{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AEH4JGC6HS37I3SSGTTX4ZFALF","short_pith_number":"pith:AEH4JGC6","canonical_record":{"source":{"id":"2402.08774","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T20:16:31Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"cdfcbbe26fe864810df064d31ac40fb5c69c69896de703ff4887204744835349","abstract_canon_sha256":"676f0dc236b82c91d55c638371144b69cadc9d1692dcbee206cd2105d37f5146"},"schema_version":"1.0"},"canonical_sha256":"010fc4985e3cb7f46e5234e77e64a05941734ff970b3d48133facf0e6aedff7d","source":{"kind":"arxiv","id":"2402.08774","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.08774","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"arxiv_version","alias_value":"2402.08774v3","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.08774","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"pith_short_12","alias_value":"AEH4JGC6HS37","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"AEH4JGC6HS37I3SS","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"AEH4JGC6","created_at":"2026-07-05T09:31:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AEH4JGC6HS37I3SSGTTX4ZFALF","target":"record","payload":{"canonical_record":{"source":{"id":"2402.08774","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T20:16:31Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"cdfcbbe26fe864810df064d31ac40fb5c69c69896de703ff4887204744835349","abstract_canon_sha256":"676f0dc236b82c91d55c638371144b69cadc9d1692dcbee206cd2105d37f5146"},"schema_version":"1.0"},"canonical_sha256":"010fc4985e3cb7f46e5234e77e64a05941734ff970b3d48133facf0e6aedff7d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:31:43.662618Z","signature_b64":"SXuHSZq52jywRv9o0+LKhs4Xpl8fNFf5CQfKeesQdvKtH+pTLPLwAhBpJ4ymqmT9222Kkq2jfOowrMj2wudyDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"010fc4985e3cb7f46e5234e77e64a05941734ff970b3d48133facf0e6aedff7d","last_reissued_at":"2026-07-05T09:31:43.662121Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:31:43.662121Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.08774","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:31:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"agFSl9L4gu/Aoc/ojjgn+YuMhop40mwNoaeOo4xMgIdQ0h3D0amvCpA4B71/svVCK5O40GfSL2bFPposK7AqCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:17:44.791072Z"},"content_sha256":"d7981bfafe2f8ed82bd15c90252412555cb7735b2cae49f792d9cca99a668b2c","schema_version":"1.0","event_id":"sha256:d7981bfafe2f8ed82bd15c90252412555cb7735b2cae49f792d9cca99a668b2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AEH4JGC6HS37I3SSGTTX4ZFALF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LDTrack: Dynamic People Tracking by Service Robots using Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Angus Fung, Beno Benhabib, Goldie Nejat","submitted_at":"2024-02-13T20:16:31Z","abstract_excerpt":"Tracking of dynamic people in cluttered and crowded human-centered environments is a challenging robotics problem due to the presence of intraclass variations including occlusions, pose deformations, and lighting variations. This paper introduces a novel deep learning architecture, using conditional latent diffusion models, the Latent Diffusion Track (LDTrack), for tracking multiple dynamic people under intraclass variations. By uniquely utilizing conditional latent diffusion models to capture temporal person embeddings, our architecture can adapt to appearance changes of people over time. We "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.08774","kind":"arxiv","version":3},"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/2402.08774/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":"2026-07-05T09:31:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b3EiJRRxmOnb0wNxfCAg9k8cEd7o86j6M3ri2LjTrEhPFwWlsUiyWIjaf6eyeUIGV33UXrBy4jeneRE5VYIUCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:17:44.791466Z"},"content_sha256":"4a4de7b797f5ea7472ffe6d05242080260f721b137709c7ece14933804f4e843","schema_version":"1.0","event_id":"sha256:4a4de7b797f5ea7472ffe6d05242080260f721b137709c7ece14933804f4e843"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AEH4JGC6HS37I3SSGTTX4ZFALF/bundle.json","state_url":"https://pith.science/pith/AEH4JGC6HS37I3SSGTTX4ZFALF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AEH4JGC6HS37I3SSGTTX4ZFALF/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":"2026-07-07T12:17:44Z","links":{"resolver":"https://pith.science/pith/AEH4JGC6HS37I3SSGTTX4ZFALF","bundle":"https://pith.science/pith/AEH4JGC6HS37I3SSGTTX4ZFALF/bundle.json","state":"https://pith.science/pith/AEH4JGC6HS37I3SSGTTX4ZFALF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AEH4JGC6HS37I3SSGTTX4ZFALF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AEH4JGC6HS37I3SSGTTX4ZFALF","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":"676f0dc236b82c91d55c638371144b69cadc9d1692dcbee206cd2105d37f5146","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T20:16:31Z","title_canon_sha256":"cdfcbbe26fe864810df064d31ac40fb5c69c69896de703ff4887204744835349"},"schema_version":"1.0","source":{"id":"2402.08774","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.08774","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"arxiv_version","alias_value":"2402.08774v3","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.08774","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"pith_short_12","alias_value":"AEH4JGC6HS37","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"AEH4JGC6HS37I3SS","created_at":"2026-07-05T09:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"AEH4JGC6","created_at":"2026-07-05T09:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:4a4de7b797f5ea7472ffe6d05242080260f721b137709c7ece14933804f4e843","target":"graph","created_at":"2026-07-05T09:31:43Z","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/2402.08774/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tracking of dynamic people in cluttered and crowded human-centered environments is a challenging robotics problem due to the presence of intraclass variations including occlusions, pose deformations, and lighting variations. This paper introduces a novel deep learning architecture, using conditional latent diffusion models, the Latent Diffusion Track (LDTrack), for tracking multiple dynamic people under intraclass variations. By uniquely utilizing conditional latent diffusion models to capture temporal person embeddings, our architecture can adapt to appearance changes of people over time. We ","authors_text":"Angus Fung, Beno Benhabib, Goldie Nejat","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T20:16:31Z","title":"LDTrack: Dynamic People Tracking by Service Robots using Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.08774","kind":"arxiv","version":3},"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:d7981bfafe2f8ed82bd15c90252412555cb7735b2cae49f792d9cca99a668b2c","target":"record","created_at":"2026-07-05T09:31:43Z","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":"676f0dc236b82c91d55c638371144b69cadc9d1692dcbee206cd2105d37f5146","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T20:16:31Z","title_canon_sha256":"cdfcbbe26fe864810df064d31ac40fb5c69c69896de703ff4887204744835349"},"schema_version":"1.0","source":{"id":"2402.08774","kind":"arxiv","version":3}},"canonical_sha256":"010fc4985e3cb7f46e5234e77e64a05941734ff970b3d48133facf0e6aedff7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"010fc4985e3cb7f46e5234e77e64a05941734ff970b3d48133facf0e6aedff7d","first_computed_at":"2026-07-05T09:31:43.662121Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:31:43.662121Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SXuHSZq52jywRv9o0+LKhs4Xpl8fNFf5CQfKeesQdvKtH+pTLPLwAhBpJ4ymqmT9222Kkq2jfOowrMj2wudyDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:31:43.662618Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.08774","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7981bfafe2f8ed82bd15c90252412555cb7735b2cae49f792d9cca99a668b2c","sha256:4a4de7b797f5ea7472ffe6d05242080260f721b137709c7ece14933804f4e843"],"state_sha256":"b89a864e8ef995f94b79d11142e050f386863d87ceffc5ce6208833a9f4b3816"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ogxxpxU6+7xHzOW/tQ+dq9xLS9kcgVZkobhow+CHHz8aAsWw5yHBLiMF/9+BTyxQAFG4vZaHpSX0VqehQfKsCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:17:44.793406Z","bundle_sha256":"92ceea5b200548c33a8c77a06a659914d2bed54b45c373e9ba4b4483fc5f01d3"}}