[],"title_canon_sha256":"0b6b4514bb9c6af05bf42baf537e3125b75632bab5eb35d13111dfaaa5fdc81d","abstract_canon_sha256":"660db3d79d6c47fd01ec99156b06eb480922963a148035ee9f7433b5441b9af6"},"schema_version":"1.0"},"canonical_sha256":"654c7bedc0ed7ddb7ea00ad8ce7d793cb02ab96bd241cf62fd190fb88df87fec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:35:23.037024Z","signature_b64":"ccGHtxbWhgudwTuaGm7QL56Eim2+f4AitBdP9C9vtNX8hUpBGzuhbcI0MCnNf+zOeHBngf5umUVdfUPiyiTuCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"654c7bedc0ed7ddb7ea00ad8ce7d793cb02ab96bd241cf62fd190fb88df87fec","last_reissued_at":"2026-07-05T08:35:23.036574Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:35:23.036574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.15476","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":"2026-07-05T08:35:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AbUXy482HewLZQxVDg23CzoTTyutl+IYuiCa00FeFJ3xdKE7QbMN11bTPZQ45X/tZ3ZpQbi0LHX51cryzhBfBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T12:48:43.991200Z"},"content_sha256":"247353082b05b58ac9a7048080157d9283abbfdccaec0942108f14dc2a8316db","schema_version":"1.0","event_id":"sha256:247353082b05b58ac9a7048080157d9283abbfdccaec0942108f14dc2a8316db"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MVGHX3OA5V65W7VABLMM47LZHS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Regulated Data-Free Knowledge Amalgamation for Text Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"David Beymer, Ehsan Degan, Hongzhi Wang, Luyao Shi, Prashanth Vijayaraghavan, Tyler Baldwin","submitted_at":"2024-06-16T21:13:30Z","abstract_excerpt":"Recently, there has been a growing availability of pre-trained text models on various model repositories. These models greatly reduce the cost of training new models from scratch as they can be fine-tuned for specific tasks or trained on large datasets. However, these datasets may not be publicly accessible due to the privacy, security, or intellectual property issues. In this paper, we aim to develop a lightweight student network that can learn from multiple teacher models without accessing their original training data. Hence, we investigate Data-Free Knowledge Amalgamation (DFKA), a knowledg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.15476","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/2406.15476/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":"2026-07-05T08:35:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pz5594LXoEPpb6rpspJStRFO79eQ58w/nhdNlavkQtgVj6/qzJnGTw2PWlpLCUEfQKmCuS7xSWHJaM2rwTnwCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T12:48:43.991800Z"},"content_sha256":"5e876636bb683aeb0c66386c70f0fd45c555a1bbab35e45ff1b586f204545bb1","schema_version":"1.0","event_id":"sha256:5e876636bb683aeb0c66386c70f0fd45c555a1bbab35e45ff1b586f204545bb1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MVGHX3OA5V65W7VABLMM47LZHS/bundle.json","state_url":"https://pith.science/pith/MVGHX3OA5V65W7VABLMM47LZHS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MVGHX3OA5V65W7VABLMM47LZHS/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":"2026-08-10T12:48:43Z","links":{"resolver":"https://pith.science/pith/MVGHX3OA5V65W7VABLMM47LZHS","bundle":"https://pith.science/pith/MVGHX3OA5V65W7VABLMM47LZHS/bundle.json","state":"https://pith.science/pith/MVGHX3OA5V65W7VABLMM47LZHS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MVGHX3OA5V65W7VABLMM47LZHS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MVGHX3OA5V65W7VABLMM47LZHS","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":"660db3d79d6c47fd01ec99156b06eb480922963a148035ee9f7433b5441b9af6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:13:30Z","title_canon_sha256":"0b6b4514bb9c6af05bf42baf537e3125b75632bab5eb35d13111dfaaa5fdc81d"},"schema_version":"1.0","source":{"id":"2406.15476","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.15476","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"arxiv_version","alias_value":"2406.15476v1","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.15476","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"pith_short_12","alias_value":"MVGHX3OA5V65","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"pith_short_16","alias_value":"MVGHX3OA5V65W7VA","created_at":"2026-07-05T08:35:23Z"},{"alias_kind":"pith_short_8","alias_value":"MVGHX3OA","created_at":"2026-07-05T08:35:23Z"}],"graph_snapshots":[{"event_id":"sha256:5e876636bb683aeb0c66386c70f0fd45c555a1bbab35e45ff1b586f204545bb1","target":"graph","created_at":"2026-07-05T08:35:23Z","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/2406.15476/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, there has been a growing availability of pre-trained text models on various model repositories. These models greatly reduce the cost of training new models from scratch as they can be fine-tuned for specific tasks or trained on large datasets. However, these datasets may not be publicly accessible due to the privacy, security, or intellectual property issues. In this paper, we aim to develop a lightweight student network that can learn from multiple teacher models without accessing their original training data. Hence, we investigate Data-Free Knowledge Amalgamation (DFKA), a knowledg","authors_text":"David Beymer, Ehsan Degan, Hongzhi Wang, Luyao Shi, Prashanth Vijayaraghavan, Tyler Baldwin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:13:30Z","title":"Self-Regulated Data-Free Knowledge Amalgamation for Text Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.15476","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":"sha256:247353082b05b58ac9a7048080157d9283abbfdccaec0942108f14dc2a8316db","target":"record","created_at":"2026-07-05T08:35:23Z","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":"660db3d79d6c47fd01ec99156b06eb480922963a148035ee9f7433b5441b9af6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-16T21:13:30Z","title_canon_sha256":"0b6b4514bb9c6af05bf42baf537e3125b75632bab5eb35d13111dfaaa5fdc81d"},"schema_version":"1.0","source":{"id":"2406.15476","kind":"arxiv","version":1}},"canonical_sha256":"654c7bedc0ed7ddb7ea00ad8ce7d793cb02ab96bd241cf62fd190fb88df87fec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"654c7bedc0ed7ddb7ea00ad8ce7d793cb02ab96bd241cf62fd190fb88df87fec","first_computed_at":"2026-07-05T08:35:23.036574Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:23.036574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ccGHtxbWhgudwTuaGm7QL56Eim2+f4AitBdP9C9vtNX8hUpBGzuhbcI0MCnNf+zOeHBngf5umUVdfUPiyiTuCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:23.037024Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.15476","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:247353082b05b58ac9a7048080157d9283abbfdccaec0942108f14dc2a8316db","sha256:5e876636bb683aeb0c66386c70f0fd45c555a1bbab35e45ff1b586f204545bb1"],"state_sha256":"61a77fa7b2c135d18e98962dab808976a5f619b71e0fbe15ba947fe5c0f2e649"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k93IWxZVNjOUTBF/j9f3bC0k4vFCgsto4BWgRUAGlM2qjSdzDGvn88+saVjfyadX24GtIGBocQ014HNNNAm9BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T12:48:43.999810Z","bundle_sha256":"812e65eb0e7fcd328b5fcf0765ebf033e6451ee9d33f07b87f09e25db3886f8b"}}