{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:YCXPCD4WH2DBHCHZN4O7ENQUSF","short_pith_number":"pith:YCXPCD4W","canonical_record":{"source":{"id":"2502.05397","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-08T01:03:43Z","cross_cats_sorted":[],"title_canon_sha256":"41639476cf47d764ece1fa7355db835ca195fafdd1e51319f25b8ebc4ca2be8a","abstract_canon_sha256":"aba577982e2185d54bff30878d1b64ce723ea5575af8444f186c51c8ed9417b4"},"schema_version":"1.0"},"canonical_sha256":"c0aef10f963e861388f96f1df23614917995aca6ac284489bbba832165e08130","source":{"kind":"arxiv","id":"2502.05397","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05397","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05397v2","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05397","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"pith_short_12","alias_value":"YCXPCD4WH2DB","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"pith_short_16","alias_value":"YCXPCD4WH2DBHCHZ","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"pith_short_8","alias_value":"YCXPCD4W","created_at":"2026-07-05T11:36:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:YCXPCD4WH2DBHCHZN4O7ENQUSF","target":"record","payload":{"canonical_record":{"source":{"id":"2502.05397","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-08T01:03:43Z","cross_cats_sorted":[],"title_canon_sha256":"41639476cf47d764ece1fa7355db835ca195fafdd1e51319f25b8ebc4ca2be8a","abstract_canon_sha256":"aba577982e2185d54bff30878d1b64ce723ea5575af8444f186c51c8ed9417b4"},"schema_version":"1.0"},"canonical_sha256":"c0aef10f963e861388f96f1df23614917995aca6ac284489bbba832165e08130","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:36:55.357049Z","signature_b64":"SVjFWIwdnZrIw6e9rp1pXQqX2Vou4Z39yzut831DFBd4rgbbZQFKn7lDk0UXyfXWo8BLOYfq1Mz7YNW7P8QQCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c0aef10f963e861388f96f1df23614917995aca6ac284489bbba832165e08130","last_reissued_at":"2026-07-05T11:36:55.355785Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:36:55.355785Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.05397","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":"2026-07-05T11:36:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YqjYvm6BBOfgift3NqumW8lGr6rHz79uiXizDLHhHECmkFhQat6oneXbfmMc3WXubu0H4B1F9aB1mqXPN5qCDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T06:59:34.040575Z"},"content_sha256":"8f44b08b41e63d97cb71c6c5ccec71aac3a7b644df1411a965666fe4d8d092e7","schema_version":"1.0","event_id":"sha256:8f44b08b41e63d97cb71c6c5ccec71aac3a7b644df1411a965666fe4d8d092e7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:YCXPCD4WH2DBHCHZN4O7ENQUSF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Imitation Learning from a Single Temporally Misaligned Video","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Anne Wu, Huaxiaoyue Wang, Sanjiban Choudhury, William Huey, Yoav Artzi","submitted_at":"2025-02-08T01:03:43Z","abstract_excerpt":"We examine the problem of learning sequential tasks from a single visual demonstration. A key challenge arises when demonstrations are temporally misaligned due to variations in timing, differences in embodiment, or inconsistencies in execution. Existing approaches treat imitation as a distribution-matching problem, aligning individual frames between the agent and the demonstration. However, we show that such frame-level matching fails to enforce temporal ordering or ensure consistent progress. Our key insight is that matching should instead be defined at the level of sequences. We propose tha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05397","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/2502.05397/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":"2026-07-05T11:36:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jalOWsLHg9gTlu5QNBZfWL1ockde42xQtNDs0ZV0RNzQ+c7F5lRorByc67ewDaavEcvS91nvJEa9HMoTgDyNBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T06:59:34.041061Z"},"content_sha256":"c022fb9426edac34d07072bdc9289358cc03e768d2f467a76107235c2ed218d6","schema_version":"1.0","event_id":"sha256:c022fb9426edac34d07072bdc9289358cc03e768d2f467a76107235c2ed218d6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YCXPCD4WH2DBHCHZN4O7ENQUSF/bundle.json","state_url":"https://pith.science/pith/YCXPCD4WH2DBHCHZN4O7ENQUSF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YCXPCD4WH2DBHCHZN4O7ENQUSF/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":"2026-08-15T06:59:34Z","links":{"resolver":"https://pith.science/pith/YCXPCD4WH2DBHCHZN4O7ENQUSF","bundle":"https://pith.science/pith/YCXPCD4WH2DBHCHZN4O7ENQUSF/bundle.json","state":"https://pith.science/pith/YCXPCD4WH2DBHCHZN4O7ENQUSF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YCXPCD4WH2DBHCHZN4O7ENQUSF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YCXPCD4WH2DBHCHZN4O7ENQUSF","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":"aba577982e2185d54bff30878d1b64ce723ea5575af8444f186c51c8ed9417b4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-08T01:03:43Z","title_canon_sha256":"41639476cf47d764ece1fa7355db835ca195fafdd1e51319f25b8ebc4ca2be8a"},"schema_version":"1.0","source":{"id":"2502.05397","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05397","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05397v2","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05397","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"pith_short_12","alias_value":"YCXPCD4WH2DB","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"pith_short_16","alias_value":"YCXPCD4WH2DBHCHZ","created_at":"2026-07-05T11:36:55Z"},{"alias_kind":"pith_short_8","alias_value":"YCXPCD4W","created_at":"2026-07-05T11:36:55Z"}],"graph_snapshots":[{"event_id":"sha256:c022fb9426edac34d07072bdc9289358cc03e768d2f467a76107235c2ed218d6","target":"graph","created_at":"2026-07-05T11:36:55Z","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/2502.05397/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We examine the problem of learning sequential tasks from a single visual demonstration. A key challenge arises when demonstrations are temporally misaligned due to variations in timing, differences in embodiment, or inconsistencies in execution. Existing approaches treat imitation as a distribution-matching problem, aligning individual frames between the agent and the demonstration. However, we show that such frame-level matching fails to enforce temporal ordering or ensure consistent progress. Our key insight is that matching should instead be defined at the level of sequences. We propose tha","authors_text":"Anne Wu, Huaxiaoyue Wang, Sanjiban Choudhury, William Huey, Yoav Artzi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-08T01:03:43Z","title":"Imitation Learning from a Single Temporally Misaligned Video"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05397","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":"sha256:8f44b08b41e63d97cb71c6c5ccec71aac3a7b644df1411a965666fe4d8d092e7","target":"record","created_at":"2026-07-05T11:36:55Z","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":"aba577982e2185d54bff30878d1b64ce723ea5575af8444f186c51c8ed9417b4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-08T01:03:43Z","title_canon_sha256":"41639476cf47d764ece1fa7355db835ca195fafdd1e51319f25b8ebc4ca2be8a"},"schema_version":"1.0","source":{"id":"2502.05397","kind":"arxiv","version":2}},"canonical_sha256":"c0aef10f963e861388f96f1df23614917995aca6ac284489bbba832165e08130","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0aef10f963e861388f96f1df23614917995aca6ac284489bbba832165e08130","first_computed_at":"2026-07-05T11:36:55.355785Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:36:55.355785Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SVjFWIwdnZrIw6e9rp1pXQqX2Vou4Z39yzut831DFBd4rgbbZQFKn7lDk0UXyfXWo8BLOYfq1Mz7YNW7P8QQCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:36:55.357049Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.05397","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f44b08b41e63d97cb71c6c5ccec71aac3a7b644df1411a965666fe4d8d092e7","sha256:c022fb9426edac34d07072bdc9289358cc03e768d2f467a76107235c2ed218d6"],"state_sha256":"2834a164891ab7e551282223ce8aa6fb6bc5b5f85ac1b85649136e835933d09f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sLxETL8sFR8hs8wf9wBhnQBOv2/49muKDHH/H4OAaj68ZvQ3QBwti+FxQqwop/0BTMS0wzP5tcBPVF7ercUJDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T06:59:34.044878Z","bundle_sha256":"854da0d282f9932c661c153b3f4e945a138d2e17e7ccbcfb07267021da76dff2"}}