{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:2TZUVD65EXTVWRW4OG52XM3RTI","short_pith_number":"pith:2TZUVD65","canonical_record":{"source":{"id":"2606.09547","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-08T14:27:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e0572d95f79f1d0669bd75f27c94966b24955295bb43a45413969681b457fdfd","abstract_canon_sha256":"4d2643baa35f8f0250fbf28bbdc0aee357660fcb90fe92a1a62f98b975dfaf05"},"schema_version":"1.0"},"canonical_sha256":"d4f34a8fdd25e75b46dc71bbabb3719a3bd9b8887d8b4fa1316314117a7a4473","source":{"kind":"arxiv","id":"2606.09547","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.09547","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.09547v1","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09547","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"pith_short_12","alias_value":"2TZUVD65EXTV","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"pith_short_16","alias_value":"2TZUVD65EXTVWRW4","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"pith_short_8","alias_value":"2TZUVD65","created_at":"2026-06-09T02:08:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:2TZUVD65EXTVWRW4OG52XM3RTI","target":"record","payload":{"canonical_record":{"source":{"id":"2606.09547","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-08T14:27:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e0572d95f79f1d0669bd75f27c94966b24955295bb43a45413969681b457fdfd","abstract_canon_sha256":"4d2643baa35f8f0250fbf28bbdc0aee357660fcb90fe92a1a62f98b975dfaf05"},"schema_version":"1.0"},"canonical_sha256":"d4f34a8fdd25e75b46dc71bbabb3719a3bd9b8887d8b4fa1316314117a7a4473","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:08:54.374578Z","signature_b64":"3PDua3gCVfteHv9W/L6szoy3/g4TLneFvDGg4VXYkOeqiDr6ZW9n5P/A1JNCboYR9e3TRfUd+gMJy/UCmo9qAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4f34a8fdd25e75b46dc71bbabb3719a3bd9b8887d8b4fa1316314117a7a4473","last_reissued_at":"2026-06-09T02:08:54.372395Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:08:54.372395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.09547","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":"2026-06-09T02:08:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sRGqEKZiQlv5wg9DRrANkMse//E+31QWT+g2OhSMUpbuCSKOTjsHoM+ttxz7gS1K5+AAS0IJJFPJmIEuM2bvAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T07:53:14.765731Z"},"content_sha256":"56649d326b5aa796c4883ce48c66f7e8bbb4c537de4503e37c334b6bca194c17","schema_version":"1.0","event_id":"sha256:56649d326b5aa796c4883ce48c66f7e8bbb4c537de4503e37c334b6bca194c17"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:2TZUVD65EXTVWRW4OG52XM3RTI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Streaming Interventions: Can Video Large Language Models Correct Mistakes as They Occur?","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Apratim Bhattacharyya, Litian Liu, Rajeev Yasarla, Reza Pourreza, Risheek Garrepalli, Roland Memisevic, Sanjay Haresh, Shweta Mahajan","submitted_at":"2026-06-08T14:27:20Z","abstract_excerpt":"Learning everyday skills, like cooking a dish, relies increasingly on instructional media such as online videos. This opens the door to the use of video (and multimodal) large language models (LLMs) as task guidance assistants. A crucial capability for the real-world success of a prospective task guidance assistant is it's ability to intervene proactively as soon as a mistake is apparent in order to guide the user. To evaluate this crucial capability, we introduce Ego-MC-Bench (Mistake Corrections), a benchmark for evaluating reactive, step-by-step task guidance in realistic cooking scenarios."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09547","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/2606.09547/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":"2026-06-09T02:08:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZQa3AuNpqAwQPBuRX0pnfcjx0oCRhypMaOTB5VGvNj1ZZAVqfGhOaq5PX8tX3NvE1oIsap2CPFJ+vigbJoRlDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T07:53:14.766302Z"},"content_sha256":"bfa91107f499605eebbdd1c0b69a40783c2f2afbe808df0b91d573427f80a93a","schema_version":"1.0","event_id":"sha256:bfa91107f499605eebbdd1c0b69a40783c2f2afbe808df0b91d573427f80a93a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2TZUVD65EXTVWRW4OG52XM3RTI/bundle.json","state_url":"https://pith.science/pith/2TZUVD65EXTVWRW4OG52XM3RTI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2TZUVD65EXTVWRW4OG52XM3RTI/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":"2026-06-12T07:53:14Z","links":{"resolver":"https://pith.science/pith/2TZUVD65EXTVWRW4OG52XM3RTI","bundle":"https://pith.science/pith/2TZUVD65EXTVWRW4OG52XM3RTI/bundle.json","state":"https://pith.science/pith/2TZUVD65EXTVWRW4OG52XM3RTI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2TZUVD65EXTVWRW4OG52XM3RTI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2TZUVD65EXTVWRW4OG52XM3RTI","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":"4d2643baa35f8f0250fbf28bbdc0aee357660fcb90fe92a1a62f98b975dfaf05","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-08T14:27:20Z","title_canon_sha256":"e0572d95f79f1d0669bd75f27c94966b24955295bb43a45413969681b457fdfd"},"schema_version":"1.0","source":{"id":"2606.09547","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.09547","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.09547v1","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09547","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"pith_short_12","alias_value":"2TZUVD65EXTV","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"pith_short_16","alias_value":"2TZUVD65EXTVWRW4","created_at":"2026-06-09T02:08:54Z"},{"alias_kind":"pith_short_8","alias_value":"2TZUVD65","created_at":"2026-06-09T02:08:54Z"}],"graph_snapshots":[{"event_id":"sha256:bfa91107f499605eebbdd1c0b69a40783c2f2afbe808df0b91d573427f80a93a","target":"graph","created_at":"2026-06-09T02:08:54Z","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/2606.09547/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning everyday skills, like cooking a dish, relies increasingly on instructional media such as online videos. This opens the door to the use of video (and multimodal) large language models (LLMs) as task guidance assistants. A crucial capability for the real-world success of a prospective task guidance assistant is it's ability to intervene proactively as soon as a mistake is apparent in order to guide the user. To evaluate this crucial capability, we introduce Ego-MC-Bench (Mistake Corrections), a benchmark for evaluating reactive, step-by-step task guidance in realistic cooking scenarios.","authors_text":"Apratim Bhattacharyya, Litian Liu, Rajeev Yasarla, Reza Pourreza, Risheek Garrepalli, Roland Memisevic, Sanjay Haresh, Shweta Mahajan","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-08T14:27:20Z","title":"Streaming Interventions: Can Video Large Language Models Correct Mistakes as They Occur?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09547","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":"sha256:56649d326b5aa796c4883ce48c66f7e8bbb4c537de4503e37c334b6bca194c17","target":"record","created_at":"2026-06-09T02:08:54Z","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":"4d2643baa35f8f0250fbf28bbdc0aee357660fcb90fe92a1a62f98b975dfaf05","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-08T14:27:20Z","title_canon_sha256":"e0572d95f79f1d0669bd75f27c94966b24955295bb43a45413969681b457fdfd"},"schema_version":"1.0","source":{"id":"2606.09547","kind":"arxiv","version":1}},"canonical_sha256":"d4f34a8fdd25e75b46dc71bbabb3719a3bd9b8887d8b4fa1316314117a7a4473","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4f34a8fdd25e75b46dc71bbabb3719a3bd9b8887d8b4fa1316314117a7a4473","first_computed_at":"2026-06-09T02:08:54.372395Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T02:08:54.372395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3PDua3gCVfteHv9W/L6szoy3/g4TLneFvDGg4VXYkOeqiDr6ZW9n5P/A1JNCboYR9e3TRfUd+gMJy/UCmo9qAg==","signature_status":"signed_v1","signed_at":"2026-06-09T02:08:54.374578Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.09547","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56649d326b5aa796c4883ce48c66f7e8bbb4c537de4503e37c334b6bca194c17","sha256:bfa91107f499605eebbdd1c0b69a40783c2f2afbe808df0b91d573427f80a93a"],"state_sha256":"dd976ffba15b970ead04a115dd96d4f7f7fcee84de08ead3e3f4b300ccd0429e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/qNaPIRo/cIcwJkKFL6ZfkD37Lupg55QclQ7EOfylAetDKkzo+QvEy3sidd1NGg+/YiYVQKTTTiU9HSpC9xOCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T07:53:14.768629Z","bundle_sha256":"785784fb1908ccd95e7406cfa7fbaeb24ffeaffe7a36c10e1cf8beed7f2a584f"}}