{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:D4552EXYLTWOJQOHNSTC37YMOG","short_pith_number":"pith:D4552EXY","canonical_record":{"source":{"id":"2010.14076","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T02:10:12Z","cross_cats_sorted":[],"title_canon_sha256":"1c0c3e4598a2f95d16f6c11490efcb8695e3b753aeb1246fa3af9e4c3ffd8ab4","abstract_canon_sha256":"d7784404a586bae1276cc2cc538533eed0019500d77656f176f654fb21cc8767"},"schema_version":"1.0"},"canonical_sha256":"1f3bdd12f85cece4c1c76ca62dff0c718d2c266de6001fbe027fb28a37f20861","source":{"kind":"arxiv","id":"2010.14076","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.14076","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"arxiv_version","alias_value":"2010.14076v1","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.14076","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"pith_short_12","alias_value":"D4552EXYLTWO","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"pith_short_16","alias_value":"D4552EXYLTWOJQOH","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"pith_short_8","alias_value":"D4552EXY","created_at":"2026-07-05T01:46:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:D4552EXYLTWOJQOHNSTC37YMOG","target":"record","payload":{"canonical_record":{"source":{"id":"2010.14076","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T02:10:12Z","cross_cats_sorted":[],"title_canon_sha256":"1c0c3e4598a2f95d16f6c11490efcb8695e3b753aeb1246fa3af9e4c3ffd8ab4","abstract_canon_sha256":"d7784404a586bae1276cc2cc538533eed0019500d77656f176f654fb21cc8767"},"schema_version":"1.0"},"canonical_sha256":"1f3bdd12f85cece4c1c76ca62dff0c718d2c266de6001fbe027fb28a37f20861","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:46:31.117960Z","signature_b64":"LipdtML3mF9rRrcz2/C4LJ9cHYa4y6zU4b8oYjTAKQaBhsjJVw1hfPfoHqHs+gbQqiMNnFwT3pEx/ZcGrWUqAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f3bdd12f85cece4c1c76ca62dff0c718d2c266de6001fbe027fb28a37f20861","last_reissued_at":"2026-07-05T01:46:31.117609Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:46:31.117609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.14076","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":"2026-07-05T01:46:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zUX4pBFzxlkz8aTunHvIkcuYExNwsBjgWShVcyp8eOtFtmeI+a0pPrhxqvUNCCfjg7ZPVIUgF2FXWZhQx5mrDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:49:09.071648Z"},"content_sha256":"602e6283d020c14261bfedac13330b86c37ceb47837c5d88fab6148ae205b6d6","schema_version":"1.0","event_id":"sha256:602e6283d020c14261bfedac13330b86c37ceb47837c5d88fab6148ae205b6d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:D4552EXYLTWOJQOHNSTC37YMOG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"$P^2$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haifeng Shen, Jian Tang, Jie Cao, Luanxuan Hou, Ran He, Yuan Zhao","submitted_at":"2020-10-26T02:10:12Z","abstract_excerpt":"We propose an augmented Parallel-Pyramid Net ($P^2~Net$) with feature refinement by dilated bottleneck and attention module. During data preprocessing, we proposed a differentiable auto data augmentation ($DA^2$) method. We formulate the problem of searching data augmentaion policy in a differentiable form, so that the optimal policy setting can be easily updated by back propagation during training. $DA^2$ improves the training efficiency. A parallel-pyramid structure is followed to compensate the information loss introduced by the network. We innovate two fusion structures, i.e. Parallel Fusi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.14076","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/2010.14076/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":"2026-07-05T01:46:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nTTJcaJV8Djd3ysjVIlIJNjoWdWUDEqH9wuu4hWBFzwpJIWGy1qhpi5ViYezuqGHWd9uX8ojdIQiQ5WoRg6iCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:49:09.072139Z"},"content_sha256":"a5c214653fba68fa998c55ad25662b8b0b4e7dfb35c2dca7f5fac1605e0cba49","schema_version":"1.0","event_id":"sha256:a5c214653fba68fa998c55ad25662b8b0b4e7dfb35c2dca7f5fac1605e0cba49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D4552EXYLTWOJQOHNSTC37YMOG/bundle.json","state_url":"https://pith.science/pith/D4552EXYLTWOJQOHNSTC37YMOG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D4552EXYLTWOJQOHNSTC37YMOG/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":"2026-08-03T16:49:09Z","links":{"resolver":"https://pith.science/pith/D4552EXYLTWOJQOHNSTC37YMOG","bundle":"https://pith.science/pith/D4552EXYLTWOJQOHNSTC37YMOG/bundle.json","state":"https://pith.science/pith/D4552EXYLTWOJQOHNSTC37YMOG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D4552EXYLTWOJQOHNSTC37YMOG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:D4552EXYLTWOJQOHNSTC37YMOG","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":"d7784404a586bae1276cc2cc538533eed0019500d77656f176f654fb21cc8767","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T02:10:12Z","title_canon_sha256":"1c0c3e4598a2f95d16f6c11490efcb8695e3b753aeb1246fa3af9e4c3ffd8ab4"},"schema_version":"1.0","source":{"id":"2010.14076","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.14076","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"arxiv_version","alias_value":"2010.14076v1","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.14076","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"pith_short_12","alias_value":"D4552EXYLTWO","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"pith_short_16","alias_value":"D4552EXYLTWOJQOH","created_at":"2026-07-05T01:46:31Z"},{"alias_kind":"pith_short_8","alias_value":"D4552EXY","created_at":"2026-07-05T01:46:31Z"}],"graph_snapshots":[{"event_id":"sha256:a5c214653fba68fa998c55ad25662b8b0b4e7dfb35c2dca7f5fac1605e0cba49","target":"graph","created_at":"2026-07-05T01:46:31Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2010.14076/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose an augmented Parallel-Pyramid Net ($P^2~Net$) with feature refinement by dilated bottleneck and attention module. During data preprocessing, we proposed a differentiable auto data augmentation ($DA^2$) method. We formulate the problem of searching data augmentaion policy in a differentiable form, so that the optimal policy setting can be easily updated by back propagation during training. $DA^2$ improves the training efficiency. A parallel-pyramid structure is followed to compensate the information loss introduced by the network. We innovate two fusion structures, i.e. Parallel Fusi","authors_text":"Haifeng Shen, Jian Tang, Jie Cao, Luanxuan Hou, Ran He, Yuan Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T02:10:12Z","title":"$P^2$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.14076","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":"sha256:602e6283d020c14261bfedac13330b86c37ceb47837c5d88fab6148ae205b6d6","target":"record","created_at":"2026-07-05T01:46:31Z","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":"d7784404a586bae1276cc2cc538533eed0019500d77656f176f654fb21cc8767","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T02:10:12Z","title_canon_sha256":"1c0c3e4598a2f95d16f6c11490efcb8695e3b753aeb1246fa3af9e4c3ffd8ab4"},"schema_version":"1.0","source":{"id":"2010.14076","kind":"arxiv","version":1}},"canonical_sha256":"1f3bdd12f85cece4c1c76ca62dff0c718d2c266de6001fbe027fb28a37f20861","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f3bdd12f85cece4c1c76ca62dff0c718d2c266de6001fbe027fb28a37f20861","first_computed_at":"2026-07-05T01:46:31.117609Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:46:31.117609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LipdtML3mF9rRrcz2/C4LJ9cHYa4y6zU4b8oYjTAKQaBhsjJVw1hfPfoHqHs+gbQqiMNnFwT3pEx/ZcGrWUqAA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:46:31.117960Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.14076","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:602e6283d020c14261bfedac13330b86c37ceb47837c5d88fab6148ae205b6d6","sha256:a5c214653fba68fa998c55ad25662b8b0b4e7dfb35c2dca7f5fac1605e0cba49"],"state_sha256":"355cba062f70d7bf4b1eeaf7f2ceb102804ea5642ce975dbe315338736a4ac59"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OdkJIKNYe/p+SGAm8kxRcUJMKwDqSKl3gTWi9yhPwM9Adcwu0ABWdBeVvvQJobBFaL1eWKBLt39rQbPv1FJODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:49:09.075830Z","bundle_sha256":"35637b18a60300621aa8166ae1b26d1771f7a8d0d0309a9576fea8c2b656902c"}}