{"as_of":"2026-08-11T17:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ef85ed8c74527803216a2e65f8ce6af9966b9cabab7675a22f5fd6f143c428e3","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:25:50.220581Z","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":"2026-08-11T06:34:44.6726+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/2507.00248/citation-record","integrity":"/paper/2507.00248/integrity","json":"/paper/2507.00248/citation-record.json","paper":"/paper/2507.00248"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:25:51.710125Z","title":"SLAIT’s real-time sign language translation promises more accessible online communication","venue":null,"work_id":"ecf9b7a8-80cb-4b6c-9822-e1bdfb122987","year":2021},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:49.327324Z"},"links":{"citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:210de3517c9933a854503a08c646c8eacfff78bf9a8c0081e6641b62b74f3558","observation_id":"849ebb59-af67-4f5a-aaed-d473618de1b5","resolution":{"observed_at":"2026-08-06T21:25:51.743419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.02321","last_updated":"2025-01-13T15:47:53Z","snapshot_observed_at":"2026-08-11T03:36:18.226703Z","submitted_at":"2025-01-04T15:59:33Z","title":"KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation","version":3},"cited_work":{"arxiv_id":"2501.02321","doi":"10.48550/arxiv.2501.02321","metadata_source":"pith","pith_arxiv_id":"2501.02321","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation","venue":"cs.CY","work_id":"dfad07d1-46c2-4c73-9592-3bf24d489fe7","year":2025},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:49.424509Z"},"links":{"cited_paper":"/paper/2501.02321","citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:2538795e86999ae6bc3063c4aa7f85145c2879fe2674c546d594540c6c7d4849","observation_id":"d14b4ec0-1a27-4ce2-a191-a435458ee682","resolution":{"observed_at":"2026-08-06T21:25:50.930863Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:25:51.607598Z","title":"Sing Language Recognition - ASL Recognition with MediaPipe and Recurrent Neural Networks","venue":null,"work_id":"731e4689-965d-4d95-85e9-87f0d9e6dce3","year":2020},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:49.493427Z"},"links":{"citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:198e6bf27364d10247a1da07dee9fc84457dd882d0ae677314806b87f229df76","observation_id":"ed534b19-323a-47dd-9265-b38b33805708","resolution":{"observed_at":"2026-08-06T21:25:51.651417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12369","last_updated":"2024-06-18T07:51:44Z","snapshot_observed_at":"2026-08-11T05:04:48.673136Z","submitted_at":"2024-06-18T07:51:44Z","title":"A Comparative Study of Continuous Sign Language Recognition Techniques","version":1},"cited_work":{"arxiv_id":"2406.12369","doi":"10.48550/arxiv.2406.12369","metadata_source":"pith","pith_arxiv_id":"2406.12369","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A Comparative Study of Continuous Sign Language Recognition Techniques","venue":"cs.CL","work_id":"6280eb3a-7ffa-42a9-9d21-1735097e0d03","year":2024},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:49.579865Z"},"links":{"cited_paper":"/paper/2406.12369","citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:0e05c79efb8d2d6886268d0fd775c083f923cbde9fe7d80130f079131963894a","observation_id":"f29ae677-a203-4754-815e-526ebb16028d","resolution":{"observed_at":"2026-08-06T21:25:50.778179Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12223","last_updated":"2025-02-17T14:31:00Z","snapshot_observed_at":"2026-08-07T18:12:21.030944Z","submitted_at":"2025-02-17T14:31:00Z","title":"GLoT: A Novel Gated-Logarithmic Transformer for Efficient Sign Language Translation","version":1},"cited_work":{"arxiv_id":"2502.12223","doi":"10.48550/arxiv.2502.12223","metadata_source":"pith","pith_arxiv_id":"2502.12223","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"GLoT: A Novel Gated-Logarithmic Transformer for Efficient Sign Language Translation","venue":"cs.CL","work_id":"7122d37e-5331-4ffd-9e66-96733ecd6815","year":2025},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:49.687046Z"},"links":{"cited_paper":"/paper/2502.12223","citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:5beb5bdc1798016e3605e46265749e71e25ed09f06a77c66bb76de475c3dbd0b","observation_id":"f81fcd57-9ca0-48a7-9d55-dfcfff13814a","resolution":{"observed_at":"2026-08-06T21:25:50.626842Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:25:51.448193Z","title":"Sign Language Structure: An Outline of the Visual Communication Systems of the American Deaf","venue":null,"work_id":"1d781026-fc8d-4810-946f-05e5d16be2f7","year":1960},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:49.775941Z"},"links":{"citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:e37843bd13abc49414dd1ecc4e2c088faa860ef76c5aeb9e1159fc6482cffa49","observation_id":"90c20b43-4fd0-4810-9c78-293ced8a3038","resolution":{"observed_at":"2026-08-06T21:25:51.499357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:25:51.278346Z","title":"Cross-platform, customizable ML solutions for live and streaming media","venue":null,"work_id":"ef411e15-1e12-43e6-95d1-6a4b744e78e8","year":2025},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:49.838959Z"},"links":{"citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:d61591f691673c9b16ad80779e9f4ba4858404cc4cba394ed45d73511040e7ff","observation_id":"df2fae71-2df3-4042-ad3e-e24675a64cec","resolution":{"observed_at":"2026-08-06T21:25:51.373367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.09525","last_updated":"2023-08-18T13:05:10Z","snapshot_observed_at":"2026-07-06T16:07:41.796478Z","submitted_at":"2023-08-18T13:05:10Z","title":"Improving 3D Pose Estimation for Sign Language","version":1},"cited_work":{"arxiv_id":"2308.09525","doi":"10.48550/arxiv.2308.09525","metadata_source":"pith","pith_arxiv_id":"2308.09525","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Improving 3D Pose Estimation for Sign Language","venue":"cs.CV","work_id":"8a7045b3-fe58-46ed-be4f-6e6ec6cdbacc","year":2023},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:49.884781Z"},"links":{"cited_paper":"/paper/2308.09525","citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:0ad09d53ba2f1ee1b0b7203810ede4e0bf446d06081796cb084ade90e1ef1bdb","observation_id":"891dcb86-cdf1-46c7-9270-5a55f83e7d46","resolution":{"observed_at":"2026-08-06T21:25:50.438021Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.05934","last_updated":"2023-06-20T03:20:18Z","snapshot_observed_at":"2026-07-06T15:14:55.628493Z","submitted_at":"2023-04-12T15:52:53Z","title":"ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.05934","snapshot_observed_at":"2026-08-06T21:25:49.999833Z","title":"ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:49.999833Z"},"links":{"cited_paper":"/paper/2304.05934","citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:8c3212c7ef4b858b3fdd7d3181edc52ca0e5edbb94d0dcb73122ea0e84d132d9","observation_id":"6282190d-a18f-4b77-b16f-7565b17a1231","resolution":{"observed_at":"2026-08-06T21:25:49.999833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09014","last_updated":"2024-12-24T05:41:32Z","snapshot_observed_at":"2026-08-11T07:41:54.986916Z","submitted_at":"2024-12-12T07:24:16Z","title":"Improvement in Sign Language Translation Using Text CTC Alignment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09014","snapshot_observed_at":"2026-08-06T21:25:50.075581Z","title":"Improvement in Sign Language Translation Using Text CTC Alignment","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:50.075581Z"},"links":{"cited_paper":"/paper/2412.09014","citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:3dbf97658e7169a0bcacc945589f5fd309e7c8520241e8050469505022154548","observation_id":"e0e82959-4b04-4d55-9e4b-1016e19b0915","resolution":{"observed_at":"2026-08-06T21:25:50.075581Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:25:51.154292Z","title":"Google Isolated Sign Language Recognition Competition","venue":null,"work_id":"d9ee2946-c1a5-4822-8145-7273fb2b11da","year":2023},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:50.153041Z"},"links":{"citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:0d178a2cb974c7da60a89a8df64dbcb268f09058eb639a7743bdacaba48b23f2","observation_id":"dc47646d-7ba0-4991-ab0c-52d1f655a09d","resolution":{"observed_at":"2026-08-06T21:25:51.206852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:25:51.057461Z","title":"ASL Signbank","venue":null,"work_id":"a0d86884-4a34-4fe6-b32c-ea724bd40405","year":2024},"citing_paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:25:50.220581Z"},"links":{"citing_paper":"/paper/2507.00248"},"observation_digest":"sha256:a61c542e79cf91934478f806c9159fdf1e80cd5990d5075daa35eeb37cd3b6a6","observation_id":"11f97c45-d7b3-4517-9841-78878a8d3e9e","resolution":{"observed_at":"2026-08-06T21:25:51.110659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00248","last_updated":"2025-06-30T20:34:54Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T03:36:37.930244Z","submitted_at":"2025-06-30T20:34:54Z","title":"Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":4,"verified_fuzzy":6},"total_outbound_references":12},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.00248."}