{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:6OIQZ4RXPWXY343IFOBJAF7R6K","short_pith_number":"pith:6OIQZ4RX","canonical_record":{"source":{"id":"1804.09534","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T13:16:26Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"968f06baa6ba6264c2e20bd973a7d3386d5aaa1774ca65ba02bb7759694bfcf3","abstract_canon_sha256":"89f5b65e58597eb75d538a06a58695f576a09559e6df8b50bb219f04e7ea8e20"},"schema_version":"1.0"},"canonical_sha256":"f3910cf2377daf8df3682b829017f1f2a1a740da790ecf53e8debfc568c75733","source":{"kind":"arxiv","id":"1804.09534","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.09534","created_at":"2026-05-18T00:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"1804.09534v1","created_at":"2026-05-18T00:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.09534","created_at":"2026-05-18T00:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"6OIQZ4RXPWXY","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"6OIQZ4RXPWXY343I","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"6OIQZ4RX","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:6OIQZ4RXPWXY343IFOBJAF7R6K","target":"record","payload":{"canonical_record":{"source":{"id":"1804.09534","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T13:16:26Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"968f06baa6ba6264c2e20bd973a7d3386d5aaa1774ca65ba02bb7759694bfcf3","abstract_canon_sha256":"89f5b65e58597eb75d538a06a58695f576a09559e6df8b50bb219f04e7ea8e20"},"schema_version":"1.0"},"canonical_sha256":"f3910cf2377daf8df3682b829017f1f2a1a740da790ecf53e8debfc568c75733","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:31.520576Z","signature_b64":"PeGhCbq6mVdfpE5pR7bONIIu7P24FMpLp4t0xKjq/VozlLgux4ED46n+yJ7rAqjQS1Durtj4kCV5qHLw4XpGBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3910cf2377daf8df3682b829017f1f2a1a740da790ecf53e8debfc568c75733","last_reissued_at":"2026-05-18T00:17:31.519972Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:31.519972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.09534","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":"2026-05-18T00:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NxM+yLV6II1VcFonuciW0vxDCUN2EgM1aE5FeMyxoc+AcCXVe98crYFl8x3qqknLdnWfPts9BVMSS3Mig7XXDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:17:28.078346Z"},"content_sha256":"18bfcd97d7257ca04e6a136674a92cc6eae276afae040b8dc3a881bd4c61e583","schema_version":"1.0","event_id":"sha256:18bfcd97d7257ca04e6a136674a92cc6eae276afae040b8dc3a881bd4c61e583"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:6OIQZ4RXPWXY343IFOBJAF7R6K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hand Pose Estimation via Latent 2.5D Heatmap Regression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Jan Kautz, Juergen Gall, Pavlo Molchanov, Thomas Breuel, Umar Iqbal","submitted_at":"2018-04-25T13:16:26Z","abstract_excerpt":"Estimating the 3D pose of a hand is an essential part of human-computer interaction. Estimating 3D pose using depth or multi-view sensors has become easier with recent advances in computer vision, however, regressing pose from a single RGB image is much less straightforward. The main difficulty arises from the fact that 3D pose requires some form of depth estimates, which are ambiguous given only an RGB image. In this paper we propose a new method for 3D hand pose estimation from a monocular image through a novel 2.5D pose representation. Our new representation estimates pose up to a scaling f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.09534","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":"2026-05-18T00:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"myqx7edZTvcH4sDcjjgQISwTd+z2wUPJcKnrCwJbIf9fAIT5WcOs8GK2WIlSZPnWYbb1QtiZTuYTqXBPekbYDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:17:28.078697Z"},"content_sha256":"a9d9472d09c3867429b1cc41c9d9e7caf6f196679cbdaf48c9359adc625fd4cf","schema_version":"1.0","event_id":"sha256:a9d9472d09c3867429b1cc41c9d9e7caf6f196679cbdaf48c9359adc625fd4cf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6OIQZ4RXPWXY343IFOBJAF7R6K/bundle.json","state_url":"https://pith.science/pith/6OIQZ4RXPWXY343IFOBJAF7R6K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6OIQZ4RXPWXY343IFOBJAF7R6K/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":"2026-05-28T06:17:28Z","links":{"resolver":"https://pith.science/pith/6OIQZ4RXPWXY343IFOBJAF7R6K","bundle":"https://pith.science/pith/6OIQZ4RXPWXY343IFOBJAF7R6K/bundle.json","state":"https://pith.science/pith/6OIQZ4RXPWXY343IFOBJAF7R6K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6OIQZ4RXPWXY343IFOBJAF7R6K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6OIQZ4RXPWXY343IFOBJAF7R6K","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":"89f5b65e58597eb75d538a06a58695f576a09559e6df8b50bb219f04e7ea8e20","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T13:16:26Z","title_canon_sha256":"968f06baa6ba6264c2e20bd973a7d3386d5aaa1774ca65ba02bb7759694bfcf3"},"schema_version":"1.0","source":{"id":"1804.09534","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.09534","created_at":"2026-05-18T00:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"1804.09534v1","created_at":"2026-05-18T00:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.09534","created_at":"2026-05-18T00:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"6OIQZ4RXPWXY","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"6OIQZ4RXPWXY343I","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"6OIQZ4RX","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:a9d9472d09c3867429b1cc41c9d9e7caf6f196679cbdaf48c9359adc625fd4cf","target":"graph","created_at":"2026-05-18T00:17:31Z","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":"Estimating the 3D pose of a hand is an essential part of human-computer interaction. Estimating 3D pose using depth or multi-view sensors has become easier with recent advances in computer vision, however, regressing pose from a single RGB image is much less straightforward. The main difficulty arises from the fact that 3D pose requires some form of depth estimates, which are ambiguous given only an RGB image. In this paper we propose a new method for 3D hand pose estimation from a monocular image through a novel 2.5D pose representation. Our new representation estimates pose up to a scaling f","authors_text":"Jan Kautz, Juergen Gall, Pavlo Molchanov, Thomas Breuel, Umar Iqbal","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T13:16:26Z","title":"Hand Pose Estimation via Latent 2.5D Heatmap Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.09534","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":"sha256:18bfcd97d7257ca04e6a136674a92cc6eae276afae040b8dc3a881bd4c61e583","target":"record","created_at":"2026-05-18T00:17:31Z","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":"89f5b65e58597eb75d538a06a58695f576a09559e6df8b50bb219f04e7ea8e20","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T13:16:26Z","title_canon_sha256":"968f06baa6ba6264c2e20bd973a7d3386d5aaa1774ca65ba02bb7759694bfcf3"},"schema_version":"1.0","source":{"id":"1804.09534","kind":"arxiv","version":1}},"canonical_sha256":"f3910cf2377daf8df3682b829017f1f2a1a740da790ecf53e8debfc568c75733","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3910cf2377daf8df3682b829017f1f2a1a740da790ecf53e8debfc568c75733","first_computed_at":"2026-05-18T00:17:31.519972Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:31.519972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PeGhCbq6mVdfpE5pR7bONIIu7P24FMpLp4t0xKjq/VozlLgux4ED46n+yJ7rAqjQS1Durtj4kCV5qHLw4XpGBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:31.520576Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.09534","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:18bfcd97d7257ca04e6a136674a92cc6eae276afae040b8dc3a881bd4c61e583","sha256:a9d9472d09c3867429b1cc41c9d9e7caf6f196679cbdaf48c9359adc625fd4cf"],"state_sha256":"8d2321fa35739445fff676e6b72c230dac2739dd094776bf661ffd87ae1889e5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mYPkp3X4cz9OOolSe14ZZ3SzVBhBtGvqW0KlyNzgJVdiZBEzsJANcWaO9zIvC1zCuG14xhlubS/5n+ioJANdBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T06:17:28.080898Z","bundle_sha256":"4288cf724830ffad1e27b121d1755c6f50803e75e33460a7f32c1173120cfd20"}}