{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:AQLCW32NC6GVXUDABHFCSK7TYJ","short_pith_number":"pith:AQLCW32N","canonical_record":{"source":{"id":"2305.11365","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T01:00:08Z","cross_cats_sorted":[],"title_canon_sha256":"aa2536e1ab95512c14f2df98540be2fa79356db551d736f6659f778431be8c95","abstract_canon_sha256":"182c13f85e9883a94cd3ef70f2513d6321b553bf88592ee603c46b52e806ab6c"},"schema_version":"1.0"},"canonical_sha256":"04162b6f4d178d5bd06009ca292bf3c2530a89f811cd5ba9f9812ed1a7cb9f7c","source":{"kind":"arxiv","id":"2305.11365","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11365","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11365v2","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11365","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"AQLCW32NC6GV","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"AQLCW32NC6GVXUDA","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"AQLCW32N","created_at":"2026-07-05T06:13:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:AQLCW32NC6GVXUDABHFCSK7TYJ","target":"record","payload":{"canonical_record":{"source":{"id":"2305.11365","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T01:00:08Z","cross_cats_sorted":[],"title_canon_sha256":"aa2536e1ab95512c14f2df98540be2fa79356db551d736f6659f778431be8c95","abstract_canon_sha256":"182c13f85e9883a94cd3ef70f2513d6321b553bf88592ee603c46b52e806ab6c"},"schema_version":"1.0"},"canonical_sha256":"04162b6f4d178d5bd06009ca292bf3c2530a89f811cd5ba9f9812ed1a7cb9f7c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:13:21.257612Z","signature_b64":"lHdC8hPPa2KkI7DeCIhRdCV8utFC7yDCfVXKYNfNMcNx0N8eSKyNwVhnp3U0IGNsyhmpiSf0d8QAvSIVQEA1BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04162b6f4d178d5bd06009ca292bf3c2530a89f811cd5ba9f9812ed1a7cb9f7c","last_reissued_at":"2026-07-05T06:13:21.257016Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:13:21.257016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.11365","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":"2026-07-05T06:13:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZOKu49d+R6zX1W8pUwtmDVA8UoZcHiZw1ixDZEpKlTlVzAYHE+gGoeG7MWk2EhU9QGuWgKhREN1lUfk/JmJXDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:11:05.198049Z"},"content_sha256":"2b66d3cafb43cd0b57870426fb96fc890bea1d7fc41285fe62fdb108e7d37e7d","schema_version":"1.0","event_id":"sha256:2b66d3cafb43cd0b57870426fb96fc890bea1d7fc41285fe62fdb108e7d37e7d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:AQLCW32NC6GVXUDABHFCSK7TYJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Transformer Backbone for Egocentric Video Action Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Balaji Sundareshan, Mohsen Moghaddam, Octavia Camps, Sakib Reza","submitted_at":"2023-05-19T01:00:08Z","abstract_excerpt":"Egocentric temporal action segmentation in videos is a crucial task in computer vision with applications in various fields such as mixed reality, human behavior analysis, and robotics. Although recent research has utilized advanced visual-language frameworks, transformers remain the backbone of action segmentation models. Therefore, it is necessary to improve transformers to enhance the robustness of action segmentation models. In this work, we propose two novel ideas to enhance the state-of-the-art transformer for action segmentation. First, we introduce a dual dilated attention mechanism to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11365","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/2305.11365/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":"2026-07-05T06:13:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SxwFntQfzCSayT7F/d5ttnpvM5C2rfkc9zmgpHhf58wXMj5r/5gLv3RJeGynnI3E/OIJmVdHxsKoiEU+XgIdCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:11:05.198337Z"},"content_sha256":"fdb161885f20d06412a620e8ee8429a62fd2956339953884cc90fa1b96e207b3","schema_version":"1.0","event_id":"sha256:fdb161885f20d06412a620e8ee8429a62fd2956339953884cc90fa1b96e207b3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AQLCW32NC6GVXUDABHFCSK7TYJ/bundle.json","state_url":"https://pith.science/pith/AQLCW32NC6GVXUDABHFCSK7TYJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AQLCW32NC6GVXUDABHFCSK7TYJ/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":"2026-07-31T14:11:05Z","links":{"resolver":"https://pith.science/pith/AQLCW32NC6GVXUDABHFCSK7TYJ","bundle":"https://pith.science/pith/AQLCW32NC6GVXUDABHFCSK7TYJ/bundle.json","state":"https://pith.science/pith/AQLCW32NC6GVXUDABHFCSK7TYJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AQLCW32NC6GVXUDABHFCSK7TYJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AQLCW32NC6GVXUDABHFCSK7TYJ","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":"182c13f85e9883a94cd3ef70f2513d6321b553bf88592ee603c46b52e806ab6c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T01:00:08Z","title_canon_sha256":"aa2536e1ab95512c14f2df98540be2fa79356db551d736f6659f778431be8c95"},"schema_version":"1.0","source":{"id":"2305.11365","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11365","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11365v2","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11365","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"AQLCW32NC6GV","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"AQLCW32NC6GVXUDA","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"AQLCW32N","created_at":"2026-07-05T06:13:21Z"}],"graph_snapshots":[{"event_id":"sha256:fdb161885f20d06412a620e8ee8429a62fd2956339953884cc90fa1b96e207b3","target":"graph","created_at":"2026-07-05T06:13:21Z","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/2305.11365/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Egocentric temporal action segmentation in videos is a crucial task in computer vision with applications in various fields such as mixed reality, human behavior analysis, and robotics. Although recent research has utilized advanced visual-language frameworks, transformers remain the backbone of action segmentation models. Therefore, it is necessary to improve transformers to enhance the robustness of action segmentation models. In this work, we propose two novel ideas to enhance the state-of-the-art transformer for action segmentation. First, we introduce a dual dilated attention mechanism to ","authors_text":"Balaji Sundareshan, Mohsen Moghaddam, Octavia Camps, Sakib Reza","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T01:00:08Z","title":"Enhancing Transformer Backbone for Egocentric Video Action Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11365","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":"sha256:2b66d3cafb43cd0b57870426fb96fc890bea1d7fc41285fe62fdb108e7d37e7d","target":"record","created_at":"2026-07-05T06:13:21Z","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":"182c13f85e9883a94cd3ef70f2513d6321b553bf88592ee603c46b52e806ab6c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T01:00:08Z","title_canon_sha256":"aa2536e1ab95512c14f2df98540be2fa79356db551d736f6659f778431be8c95"},"schema_version":"1.0","source":{"id":"2305.11365","kind":"arxiv","version":2}},"canonical_sha256":"04162b6f4d178d5bd06009ca292bf3c2530a89f811cd5ba9f9812ed1a7cb9f7c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04162b6f4d178d5bd06009ca292bf3c2530a89f811cd5ba9f9812ed1a7cb9f7c","first_computed_at":"2026-07-05T06:13:21.257016Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:13:21.257016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lHdC8hPPa2KkI7DeCIhRdCV8utFC7yDCfVXKYNfNMcNx0N8eSKyNwVhnp3U0IGNsyhmpiSf0d8QAvSIVQEA1BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:13:21.257612Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.11365","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b66d3cafb43cd0b57870426fb96fc890bea1d7fc41285fe62fdb108e7d37e7d","sha256:fdb161885f20d06412a620e8ee8429a62fd2956339953884cc90fa1b96e207b3"],"state_sha256":"017a5d595ad6064486edc4428372182efbdf782f391920beb9a34b976ba642ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K1NuVahHeFJABVcU5pcsalnhnfx4Cp0uKRMyYsNvhxRkUCh1yxvEl6CIhFB2NhAtTdPgadG3+bLyzQJ56A6MCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T14:11:05.200400Z","bundle_sha256":"aff673451df4aa37738a7c63d83f2c88efffaba8df3be628d7ed6578bd5342d2"}}