{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XEDMTC6UAWJ55BWMUL3XI4A4HT","short_pith_number":"pith:XEDMTC6U","canonical_record":{"source":{"id":"2506.13027","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T01:34:13Z","cross_cats_sorted":[],"title_canon_sha256":"63aa10f38f8ae5f6ec0910dace18a66aae1946c0d8b89821da9a69fdae3037f5","abstract_canon_sha256":"71d5e9cdc98fecda035133212c939a31888073328301bd5e6cd59c693e189857"},"schema_version":"1.0"},"canonical_sha256":"b906c98bd40593de86cca2f774701c3ce95960775259c9e9fd8fb332204af650","source":{"kind":"arxiv","id":"2506.13027","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13027","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13027v2","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13027","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"pith_short_12","alias_value":"XEDMTC6UAWJ5","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"pith_short_16","alias_value":"XEDMTC6UAWJ55BWM","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"pith_short_8","alias_value":"XEDMTC6U","created_at":"2026-07-03T01:17:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XEDMTC6UAWJ55BWMUL3XI4A4HT","target":"record","payload":{"canonical_record":{"source":{"id":"2506.13027","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T01:34:13Z","cross_cats_sorted":[],"title_canon_sha256":"63aa10f38f8ae5f6ec0910dace18a66aae1946c0d8b89821da9a69fdae3037f5","abstract_canon_sha256":"71d5e9cdc98fecda035133212c939a31888073328301bd5e6cd59c693e189857"},"schema_version":"1.0"},"canonical_sha256":"b906c98bd40593de86cca2f774701c3ce95960775259c9e9fd8fb332204af650","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T01:17:11.876902Z","signature_b64":"9ypYMZbX0LXP46QVDXorx8PVpXULY99vSjf4HhhUuBUG5JRh5WbZ62l0i1qO0ME/X1nZwm0YBPzjvcUFIQeRAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b906c98bd40593de86cca2f774701c3ce95960775259c9e9fd8fb332204af650","last_reissued_at":"2026-07-03T01:17:11.876417Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T01:17:11.876417Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.13027","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-03T01:17:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JeRpGqEVdLKjqv8Wh6c2S3Icq8Dny/L3zWvF316ephhUByy9qUuo112GpqE/Peiwd6IcNUOwJFcTkJW1XsC7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:59:10.248565Z"},"content_sha256":"841dc4de09f8ca63e7eb255efb49b2ccf40e5176ad8e8a593e1fa0043fed9568","schema_version":"1.0","event_id":"sha256:841dc4de09f8ca63e7eb255efb49b2ccf40e5176ad8e8a593e1fa0043fed9568"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XEDMTC6UAWJ55BWMUL3XI4A4HT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Marios Pattichis, Sebastian Janampa","submitted_at":"2025-06-16T01:34:13Z","abstract_excerpt":"Multi-person pose estimation (MPPE), which involves detecting body joint positions (keypoints) for every person in an image, is a fundamental task in computer vision. Despite recent advances, no transformer-based model currently achieves real-time performance. This work addresses the latency challenge by introducing DETRPose, the first family of real-time, end-to-end transformer models for multi-person 2D pose estimation. DETRPose significantly enhances the GroupPose decoder, enabling real-time inference. For training, a novel denoising keypoint technique is proposed to accelerate convergence."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13027","kind":"arxiv","version":2},"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/2506.13027/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":"2026-07-03T01:17:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4RAvltvk4E1b8pGOl/s+GTec/wom7wBB6DQwyXZebKi06UePTmbDL3ybUFqvi49QTKKEklK8Ev5IuZAEaTxtBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:59:10.249047Z"},"content_sha256":"b69e4cba43b56570127ead643048c84bd39cfe64dba19ea6007fdf8914a87117","schema_version":"1.0","event_id":"sha256:b69e4cba43b56570127ead643048c84bd39cfe64dba19ea6007fdf8914a87117"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XEDMTC6UAWJ55BWMUL3XI4A4HT/bundle.json","state_url":"https://pith.science/pith/XEDMTC6UAWJ55BWMUL3XI4A4HT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XEDMTC6UAWJ55BWMUL3XI4A4HT/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":"2026-08-08T13:59:10Z","links":{"resolver":"https://pith.science/pith/XEDMTC6UAWJ55BWMUL3XI4A4HT","bundle":"https://pith.science/pith/XEDMTC6UAWJ55BWMUL3XI4A4HT/bundle.json","state":"https://pith.science/pith/XEDMTC6UAWJ55BWMUL3XI4A4HT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XEDMTC6UAWJ55BWMUL3XI4A4HT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XEDMTC6UAWJ55BWMUL3XI4A4HT","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":"71d5e9cdc98fecda035133212c939a31888073328301bd5e6cd59c693e189857","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T01:34:13Z","title_canon_sha256":"63aa10f38f8ae5f6ec0910dace18a66aae1946c0d8b89821da9a69fdae3037f5"},"schema_version":"1.0","source":{"id":"2506.13027","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13027","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13027v2","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13027","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"pith_short_12","alias_value":"XEDMTC6UAWJ5","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"pith_short_16","alias_value":"XEDMTC6UAWJ55BWM","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"pith_short_8","alias_value":"XEDMTC6U","created_at":"2026-07-03T01:17:11Z"}],"graph_snapshots":[{"event_id":"sha256:b69e4cba43b56570127ead643048c84bd39cfe64dba19ea6007fdf8914a87117","target":"graph","created_at":"2026-07-03T01:17:11Z","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/2506.13027/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-person pose estimation (MPPE), which involves detecting body joint positions (keypoints) for every person in an image, is a fundamental task in computer vision. Despite recent advances, no transformer-based model currently achieves real-time performance. This work addresses the latency challenge by introducing DETRPose, the first family of real-time, end-to-end transformer models for multi-person 2D pose estimation. DETRPose significantly enhances the GroupPose decoder, enabling real-time inference. For training, a novel denoising keypoint technique is proposed to accelerate convergence.","authors_text":"Marios Pattichis, Sebastian Janampa","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T01:34:13Z","title":"DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13027","kind":"arxiv","version":2},"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":"sha256:841dc4de09f8ca63e7eb255efb49b2ccf40e5176ad8e8a593e1fa0043fed9568","target":"record","created_at":"2026-07-03T01:17:11Z","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":"71d5e9cdc98fecda035133212c939a31888073328301bd5e6cd59c693e189857","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T01:34:13Z","title_canon_sha256":"63aa10f38f8ae5f6ec0910dace18a66aae1946c0d8b89821da9a69fdae3037f5"},"schema_version":"1.0","source":{"id":"2506.13027","kind":"arxiv","version":2}},"canonical_sha256":"b906c98bd40593de86cca2f774701c3ce95960775259c9e9fd8fb332204af650","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b906c98bd40593de86cca2f774701c3ce95960775259c9e9fd8fb332204af650","first_computed_at":"2026-07-03T01:17:11.876417Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:11.876417Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9ypYMZbX0LXP46QVDXorx8PVpXULY99vSjf4HhhUuBUG5JRh5WbZ62l0i1qO0ME/X1nZwm0YBPzjvcUFIQeRAA==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:11.876902Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13027","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:841dc4de09f8ca63e7eb255efb49b2ccf40e5176ad8e8a593e1fa0043fed9568","sha256:b69e4cba43b56570127ead643048c84bd39cfe64dba19ea6007fdf8914a87117"],"state_sha256":"68d0d6728f82bee5c35d2aa179c3c22f9dda904fc24f24b3cd0bc44552369522"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+00OG+AGm2rHLbxJngAlFTRDaJkbxaP4KHoNd5fxoDD5Z/N/d/CFIIzIUSR7Afnm5PkmcVJKK6xBMOuJt5ASDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:59:10.253802Z","bundle_sha256":"b1b9216534ef4f58bd7185c3c446d2895868710d39d928929ecfb0c2e785cb1a"}}