{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:2IB2KNAKS5VFXRTDM437P2EY4V","short_pith_number":"pith:2IB2KNAK","canonical_record":{"source":{"id":"2211.00746","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-01T20:59:38Z","cross_cats_sorted":[],"title_canon_sha256":"0552a6eadc1b6ca85c4ef1d0cf363bff272a2c8e43f6602314d4c6574f04202b","abstract_canon_sha256":"317c8a346dce7252c1d74117d9c7423731d707b05ffb9ed189e8547bfed56269"},"schema_version":"1.0"},"canonical_sha256":"d203a5340a976a5bc6636737f7e898e558c4fdf5169d04a3a0c35fcdfc60ff54","source":{"kind":"arxiv","id":"2211.00746","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.00746","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"arxiv_version","alias_value":"2211.00746v1","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.00746","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"pith_short_12","alias_value":"2IB2KNAKS5VF","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"pith_short_16","alias_value":"2IB2KNAKS5VFXRTD","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"pith_short_8","alias_value":"2IB2KNAK","created_at":"2026-07-05T05:12:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:2IB2KNAKS5VFXRTDM437P2EY4V","target":"record","payload":{"canonical_record":{"source":{"id":"2211.00746","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-01T20:59:38Z","cross_cats_sorted":[],"title_canon_sha256":"0552a6eadc1b6ca85c4ef1d0cf363bff272a2c8e43f6602314d4c6574f04202b","abstract_canon_sha256":"317c8a346dce7252c1d74117d9c7423731d707b05ffb9ed189e8547bfed56269"},"schema_version":"1.0"},"canonical_sha256":"d203a5340a976a5bc6636737f7e898e558c4fdf5169d04a3a0c35fcdfc60ff54","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:12:34.326033Z","signature_b64":"dXzlTc5uQE3JX9eXWDW6Bz6+o1t/roKkin1qNh3o6FBAR8f3Znt8zEW+Vq5fD008Fbvz52Z18WowcufpHUX4BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d203a5340a976a5bc6636737f7e898e558c4fdf5169d04a3a0c35fcdfc60ff54","last_reissued_at":"2026-07-05T05:12:34.325556Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:12:34.325556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.00746","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":"2026-07-05T05:12:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rYgNLb0K8JjbedR6409KqTFBX7JmxJ0wAVGSZbP1orE6RKc72xPb2zvUJnOZlTJTsg4Yaruv311I3uQ1GPWgCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:26:57.907856Z"},"content_sha256":"5c81d98510a3ccc621da81c6ff08dae712e299bf54e793941c5958305c39a353","schema_version":"1.0","event_id":"sha256:5c81d98510a3ccc621da81c6ff08dae712e299bf54e793941c5958305c39a353"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:2IB2KNAKS5VFXRTDM437P2EY4V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ajmal Mian, Jyoti Kini, Mubarak Shah","submitted_at":"2022-11-01T20:59:38Z","abstract_excerpt":"We propose a method for joint detection and tracking of multiple objects in 3D point clouds, a task conventionally treated as a two-step process comprising object detection followed by data association. Our method embeds both steps into a single end-to-end trainable network eliminating the dependency on external object detectors. Our model exploits temporal information employing multiple frames to detect objects and track them in a single network, thereby making it a utilitarian formulation for real-world scenarios. Computing affinity matrix by employing features similarity across consecutive "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.00746","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/2211.00746/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":"2026-07-05T05:12:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hm+iNRVz5Hen1clHcBg3Qk+FziDZDhR1Agrkd62EHUQekdMlylBR822+N1uxQPe4aymfXZk8NYlhGblM7J2+Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:26:57.908229Z"},"content_sha256":"5030b04a6eeac74352f35f8315ffd69301e4d360487b37831b58079573e73065","schema_version":"1.0","event_id":"sha256:5030b04a6eeac74352f35f8315ffd69301e4d360487b37831b58079573e73065"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2IB2KNAKS5VFXRTDM437P2EY4V/bundle.json","state_url":"https://pith.science/pith/2IB2KNAKS5VFXRTDM437P2EY4V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2IB2KNAKS5VFXRTDM437P2EY4V/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":"2026-07-07T02:26:57Z","links":{"resolver":"https://pith.science/pith/2IB2KNAKS5VFXRTDM437P2EY4V","bundle":"https://pith.science/pith/2IB2KNAKS5VFXRTDM437P2EY4V/bundle.json","state":"https://pith.science/pith/2IB2KNAKS5VFXRTDM437P2EY4V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2IB2KNAKS5VFXRTDM437P2EY4V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2IB2KNAKS5VFXRTDM437P2EY4V","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":"317c8a346dce7252c1d74117d9c7423731d707b05ffb9ed189e8547bfed56269","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-01T20:59:38Z","title_canon_sha256":"0552a6eadc1b6ca85c4ef1d0cf363bff272a2c8e43f6602314d4c6574f04202b"},"schema_version":"1.0","source":{"id":"2211.00746","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.00746","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"arxiv_version","alias_value":"2211.00746v1","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.00746","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"pith_short_12","alias_value":"2IB2KNAKS5VF","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"pith_short_16","alias_value":"2IB2KNAKS5VFXRTD","created_at":"2026-07-05T05:12:34Z"},{"alias_kind":"pith_short_8","alias_value":"2IB2KNAK","created_at":"2026-07-05T05:12:34Z"}],"graph_snapshots":[{"event_id":"sha256:5030b04a6eeac74352f35f8315ffd69301e4d360487b37831b58079573e73065","target":"graph","created_at":"2026-07-05T05:12:34Z","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/2211.00746/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a method for joint detection and tracking of multiple objects in 3D point clouds, a task conventionally treated as a two-step process comprising object detection followed by data association. Our method embeds both steps into a single end-to-end trainable network eliminating the dependency on external object detectors. Our model exploits temporal information employing multiple frames to detect objects and track them in a single network, thereby making it a utilitarian formulation for real-world scenarios. Computing affinity matrix by employing features similarity across consecutive ","authors_text":"Ajmal Mian, Jyoti Kini, Mubarak Shah","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-01T20:59:38Z","title":"3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.00746","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":"sha256:5c81d98510a3ccc621da81c6ff08dae712e299bf54e793941c5958305c39a353","target":"record","created_at":"2026-07-05T05:12:34Z","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":"317c8a346dce7252c1d74117d9c7423731d707b05ffb9ed189e8547bfed56269","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-01T20:59:38Z","title_canon_sha256":"0552a6eadc1b6ca85c4ef1d0cf363bff272a2c8e43f6602314d4c6574f04202b"},"schema_version":"1.0","source":{"id":"2211.00746","kind":"arxiv","version":1}},"canonical_sha256":"d203a5340a976a5bc6636737f7e898e558c4fdf5169d04a3a0c35fcdfc60ff54","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d203a5340a976a5bc6636737f7e898e558c4fdf5169d04a3a0c35fcdfc60ff54","first_computed_at":"2026-07-05T05:12:34.325556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:12:34.325556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dXzlTc5uQE3JX9eXWDW6Bz6+o1t/roKkin1qNh3o6FBAR8f3Znt8zEW+Vq5fD008Fbvz52Z18WowcufpHUX4BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:12:34.326033Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.00746","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c81d98510a3ccc621da81c6ff08dae712e299bf54e793941c5958305c39a353","sha256:5030b04a6eeac74352f35f8315ffd69301e4d360487b37831b58079573e73065"],"state_sha256":"70477564f3a1aa0fa5247133e7138ede4a0d4d407a02d9e32d34d32c2c9001f7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j2WILn1PZFEI+DGV6DXKuHTS3tg4dtktkB45QoPS4qApMJ3HUbIo23TWiVGlH/iyRD/2hwEKz9hrRLZFG2rHBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T02:26:57.910427Z","bundle_sha256":"90cbf842ef3f5a8ae54176891414150015b8a8e4085b904ee9b4633cefc533e8"}}