{"as_of":"2026-08-10T19:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:08a11c112dc84802d9f81e3be4f2d933b683faddc5f0daf082214efed1a45fe2","coverage":[{"denominator":77,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":77,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:37:40.853892Z","state":"measured"},{"denominator":77,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":77,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.01945/citation-record","integrity":"/paper/2506.01945/integrity","json":"/paper/2506.01945/citation-record.json","paper":"/paper/2506.01945"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.528040Z","title":"Financial vul nerability and risks to growth in emerging markets (no","venue":null,"work_id":"12e579f8-3818-422c-aed5-a968a9228707","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:34.508025Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:a5458be362b681aaf08ee7a6079a53d0c7866d974bcfd7a93222c82388d08112","observation_id":"7b4fdebe-f968-487f-9c35-d4b8aae226d3","resolution":{"observed_at":"2026-08-07T11:37:50.530961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.519029Z","title":"A new stock price forecasting method using active deep learning approach","venue":null,"work_id":"c6b7e9a3-efea-4b76-90e0-6d48b80d61fe","year":2022},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:34.549087Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:940e7326b9df48150ea78d45bca04f76d8332c5f60ea6067538ce04c5492062b","observation_id":"148b651e-3a7a-4146-9e07-e5c060417379","resolution":{"observed_at":"2026-08-07T11:37:50.522321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.01271","last_updated":"2018-04-19T14:32:38Z","snapshot_observed_at":"2026-07-06T06:26:27.965096Z","submitted_at":"2018-03-04T00:20:29Z","title":"An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.01271","snapshot_observed_at":"2026-08-07T11:37:34.645454Z","title":"An empirical eva luation of generic convolutional and recurrent networks for sequence modelin g","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:34.645454Z"},"links":{"cited_paper":"/paper/1803.01271","citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:b80bfbee537b218bd1f9699e1f7186edf758a4be30287f3a80cb7fd55a72c472","observation_id":"a9e8ee7a-e87e-435d-ae4e-9210cfe4569d","resolution":{"observed_at":"2026-08-07T11:37:34.645454Z","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":"2026-08-07T11:37:50.509882Z","title":"Autoregress ive convolutional neural networks for asynchronous time series, in: Internat ional Confer- ence on Machine Learning, PMLR","venue":null,"work_id":"6c8ad7f9-9dfa-434c-8928-73f1c916c7ce","year":2018},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:34.746915Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:c3e1672367eeb65771d93fb37f84964aaf44528cb05d8ac755fb90c107b272a9","observation_id":"e56b9f93-c506-44b7-a721-a148bace9e16","resolution":{"observed_at":"2026-08-07T11:37:50.513351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.500491Z","title":"The economist who invented the brics j ust invented a whole new group of countries: The mints","venue":null,"work_id":"8640c7ce-53ca-4190-ba0d-b0b2b3bf7154","year":2013},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:34.869849Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:454388d766a40c63cd331983cca562b7496a258843ccdee7cb554a83d51895a8","observation_id":"b3236687-e3e3-47e2-a195-6b3be2ffe770","resolution":{"observed_at":"2026-08-07T11:37:50.503615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.490720Z","title":null,"venue":null,"work_id":"71e1908a-5cbd-4243-95c0-70d5c419e3fa","year":2015},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:34.966686Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:00f3821ee504292a771fcd76c3802cf0d8b9eda02f5d2c49433e872173649471","observation_id":"477dae13-4cdc-4c00-abfe-9cf592febe3d","resolution":{"observed_at":"2026-08-07T11:37:50.493658Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.480682Z","title":"Mul- tiobjective evolution of fuzzy rough neural network via dis tributed par- allelism for stock prediction","venue":null,"work_id":"29c955e2-d2c7-46ba-a8b6-8028dfaba046","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.040447Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:621ea942ba9389d18a7db2d42a0b641a5fceea43354922652c4b02e5eeec5d5d","observation_id":"ab051e7d-dc87-4eb3-a11c-ed92801dccf1","resolution":{"observed_at":"2026-08-07T11:37:50.484784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.470843Z","title":null,"venue":null,"work_id":"2e8d83b5-634f-4f11-be23-04abeb9efbb1","year":null},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.140992Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:e64357dc87d56936606887eb1f354ca01214e17ecb362066b8d9994adec2fe80","observation_id":"6763b2fe-3bf3-4440-890f-b0ff7028555a","resolution":{"observed_at":"2026-08-07T11:37:50.474361Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.452497Z","title":"A hybrid fuzzy time series m odel based on granular computing for stock price forecasting","venue":null,"work_id":"f5a63936-5e28-4d9a-80e4-898d9c07a89b","year":2015},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.302588Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:177370ca3019bb8295a9bd10e0dc3ce9258fe023adcc6ba9fbc25705cda3c1ad","observation_id":"a72925a7-0ed3-4253-afee-8a1344d00fd8","resolution":{"observed_at":"2026-08-07T11:37:50.455715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.442231Z","title":"Multi- range attentive bicomponent graph convolutional network f or traﬃc fore- casting, in: Proceedings of the AAAI conference on artiﬁcia l intelligence, pp","venue":null,"work_id":"65734ec5-a7e8-4613-9d51-e29b3bb5aabd","year":null},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.416850Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:84038c20035109dce067a58cf7665c3b7aa861e6c18b555d18b53d53b59de9b6","observation_id":"0c574737-86d4-4e54-9e1c-f9a86b90486d","resolution":{"observed_at":"2026-08-07T11:37:50.445922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.431987Z","title":"A novel graph convo- lutional feature based convolutional neural network for st ock trend pre- diction","venue":null,"work_id":"48125042-deb6-4891-8c69-54e6f1321609","year":2021},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.485290Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:45c17652838d07d85fc849d9c4924b951b15e663a9d57e08571ec0673dbca710","observation_id":"99a1698f-1823-42b7-ba00-4ab2ff5ff96e","resolution":{"observed_at":"2026-08-07T11:37:50.436168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.422396Z","title":"Multi-channel fusion graph neu ral network for multivariate time series forecasting","venue":null,"work_id":"a3e011f9-d878-46d1-a9b6-3045d7dbc98c","year":2022},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.557665Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:49c132903a2b8ade7200a62c1d98ecfe40469f1dadb6ebe376d3c9934e7662cf","observation_id":"6ffae516-a240-4d44-bacd-db324f3a9e81","resolution":{"observed_at":"2026-08-07T11:37:50.425706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.412815Z","title":"A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting","venue":null,"work_id":"76e82a86-f9f9-4c53-8c1c-a1a3c556d681","year":2010},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.639545Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:5557bb442074ead272a7c062229ee49fc3079b043d321fa76000b6b70dcc06d7","observation_id":"6cd6af93-2005-4324-ae7c-507698c9b65d","resolution":{"observed_at":"2026-08-07T11:37:50.416078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1406.1078","last_updated":"2014-09-03T00:25:02Z","snapshot_observed_at":"2026-07-06T03:45:28.546418Z","submitted_at":"2014-06-03T17:47:08Z","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.1078","snapshot_observed_at":"2026-08-07T11:37:35.714916Z","title":"Learning phrase representations using r nn encoder-decoder for statistical machine translation","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.714916Z"},"links":{"cited_paper":"/paper/1406.1078","citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:5f72fc6ff765abc7d7abff9fe395b954b496e66c1de087c47654c72c077846f9","observation_id":"0260039f-6302-4735-87b2-962a1ca382d4","resolution":{"observed_at":"2026-08-07T11:37:35.714916Z","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":"2026-08-07T11:37:50.402485Z","title":"Deep learning netw orks for stock market analysis and prediction: Methodology, data represe ntations, and case studies","venue":null,"work_id":"deaca929-6c0e-4eb3-87cf-3c9cd6f6f6fe","year":2017},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.769016Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:11e2ee1ffbab6b0ee833b1785aff4a420f46839222c2f678cee9c04c01eff726","observation_id":"5c581ca2-a1fe-45c1-9ff2-73885912de0b","resolution":{"observed_at":"2026-08-07T11:37:50.406014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.3555","last_updated":"2014-12-11T06:46:53Z","snapshot_observed_at":"2026-08-10T04:10:43.257455Z","submitted_at":"2014-12-11T06:46:53Z","title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.3555","snapshot_observed_at":"2026-08-07T11:37:35.893038Z","title":"Empirical evaluation of gated recurre nt neural networks on sequence modeling","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.893038Z"},"links":{"cited_paper":"/paper/1412.3555","citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:cd8a5a95bfb53f2b6e2be624367ba4666a075e6b9c3258eb4b58d16e2ca65578","observation_id":"7c5f0387-4f35-44dc-a1ee-331f35baa60b","resolution":{"observed_at":"2026-08-07T11:37:35.893038Z","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":"2026-08-07T11:37:50.393108Z","title":"Metro: a generic graph neural network framework for multiva riate time series forecasting","venue":null,"work_id":"b7a39e1e-8acd-4c5a-b310-8563450d6be4","year":2021},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.960085Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:ec69cca9addda5d61ab871bc09a4fc5688e27d406ed9bf67d96e49213d9468c4","observation_id":"b74612cb-f880-43a9-8aa1-f761906490d6","resolution":{"observed_at":"2026-08-07T11:37:50.396395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.383552Z","title":"Knowledge-driven stock trend prediction and explanation v ia temporal convolutional network, in: Companion proceedings of the 20 19 world wide web conference, pp","venue":null,"work_id":"892a60ae-8506-46c7-a46f-519b97d6c4d1","year":2019},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.018132Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:0306f1c7bad11c73b82182924cebd8be356b4f9fcd6354bc48e7c9eb0ebd2d2a","observation_id":"89ad783a-cade-4965-8647-30bf35c690b8","resolution":{"observed_at":"2026-08-07T11:37:50.386806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.373992Z","title":"The mint countries as emerging econ omic power bloc: Prospects and challenges","venue":null,"work_id":"4ba74be0-659f-444b-9533-bc54ee52de51","year":2014},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.081911Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:90192e17c8752d37bd8d090a2a3fa12808d458f9bfc02285d43b3694949f5f33","observation_id":"499f022e-4365-4e17-a9e1-ae429e5e62cb","resolution":{"observed_at":"2026-08-07T11:37:50.377264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"statistics/1372791","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:41.071870Z","title":"G7 countries’ combined gross domestic prod- uct (gdp) as share of the world’s gdp from 2000 to 2023","venue":null,"work_id":"ca271c6b-1b56-443f-9d57-8adb7ddc292e","year":2024},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.153065Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:fe3449b4d27dc8e3aaa7d446056ef3f135f85689c89848046dba3d74671c3fa4","observation_id":"7b5643ae-c550-4195-b282-0fdb4f19fc22","resolution":{"observed_at":"2026-08-07T11:37:41.186848Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.364912Z","title":null,"venue":null,"work_id":"2733f640-d19d-4e6b-b6ee-c634b6d53705","year":2024},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.226430Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:ffee5c439cb406509ec9c421ee156005b036a45e4a8eb7df734cf3ca5b57f34b","observation_id":"c4eab7d9-6765-42d5-a001-674f9d61cdc7","resolution":{"observed_at":"2026-08-07T11:37:50.367953Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.281572Z","title":"E ﬃcient capital markets","venue":null,"work_id":"e8ef51d9-7cbd-49ae-a388-af17ae7d816e","year":1970},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.296715Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:3d63596d673cd46a9e912993f51f0f142db7359b648e41c8c80f6eed749cb9bb","observation_id":"e428e6e0-70a9-4b2b-a02c-53385e30141b","resolution":{"observed_at":"2026-08-07T11:37:50.345428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.174977Z","title":"Capital ﬂows, push versus pull fa ctors and the global ﬁnancial crisis","venue":null,"work_id":"859b62bc-edbc-4b45-a900-5f2bd1770fd7","year":2012},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.362281Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:246a079819332f7b74bff835377688539556ed9b0ff5c20c9b6ee5917abf2c4b","observation_id":"04ce33de-f863-494b-b0e0-343b9769e22d","resolution":{"observed_at":"2026-08-07T11:37:50.243355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:49.975956Z","title":"The application of st ock index price prediction with neural network","venue":null,"work_id":"4f54fa3e-76ea-4809-98dc-dfedb6a8bcf2","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.430959Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:2795ff1913f9a06250cfbd0ab5b81e1404952217735a2646bc4376aa01ac1b9d","observation_id":"11170704-638e-4b24-a99a-942b2ee22af5","resolution":{"observed_at":"2026-08-07T11:37:50.033803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:49.796659Z","title":"Comprehensive Guide to Dynamic Tim e Warping in Python","venue":null,"work_id":"5cdaabe8-b018-473e-9caf-2d724c191169","year":2018},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.492724Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:ec512a01e640ad12cab36eb0fdb7e833ada6325d59cf8db85be3300c13161387","observation_id":"f21cb241-ca45-43ed-a241-05c9e526505e","resolution":{"observed_at":"2026-08-07T11:37:49.880995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:49.715969Z","title":"Graph representation learning","venue":null,"work_id":"89888ac6-36fa-4453-81d1-fbfcc0f2ef6a","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.533262Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:5d3b5663836724ba8c51b3fa02bf87aa6f32cd61bfc678a0caea0f544cf6d4dc","observation_id":"4c69fc58-762a-4c13-8bf3-99e95a0c67fb","resolution":{"observed_at":"2026-08-07T11:37:49.738892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:49.400314Z","title":"Stock prediction us ing deep learning with long-short-term-memory networks","venue":null,"work_id":"ca363823-1e5a-45ef-9e8b-aa3aafaa6255","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.587671Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:94fa2dac968006060e677d0c9254608800091fe6631b2a8b316bf76e1c640e29","observation_id":"4087cdb2-8f27-4f58-9b31-d50075b5ca6c","resolution":{"observed_at":"2026-08-07T11:37:49.566604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:49.196026Z","title":"Multivariate time ser ies deep spa- tiotemporal forecasting with graph neural network","venue":null,"work_id":"a6047903-51a4-40b1-8001-1d4486cf5755","year":2022},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.656616Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:000d3325ca7944eeaf03b5b8dfe7878293a7b7d6392cdab6331c44e7ba79e701","observation_id":"30991d09-2868-4572-b6d0-8e9d4974a176","resolution":{"observed_at":"2026-08-07T11:37:49.316399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:49.116209Z","title":"Nse stock market prediction using deep-learning models","venue":null,"work_id":"02bb926b-b0eb-457c-a431-572c94cabe82","year":2018},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.721286Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:ac67f82854d965a0535fe6cd79784ebcd8c6e1edf8f27d26ed7651c0e735acb2","observation_id":"a42a5a88-8dfe-4cd6-9b7b-4afaa980c3dc","resolution":{"observed_at":"2026-08-07T11:37:49.187687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.992383Z","title":"Long short-term memory","venue":null,"work_id":"40e954b1-fce1-498f-9309-d42b0d2a6bf9","year":1997},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.777652Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:cd8300fa1ab08c4f514f7f0bbecbbc970479a186dbc41c54beee4d7ff7c8b7f2","observation_id":"c9841b8c-d5b7-4d39-b427-36d2b5f837d8","resolution":{"observed_at":"2026-08-07T11:37:49.053007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.873973Z","title":"St-trader: A spatial- temporal deep neural network for modeling stock market move ment","venue":null,"work_id":"cffed800-d598-4358-b67c-49f59466d999","year":2021},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.845277Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:aef6fbc32f84e30da46234d87dc263852e9f4dca9715449a79147c6bb5f27f70","observation_id":"f2366960-3cd8-40f4-a19a-7b8ed0f3c215","resolution":{"observed_at":"2026-08-07T11:37:48.927941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.764479Z","title":"Investing","venue":null,"work_id":"a2aee480-ab0b-474a-83c7-fe680957d33a","year":2024},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.896538Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:29ddae6a117dacecec5bdd8e34be517f2eb0c17767db2504bb80c76aa3013b5e","observation_id":"2db79ea6-d696-4e8a-b02b-e28474d58b55","resolution":{"observed_at":"2026-08-07T11:37:48.767384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.754340Z","title":"Forecasting realised volatility using arﬁma and har models","venue":null,"work_id":"8b78b669-7d69-4a30-a2c3-bff2156765c1","year":null},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:36.961006Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:d206ab5ec40981e403a45cc1be8b6ffeb5dc1c1205e1f5e415e896037249e6fe","observation_id":"36ace930-a2ce-4ca2-a68c-b47ae6298043","resolution":{"observed_at":"2026-08-07T11:37:48.757912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.744070Z","title":"Arima modeling with int ervention to fore- cast and analyze chinese stock prices","venue":null,"work_id":"35b1f5ef-b511-47ca-8b7b-a78e0d87b4c4","year":2011},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.035945Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:85a0a68c020d81ddf573b6feff9854d82e7a549448b69f56e3de2b9e10c39b9e","observation_id":"1635608e-42a6-43df-99a8-d269752ee176","resolution":{"observed_at":"2026-08-07T11:37:48.747635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.734429Z","title":"Mul- tivariate time series forecasting with dynamic graph neura l odes","venue":null,"work_id":"0cdea4f9-4221-455b-9098-961682bf28dc","year":2022},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.090340Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:43c743984c9f891772a984841cca006950af5ec7cb58b73be8a30f6adbc692a5","observation_id":"49a9ce9b-de4b-4358-a71e-5861f23a63a3","resolution":{"observed_at":"2026-08-07T11:37:48.737625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.723731Z","title":"Stock price forecast- ing using support vector machines and improved particle swarm optimiza- tion","venue":null,"work_id":"712e192f-7ca8-4938-9220-1edf236b236a","year":2013},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.150841Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:331b8adc910d4f10a2661b5513dd4ff8c826de0b8ac886cfe62179ee16c8863d","observation_id":"d7dd0dfe-b88b-4876-a6bf-f5ba6684d181","resolution":{"observed_at":"2026-08-07T11:37:48.727688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.01926","last_updated":"2018-02-22T19:52:51Z","snapshot_observed_at":"2026-08-01T21:20:06.448984Z","submitted_at":"2017-07-06T18:20:59Z","title":"Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.01926","snapshot_observed_at":"2026-08-07T11:37:37.207802Z","title":"Di ﬀusion convolutional re- current neural network: Data-driven tra ﬃc forecasting","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.207802Z"},"links":{"cited_paper":"/paper/1707.01926","citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:b68ce4c48c9b0bc6bb7366fbcea9c21223010744d4ec341d3fc19c839051a2d7","observation_id":"c7d45cbc-14af-46ac-bc4a-5528047e9e8d","resolution":{"observed_at":"2026-08-07T11:37:37.207802Z","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":"2026-08-07T11:37:48.712872Z","title":"Multivariate time-series forecasting with tempo ral polynomial graph neural networks","venue":null,"work_id":"ea26fd35-0f64-4eee-8f3e-79b985383e2f","year":2022},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.264384Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:56b1318f8fa2cf065edaa1358a2342dfc46e60fd75e02b112c0ebbb2bc548f1d","observation_id":"87f6c49a-dcd0-4614-b886-342c3bf08415","resolution":{"observed_at":"2026-08-07T11:37:48.716161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.702873Z","title":"An integ rated frame- work of deep learning and knowledge graph for prediction of s tock price trend: An application in chinese stock exchange market","venue":null,"work_id":"ffec87bd-f221-4a5b-ad0e-e5213c40ec49","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.320187Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:22449fc4e7d4f8b04fc2b7df8c7564b04677dfaf1571cebda67a053b804149dc","observation_id":"1d5938c3-9bf8-4b41-b05e-6d7f58ac3c70","resolution":{"observed_at":"2026-08-07T11:37:48.706420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.691361Z","title":"New Introduction to Multiple Time Series Analysis","venue":null,"work_id":"bbbaef18-817c-4c46-a561-d31b2e887795","year":2005},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.391577Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:5a675d717d51d9addff675abff60e3456a42bc52af0202d442fb80359fc401bc","observation_id":"6fbf7b45-727b-4ae6-8883-87f91f79fba0","resolution":{"observed_at":"2026-08-07T11:37:48.694818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.572191Z","title":"Investor sentiment and th e prediction of stock returns: a quantile regression approach","venue":null,"work_id":"064e33d1-e4d2-415a-bfe8-5224aa7597f8","year":2018},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.449714Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:41acfb5ed7a37076b43b2f867794b5b759754b92adfda213665d02b699bffda7","observation_id":"b8d95c12-0fb6-4630-8003-a9b78c0b60fe","resolution":{"observed_at":"2026-08-07T11:37:48.681564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.434729Z","title":null,"venue":null,"work_id":"c07db733-340f-48c9-8479-3a39f5086e81","year":2014},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.537267Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:fb27e14638d5121872eab795276f42a7066dd15d14a377d4f404114c5a4fc4fd","observation_id":"e9145f59-6d77-444b-8bbe-663aca7f234c","resolution":{"observed_at":"2026-08-07T11:37:48.502294Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.260321Z","title":"Dynamic time warping in information r etrieval for music and motion","venue":null,"work_id":"12d9b150-2f70-4e28-9eca-f01fd5d5f7eb","year":2007},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.628989Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:fede24f25dbc515a0220cec5750f3b66e763de85bb3121932918bfffeed901f9","observation_id":"c92cedc2-9aeb-4672-8fdc-7f876c836eeb","resolution":{"observed_at":"2026-08-07T11:37:48.343508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:48.038753Z","title":"Research guides: Mint: Sources of economic information","venue":null,"work_id":"9556117d-9b3a-4a0e-af39-dd27528439e4","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.728663Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:2b3441993a7876c871c7cc6cfe8b7db49b7fedc58b9d44bf94098cf74e7f5929","observation_id":"f8b61792-a3f1-4eb0-9281-00121e38002c","resolution":{"observed_at":"2026-08-07T11:37:48.146783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:47.966880Z","title":"Multi-step-ahead s tock price predic- tion using recurrent fuzzy neural network and variational m ode decompo- sition","venue":null,"work_id":"d71ce2da-af0a-4c13-b80e-e50aa8783256","year":2023},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.825109Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:7483118ae84f73977cbf5e8fe9d7834bf4d602b879802233f8932a2b5d526d90","observation_id":"ad85a0fb-186b-4af9-9a09-dc954ef06d3c","resolution":{"observed_at":"2026-08-07T11:37:48.021453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:47.753801Z","title":"World investment report","venue":null,"work_id":"771a7914-6ccf-453c-aa9d-3b837449cf06","year":2022},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.914978Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:163142a1be7dadd5a2611486a550657086f6d1a0f4558ccd07686dee4d29f34e","observation_id":"1efa3301-3b90-4556-9c2f-050c7daaa915","resolution":{"observed_at":"2026-08-07T11:37:47.845536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:47.501405Z","title":"The fresh challenge of the mint countrie s","venue":null,"work_id":"6808e1a5-d2b6-4e64-a410-4b619e53e057","year":2014},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:37.983598Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:1ecdcdcb67c129e7c7b4171f8199c21cecb0071ff3835c88d7180aaa1416786a","observation_id":"c294e5e4-313f-4660-ba37-800fffd2b332","resolution":{"observed_at":"2026-08-07T11:37:47.620801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:47.284395Z","title":"Stoc k price prediction using deep learning algorithm and its comparison with machi ne learning algorithms","venue":null,"work_id":"0a0f2c5e-0160-4731-9818-e1cc8a7f377e","year":2019},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.058731Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:7432a697a8a2dfd1acadc5c115b5a5e336490eb5269a31913c53416807716720","observation_id":"f8ac9fdc-4879-49f7-8000-1fe2e03a1140","resolution":{"observed_at":"2026-08-07T11:37:47.396554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:47.034630Z","title":"Stock price predic tion based on 11 error correction model and granger causality test","venue":null,"work_id":"fe2dac4d-5998-47f8-bdb6-1ab71d48cb89","year":2019},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.078765Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:a5813dcba3be1145b4f45ba5dce3c791e5e988e03ce5b75b7bea045c70fa7216","observation_id":"623b2cf2-2714-4f8c-8230-fd52533920f2","resolution":{"observed_at":"2026-08-07T11:37:47.165574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:46.834990Z","title":"Mint: meaning, history and econom ic overview","venue":null,"work_id":"a65c8a6a-45b0-4431-ac39-0a31b6a71466","year":2024},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.160808Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:bb5fdbc5def18d3caa8095b11711d683251761fbefaeb436490b3cf4a0ba0469","observation_id":"2bbe15ed-4b9b-4444-a70a-d969ba57058c","resolution":{"observed_at":"2026-08-07T11:37:46.907076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:46.556255Z","title":"Wa venet: A generative model for raw audio","venue":null,"work_id":"d136193d-798a-4cb2-8639-9e3b7606233b","year":2016},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.239594Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:a360082a75a6c66486879df4bc4fe508017106f96529740d748b0dae6459300a","observation_id":"44db9404-5d58-4aad-8f06-82383126fc6e","resolution":{"observed_at":"2026-08-07T11:37:46.663743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:46.271705Z","title":"Stock price forecast of ma cro-economic factor using recurrent neural network","venue":null,"work_id":"405931d3-0743-4429-8f48-0f6e9dec6694","year":2021},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.308802Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:d411cdcb408dd61d8a44b34221c470eb828f645e7ce1bf15f258d8df27b04bed","observation_id":"2b674239-50c3-4e9a-94a1-19c1f8e3d10e","resolution":{"observed_at":"2026-08-07T11:37:46.396143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:46.001260Z","title":"Understanding deep learning","venue":null,"work_id":"b315de06-bfed-489b-847c-eccad904e9d5","year":2023},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.438236Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:f6bfd5f202f82a8bdd27ef610264ce3859327f109016fff4fe7d55918e4b65ae","observation_id":"c46cde32-3ab9-4857-8ad4-ddef1ceec701","resolution":{"observed_at":"2026-08-07T11:37:46.100276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:45.714464Z","title":null,"venue":null,"work_id":"c09e2064-70b8-41dd-898a-139fedbe2906","year":2023},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.532139Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:a3218c1c479412da4afd318343706c13f424215472adc62c02fde85add9e45bb","observation_id":"967a3f8c-d500-41a5-961a-c9491727667f","resolution":{"observed_at":"2026-08-07T11:37:45.827975Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:45.518582Z","title":"Dilemma not trilemma: the global ﬁnancia l cycle and monetary policy independence","venue":null,"work_id":"77053543-2d6a-43dd-8a23-3c2a534f6d67","year":2015},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.626530Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:5072dfcb34d1961093f169d873473550c668e04b4421047dc714248933ce6e9a","observation_id":"3108a789-62f2-4657-8544-3a3db76d2494","resolution":{"observed_at":"2026-08-07T11:37:45.616616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:45.329697Z","title":"Stock price predicti on using regression analysis","venue":null,"work_id":"bd3a1cc6-7897-4e20-9465-8535ecee8ca7","year":2015},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.724827Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:8eed87b32698b3ca665a197eb1e39f849c30c1b7780b0898c2b3fc5a9e197336","observation_id":"aefb8923-3c5a-4d18-80c7-cf560cc053c8","resolution":{"observed_at":"2026-08-07T11:37:45.412348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:45.171545Z","title":null,"venue":null,"work_id":"6a105749-85c6-42fc-95be-1fb8b4f04b27","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.867288Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:963c7f420b6cf9d7a068f3b92b41c2a78263cc21eece57a5da3e56a4fb8f7eba","observation_id":"59e1ceec-148a-4c4c-9fd8-ff57213c9394","resolution":{"observed_at":"2026-08-07T11:37:45.265221Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:45.010770Z","title":"Ex ploring the scale-free nature of stock markets: Hyperbolic graph learn ing for algo- rithmic trading, in: Proceedings of the Web Conference 2021 , pp","venue":null,"work_id":"a318fad7-c685-4348-b3b2-dcb776a50afe","year":2021},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:38.987129Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:e6eeb395cfaf2f4e928df10e271a1631e1e690ab70c5677a63ed1bf026f60d40","observation_id":"dee19e4e-acd4-46e1-abc1-a0d994614228","resolution":{"observed_at":"2026-08-07T11:37:45.096078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:44.813657Z","title":"Spatiotempo- ral hypergraph convolution network for stock movement fore casting, in: 2020 IEEE International Conference on Data Mining (ICDM), I EEE","venue":null,"work_id":"1b6413a1-30e1-4fa9-9c3b-24784db0c8e1","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:39.115610Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:57d75005daec3ced1e6e820750a00c703245a12d76e167bddca05e974c786d3c","observation_id":"5f51809d-21f1-44ac-9c9a-ed45503d24f6","resolution":{"observed_at":"2026-08-07T11:37:44.906630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:44.632074Z","title":null,"venue":null,"work_id":"c4e5ddfd-44e7-4c18-85ae-24c3e878bdc7","year":2018},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:39.212829Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:3860d1e72ca6064a55e9f03d73ed598b0ea658a7efcb14f0dfdba20066fabedb","observation_id":"577e45f9-c6e8-45ea-9610-b042cca8d08f","resolution":{"observed_at":"2026-08-07T11:37:44.717202Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:44.434080Z","title":"Prediction of banking stock prices using naive bayes method, in: Journal of physics: Con ference se- ries, IOP Publishing","venue":null,"work_id":"8fa3ec0d-6034-456d-b163-73dc11185705","year":2021},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:39.304318Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:121b024eb239b182d901c02e1a3f324db9731555a8eaacc30a30ea71767e7883","observation_id":"19d60d32-ca1f-4579-9359-2b45caa0518e","resolution":{"observed_at":"2026-08-07T11:37:44.531748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:44.267324Z","title":"S tock price fore- casting with deep learning: A comparative study","venue":null,"work_id":"265eb9e1-68cc-40e1-8b98-50f5dfd9bce9","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:39.434525Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:189805df06378bc20337e24df95f4ecdf7409dfb05bcd52c406d417ff0250af6","observation_id":"7123ce95-704f-41b4-9f5b-d0ad24b3f0aa","resolution":{"observed_at":"2026-08-07T11:37:44.333395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:44.100148Z","title":"Assessing market integra tion between mint and developed economies: evidence from dynamic cointegrat ion","venue":null,"work_id":"ecd1bc4b-57dd-4c8d-8573-bded6f2e5938","year":2023},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:39.574399Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:bf1f29e0aa853b1eff3025e8a85b03986b0f38d901e3c4799cd704599976c5eb","observation_id":"e16c6481-abf0-4c92-b10a-23f2f989fc47","resolution":{"observed_at":"2026-08-07T11:37:44.180860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:43.947929Z","title":"Autoregressive models","venue":null,"work_id":"2452c820-dbcb-4426-8bda-e878688498f9","year":2024},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:39.665164Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:c119467c25c61a3b1eac016232318e8046de20f4f67703fcc700c3e6f7839474","observation_id":"c4ca3178-5b4f-4b7c-946a-5f0c6c3dcf33","resolution":{"observed_at":"2026-08-07T11:37:44.026273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:43.765440Z","title":"Comparis on of vector autoregressive (var) and vector error correction models (v ecm) for index of asean stock price, in: AIP Conference Proceedings, AIP Pu blishing","venue":null,"work_id":"32bc8e67-f4ac-478f-b9cb-fd2204d38e64","year":2017},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:39.814876Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:b877f3904de95e974785e782312b16496c82d4d35db53b844c209bca94dedeed","observation_id":"67ab25d8-105e-459b-950a-c6ae90042460","resolution":{"observed_at":"2026-08-07T11:37:43.835044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:43.569280Z","title":"The relationship between stock price index and exchange rate in asian markets: A quantile regression approach","venue":null,"work_id":"ae8b610a-2b52-494d-8c96-f62705ac7b64","year":2012},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:39.901074Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:af305248594253d3c45894bdebac8f873740b6e2f865fff2fa827179753b8de6","observation_id":"3250644a-f114-4695-87c6-0a5ed4eda9c1","resolution":{"observed_at":"2026-08-07T11:37:43.644115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:43.413691Z","title":"Determinants of stock market performance: V ar and vecm designs in korea and japan","venue":null,"work_id":"b4217ba8-4adb-41b8-a251-5d39d4bb69c8","year":2019},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:39.974820Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:7117d5956d82ee889dc47da9f01f3564cc5816a45b88a09c43dad6876430c3cb","observation_id":"1b64335a-081d-4b8f-8674-9264ed0a705d","resolution":{"observed_at":"2026-08-07T11:37:43.492512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:43.234397Z","title":null,"venue":null,"work_id":"92483ef7-a12f-44bd-bf21-9f7298b453c6","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:40.049298Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:533bc62c903ef2e475181e535c653d908f798cdd919f184127d874d740b82eb3","observation_id":"a3f99209-1c23-4698-9529-8ca3b04bb6f5","resolution":{"observed_at":"2026-08-07T11:37:43.334574Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.00121","last_updated":"2019-05-31T23:53:20Z","snapshot_observed_at":"2026-07-06T07:57:10.401964Z","submitted_at":"2019-05-31T23:53:20Z","title":"Graph WaveNet for Deep Spatial-Temporal Graph Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.00121","snapshot_observed_at":"2026-08-07T11:37:40.160238Z","title":"Gra ph wavenet for deep spatial-temporal graph modeling","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:40.160238Z"},"links":{"cited_paper":"/paper/1906.00121","citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:fa467c1bdb9ffcdb4ce609515d1af1a9210ac66336d6ca475df3339179bb439d","observation_id":"2f887a06-7c0d-47d2-9089-5f361c5374d2","resolution":{"observed_at":"2026-08-07T11:37:40.160238Z","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":"2026-08-07T11:37:43.023210Z","title":"Y ahoo ﬁnance","venue":null,"work_id":"b8bff17a-ac19-43ad-8195-c21c00fc0f5e","year":2024},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:40.248464Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:3e377fc2c87146e3f36ce7799460d7b3e7ca3ca78a389533e144f4b7ce0600a3","observation_id":"fa4da61e-810e-4f43-988c-51d02c2c33ba","resolution":{"observed_at":"2026-08-07T11:37:43.156150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:42.664053Z","title":"Spatial temporal grap h convolutional networks for skeleton-based action recognition, in: Proce edings of the AAAI conference on artiﬁcial intelligence","venue":null,"work_id":"7412895c-bed9-4436-b810-985375cf6a86","year":2018},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:40.399324Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:b99f83252de16c992846376dd1f8ec522a14fe1a5c68f0fbc43e55c1f747d345","observation_id":"5e3ca95d-f612-4891-9d17-fc6566bf78c3","resolution":{"observed_at":"2026-08-07T11:37:42.863600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1709.04875","last_updated":"2018-07-12T07:55:09Z","snapshot_observed_at":"2026-08-07T02:38:28.481487Z","submitted_at":"2017-09-14T16:54:41Z","title":"Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.04875","snapshot_observed_at":"2026-08-07T11:37:40.507173Z","title":"Spatio-temporal graph co nvolutional net- works: A deep learning framework for tra ﬃc forecasting","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:40.507173Z"},"links":{"cited_paper":"/paper/1709.04875","citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:f0ad9e1ba13aa60bd3dd137c0aba915d9c4001af825798c3407be582c1ae21d9","observation_id":"0926eb36-5640-4e32-8aa0-5fae87ab16f1","resolution":{"observed_at":"2026-08-07T11:37:40.507173Z","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":"2026-08-07T11:37:42.357262Z","title":"Time series forecasting using a hybr id arima and neural network model","venue":null,"work_id":"331864b7-9ccc-48b6-a952-ac7521b7174a","year":2003},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:40.600187Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:2842cca22365db657e9d02c6411e8a18002e9263fcd1d95ed061b4d81e5ec712","observation_id":"2fef887d-cbcd-427b-82a1-cc5150d5d477","resolution":{"observed_at":"2026-08-07T11:37:42.509389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:42.050008Z","title":"Stock market volatilit y spillovers in g7 and bric","venue":null,"work_id":"d09687e5-371e-4d1f-9026-4d5339313ea7","year":2021},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:40.667262Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:544d4d47d13a0e7295306f4032f1b8c6af14544fd0a92d649d8bbcf1c6da6b97","observation_id":"44eaf9a4-1c32-4f34-9275-12f125aa82e6","resolution":{"observed_at":"2026-08-07T11:37:42.202241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:41.674720Z","title":"Gman: A graph m ulti- attention network for traﬃc prediction, in: Proceedings of the AAAI con- ference on artiﬁcial intelligence, pp","venue":null,"work_id":"82370291-d473-416e-84a2-9fefe9ab6e1a","year":2020},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:40.761531Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:5a1a235a42b579e0b53c2bcddf7ba86ba5073f06477207eeaa1065cfe927c430","observation_id":"3e8c5852-869b-4f31-92d8-4dae47c9989c","resolution":{"observed_at":"2026-08-07T11:37:41.883152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:41.338643Z","title":"Modeling ﬁnancial time serie s with S-PLUS","venue":null,"work_id":"ab50f21d-5908-4596-9976-20e89e2fd819","year":2006},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:40.853892Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:788fc8113ee73db17a23cc5cd5531c57df3673f6e09a4f0c85ab1c8206bb39d0","observation_id":"e9f5a5a2-1a3d-4ecb-a009-6320a03246eb","resolution":{"observed_at":"2026-08-07T11:37:41.521604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:37:50.461499Z","title":"IEEE Transactions on Knowledge and Data E ngineering 35, 10748–10761","venue":null,"work_id":"ae31608c-934a-4d1b-8faa-64f4ddcb86b0","year":null},"citing_paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:35.207980Z"},"links":{"citing_paper":"/paper/2506.01945"},"observation_digest":"sha256:224c479eaab3f8e71c667a88d6ad54796b009abb3130ac9032ba5b78d88d4826","observation_id":"dc51d33b-a728-4167-af65-12486404e45f","resolution":{"observed_at":"2026-08-07T11:37:50.464635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.01945","last_updated":"2025-06-02T17:58:21Z","latest_version":1,"primary_category":"econ.EM","snapshot_observed_at":"2026-08-07T11:28:32.871605Z","submitted_at":"2025-06-02T17:58:21Z","title":"Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries"},"reference_resolution":{"displayed":77,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":1,"verified_fuzzy":62},"total_outbound_references":77},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2506.01945."}