{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:GSMYD5CI2HNRKX2XVCPNUYBZBR","short_pith_number":"pith:GSMYD5CI","canonical_record":{"source":{"id":"2306.15114","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-26T23:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"6399c51cc75afcb7f2cf8665883ca7523e3c40f66ddd0bb79c0b4ed9e6545ac9","abstract_canon_sha256":"19fcd3e9dcd970ef99abe3434684b13aea53d19d2e7a4d2305a1f7a71230b317"},"schema_version":"1.0"},"canonical_sha256":"349981f448d1db155f57a89eda60390c4247f882eea6ca283a9bf5a22ed956d6","source":{"kind":"arxiv","id":"2306.15114","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.15114","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"arxiv_version","alias_value":"2306.15114v1","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.15114","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"pith_short_12","alias_value":"GSMYD5CI2HNR","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"pith_short_16","alias_value":"GSMYD5CI2HNRKX2X","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"pith_short_8","alias_value":"GSMYD5CI","created_at":"2026-07-05T06:24:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:GSMYD5CI2HNRKX2XVCPNUYBZBR","target":"record","payload":{"canonical_record":{"source":{"id":"2306.15114","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-26T23:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"6399c51cc75afcb7f2cf8665883ca7523e3c40f66ddd0bb79c0b4ed9e6545ac9","abstract_canon_sha256":"19fcd3e9dcd970ef99abe3434684b13aea53d19d2e7a4d2305a1f7a71230b317"},"schema_version":"1.0"},"canonical_sha256":"349981f448d1db155f57a89eda60390c4247f882eea6ca283a9bf5a22ed956d6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:24:54.438829Z","signature_b64":"vRS64zIrSfbdXGnG+Y1Dr3gWMsYxsN5GmmvU1ywSIsXQQWlbpDfw2/TL9VkIQjVlW3wvowWimejbKMUGOnlgBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"349981f448d1db155f57a89eda60390c4247f882eea6ca283a9bf5a22ed956d6","last_reissued_at":"2026-07-05T06:24:54.438331Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:24:54.438331Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.15114","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":"2026-07-05T06:24:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L+EFJBA+l3IKg9lCf7gWUgzvLJmkUiKeRVQHsur9JkonE/ErEuzsBLIAbqkYlCyuVWcL0fFrKt2Gcl8wQl2dCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:09:33.296668Z"},"content_sha256":"c22486839269d0bfe927e123c660fd90dbd7e93c40ece4904112075b7d2b8900","schema_version":"1.0","event_id":"sha256:c22486839269d0bfe927e123c660fd90dbd7e93c40ece4904112075b7d2b8900"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:GSMYD5CI2HNRKX2XVCPNUYBZBR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transfer: Cross Modality Knowledge Transfer using Adversarial Networks -- A Study on Gesture Recognition","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ayan Banerjee, Payal Kamboj, Sandeep K.S. Gupta","submitted_at":"2023-06-26T23:47:59Z","abstract_excerpt":"Knowledge transfer across sensing technology is a novel concept that has been recently explored in many application domains, including gesture-based human computer interaction. The main aim is to gather semantic or data driven information from a source technology to classify / recognize instances of unseen classes in the target technology. The primary challenge is the significant difference in dimensionality and distribution of feature sets between the source and the target technologies. In this paper, we propose TRANSFER, a generic framework for knowledge transfer between a source and a targe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.15114","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/2306.15114/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":"2026-07-05T06:24:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/5UZu0lbrH5vMrurJoIx5q7QncfgxbgcBCfpO0kPGkwijLh3D3uSCGvGMXEGkZZzq77UfaCcWQ92okpfSzr8Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:09:33.297608Z"},"content_sha256":"b947599734e8dd7c4b48290a95d52cb45dfe91c345263143310a8f62052b99b9","schema_version":"1.0","event_id":"sha256:b947599734e8dd7c4b48290a95d52cb45dfe91c345263143310a8f62052b99b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GSMYD5CI2HNRKX2XVCPNUYBZBR/bundle.json","state_url":"https://pith.science/pith/GSMYD5CI2HNRKX2XVCPNUYBZBR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GSMYD5CI2HNRKX2XVCPNUYBZBR/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":"2026-08-13T23:09:33Z","links":{"resolver":"https://pith.science/pith/GSMYD5CI2HNRKX2XVCPNUYBZBR","bundle":"https://pith.science/pith/GSMYD5CI2HNRKX2XVCPNUYBZBR/bundle.json","state":"https://pith.science/pith/GSMYD5CI2HNRKX2XVCPNUYBZBR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GSMYD5CI2HNRKX2XVCPNUYBZBR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GSMYD5CI2HNRKX2XVCPNUYBZBR","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":"19fcd3e9dcd970ef99abe3434684b13aea53d19d2e7a4d2305a1f7a71230b317","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-26T23:47:59Z","title_canon_sha256":"6399c51cc75afcb7f2cf8665883ca7523e3c40f66ddd0bb79c0b4ed9e6545ac9"},"schema_version":"1.0","source":{"id":"2306.15114","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.15114","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"arxiv_version","alias_value":"2306.15114v1","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.15114","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"pith_short_12","alias_value":"GSMYD5CI2HNR","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"pith_short_16","alias_value":"GSMYD5CI2HNRKX2X","created_at":"2026-07-05T06:24:54Z"},{"alias_kind":"pith_short_8","alias_value":"GSMYD5CI","created_at":"2026-07-05T06:24:54Z"}],"graph_snapshots":[{"event_id":"sha256:b947599734e8dd7c4b48290a95d52cb45dfe91c345263143310a8f62052b99b9","target":"graph","created_at":"2026-07-05T06:24:54Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2306.15114/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge transfer across sensing technology is a novel concept that has been recently explored in many application domains, including gesture-based human computer interaction. The main aim is to gather semantic or data driven information from a source technology to classify / recognize instances of unseen classes in the target technology. The primary challenge is the significant difference in dimensionality and distribution of feature sets between the source and the target technologies. In this paper, we propose TRANSFER, a generic framework for knowledge transfer between a source and a targe","authors_text":"Ayan Banerjee, Payal Kamboj, Sandeep K.S. Gupta","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-26T23:47:59Z","title":"Transfer: Cross Modality Knowledge Transfer using Adversarial Networks -- A Study on Gesture Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.15114","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:c22486839269d0bfe927e123c660fd90dbd7e93c40ece4904112075b7d2b8900","target":"record","created_at":"2026-07-05T06:24:54Z","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":"19fcd3e9dcd970ef99abe3434684b13aea53d19d2e7a4d2305a1f7a71230b317","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-26T23:47:59Z","title_canon_sha256":"6399c51cc75afcb7f2cf8665883ca7523e3c40f66ddd0bb79c0b4ed9e6545ac9"},"schema_version":"1.0","source":{"id":"2306.15114","kind":"arxiv","version":1}},"canonical_sha256":"349981f448d1db155f57a89eda60390c4247f882eea6ca283a9bf5a22ed956d6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"349981f448d1db155f57a89eda60390c4247f882eea6ca283a9bf5a22ed956d6","first_computed_at":"2026-07-05T06:24:54.438331Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:24:54.438331Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vRS64zIrSfbdXGnG+Y1Dr3gWMsYxsN5GmmvU1ywSIsXQQWlbpDfw2/TL9VkIQjVlW3wvowWimejbKMUGOnlgBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:24:54.438829Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.15114","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c22486839269d0bfe927e123c660fd90dbd7e93c40ece4904112075b7d2b8900","sha256:b947599734e8dd7c4b48290a95d52cb45dfe91c345263143310a8f62052b99b9"],"state_sha256":"c8e5bb4f087dd47ed8a8a99ffbbb3c934c1e3c0b1a8442cbe9ee0ac14d377c3f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p7nwDBsQgxog7/MgQU36F2BM7H3V7AazKaMu2bpEZiKUYfxTa/pg7D0ejTn2hhuNPqTorrE6tHTLfE+VqKAUCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T23:09:33.329181Z","bundle_sha256":"23681edd3f650c515af7631caf9162417e926d1dbd20d790af93d9ad653a064c"}}