{"as_of":"2026-08-14T02:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c54ae266617b9c202af61ab2a7e826597733ed5cb5e80d68d5151f3a46127ab","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:40:50.059572Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T10:35:42.203305Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-11T15:40:50.059572Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.10785","last_updated":"2024-12-14T10:47:17Z","snapshot_observed_at":"2026-08-12T15:38:32.675080Z","submitted_at":"2024-12-14T10:47:17Z","title":"StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T15:40:50.059572Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2412.10785"},"observation_digest":"sha256:b1b3a81a4fa35c2661c135ba6b274af919af0946d7a2e0c81ddca97d9336497f","observation_id":"2ec0f5ab-b294-4622-873c-b0a4bba4357a","resolution":{"observed_at":"2026-08-11T15:40:50.059572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-11T00:19:06.024315Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19543","last_updated":"2025-01-07T09:56:36Z","snapshot_observed_at":"2026-08-13T08:40:19.096013Z","submitted_at":"2024-12-27T09:10:30Z","title":"Diverse Rare Sample Generation with Pretrained GANs","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T00:19:06.024315Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2412.19543"},"observation_digest":"sha256:034890cb39b37ffa65cfc7641acbf54b54f3a4cc051d05ddc4be4eb6d1a7a114","observation_id":"aeefc599-37db-4ef3-8c9d-76c569a06599","resolution":{"observed_at":"2026-08-11T00:19:06.024315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-10T20:33:54.143445Z","title":"Facexformer: A unified transformer for fa- cial analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07978","last_updated":"2025-01-14T09:52:56Z","snapshot_observed_at":"2026-08-13T08:09:35.736153Z","submitted_at":"2025-01-14T09:52:56Z","title":"Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T20:33:54.143445Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2501.07978"},"observation_digest":"sha256:dd8b6418c6bcdeb77cd949fde5a6b9090db92277558774a845d25ba00e90c26e","observation_id":"719aa5fe-2e0a-4e13-9845-7ea75642b62f","resolution":{"observed_at":"2026-08-10T20:33:54.143445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-10T20:03:12.951968Z","title":"Facexformer: A unified transformer for fa- cial analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09502","last_updated":"2025-01-16T12:27:05Z","snapshot_observed_at":"2026-08-10T19:55:29.245089Z","submitted_at":"2025-01-16T12:27:05Z","title":"Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T20:03:12.951968Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2501.09502"},"observation_digest":"sha256:e2a9c70185e958485cce0b97bd2140d6e88b9bf4b82dce33d1fd638e4dd7ab80","observation_id":"c84c5988-b657-4157-a3a0-7ca8772c46bf","resolution":{"observed_at":"2026-08-10T20:03:12.951968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":"2403.12960","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-07-01T10:35:42.203305Z","title":"Narayan, V","venue":null,"work_id":"db90ffee-333b-4e39-96d5-05b94946a8b9","year":2024},"citing_paper":{"arxiv_id":"2503.09158","last_updated":"2026-05-09T06:28:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-12T08:33:46Z","title":"FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO","version":6},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-23T00:21:51.621582Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2503.09158"},"observation_digest":"sha256:1c2591141b4dcfda65098310b7bd7c6957711400241d2d8ae407b3667cfbd8e0","observation_id":"82c147ad-0894-4e09-8eb2-ebdd49fb9c34","resolution":{"observed_at":"2026-05-23T00:22:18.722641Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-07T12:33:53.917676Z","title":"Facex- former: A unified transformer for facial analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.917676Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:a7f80f5af19009471080ba9d6a4e1ba8ed99633e0dbe13d5c7ab9946013e45b0","observation_id":"b3eda719-3c14-4d2f-9f80-b30db19febfb","resolution":{"observed_at":"2026-08-07T12:33:53.917676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-07T11:17:04.603122Z","title":"Narayan, V","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02891","last_updated":"2025-06-03T13:56:10Z","snapshot_observed_at":"2026-08-13T17:12:46.665457Z","submitted_at":"2025-06-03T13:56:10Z","title":"OpenFace 3.0: A Lightweight Multitask System for Comprehensive Facial Behavior Analysis","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:04.603122Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2506.02891"},"observation_digest":"sha256:322594ebc0d4ac5cc2279aa3cd28a0e8761f3a232bd24863cc00e76452fc7a42","observation_id":"5303a5bb-46c2-47f2-b3cf-7873f80f3cf1","resolution":{"observed_at":"2026-08-07T11:17:04.603122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-06T17:40:11.537013Z","title":"Facexformer: A unified transformer for facial analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.10209","last_updated":"2025-07-14T12:27:09Z","snapshot_observed_at":"2026-08-13T14:42:48.116434Z","submitted_at":"2025-07-14T12:27:09Z","title":"Is Micro-expression Ethnic Leaning?","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:40:11.537013Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2507.10209"},"observation_digest":"sha256:6ddd80c82f41098da59ff86e0e91d07caf79db09536112f14a240958c0297d6e","observation_id":"749a55f7-9838-4fd0-b18a-8846c5381997","resolution":{"observed_at":"2026-08-06T17:40:11.537013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-06T17:39:41.576515Z","title":"Facexformer: A unified transformer for fa- cial analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.10300","last_updated":"2025-07-14T14:04:14Z","snapshot_observed_at":"2026-08-08T22:29:22.885986Z","submitted_at":"2025-07-14T14:04:14Z","title":"FaceLLM: A Multimodal Large Language Model for Face Understanding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T17:39:41.576515Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2507.10300"},"observation_digest":"sha256:1b05c6b0712146b2a62c48ffd58ac19fc02a4e79c09b7719e6ee405b2a1519a3","observation_id":"b9cc56b8-1335-4a3b-b9f8-2b1642d0a3cd","resolution":{"observed_at":"2026-08-06T17:39:41.576515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-06T16:24:48.246902Z","title":"Facexformer: A uni- fied transformer for facial analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13637","last_updated":"2026-06-24T08:13:26Z","snapshot_observed_at":"2026-08-07T22:35:50.548609Z","submitted_at":"2025-07-18T03:50:29Z","title":"Towards channel foundation models (CFMs): Motivations, methodologies and opportunities","version":4},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T16:24:48.246902Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2507.13637"},"observation_digest":"sha256:07a3a4ca4c27c1ccff3dd893a2bc87bb989e9b9ca6ae836bf9ef8d77d41a96d7","observation_id":"b75baa00-4131-4159-a083-58409ca68d12","resolution":{"observed_at":"2026-08-06T16:24:48.246902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":"2403.12960","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-07-01T10:35:42.203305Z","title":"Narayan, V","venue":null,"work_id":"db90ffee-333b-4e39-96d5-05b94946a8b9","year":2024},"citing_paper":{"arxiv_id":"2510.10417","last_updated":"2026-04-22T02:38:46Z","snapshot_observed_at":"2026-07-06T22:32:27.698678Z","submitted_at":"2025-10-12T02:56:40Z","title":"Combo-Gait: Unified Transformer Framework for Multi-Modal Gait Recognition and Attribute Analysis","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-18T07:31:55.248048Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2510.10417"},"observation_digest":"sha256:9cb4b1db91b49b4cd35be66b74666a5e81ccb97906c221a083073c6f184ebf43","observation_id":"6df480bf-6553-4a85-af6b-3d1f2e59fb43","resolution":{"observed_at":"2026-05-18T07:32:28.037757Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":"2403.12960","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-07-01T10:35:42.203305Z","title":"Narayan, V","venue":null,"work_id":"db90ffee-333b-4e39-96d5-05b94946a8b9","year":2024},"citing_paper":{"arxiv_id":"2606.32040","last_updated":"2026-06-30T17:59:57Z","snapshot_observed_at":"2026-08-10T04:14:40.957863Z","submitted_at":"2026-06-30T17:59:57Z","title":"FaceMoE: Mixture of Experts for Low-Resolution Face Recognition","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-01T05:22:19.609558Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2606.32040"},"observation_digest":"sha256:e05405cfb13c1336bc4e059880ee0ca8e8cae5a71a844394b24c649274cf9512","observation_id":"7450aab5-d381-4a44-bd67-4d046aeb5e35","resolution":{"observed_at":"2026-07-01T10:35:42.204873Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.12960/citation-record","integrity":"/paper/2403.12960/integrity","json":"/paper/2403.12960/citation-record.json","paper":"/paper/2403.12960"},"outbound":[],"paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2403.12960."}