{"as_of":"2026-08-10T00:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d340dfb579dc3421352d79ca49adb65df5da8a8f949edd6a59a03c51f8120e3a","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-01T06:52:34.592172Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2606.31135/citation-record","integrity":"/paper/2606.31135/integrity","json":"/paper/2606.31135/citation-record.json","paper":"/paper/2606.31135"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-06T17:02:40.697117Z","title":"Ahmed, M","venue":null,"work_id":"8628790e-4a2d-43c7-8c3b-861859def2f0","year":2025},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:53d1805732af386694478f15594d8941d3a6bdca7b453897c9ad0bba83cfd31d","observation_id":"ccee1752-0b2d-4dbe-b3ca-74888a269bd9","resolution":{"observed_at":"2026-07-06T17:02:40.705052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.00155","last_updated":"2020-08-15T01:26:48Z","snapshot_observed_at":"2026-07-06T08:33:58.970043Z","submitted_at":"2019-11-01T00:09:37Z","title":"Centroid Based Concept Learning for RGB-D Indoor Scene Classification","version":4},"cited_work":{"arxiv_id":"1911.00155","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1911.00155","snapshot_observed_at":"2026-07-01T06:55:29.035279Z","title":"Ayub and A","venue":null,"work_id":"3624f3a0-88b2-4528-b933-bacae23ffaee","year":1911},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"cited_paper":"/paper/1911.00155","citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:d7952856215711834f7c12335f11c50df721cb245640267b6fe21677d2a45874","observation_id":"03db3aa6-6290-4061-87d6-fae84a110fab","resolution":{"observed_at":"2026-07-01T06:55:29.037893Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.15417","last_updated":"2025-05-21T12:00:37Z","snapshot_observed_at":"2026-08-07T15:15:52.697502Z","submitted_at":"2025-05-21T12:00:37Z","title":"Robust Multimodal Learning via Entropy-Gated Contrastive Fusion","version":1},"cited_work":{"arxiv_id":"2505.15417","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.15417","snapshot_observed_at":"2026-07-01T06:55:29.039256Z","title":"Chlon, M","venue":null,"work_id":"e15d5bd9-2b5d-4e60-aef1-76e7c28a5867","year":2025},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"cited_paper":"/paper/2505.15417","citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:ad1e8d213852f2c7b88d69ef1207d5cfb62791c8aefb80516d591b31e30bfb6f","observation_id":"61587747-ff6a-4bc4-adc9-3658ffeabde3","resolution":{"observed_at":"2026-07-01T06:55:29.042113Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.718267Z","title":null,"venue":null,"work_id":"107da508-8e65-4090-b7ae-4b4a0060d50b","year":2017},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:fc8cfebc07d57f056efc317f081308e0e89acdb7bb324b7444474711e0e25437","observation_id":"7b3da619-8b2b-43c6-b2eb-2c7b66f071cb","resolution":{"observed_at":"2026-07-06T17:02:40.719579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11357","last_updated":"2019-10-01T01:29:58Z","snapshot_observed_at":"2026-08-07T00:57:16.052367Z","submitted_at":"2019-07-26T01:50:31Z","title":"DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation","version":2},"cited_work":{"arxiv_id":"1907.11357","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1907.11357","snapshot_observed_at":"2026-07-01T06:55:29.044403Z","title":null,"venue":null,"work_id":"82e35573-5da7-498c-80af-67b3720c30f9","year":1907},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"cited_paper":"/paper/1907.11357","citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:3ec348e07407859078b10393e4321a55168ec7a9ec30c26886c43db4debca1d6","observation_id":"b8b1d0dc-6cef-48b5-a879-9635d7af2349","resolution":{"observed_at":"2026-07-01T06:55:29.046796Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.692137Z","title":null,"venue":null,"work_id":"6ae7d5b8-cc12-4918-8ef5-b7acd5f1eb9c","year":2019},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:edf03f95103ff60c9418524eb6eb14fcca6db35a742237e15c51ce67dc3873e3","observation_id":"26597a1d-9aaa-4799-8ead-53636c859698","resolution":{"observed_at":"2026-07-06T17:02:40.694050Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.721459Z","title":null,"venue":null,"work_id":"d36b0c20-52f8-41fe-b2f5-3330e5f20feb","year":2025},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:42b701faab4058dd78a72eea29f1c3b65a78e731cf1f74d64924ef3cff4c16f4","observation_id":"a25278b2-22eb-4774-bbab-c7cd7e63e863","resolution":{"observed_at":"2026-07-06T17:02:40.723063Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.687605Z","title":null,"venue":null,"work_id":"ab0077dd-729a-4437-afd4-5a36f654aa17","year":2015},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:e4f78e35b40328dc859032a79bffa352089b1d513161bfe82219cf328e004a8c","observation_id":"433edd56-a50f-46c0-9624-b21d454d0fea","resolution":{"observed_at":"2026-07-06T17:02:40.689430Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-07-06T20:15:31.955797Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"cited_work":{"arxiv_id":"2501.00865","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.00865","snapshot_observed_at":"2026-07-01T06:55:29.048814Z","title":"Magal, M","venue":null,"work_id":"c5ce497d-4b96-450f-ac83-dbe5f6c8fcb4","year":2025},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"cited_paper":"/paper/2501.00865","citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:9a135ff3b7902d2ab05988ae4a6907bccc63c796f994cd7b0d38c6fecdcb30e1","observation_id":"b3163f08-5a88-464c-a9d8-25752707dcfe","resolution":{"observed_at":"2026-07-01T06:55:29.051106Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.714774Z","title":null,"venue":null,"work_id":"22f6391a-11d8-43c7-8d47-367b51519368","year":2009},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:7f407faabdbbd239732a50df9018ec142c3799d9907d02a2d1a97ab0db53c5d1","observation_id":"0197c07e-be63-4dfe-8760-223f9dbe5ab5","resolution":{"observed_at":"2026-07-06T17:02:40.717274Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1501.00102","last_updated":"2015-06-06T14:46:33Z","snapshot_observed_at":"2026-07-06T04:05:04.005841Z","submitted_at":"2014-12-31T09:55:43Z","title":"ModDrop: adaptive multi-modal gesture recognition","version":2},"cited_work":{"arxiv_id":"1501.00102","doi":null,"metadata_source":"pith","pith_arxiv_id":"1501.00102","snapshot_observed_at":"2026-07-01T06:55:29.030802Z","title":"ModDrop: adaptive multi-modal gesture recognition","venue":"cs.CV","work_id":"9fdfcebd-62da-4855-ba36-1e3ed47244ef","year":2014},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"cited_paper":"/paper/1501.00102","citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:0cb60658d43bdd5755c4cdc0f660b4e12e4ba52c9e1084b6f353310d3048ce02","observation_id":"ad8db915-39b4-4e37-bf58-c97125802ca2","resolution":{"observed_at":"2026-07-01T06:55:29.033056Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03010","last_updated":"2024-10-07T18:12:25Z","snapshot_observed_at":"2026-07-06T19:27:25.061335Z","submitted_at":"2024-10-03T21:41:12Z","title":"MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection","version":2},"cited_work":{"arxiv_id":"2410.03010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03010","snapshot_observed_at":"2026-07-01T06:55:29.026949Z","title":"K., Patil, A., Solh, M., and Asif, M","venue":null,"work_id":"1c2fd4af-82bf-4c7e-8a21-7c814205c7b9","year":2024},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"cited_paper":"/paper/2410.03010","citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:abadfb5889546383f5b22fd42fc5284b2389565fadcc75f460999c9ecd2ba875","observation_id":"3db7c4d2-ded2-4cc6-b2ce-27dd9e3f129d","resolution":{"observed_at":"2026-07-01T06:55:29.028938Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.718647Z","title":null,"venue":null,"work_id":"4534a125-d7bb-41c1-8a3a-358ccd178891","year":2014},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:1e6ec08e3380bf00510aa799849685fe2623f2cdfaab74b03dda277b9634288b","observation_id":"91499e80-c3f8-4daf-96d6-1972638a1c40","resolution":{"observed_at":"2026-07-06T17:02:40.720274Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.709971Z","title":"Silberman, D","venue":null,"work_id":"c8d6e45c-2e01-49d8-b34a-ef8c475b769c","year":2012},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:8cc9349baa509549e03babd929b5b3c51057e5b042c033eeef5d58411dc18461","observation_id":"7b11014e-1c9a-4026-b6cc-b47834a756d6","resolution":{"observed_at":"2026-07-06T17:02:40.712657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.716234Z","title":null,"venue":null,"work_id":"c5a3fc32-5862-4606-81d5-74119e7c72a4","year":2015},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:a1ce9df4b96985d9240f2990698ea645b4762a5b4c1b71f06f4b6f52a6450268","observation_id":"55bbfacf-a3ef-426d-9a34-27bcf92ce5de","resolution":{"observed_at":"2026-07-06T17:02:40.717845Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.673592Z","title":null,"venue":null,"work_id":"3af3f1b4-0564-4ffc-b599-e68155b421a8","year":2017},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:d58d09fb66aa59afd78694c34a1023dd8af2bebeab8a77d5970ebcccbeb5cffb","observation_id":"73d842b9-430b-4973-9d40-94aad124edac","resolution":{"observed_at":"2026-07-06T17:02:40.675193Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.695580Z","title":null,"venue":null,"work_id":"c2056288-ed44-4dd7-b675-879824c69030","year":2016},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:e262a27ff0adde74d5be217936110f27df253dd9178e6d4212ea8eb1c349de0a","observation_id":"f157bae6-f9e1-45e3-a7e4-f0ee0dec99bd","resolution":{"observed_at":"2026-07-06T17:02:40.704268Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.705323Z","title":"Wang and U","venue":null,"work_id":"e3a33605-ee17-458d-bd50-753c3d5a56cc","year":2018},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:75d66e190830da27384e98c6eab17f58950cf4f32afa8e57532e1ba5bc1c62b3","observation_id":"1e0e817c-da2c-4f6c-a29b-ab6aec3b52c9","resolution":{"observed_at":"2026-07-06T17:02:40.707833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.677575Z","title":null,"venue":null,"work_id":"f4d27781-563b-40f0-983e-614019ea0aa2","year":2023},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:b7efcbb3134ccdfa84a855e89496584c698dd0e5ee368eca8d50e3cb74ab0cca","observation_id":"141be29b-3cea-4c3a-9a4e-fcf0f4656678","resolution":{"observed_at":"2026-07-06T17:02:40.680258Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.711960Z","title":null,"venue":null,"work_id":"532ec827-081f-4f82-add9-d858cdffdc19","year":2024},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:8d899f5b3d5ee9c88aaa793937fb70085435fe7b768f4931a5b3a938237f6699","observation_id":"252488cc-592b-4339-a368-d34e5ea237e7","resolution":{"observed_at":"2026-07-06T17:02:40.714338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-07-06T17:02:40.706439Z","title":"aug prob","venue":null,"work_id":"76a8c9d3-1a64-496b-ba39-33dd6599d270","year":2025},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:2f590c15fecd105de0dd31b8c04d60732902e9dcea1b073e858556ae48c0c599","observation_id":"738730f8-3650-4698-9a64-d06a6b01af3c","resolution":{"observed_at":"2026-07-06T17:02:40.708090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":6,"verified_fuzzy":4},"total_outbound_references":21},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2606.31135."}