{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ALHHKS3LZFSVXGAUAMBK6PVOMI","short_pith_number":"pith:ALHHKS3L","canonical_record":{"source":{"id":"2508.15439","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T11:01:13Z","cross_cats_sorted":[],"title_canon_sha256":"ebea3a24db463cb79ad898ba0ae471275fe193607e47541621eb1c27f58270e6","abstract_canon_sha256":"d2426803a8ec42953e99add5b7cdba96527baae35c645bbb50c6868b7d4ef5a9"},"schema_version":"1.0"},"canonical_sha256":"02ce754b6bc9655b98140302af3eae620c9655561568dd813104263311d19553","source":{"kind":"arxiv","id":"2508.15439","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.15439","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"arxiv_version","alias_value":"2508.15439v2","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.15439","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"pith_short_12","alias_value":"ALHHKS3LZFSV","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"pith_short_16","alias_value":"ALHHKS3LZFSVXGAU","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"pith_short_8","alias_value":"ALHHKS3L","created_at":"2026-07-05T12:02:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ALHHKS3LZFSVXGAUAMBK6PVOMI","target":"record","payload":{"canonical_record":{"source":{"id":"2508.15439","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T11:01:13Z","cross_cats_sorted":[],"title_canon_sha256":"ebea3a24db463cb79ad898ba0ae471275fe193607e47541621eb1c27f58270e6","abstract_canon_sha256":"d2426803a8ec42953e99add5b7cdba96527baae35c645bbb50c6868b7d4ef5a9"},"schema_version":"1.0"},"canonical_sha256":"02ce754b6bc9655b98140302af3eae620c9655561568dd813104263311d19553","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:50.696925Z","signature_b64":"Msb/G6+gFcLy7kljiCDcVqZGP8W6y4XdTD2GEoD90Yu7VpdKVqGke9iRiCsaA9J5kYZRl7k1MpeXEMsD+mQnBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02ce754b6bc9655b98140302af3eae620c9655561568dd813104263311d19553","last_reissued_at":"2026-07-05T12:02:50.696415Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:50.696415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.15439","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":"2026-07-05T12:02:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nR9nITnuLGHzGFZOIMiTWvjthtoUOLoF/79OE9MpCtnjpXqVJ8mWryPPUiI4Ob7rqS5rv3yvkaIX8LQaN9fqCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T18:59:54.990762Z"},"content_sha256":"367fab94df30fb7d147d08660a42cb3c2e75c513ea057b5452d048a339b8b754","schema_version":"1.0","event_id":"sha256:367fab94df30fb7d147d08660a42cb3c2e75c513ea057b5452d048a339b8b754"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ALHHKS3LZFSVXGAUAMBK6PVOMI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Aligning Moments in Time using Video Queries","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anand Mishra, Manish Gupta, Uday Agarwal, Yogesh Kumar","submitted_at":"2025-08-21T11:01:13Z","abstract_excerpt":"Video-to-video moment retrieval (Vid2VidMR) is the task of localizing unseen events or moments in a target video using a query video. This task poses several challenges, such as the need for semantic frame-level alignment and modeling complex dependencies between query and target videos. To tackle this challenging problem, we introduce MATR (Moment Alignment TRansformer), a transformer-based model designed to capture semantic context as well as the temporal details necessary for precise moment localization. MATR conditions target video representations on query video features using dual-stage s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.15439","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/2508.15439/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":"2026-07-05T12:02:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oeNvyw5oTafXd4dwe0pm0LeXqKC3nFe5jhCPYNm+QEo2SbkBuMj4/4GazbfJ6XHpsF3eYW2fWlABRkFBtEt4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T18:59:54.991642Z"},"content_sha256":"f545287a1440c2293cab3c96a12425ec5938cd053de005bce5049d84564f3ae4","schema_version":"1.0","event_id":"sha256:f545287a1440c2293cab3c96a12425ec5938cd053de005bce5049d84564f3ae4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ALHHKS3LZFSVXGAUAMBK6PVOMI/bundle.json","state_url":"https://pith.science/pith/ALHHKS3LZFSVXGAUAMBK6PVOMI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ALHHKS3LZFSVXGAUAMBK6PVOMI/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":"2026-08-12T18:59:54Z","links":{"resolver":"https://pith.science/pith/ALHHKS3LZFSVXGAUAMBK6PVOMI","bundle":"https://pith.science/pith/ALHHKS3LZFSVXGAUAMBK6PVOMI/bundle.json","state":"https://pith.science/pith/ALHHKS3LZFSVXGAUAMBK6PVOMI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ALHHKS3LZFSVXGAUAMBK6PVOMI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ALHHKS3LZFSVXGAUAMBK6PVOMI","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":"d2426803a8ec42953e99add5b7cdba96527baae35c645bbb50c6868b7d4ef5a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T11:01:13Z","title_canon_sha256":"ebea3a24db463cb79ad898ba0ae471275fe193607e47541621eb1c27f58270e6"},"schema_version":"1.0","source":{"id":"2508.15439","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.15439","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"arxiv_version","alias_value":"2508.15439v2","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.15439","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"pith_short_12","alias_value":"ALHHKS3LZFSV","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"pith_short_16","alias_value":"ALHHKS3LZFSVXGAU","created_at":"2026-07-05T12:02:50Z"},{"alias_kind":"pith_short_8","alias_value":"ALHHKS3L","created_at":"2026-07-05T12:02:50Z"}],"graph_snapshots":[{"event_id":"sha256:f545287a1440c2293cab3c96a12425ec5938cd053de005bce5049d84564f3ae4","target":"graph","created_at":"2026-07-05T12:02:50Z","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/2508.15439/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video-to-video moment retrieval (Vid2VidMR) is the task of localizing unseen events or moments in a target video using a query video. This task poses several challenges, such as the need for semantic frame-level alignment and modeling complex dependencies between query and target videos. To tackle this challenging problem, we introduce MATR (Moment Alignment TRansformer), a transformer-based model designed to capture semantic context as well as the temporal details necessary for precise moment localization. MATR conditions target video representations on query video features using dual-stage s","authors_text":"Anand Mishra, Manish Gupta, Uday Agarwal, Yogesh Kumar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T11:01:13Z","title":"Aligning Moments in Time using Video Queries"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.15439","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":"sha256:367fab94df30fb7d147d08660a42cb3c2e75c513ea057b5452d048a339b8b754","target":"record","created_at":"2026-07-05T12:02:50Z","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":"d2426803a8ec42953e99add5b7cdba96527baae35c645bbb50c6868b7d4ef5a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T11:01:13Z","title_canon_sha256":"ebea3a24db463cb79ad898ba0ae471275fe193607e47541621eb1c27f58270e6"},"schema_version":"1.0","source":{"id":"2508.15439","kind":"arxiv","version":2}},"canonical_sha256":"02ce754b6bc9655b98140302af3eae620c9655561568dd813104263311d19553","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02ce754b6bc9655b98140302af3eae620c9655561568dd813104263311d19553","first_computed_at":"2026-07-05T12:02:50.696415Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:50.696415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Msb/G6+gFcLy7kljiCDcVqZGP8W6y4XdTD2GEoD90Yu7VpdKVqGke9iRiCsaA9J5kYZRl7k1MpeXEMsD+mQnBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:50.696925Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.15439","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:367fab94df30fb7d147d08660a42cb3c2e75c513ea057b5452d048a339b8b754","sha256:f545287a1440c2293cab3c96a12425ec5938cd053de005bce5049d84564f3ae4"],"state_sha256":"b719974bb680d7076fb4b89a6117b8689ba6b20fc453125900c26c07d8b227e8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CbD3pIny0C+6Z55JZB+WYVw0jhOCW3WXlsaTAYye/4W42s14o6Rp42KR6iinBp4Yw94K37pQQoqFJNV7QA6wBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T18:59:54.999580Z","bundle_sha256":"d4f23587be4010319dc8ef794ddf8403f92290550a8e37e478dac5326605b1cc"}}