{"as_of":"2026-08-24T01:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0794e0d7fc0fc605e9f89fc1dabe07d589a2372758e2e7aa297abe5f551abb46","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T00:20:05.605055Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2412.19537/citation-record","integrity":"/paper/2412.19537/integrity","json":"/paper/2412.19537/citation-record.json","paper":"/paper/2412.19537"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:20:06.594060Z","title":"Radar-based air-writing gesture recognition using a novel multistream cnn approach,","venue":null,"work_id":"049403da-5c5f-42d5-a860-f54496a24172","year":2022},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.320043Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:15eb22da9ac5f7c3ab0befefc41577c9b5841c184ea00d0c2a69ba18fa975d95","observation_id":"c89b4671-cacb-49dc-9833-850a51c3a089","resolution":{"observed_at":"2026-08-11T00:20:06.598351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.580378Z","title":"Nntrak: A neural network approach towards calculating air-writing trajectories in real-time with a smartwatch,","venue":null,"work_id":"583fef2a-c876-48f4-99da-958203ec8713","year":2023},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.325853Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:dad709a40c65c9d74cb0fed94589494856ce889e6958063f0dd23de1c23ab395","observation_id":"211508bd-f200-41e8-9d46-ea4cff01590b","resolution":{"observed_at":"2026-08-11T00:20:06.584905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.565820Z","title":"A unified cnn-rnn approach for in- air handwritten english word recognition,","venue":null,"work_id":"9c76b8b0-f261-4799-80d9-01d4354b8860","year":2018},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.330612Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:0180a374baf74dc8863e49ccc65a76589dda6765b3a6b7b294180c9c454b7a94","observation_id":"99c5ddbd-12a5-4f5a-b71f-aebf84594a9c","resolution":{"observed_at":"2026-08-11T00:20:06.570662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.552365Z","title":"Neuroair: Deep learning framework for airwriting recognition from scalp-recorded neural signals,","venue":null,"work_id":"ac89f518-3a1a-4330-80b0-07cd4456ba59","year":2023},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.335961Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:653b2720ca8d272d020a45dca5649c2b3e09675013e8013165d35b5bfc85fd1c","observation_id":"8c2bd5cc-9854-4c51-9f49-73cb7c291e83","resolution":{"observed_at":"2026-08-11T00:20:06.556604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.537814Z","title":"A wearable real-time character recognition system based on edge computing-enabled deep learning for air-writing,","venue":null,"work_id":"31cfb909-5274-4019-bab6-eb8b737dfe20","year":2022},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.340975Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:59f566de4a41ed7909cb18fbace4ffce932e62bf73e76759844a1dd53ca3e04a","observation_id":"33a65dc3-c58e-4e6f-b15f-79fa2681bd1a","resolution":{"observed_at":"2026-08-11T00:20:06.542876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:20:05.345593Z","title":"Language mod- els are few-shot learners,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.345593Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:b9d172f38c2b498f456fd55f992918b287d363221a81eb7ceabf2e6bbd35226c","observation_id":"cc99ea50-7d65-4f9e-a0bd-451cc6844995","resolution":{"observed_at":"2026-08-11T00:20:05.345593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.10360","last_updated":"2022-03-17T11:49:55Z","snapshot_observed_at":"2026-08-16T18:37:57.151597Z","submitted_at":"2021-03-18T16:30:26Z","title":"GLM: General Language Model Pretraining with Autoregressive Blank Infilling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.10360","snapshot_observed_at":"2026-08-11T00:20:05.350923Z","title":"Glm: General language model pretraining with autoregressive blank infilling,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.350923Z"},"links":{"cited_paper":"/paper/2103.10360","citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:a925dbd0e09ae1bd7fe4e056f05d01917a9362845b9bd0ad6dd8f90f13e115d6","observation_id":"0388593c-00e9-4650-b8af-f12373fff08c","resolution":{"observed_at":"2026-08-11T00:20:05.350923Z","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":"2026-08-11T00:20:06.513251Z","title":"A new writing experience: Finger writing in the air using a kinect sensor,","venue":null,"work_id":"bb31686c-1117-4dac-82e5-48f7be61d8a2","year":2013},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.355881Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:d67947dadb3759fe66abb34842632e8c37ddf46ef1cabbda25e3d3907685c091","observation_id":"4fecb572-14c5-4270-82c9-d2722ab5f1de","resolution":{"observed_at":"2026-08-11T00:20:06.517961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.498449Z","title":"Air-writing recognition—part i: Modeling and recognition of characters, words, and connecting motions,","venue":null,"work_id":"1400433b-32d2-4b8d-9593-85e0a543d8fe","year":2015},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.360454Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:6f33ae60e78a46523b9425599e75dbb292138d8e7cd55f7988c5c665e2b510e4","observation_id":"cd4cce9e-98fb-464c-8156-903601322a3e","resolution":{"observed_at":"2026-08-11T00:20:06.503385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.483012Z","title":"A pointing gesture based egocentric interaction system: Dataset, approach and application,","venue":null,"work_id":"80751f94-b525-4e8f-bfed-b451fa1fd449","year":2016},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.364788Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:ac4f9a5ef4e110e515a4dab7585812e75d3bc560e0bbdbb2090044d7eb6b88ef","observation_id":"b4c8958c-76b6-4002-b320-cc8dba49fbdc","resolution":{"observed_at":"2026-08-11T00:20:06.488642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.468564Z","title":"Air-writing with sparse network of radars using spatio-temporal learning,","venue":null,"work_id":"8e27dc7b-5882-468f-b848-d0c36fee9e4c","year":2020},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.369249Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:45451ae2c64330ed638fea872556a8e803e6078050afa693d7db1ff3ef191c99","observation_id":"76dc3c23-09ab-418d-b9db-5e430956d201","resolution":{"observed_at":"2026-08-11T00:20:06.473332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.453865Z","title":"Recognition of in-air handwritten chinese character based on leap motion controller,","venue":null,"work_id":"76b723b2-898c-4932-b6e9-110da4180363","year":2015},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.373826Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:7b8042d883fdb5ac068576cb678e65da097201d361d8af2be2edf155a627097d","observation_id":"0d6eebb7-5efd-46f3-b5a5-527473ec6ecc","resolution":{"observed_at":"2026-08-11T00:20:06.458705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.438487Z","title":"Data augmentation and direc- tional feature maps extraction for in-air handwritten chinese character recognition based on convolutional neural network,","venue":null,"work_id":"18cfc085-de0e-4dcd-8225-14762b439d00","year":2018},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.378003Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:704676bc704a5572b04b97cd794964ab7890ad2fbf4c723298eaf6a94418345b","observation_id":"033a6680-4008-4e87-b883-b183aee6f8c3","resolution":{"observed_at":"2026-08-11T00:20:06.443517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.424913Z","title":"In-air handwritten english word recognition using attention recurrent translator,","venue":null,"work_id":"1b6e5a91-8ec0-4edc-895b-4b0f01770a14","year":2019},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.382351Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:9c2e44a1e324642875d2eeaa7645702886be79c802a1c9ec4b863f8be1b60998","observation_id":"154be2bf-7e14-4768-9059-709e996e6366","resolution":{"observed_at":"2026-08-11T00:20:06.429093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.410407Z","title":"Compressing the cnn architecture for in-air handwritten chinese character recognition,","venue":null,"work_id":"cdc36fb5-43fe-4313-b87d-8cea9548447b","year":2020},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.386714Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:fe2ad977d5ef30854d45ca44fb4ff1f1616a24fe6f41c6e89d8ad82b874cafb7","observation_id":"7866a329-9dd7-4244-94f3-bad0ae6302ab","resolution":{"observed_at":"2026-08-11T00:20:06.415422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.395718Z","title":"Fin- gertip detection and tracking for recognition of air-writing in videos,","venue":null,"work_id":"1bd831a3-9661-43bc-8350-7c38d8966628","year":2019},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.391002Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:1b5a6cfc670b4d2372de3d379f8f442ba34225bbb73feee179944fa7c3928629","observation_id":"74826b9e-6752-46fb-94ea-0f4904884c3e","resolution":{"observed_at":"2026-08-11T00:20:06.399993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.381710Z","title":"Writing in the air: Unconstrained text recognition from finger movement using spatio- temporal convolution,","venue":null,"work_id":"860fa929-1d53-4048-a07b-92af1730a935","year":2022},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.395343Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:2d18fc94789a8b418932865b4857da902578daaaaea17494ecd7e13e590f91f6","observation_id":"e13e1b49-181e-45a0-803e-334f6d17bc3c","resolution":{"observed_at":"2026-08-11T00:20:06.386361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.367260Z","title":"Word naming and psycholinguistic norms: Chinese,","venue":null,"work_id":"bdef166c-b622-43bc-bf9c-01810ea85956","year":2007},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.400206Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:1b74214a83966f61ca011cc4789fed5a147748923e6bcfa48ff5629f4f366ad6","observation_id":"56a7ddd6-c715-4d60-8e06-d29680e60e38","resolution":{"observed_at":"2026-08-11T00:20:06.371755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.352453Z","title":"A novel vision- based finger-writing character recognition system,","venue":null,"work_id":"41597160-922e-45ec-b384-883ccbcef0a0","year":2007},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.404472Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:92a011cdbc10e8583ca0774b260ff89d4c7cab988285d85801f12f62d2df49da","observation_id":"a50c4088-b22e-477c-97b6-65ff4bf37c34","resolution":{"observed_at":"2026-08-11T00:20:06.357299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.337281Z","title":"Vision-based handwriting recognition for unrestricted text input in mid-air,","venue":null,"work_id":"362e2389-fdc0-48db-881e-ff7b8c29d419","year":2012},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.409120Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:fe1ca6fafac85d447c6f02d9a97e9e947c1bd935460c9391ceb02b8bc95582f7","observation_id":"edbd20a9-6958-40d9-b99d-8b650dd85557","resolution":{"observed_at":"2026-08-11T00:20:06.342428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:20:05.413646Z","title":"Writing in the air with wifi signals for virtual reality devices,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.413646Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:077e71485b868d6eaeedea2a37debfed381a19be8f25961b260856fcb2156b7c","observation_id":"39661d9d-8a52-4047-9da8-ca780e701c38","resolution":{"observed_at":"2026-08-11T00:20:05.413646Z","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":"2026-08-11T00:20:06.312454Z","title":"Glove-talk: A neural network interface between a data-glove and a speech synthesizer,","venue":null,"work_id":"8e3c5ac8-7dbc-4be6-8709-97a865dd6a68","year":1993},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.418013Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:bceac2c7410f3ce7ac3e7327620cd4acc5daf7e324a5d79c9c8839063b5c5292","observation_id":"6a880bdf-0630-4d33-af4d-3cb2c1f8d16f","resolution":{"observed_at":"2026-08-11T00:20:06.317384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.296978Z","title":"Twostick: Writing with a game controller,","venue":null,"work_id":"0c1274bc-d17f-4a20-ba6b-94bb4bf552b2","year":2007},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.422557Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:a95a8b760103499036f3e14f82cea0560bf158ddd03e94547a7239b5c236d60c","observation_id":"f5397203-c9b9-4dd7-ae13-e990820e7b38","resolution":{"observed_at":"2026-08-11T00:20:06.302388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.267538Z","title":"Airwriting recognition using wearable motion sensors,","venue":null,"work_id":"b24a3695-1c93-431a-b7e8-97ba464267f8","year":2010},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.427076Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:a1cf262f35e09ddcbc5bfcac815aeb595fed7b5cc9b76316d9d255bb36409239","observation_id":"4d8f36f8-6c58-47ee-906f-a57aca373c48","resolution":{"observed_at":"2026-08-11T00:20:06.286593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.224471Z","title":null,"venue":null,"work_id":"901069a1-3ada-4686-b32d-aadd01bb8aa7","year":2012},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.431662Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:d5f2e977b8fd00f9ff3b08d3e4a9ae7afc8f343beac635b78c61e8c39caac9bb","observation_id":"d1196c2a-9d16-4a60-a0fc-68fd568f1d6e","resolution":{"observed_at":"2026-08-11T00:20:06.240700Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.198725Z","title":"Airwriting: a wearable handwrit- ing recognition system,","venue":null,"work_id":"5725aaec-944c-4ea7-b2a3-cc480fb92c3c","year":2014},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.436071Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:b15aa5e50360b75ea2beaf65afbc37fefa343174b6073d87135368c2197816dc","observation_id":"a6bb4168-9c87-44ca-98d9-d0c2b5ffa5d2","resolution":{"observed_at":"2026-08-11T00:20:06.203447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.183605Z","title":"Writing in the air with wifi signals for virtual reality devices,","venue":null,"work_id":"749f9211-a30a-4f64-825e-144f318a80ac","year":2019},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.440734Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:e17ab24fa0838f62479f5da177685d0d31147ccb6f4705d7edbd133e2d445ad6","observation_id":"291876ff-8755-40e1-95f0-37af493a1a06","resolution":{"observed_at":"2026-08-11T00:20:06.188814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.168788Z","title":"Study of text segmentation and recognition using leap motion sensor,","venue":null,"work_id":"e16feff8-7d96-41de-abb3-94d620365d9a","year":2016},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.445509Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:501f2cc98705af4aa37fcf5b8d57252b27e40ab98cc14f69f397f69f0f970515","observation_id":"73e845da-3203-43ad-b75e-fde41341cbf1","resolution":{"observed_at":"2026-08-11T00:20:06.173477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.153582Z","title":"In-air handwritten english word recognition using attention recurrent translator,","venue":null,"work_id":"063125c3-97ab-4460-b27c-82cafdc72990","year":2019},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.450263Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:c0d6dd5a91c4cd2f0ee0f1fafc12e3096ca549a5ebd82349d618e4f2a0555779","observation_id":"012e9d6f-3f10-456b-bd1b-25630102e4b7","resolution":{"observed_at":"2026-08-11T00:20:06.158406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:20:05.454726Z","title":"In-air handwritten chinese text recognition with temporal convolutional recurrent network,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.454726Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:be7c3817147729798c461bf6f9d56c376f3ce0dc036aec56fcd6196c690823c6","observation_id":"54d0cb1a-f0cf-4386-a802-e39a9705fdad","resolution":{"observed_at":"2026-08-11T00:20:05.454726Z","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":"2026-08-11T00:20:06.130029Z","title":"Microsoft kinect sensor and its effect,","venue":null,"work_id":"a0adaee1-8e79-4336-964f-dc04c0d9b89a","year":2012},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.459283Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:ebabe4dcfab3a29a3a445b455d6b03a5d9031b317ba2d4c8fe8d32679185adef","observation_id":"f5d1ad28-5253-4067-90b2-c0d10c0cdcea","resolution":{"observed_at":"2026-08-11T00:20:06.135018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.116426Z","title":"Characters as graphs: Interpretable handwritten chinese character recognition via pyramid graph transformer,","venue":null,"work_id":"0aa0ac45-ab1c-498e-a50a-6d7a5eb3c344","year":2023},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.463760Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:83a871cbaab4feb0846d43a2ad6a86eefbec1721ea01d74e346be51e33b4af14","observation_id":"3307999e-51ed-44fb-b88d-6f1fa7c608be","resolution":{"observed_at":"2026-08-11T00:20:06.120920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.102972Z","title":"In-air handwritten chinese text recognition with attention convolutional recurrent network,","venue":null,"work_id":"076424b9-e65b-4860-968a-b409d7777a00","year":2023},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.468142Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:eee9766e6bc16184db317ba766394ceb8c10846df554d6e51096fb9bb1c7e8e1","observation_id":"fd923543-b187-439b-aa02-d7609c28ac4f","resolution":{"observed_at":"2026-08-11T00:20:06.107580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.088330Z","title":"Casia online and offline chinese handwriting databases,","venue":null,"work_id":"b51b6344-a9b2-4d13-8f70-764dc8ef2c34","year":2011},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.472528Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:d717b19b6f00d59ea346206ad325b7a44fb19e41b070e8b923091e5b2bb786bc","observation_id":"e0cd4073-7cce-4cf8-8541-2863a4e5da41","resolution":{"observed_at":"2026-08-11T00:20:06.093173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.073000Z","title":"An end-to-end air writing recognition method based on transformer,","venue":null,"work_id":"f6e31244-a706-476c-b8d7-0146111a82f3","year":2023},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.476954Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:222aaea0ba21de2ac05a06ce82171be8d45fe80adc4d35032753f35d73bd1b84","observation_id":"4f5636e5-b46d-4141-92b9-7be12499bab7","resolution":{"observed_at":"2026-08-11T00:20:06.077882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.058775Z","title":"3d fingertip and palm tracking in depth image sequences,","venue":null,"work_id":"dee43f13-02c6-4955-91c4-1fc6d8aa6150","year":2012},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.481717Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:62d72bfd66334afc462639ce1634e8104c507698632ef296611524ae399ca39c","observation_id":"08442d71-6f36-40cf-bf6f-ad096cdc0ee5","resolution":{"observed_at":"2026-08-11T00:20:06.063551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.043412Z","title":"Multi-touchless: Real-time fingertip de- tection and tracking using geodesic maxima,","venue":null,"work_id":"ba8c84cb-2b86-4516-ae45-7af8c96d21ef","year":2013},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.486272Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:8e9a2172454171ad28846d5658966319b74297d606b3e829fbc4bd8d58343264","observation_id":"328044cf-3632-445f-b63a-fa6656309c25","resolution":{"observed_at":"2026-08-11T00:20:06.048202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.028848Z","title":"Model-based 3d hand pose estimation from monocular video,","venue":null,"work_id":"53ee46e8-c179-4edc-8049-4c3fc6c28d51","year":2011},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.490570Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:4ba4c88d478b31042d9d765051864e737452c3a822d0c4376239b031f8a32dd4","observation_id":"f59eb675-60a7-4374-accb-49b7844934e4","resolution":{"observed_at":"2026-08-11T00:20:06.033701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:06.014594Z","title":"Spatio- temporal hough forest for efficient detection–localisation–recognition of fingerwriting in egocentric camera,","venue":null,"work_id":"b4c059ea-fba7-481a-a012-af609f656aa1","year":2016},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.494695Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:46858d201d3e9d36d76525c88098c1a90ce0ac541cddc0c972f61e3ee2364583","observation_id":"7e2fcc5e-966d-46c1-8837-6ef37bd2329d","resolution":{"observed_at":"2026-08-11T00:20:06.019560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.08172","last_updated":"2019-06-14T05:49:22Z","snapshot_observed_at":"2026-08-20T11:52:04.914215Z","submitted_at":"2019-06-14T05:49:22Z","title":"MediaPipe: A Framework for Building Perception Pipelines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.08172","snapshot_observed_at":"2026-08-11T00:20:05.498957Z","title":"Medi- apipe: A framework for building perception pipelines,","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.498957Z"},"links":{"cited_paper":"/paper/1906.08172","citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:19e7bd37f733bbec32983c7213e0ade6250d7942af7cb023914ac16a45cfd997","observation_id":"06f14982-e0bd-4a83-b20d-01a097eb4ea1","resolution":{"observed_at":"2026-08-11T00:20:05.498957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10214","last_updated":"2020-06-18T00:19:13Z","snapshot_observed_at":"2026-08-20T11:52:27.320361Z","submitted_at":"2020-06-18T00:19:13Z","title":"MediaPipe Hands: On-device Real-time Hand Tracking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.10214","snapshot_observed_at":"2026-08-11T00:20:05.503761Z","title":"Mediapipe hands: On-device real-time hand tracking,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.503761Z"},"links":{"cited_paper":"/paper/2006.10214","citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:803042c327ef71b6bf3279cb8ddb568f275a6414c85b3eb04273f39f8b86014b","observation_id":"bd69fca2-27f7-496c-887e-0cba25642a48","resolution":{"observed_at":"2026-08-11T00:20:05.503761Z","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":"2026-08-11T00:20:05.998385Z","title":"Dynamic attention guided multi-trajectory analysis for single object tracking,","venue":null,"work_id":"91ba74f0-e933-4136-98e9-90fba9ac54b0","year":2021},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.508609Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:cd8e81e5a1cb0fa8e4dcb093ed6a3499f7eec44cce2bbdcb89bc2a0fedff92fd","observation_id":"db7235f2-d86b-402e-99e0-ef11117f4161","resolution":{"observed_at":"2026-08-11T00:20:06.003904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.982121Z","title":"DFAT: dynamic feature- adaptive tracking,","venue":null,"work_id":"8683b0e9-dd3d-4d03-9ba2-5d49b64d8822","year":2023},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.513026Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:61d08be67216972970ea47c0b9b3807ecfbd08f4a0ce446765d3fb729552964f","observation_id":"060f9ddc-91c9-447e-9b10-7866add585a1","resolution":{"observed_at":"2026-08-11T00:20:05.987416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.966968Z","title":"Siamon: Siamese occlusion-aware network for visual tracking,","venue":null,"work_id":"bf12424d-83a9-41c5-88cc-10d29e248189","year":2023},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.517631Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:73eab573cf5b14e3c2de5597b196b8cf3bd13a2e5a1628d027aaf82297c7677b","observation_id":"9cdd8615-e4b8-4ac3-9edf-a343747c33e2","resolution":{"observed_at":"2026-08-11T00:20:05.971865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.952062Z","title":"Siamese-based twin attention network for visual tracking,","venue":null,"work_id":"860db98f-dd93-47d0-b82a-ecb2e75fb939","year":2023},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.521870Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:fbece3953238df4a1c8aaedd504b2a685b2ea2a96f746b36a25c155490c03beb","observation_id":"e30964cb-e264-468a-9ce5-618748716718","resolution":{"observed_at":"2026-08-11T00:20:05.956826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.937144Z","title":"Switch and refine: A long-term tracking and segmentation framework,","venue":null,"work_id":"d7e2a401-1b50-47e6-b54f-9708e240c28f","year":2023},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.526140Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:00f24d1a7f5cbf5feaaf8c7519e64e9bdfac208fb9db51beabac8ebbe44483fe","observation_id":"9b482c89-5108-40e2-bcf6-70cd31544380","resolution":{"observed_at":"2026-08-11T00:20:05.942246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.922236Z","title":"Icdar 2013 chinese handwriting recognition competition,","venue":null,"work_id":"fab7bb99-e6f7-4cf4-9470-fcdd4a21996a","year":2013},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.530406Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:8fa27fea67f50b8c25eede4b2896398f750612db43a9238145a28a3312ce5ca4","observation_id":"93ecbe3b-1052-48d0-87e9-951e3f8a45b2","resolution":{"observed_at":"2026-08-11T00:20:05.927026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:20:05.534576Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.534576Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:4ff54aa2354b050f5b5dc0d3d68380fc8dcfacdd20c14de268ff09e130834167","observation_id":"75dcaaa9-cb8a-44af-9773-560004de514a","resolution":{"observed_at":"2026-08-11T00:20:05.534576Z","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":"2026-08-11T00:20:05.897730Z","title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift,","venue":null,"work_id":"962fbd43-0d2b-4ac1-aaeb-b43fe33d505d","year":2015},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.538569Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:dc6a22866da2cb20dc31dc921f3eee3ed9f497136dba6df2342d1f898d1bdc01","observation_id":"ff1d091f-8ce4-43ce-bceb-560bca3e6636","resolution":{"observed_at":"2026-08-11T00:20:05.902589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.882210Z","title":"Dropout: a simple way to prevent neural networks from overfit- ting,","venue":null,"work_id":"64a5cd86-f174-475e-8aa2-cfc83da5ecf7","year":1929},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.542797Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:7ffbdd98a1912bdf6a3a93aea663373bca7d072437ac8571d187944e2205ea42","observation_id":"8b130a5a-030f-4bde-bf1b-b6a4b118e712","resolution":{"observed_at":"2026-08-11T00:20:05.887293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.867387Z","title":"Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,","venue":null,"work_id":"ca1b2b37-c507-407b-afdc-3f036d67b376","year":2015},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.547055Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:1ea3924c56df7b6a6513f1d54734cfb2d1f1cca957d5b782c23243ed472f1486","observation_id":"09a1df56-9c7a-4b57-bd43-c1d8f66f0ce7","resolution":{"observed_at":"2026-08-11T00:20:05.872467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.853120Z","title":"Graph attention networks,","venue":null,"work_id":"73496b43-be3d-4457-a8fd-1be2274e7937","year":2017},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.551624Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:bc885fc5c53fc01c3c1b30c6ef0083be833c85fdbfb152ecdf659e5cf4c8089f","observation_id":"940b2280-664c-42fe-a54d-0ed96fbe21aa","resolution":{"observed_at":"2026-08-11T00:20:05.857585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.838388Z","title":"Pytorch: Tensors and dynamic neural networks in python with strong gpu acceleration,","venue":null,"work_id":"1c5e513e-2a51-4bbc-a420-1d7edc90724f","year":2017},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.555799Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:cf5bc985ac51c4ed5075e9b70c248a982eb06a777654804cbbb96f30512092d5","observation_id":"6aada1b6-e07a-470b-9d3c-75a794bd97a6","resolution":{"observed_at":"2026-08-11T00:20:05.843400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-11T00:20:05.560112Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.560112Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:3444462d1930d516c77e29dbb2f724b357f8794948863a2f82e54f41d3cf90e9","observation_id":"9381d58e-3ea2-4dc3-89a4-37a4b076679a","resolution":{"observed_at":"2026-08-11T00:20:05.560112Z","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":"2026-08-11T00:20:05.822385Z","title":"The kinetics human action video dataset,","venue":null,"work_id":"6170f893-2f05-4b57-af13-4ec6b08bea0f","year":2017},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.564623Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:6c3f68b171d5ea940b27efbf4f7220a7140e7fa7b0ea3b7adcab804ea14f82c0","observation_id":"5a5aa358-309c-45e2-8a4d-e66b16840637","resolution":{"observed_at":"2026-08-11T00:20:05.827906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.806355Z","title":"Deep lstm networks for online chinese handwriting recognition,","venue":null,"work_id":"61b5806f-c129-429f-8fd4-1fadc5851918","year":2016},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.573297Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:a4efa8d23bc1d631f08f54bc2e30e4ee15c957f7148c2611525c693e624bafcd","observation_id":"dcd82eee-5e56-4ecd-9f53-4aa469044257","resolution":{"observed_at":"2026-08-11T00:20:05.811271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T00:20:05.791373Z","title":"A new perspective: Recognizing online handwritten chinese characters via 1-dimensional cnn,","venue":null,"work_id":"ef2c715e-044e-45a5-a7a0-fce3dbd07a17","year":2019},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.577419Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:7f0da70542ff2e17910bef425dabb59f956aa105acdc45f89fbc87dc90c1e4fe","observation_id":"3392ccdb-788d-4719-b664-5798cfba83e7","resolution":{"observed_at":"2026-08-11T00:20:05.796230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-08-19T04:42:40.974785Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-11T00:20:05.581654Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.581654Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:2b74b8ab87638667f84663e5ff5a680882de7ea77357984a14a6888a22cfd84c","observation_id":"07631588-7e16-41c1-a8a0-5382edc7e281","resolution":{"observed_at":"2026-08-11T00:20:05.581654Z","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":"2026-08-11T00:20:05.775791Z","title":"Connection- ist temporal classification: labelling unsegmented sequence data with recurrent neural networks,","venue":null,"work_id":"29ab8aa9-0259-424b-b9c7-34c5c5a3a0b1","year":2006},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.586619Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:ad568bddc8b51da66929af05b4a413be84f76255140ecb6bd0b78558aaaa98b2","observation_id":"a666e8e8-209a-49e2-b1de-9f6724a3b309","resolution":{"observed_at":"2026-08-11T00:20:05.780785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-17T10:49:36.026134Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-11T00:20:05.591096Z","title":"Semi-supervised classification with graph convolutional networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.591096Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:b76c940c20e7cd5abcd7e014f9342960abee96e0fbf740f846ecb690eae18cb0","observation_id":"12b88e64-8644-48ee-9995-ec5e16272de1","resolution":{"observed_at":"2026-08-11T00:20:05.591096Z","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":"2026-08-11T00:20:05.760716Z","title":"Drawing and recognizing chinese characters with recurrent neural network,","venue":null,"work_id":"e3e4ab41-6b28-4438-9209-b7e317738f27","year":2018},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.596108Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:5b569f719f6c68da71fbf9d3bb377beec73d591bcc6118216e97f710cc696e30","observation_id":"d4dd6dfc-20e8-40d5-ae1e-b8386e6aeef2","resolution":{"observed_at":"2026-08-11T00:20:05.765755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-11T00:20:05.600703Z","title":"An image is worth 16x16 words: Trans- formers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.600703Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:e0af6e8375a0f0137b84335883d9dea275da2ee465771ce37e1cd2a1d818f610","observation_id":"83d50180-2dc2-4ffa-9776-628cc67b8461","resolution":{"observed_at":"2026-08-11T00:20:05.600703Z","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":"2026-08-11T00:20:05.742752Z","title":"Neural machine translation by jointly learning to align and translate,","venue":null,"work_id":"8679610e-f32c-4540-b620-366fbf5189bd","year":2016},"citing_paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T00:20:05.605055Z"},"links":{"citing_paper":"/paper/2412.19537"},"observation_digest":"sha256:46d467d6fc2f14f260b8c50bdcd5df7e372a9fbf1e37463dbd44282506548767","observation_id":"8855e9bf-656e-4716-afb1-5299c9ce9ea2","resolution":{"observed_at":"2026-08-11T00:20:05.750124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.19537","last_updated":"2024-12-27T09:04:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-24T00:30:45.205466Z","submitted_at":"2024-12-27T09:04:04Z","title":"Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":51},"total_outbound_references":63},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2412.19537."}