{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QCXJUVLCVF7EODOI4667WPLUMN","short_pith_number":"pith:QCXJUVLC","canonical_record":{"source":{"id":"2507.17963","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-07-23T22:09:38Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"c74d4688d7fe6957a9ef47e8b2acab4220f5c916c839f0e63354b1353814fe84","abstract_canon_sha256":"1e275242fb64b86f7f2f2a8474a609f2497bc6c5fef7ac8121dc24141508ef57"},"schema_version":"1.0"},"canonical_sha256":"80ae9a5562a97e470dc8e7bdfb3d746367f2bcb0970dc1e674f113ee63197e15","source":{"kind":"arxiv","id":"2507.17963","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.17963","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"arxiv_version","alias_value":"2507.17963v1","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17963","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"pith_short_12","alias_value":"QCXJUVLCVF7E","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"pith_short_16","alias_value":"QCXJUVLCVF7EODOI","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"pith_short_8","alias_value":"QCXJUVLC","created_at":"2026-07-05T11:42:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QCXJUVLCVF7EODOI4667WPLUMN","target":"record","payload":{"canonical_record":{"source":{"id":"2507.17963","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-07-23T22:09:38Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"c74d4688d7fe6957a9ef47e8b2acab4220f5c916c839f0e63354b1353814fe84","abstract_canon_sha256":"1e275242fb64b86f7f2f2a8474a609f2497bc6c5fef7ac8121dc24141508ef57"},"schema_version":"1.0"},"canonical_sha256":"80ae9a5562a97e470dc8e7bdfb3d746367f2bcb0970dc1e674f113ee63197e15","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:38.226988Z","signature_b64":"R8Zpn7jHx+SEOIVh2dcDk9L298rwKuKDQ19/rqNxPygwWClm9lp0TT6WPPqz2i/6y2k/QK0tq4WmrhTV7zd2Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80ae9a5562a97e470dc8e7bdfb3d746367f2bcb0970dc1e674f113ee63197e15","last_reissued_at":"2026-07-05T11:42:38.226558Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:38.226558Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.17963","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":"2026-07-05T11:42:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"elKhewrkJcwDaUcVzaMx9h8iJL4Iv47n1G/zVly3dSL1uxR5iHpuGNYe9xbp4W0Nk7gcDEJNtqzrf6UoEl+gDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T13:51:46.271318Z"},"content_sha256":"339cef010619ca9bb2acb14543d953413a083e6b54d8fd0dae3309b3d1990316","schema_version":"1.0","event_id":"sha256:339cef010619ca9bb2acb14543d953413a083e6b54d8fd0dae3309b3d1990316"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QCXJUVLCVF7EODOI4667WPLUMN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.GR","authors_text":"Aliaksandr Siarohin, Daniel Cohen-Or, Ekaterina Deyneka, Hao Chen, Kfir Aberman, Or Patashnik, Rameen Abdal, Sergey Tulyakov","submitted_at":"2025-07-23T22:09:38Z","abstract_excerpt":"Recent advances in text-to-video generation have enabled high-quality synthesis from text and image prompts. While the personalization of dynamic concepts, which capture subject-specific appearance and motion from a single video, is now feasible, most existing methods require per-instance fine-tuning, limiting scalability. We introduce a fully zero-shot framework for dynamic concept personalization in text-to-video models. Our method leverages structured 2x2 video grids that spatially organize input and output pairs, enabling the training of lightweight Grid-LoRA adapters for editing and compo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17963","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/2507.17963/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":"2026-07-05T11:42:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GTAgeeAngjM1EBdctRxKWJD7Vt4riRlpvsE9jXZGnBGylvfonrkwnJJsBa9Cj0dK7WeZn17J2LKyr9CWlY9ZCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T13:51:46.271925Z"},"content_sha256":"b241bff0984b6ce7b97c384e2673a82ecdf691a64f21e12e2d8a7fc6370be1d7","schema_version":"1.0","event_id":"sha256:b241bff0984b6ce7b97c384e2673a82ecdf691a64f21e12e2d8a7fc6370be1d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QCXJUVLCVF7EODOI4667WPLUMN/bundle.json","state_url":"https://pith.science/pith/QCXJUVLCVF7EODOI4667WPLUMN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QCXJUVLCVF7EODOI4667WPLUMN/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":"2026-08-10T13:51:46Z","links":{"resolver":"https://pith.science/pith/QCXJUVLCVF7EODOI4667WPLUMN","bundle":"https://pith.science/pith/QCXJUVLCVF7EODOI4667WPLUMN/bundle.json","state":"https://pith.science/pith/QCXJUVLCVF7EODOI4667WPLUMN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QCXJUVLCVF7EODOI4667WPLUMN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QCXJUVLCVF7EODOI4667WPLUMN","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":"1e275242fb64b86f7f2f2a8474a609f2497bc6c5fef7ac8121dc24141508ef57","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-07-23T22:09:38Z","title_canon_sha256":"c74d4688d7fe6957a9ef47e8b2acab4220f5c916c839f0e63354b1353814fe84"},"schema_version":"1.0","source":{"id":"2507.17963","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.17963","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"arxiv_version","alias_value":"2507.17963v1","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17963","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"pith_short_12","alias_value":"QCXJUVLCVF7E","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"pith_short_16","alias_value":"QCXJUVLCVF7EODOI","created_at":"2026-07-05T11:42:38Z"},{"alias_kind":"pith_short_8","alias_value":"QCXJUVLC","created_at":"2026-07-05T11:42:38Z"}],"graph_snapshots":[{"event_id":"sha256:b241bff0984b6ce7b97c384e2673a82ecdf691a64f21e12e2d8a7fc6370be1d7","target":"graph","created_at":"2026-07-05T11:42:38Z","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/2507.17963/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in text-to-video generation have enabled high-quality synthesis from text and image prompts. While the personalization of dynamic concepts, which capture subject-specific appearance and motion from a single video, is now feasible, most existing methods require per-instance fine-tuning, limiting scalability. We introduce a fully zero-shot framework for dynamic concept personalization in text-to-video models. Our method leverages structured 2x2 video grids that spatially organize input and output pairs, enabling the training of lightweight Grid-LoRA adapters for editing and compo","authors_text":"Aliaksandr Siarohin, Daniel Cohen-Or, Ekaterina Deyneka, Hao Chen, Kfir Aberman, Or Patashnik, Rameen Abdal, Sergey Tulyakov","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-07-23T22:09:38Z","title":"Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17963","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":"sha256:339cef010619ca9bb2acb14543d953413a083e6b54d8fd0dae3309b3d1990316","target":"record","created_at":"2026-07-05T11:42:38Z","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":"1e275242fb64b86f7f2f2a8474a609f2497bc6c5fef7ac8121dc24141508ef57","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-07-23T22:09:38Z","title_canon_sha256":"c74d4688d7fe6957a9ef47e8b2acab4220f5c916c839f0e63354b1353814fe84"},"schema_version":"1.0","source":{"id":"2507.17963","kind":"arxiv","version":1}},"canonical_sha256":"80ae9a5562a97e470dc8e7bdfb3d746367f2bcb0970dc1e674f113ee63197e15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80ae9a5562a97e470dc8e7bdfb3d746367f2bcb0970dc1e674f113ee63197e15","first_computed_at":"2026-07-05T11:42:38.226558Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:38.226558Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R8Zpn7jHx+SEOIVh2dcDk9L298rwKuKDQ19/rqNxPygwWClm9lp0TT6WPPqz2i/6y2k/QK0tq4WmrhTV7zd2Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:38.226988Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.17963","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:339cef010619ca9bb2acb14543d953413a083e6b54d8fd0dae3309b3d1990316","sha256:b241bff0984b6ce7b97c384e2673a82ecdf691a64f21e12e2d8a7fc6370be1d7"],"state_sha256":"6a6bb6a384de3300dc1b2bfacd0e6be253f35b4984adb8105fbc5abc2ace7892"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xf8JSkXR4zB1tU7jE9lglwC1ZAnzg5SUXIDu/rQ2JVS5X6fothgPb/PoVawLVoU2KBpFtDHIPWma6VNelVUcCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T13:51:46.275317Z","bundle_sha256":"50cb23c720a7ab9bbd79c39b91693b59e087a9a6f5407d0ad724e1f602316811"}}