{"as_of":"2026-08-11T05:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8841de53ae658424b329a99ca8cfd87061459b1a3048ccbea2c4b3f4a11e59a1","coverage":[{"denominator":5,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:44:58.688616Z","state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.17963/citation-record","integrity":"/paper/2507.17963/integrity","json":"/paper/2507.17963/citation-record.json","paper":"/paper/2507.17963"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.08629","last_updated":"2025-07-22T12:07:56Z","snapshot_observed_at":"2026-08-07T00:06:35.032642Z","submitted_at":"2024-12-11T18:50:29Z","title":"FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08629","snapshot_observed_at":"2026-08-06T14:44:58.682508Z","title":"arXiv preprint arXiv:2412.08629 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17963","last_updated":"2025-07-23T22:09:38Z","snapshot_observed_at":"2026-08-09T10:22:10.163971Z","submitted_at":"2025-07-23T22:09:38Z","title":"Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T14:44:58.682508Z"},"links":{"cited_paper":"/paper/2412.08629","citing_paper":"/paper/2507.17963"},"observation_digest":"sha256:935cb12cb9519d35429a85df75793b398b00820ff060a1f455373fcc17e4ba57","observation_id":"f235a6d6-3aa6-4e59-87d7-e0f4528a543d","resolution":{"observed_at":"2026-08-06T14:44:58.682508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11565","last_updated":"2024-05-06T16:29:15Z","snapshot_observed_at":"2026-08-10T09:52:33.176299Z","submitted_at":"2024-04-17T17:08:05Z","title":"MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11565","snapshot_observed_at":"2026-08-06T14:44:58.688616Z","title":"arXiv preprint arXiv:2404.11565 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17963","last_updated":"2025-07-23T22:09:38Z","snapshot_observed_at":"2026-08-09T10:22:10.163971Z","submitted_at":"2025-07-23T22:09:38Z","title":"Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T14:44:58.688616Z"},"links":{"cited_paper":"/paper/2404.11565","citing_paper":"/paper/2507.17963"},"observation_digest":"sha256:bab3280e2f77cccada2cb71002aef5dcdb0e7a332ca10aed4cdc2df07ec9eab6","observation_id":"6f9d28eb-dc3b-4c00-84d9-cef221d8d2c9","resolution":{"observed_at":"2026-08-06T14:44:58.688616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:44:58.505066Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence44, 10 (oct 2022), 5962–5979","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.17963","last_updated":"2025-07-23T22:09:38Z","snapshot_observed_at":"2026-08-09T10:22:10.163971Z","submitted_at":"2025-07-23T22:09:38Z","title":"Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T14:44:58.505066Z"},"links":{"citing_paper":"/paper/2507.17963"},"observation_digest":"sha256:d447a4171a04ec18250fe40b56a98aa249fb5e98c4d171b19a7c06d19fe165e0","observation_id":"6f13703d-fb49-4765-b6a9-a29ad4d50051","resolution":{"observed_at":"2026-08-06T14:44:58.505066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16311","last_updated":"2023-10-04T07:38:36Z","snapshot_observed_at":"2026-08-08T22:53:13.628278Z","submitted_at":"2023-05-25T17:59:04Z","title":"Break-A-Scene: Extracting Multiple Concepts from a Single Image","version":2},"cited_work":{"arxiv_id":"2305.16311","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.16311","snapshot_observed_at":"2026-08-06T14:44:58.953737Z","title":"Break-A-Scene: Extracting Multiple Concepts from a Single Image","venue":"cs.CV","work_id":"452b336b-4141-4476-be77-92aa1df7a71b","year":2023},"citing_paper":{"arxiv_id":"2507.17963","last_updated":"2025-07-23T22:09:38Z","snapshot_observed_at":"2026-08-09T10:22:10.163971Z","submitted_at":"2025-07-23T22:09:38Z","title":"Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T14:44:58.440458Z"},"links":{"cited_paper":"/paper/2305.16311","citing_paper":"/paper/2507.17963"},"observation_digest":"sha256:c052f889a53a53a044a7d99fca532eb6aa38aaa3e4201996399171c8e12ae6d0","observation_id":"59ed7d7d-b2bb-48c4-aa95-8c18c010fdc9","resolution":{"observed_at":"2026-08-06T14:44:58.962776Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03603","last_updated":"2025-03-11T08:14:25Z","snapshot_observed_at":"2026-08-03T00:44:01.942521Z","submitted_at":"2024-12-03T23:52:37Z","title":"HunyuanVideo: A Systematic Framework For Large Video Generative Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03603","snapshot_observed_at":"2026-08-06T14:44:58.590618Z","title":"In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17963","last_updated":"2025-07-23T22:09:38Z","snapshot_observed_at":"2026-08-09T10:22:10.163971Z","submitted_at":"2025-07-23T22:09:38Z","title":"Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T14:44:58.590618Z"},"links":{"cited_paper":"/paper/2412.03603","citing_paper":"/paper/2507.17963"},"observation_digest":"sha256:323930811c9c014785a6aa047d93bedf85b15d9e0f0e97be137d385bcf9c42ac","observation_id":"ecf3f779-7e1b-49c2-88ef-5d99bd2b302e","resolution":{"observed_at":"2026-08-06T14:44:58.590618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.17963","last_updated":"2025-07-23T22:09:38Z","latest_version":1,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-09T10:22:10.163971Z","submitted_at":"2025-07-23T22:09:38Z","title":"Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA"},"reference_resolution":{"displayed":5,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":5},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2507.17963."}