{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:E2MHQ67EZGA5522OIAD3QQUUQ4","short_pith_number":"pith:E2MHQ67E","canonical_record":{"source":{"id":"2606.17334","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T22:32:09Z","cross_cats_sorted":[],"title_canon_sha256":"ebf320ae9e3428c7a8ae23ee266cf36c5303745d0a099bab3af99dc0f4a52881","abstract_canon_sha256":"1426fc13d7acc08e484500a3b7b8fc6b882905d6d2a170988c929b3f09e35fb3"},"schema_version":"1.0"},"canonical_sha256":"2698787be4c981deeb4e4007b84294872f1337e9f5327ddf8666bacc93442e67","source":{"kind":"arxiv","id":"2606.17334","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.17334","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"arxiv_version","alias_value":"2606.17334v1","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17334","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"pith_short_12","alias_value":"E2MHQ67EZGA5","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"pith_short_16","alias_value":"E2MHQ67EZGA5522O","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"pith_short_8","alias_value":"E2MHQ67E","created_at":"2026-06-19T16:10:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:E2MHQ67EZGA5522OIAD3QQUUQ4","target":"record","payload":{"canonical_record":{"source":{"id":"2606.17334","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T22:32:09Z","cross_cats_sorted":[],"title_canon_sha256":"ebf320ae9e3428c7a8ae23ee266cf36c5303745d0a099bab3af99dc0f4a52881","abstract_canon_sha256":"1426fc13d7acc08e484500a3b7b8fc6b882905d6d2a170988c929b3f09e35fb3"},"schema_version":"1.0"},"canonical_sha256":"2698787be4c981deeb4e4007b84294872f1337e9f5327ddf8666bacc93442e67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:09.517535Z","signature_b64":"umuQCoHOn4NP8dNGLqQ4PGD8XguK/jZLhE9SuevyLWPFzWVT8ZYXSvC1JpWwTG1KW4CyRkCtvvFfGCnbsWfLCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2698787be4c981deeb4e4007b84294872f1337e9f5327ddf8666bacc93442e67","last_reissued_at":"2026-06-19T16:10:09.517048Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:09.517048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.17334","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":"2026-06-19T16:10:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aggU57CG74Tdoi10WIhpykKmWVKX/OL7gmIj2L4bQoTjC0r5auBKFHoJ2W4fsOHaYj7w4m3dlBKgAqVGvvSLBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T19:31:32.295853Z"},"content_sha256":"a7866d67d488f978eb8567abc996d0b2796d64dd4449814474881f3930b65650","schema_version":"1.0","event_id":"sha256:a7866d67d488f978eb8567abc996d0b2796d64dd4449814474881f3930b65650"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:E2MHQ67EZGA5522OIAD3QQUUQ4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kyoung-Don Kang, Md Tawheedul Islam Bhuian","submitted_at":"2026-06-15T22:32:09Z","abstract_excerpt":"Event cameras are bio-inspired sensors that asynchronously capture logarithmic intensity changes, offering inherent advantages in high-speed and high-dynamic-range scenarios. However, the sparse and asynchronous nature of event streams poses a fundamental challenge for modern deep learning architectures. To enable compatibility with standard models, most existing approaches partition the accumulation window into fixed temporal sub-bins. While effective for spatial processing, this internal discretization discards fine-grained temporal structure and constrains inference to the low temporal freq"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17334","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/2606.17334/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":"2026-06-19T16:10:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OJoeqkJo9oM9WjHfLbIwFst8pRLfcQdv7VfmuYeb8DidelQVrVXhV8OUUKIpL09RDWlGxME7j1LZF6D5VK/VCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T19:31:32.296216Z"},"content_sha256":"0627329dd1771c85463de5772462a255be3a15f359a87a9da783556708ac7730","schema_version":"1.0","event_id":"sha256:0627329dd1771c85463de5772462a255be3a15f359a87a9da783556708ac7730"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E2MHQ67EZGA5522OIAD3QQUUQ4/bundle.json","state_url":"https://pith.science/pith/E2MHQ67EZGA5522OIAD3QQUUQ4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E2MHQ67EZGA5522OIAD3QQUUQ4/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":"2026-06-29T19:31:32Z","links":{"resolver":"https://pith.science/pith/E2MHQ67EZGA5522OIAD3QQUUQ4","bundle":"https://pith.science/pith/E2MHQ67EZGA5522OIAD3QQUUQ4/bundle.json","state":"https://pith.science/pith/E2MHQ67EZGA5522OIAD3QQUUQ4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E2MHQ67EZGA5522OIAD3QQUUQ4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:E2MHQ67EZGA5522OIAD3QQUUQ4","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":"1426fc13d7acc08e484500a3b7b8fc6b882905d6d2a170988c929b3f09e35fb3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T22:32:09Z","title_canon_sha256":"ebf320ae9e3428c7a8ae23ee266cf36c5303745d0a099bab3af99dc0f4a52881"},"schema_version":"1.0","source":{"id":"2606.17334","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.17334","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"arxiv_version","alias_value":"2606.17334v1","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17334","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"pith_short_12","alias_value":"E2MHQ67EZGA5","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"pith_short_16","alias_value":"E2MHQ67EZGA5522O","created_at":"2026-06-19T16:10:09Z"},{"alias_kind":"pith_short_8","alias_value":"E2MHQ67E","created_at":"2026-06-19T16:10:09Z"}],"graph_snapshots":[{"event_id":"sha256:0627329dd1771c85463de5772462a255be3a15f359a87a9da783556708ac7730","target":"graph","created_at":"2026-06-19T16:10:09Z","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/2606.17334/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Event cameras are bio-inspired sensors that asynchronously capture logarithmic intensity changes, offering inherent advantages in high-speed and high-dynamic-range scenarios. However, the sparse and asynchronous nature of event streams poses a fundamental challenge for modern deep learning architectures. To enable compatibility with standard models, most existing approaches partition the accumulation window into fixed temporal sub-bins. While effective for spatial processing, this internal discretization discards fine-grained temporal structure and constrains inference to the low temporal freq","authors_text":"Kyoung-Don Kang, Md Tawheedul Islam Bhuian","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T22:32:09Z","title":"FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17334","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:a7866d67d488f978eb8567abc996d0b2796d64dd4449814474881f3930b65650","target":"record","created_at":"2026-06-19T16:10:09Z","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":"1426fc13d7acc08e484500a3b7b8fc6b882905d6d2a170988c929b3f09e35fb3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T22:32:09Z","title_canon_sha256":"ebf320ae9e3428c7a8ae23ee266cf36c5303745d0a099bab3af99dc0f4a52881"},"schema_version":"1.0","source":{"id":"2606.17334","kind":"arxiv","version":1}},"canonical_sha256":"2698787be4c981deeb4e4007b84294872f1337e9f5327ddf8666bacc93442e67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2698787be4c981deeb4e4007b84294872f1337e9f5327ddf8666bacc93442e67","first_computed_at":"2026-06-19T16:10:09.517048Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:10:09.517048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"umuQCoHOn4NP8dNGLqQ4PGD8XguK/jZLhE9SuevyLWPFzWVT8ZYXSvC1JpWwTG1KW4CyRkCtvvFfGCnbsWfLCw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:10:09.517535Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.17334","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7866d67d488f978eb8567abc996d0b2796d64dd4449814474881f3930b65650","sha256:0627329dd1771c85463de5772462a255be3a15f359a87a9da783556708ac7730"],"state_sha256":"56e61214bcea62bc15ba4d0b24c41c1a0c0ecaf283ad7b7120dfd84916898c0b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5hzjj5yeapABOSWS30t1hysid93bwOzyo37K3hdOpgnZLaEFKUNCiCswno30U8u6jXRE8X5ej+PIkxyElV7xDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T19:31:32.298232Z","bundle_sha256":"153c2513979c6d7e9dfaaad2fd1d0d8331cfdece3732566e03286ec63a1d9215"}}