{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XH4GLOEP3BBYLJQLDZMNDQZPGC","short_pith_number":"pith:XH4GLOEP","canonical_record":{"source":{"id":"2506.21080","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T08:09:16Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"e6bee3728fa3d0a27529a330117719b5794b48007291e2c37a848fcc660ba41d","abstract_canon_sha256":"6ef4dae6b6ad522b81e0623e9b11a5180edcf1b036e0f1673e0154352a1e1e35"},"schema_version":"1.0"},"canonical_sha256":"b9f865b88fd84385a60b1e58d1c32f30977b7112850f8798d92c413047d75f47","source":{"kind":"arxiv","id":"2506.21080","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21080","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21080v1","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21080","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"pith_short_12","alias_value":"XH4GLOEP3BBY","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"pith_short_16","alias_value":"XH4GLOEP3BBYLJQL","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"pith_short_8","alias_value":"XH4GLOEP","created_at":"2026-07-05T11:27:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XH4GLOEP3BBYLJQLDZMNDQZPGC","target":"record","payload":{"canonical_record":{"source":{"id":"2506.21080","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T08:09:16Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"e6bee3728fa3d0a27529a330117719b5794b48007291e2c37a848fcc660ba41d","abstract_canon_sha256":"6ef4dae6b6ad522b81e0623e9b11a5180edcf1b036e0f1673e0154352a1e1e35"},"schema_version":"1.0"},"canonical_sha256":"b9f865b88fd84385a60b1e58d1c32f30977b7112850f8798d92c413047d75f47","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:27:39.783875Z","signature_b64":"q71oezTXnIs8umSOfLaiToskPxo0E8tdat2QpuCDLBv6jcaxj4h+BSlHJ2x056zJFe1v9BwPHJ3P5nMvoDnUDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9f865b88fd84385a60b1e58d1c32f30977b7112850f8798d92c413047d75f47","last_reissued_at":"2026-07-05T11:27:39.783406Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:27:39.783406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.21080","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":"2026-07-05T11:27:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dluNM/KaplzhQwmuk2IBXCTMrrj66hR+aO1KubuDqdP/uKdhAGY4c7omJxDMmfqOOv0Ubx0QmS01CApfPhu1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:18:24.231928Z"},"content_sha256":"1a6edcc4aba5db10c22013c2e4f4d404a464e7e6f4b7e189fc484b5ce57d0f03","schema_version":"1.0","event_id":"sha256:1a6edcc4aba5db10c22013c2e4f4d404a464e7e6f4b7e189fc484b5ce57d0f03"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XH4GLOEP3BBYLJQLDZMNDQZPGC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Calvin Murdock, Dinesh Manocha, Ishwarya Ananthabhotla, Ruohan Gao, Sanjoy Chowdhury, Sayan Nag, Subrata Biswas, Tushar Nagarajan, Vamsi Krishna Ithapu, Yijun Qian","submitted_at":"2025-06-26T08:09:16Z","abstract_excerpt":"Modern perception models, particularly those designed for multisensory egocentric tasks, have achieved remarkable performance but often come with substantial computational costs. These high demands pose challenges for real-world deployment, especially in resource-constrained environments. In this paper, we introduce EgoAdapt, a framework that adaptively performs cross-modal distillation and policy learning to enable efficient inference across different egocentric perception tasks, including egocentric action recognition, active speaker localization, and behavior anticipation. Our proposed poli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21080","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/2506.21080/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":"2026-07-05T11:27:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wVBVLB+IX+gzzMffikrfIoijI4RjvNYuyKTIVf++oAUnm5v1vIM/Wc5zEqZD2mqhT0dZngy3GMYvxaeio0FwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:18:24.232463Z"},"content_sha256":"81d7f2727aa111f8164a917aece36bfc70e8af35a8a9919e008207ec553686a1","schema_version":"1.0","event_id":"sha256:81d7f2727aa111f8164a917aece36bfc70e8af35a8a9919e008207ec553686a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XH4GLOEP3BBYLJQLDZMNDQZPGC/bundle.json","state_url":"https://pith.science/pith/XH4GLOEP3BBYLJQLDZMNDQZPGC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XH4GLOEP3BBYLJQLDZMNDQZPGC/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":"2026-08-07T12:18:24Z","links":{"resolver":"https://pith.science/pith/XH4GLOEP3BBYLJQLDZMNDQZPGC","bundle":"https://pith.science/pith/XH4GLOEP3BBYLJQLDZMNDQZPGC/bundle.json","state":"https://pith.science/pith/XH4GLOEP3BBYLJQLDZMNDQZPGC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XH4GLOEP3BBYLJQLDZMNDQZPGC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XH4GLOEP3BBYLJQLDZMNDQZPGC","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":"6ef4dae6b6ad522b81e0623e9b11a5180edcf1b036e0f1673e0154352a1e1e35","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T08:09:16Z","title_canon_sha256":"e6bee3728fa3d0a27529a330117719b5794b48007291e2c37a848fcc660ba41d"},"schema_version":"1.0","source":{"id":"2506.21080","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21080","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21080v1","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21080","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"pith_short_12","alias_value":"XH4GLOEP3BBY","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"pith_short_16","alias_value":"XH4GLOEP3BBYLJQL","created_at":"2026-07-05T11:27:39Z"},{"alias_kind":"pith_short_8","alias_value":"XH4GLOEP","created_at":"2026-07-05T11:27:39Z"}],"graph_snapshots":[{"event_id":"sha256:81d7f2727aa111f8164a917aece36bfc70e8af35a8a9919e008207ec553686a1","target":"graph","created_at":"2026-07-05T11:27:39Z","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/2506.21080/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern perception models, particularly those designed for multisensory egocentric tasks, have achieved remarkable performance but often come with substantial computational costs. These high demands pose challenges for real-world deployment, especially in resource-constrained environments. In this paper, we introduce EgoAdapt, a framework that adaptively performs cross-modal distillation and policy learning to enable efficient inference across different egocentric perception tasks, including egocentric action recognition, active speaker localization, and behavior anticipation. Our proposed poli","authors_text":"Calvin Murdock, Dinesh Manocha, Ishwarya Ananthabhotla, Ruohan Gao, Sanjoy Chowdhury, Sayan Nag, Subrata Biswas, Tushar Nagarajan, Vamsi Krishna Ithapu, Yijun Qian","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T08:09:16Z","title":"EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21080","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":"sha256:1a6edcc4aba5db10c22013c2e4f4d404a464e7e6f4b7e189fc484b5ce57d0f03","target":"record","created_at":"2026-07-05T11:27:39Z","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":"6ef4dae6b6ad522b81e0623e9b11a5180edcf1b036e0f1673e0154352a1e1e35","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T08:09:16Z","title_canon_sha256":"e6bee3728fa3d0a27529a330117719b5794b48007291e2c37a848fcc660ba41d"},"schema_version":"1.0","source":{"id":"2506.21080","kind":"arxiv","version":1}},"canonical_sha256":"b9f865b88fd84385a60b1e58d1c32f30977b7112850f8798d92c413047d75f47","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9f865b88fd84385a60b1e58d1c32f30977b7112850f8798d92c413047d75f47","first_computed_at":"2026-07-05T11:27:39.783406Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:27:39.783406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q71oezTXnIs8umSOfLaiToskPxo0E8tdat2QpuCDLBv6jcaxj4h+BSlHJ2x056zJFe1v9BwPHJ3P5nMvoDnUDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:27:39.783875Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.21080","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a6edcc4aba5db10c22013c2e4f4d404a464e7e6f4b7e189fc484b5ce57d0f03","sha256:81d7f2727aa111f8164a917aece36bfc70e8af35a8a9919e008207ec553686a1"],"state_sha256":"0857bab5f36719609cb40f2703bdde372ef43114b7ebb4cf7a9759c706649a54"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1d7AXFx2Luyo+RQdjhPJQIEQ2MUg/fYlX7Owa7sbiSoRcqW+mgxvi+B6dUXuaRZwAdpVTr+Ds7H5Vbz3XCkMBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:18:24.236809Z","bundle_sha256":"530d945ef33ba65fcb3532a8579c6ec8e29531c96b1b040618c0c7726aecadb5"}}