{"as_of":"2026-08-20T18:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a399e6c79e415f0be92cf50adf06a95faa67fe70bb20771773df59f3d0277cf8","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:37:08.628674Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2501.01158/citation-record","integrity":"/paper/2501.01158/integrity","json":"/paper/2501.01158/citation-record.json","paper":"/paper/2501.01158"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:37:08.865975Z","title":"In: International Joint Conference on Artificial Intelligence (2020)","venue":null,"work_id":"5d53c94f-cc86-47e8-ae2a-e43ebd0bae83","year":2020},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.562516Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:cdeb80db54ced081b46703fa510b20187b6ce6e59aed7d1af1c6ff73d7750e23","observation_id":"5c32826f-f3be-4f41-aa1f-962342bd67a6","resolution":{"observed_at":"2026-08-10T22:37:08.868930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.856147Z","title":"In: Demner-Fushman, D., Cohen, K.B., Anani- adou, S., Tsujii, J","venue":null,"work_id":"9daf90d1-3b15-47b2-943f-3c9506bd5ebe","year":2018},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.566293Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:2fa3c80ae9e1f601778e8bb26872c8de90ca74f48bada67e46011dc81177b069","observation_id":"3a153deb-40a9-4f6b-b134-d1075ce9e66f","resolution":{"observed_at":"2026-08-10T22:37:08.859464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.846332Z","title":"In: Pro- ceedings of the 29th International Conference on Computational Linguistics","venue":null,"work_id":"02e49fbd-0f19-40a5-947b-007964f086b1","year":1953},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.569499Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:e9df43bcbc1b557e1fa1b4dda1db2615c0995a4f93a312a055488b7deaf18ad6","observation_id":"f5d27f8e-50cf-409d-b93a-4c04e20313cb","resolution":{"observed_at":"2026-08-10T22:37:08.849482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.836850Z","title":null,"venue":null,"work_id":"ea5cf5cc-e12d-4149-9632-c878e0f24351","year":2017},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.572901Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:45dc83ded0be1cfb1b87866d14e2f3b746f2339967c4664bd3246fe178e27950","observation_id":"86e952aa-e7b2-4a3a-8fac-76d6653d8872","resolution":{"observed_at":"2026-08-10T22:37:08.840000Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.826598Z","title":"In: Inui, K., Jiang, J., Ng, V., Wan, X","venue":null,"work_id":"54330581-126d-4b85-ac7e-ad56d3fb4c4b","year":2019},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.577004Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:7c940bbc3ff9101a1ce8bdfd980d1f0bc9005c98b4002ccc929d382e4f48801b","observation_id":"15167812-f41c-40fd-beb0-64c271d33266","resolution":{"observed_at":"2026-08-10T22:37:08.830240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.00102","last_updated":"2023-04-08T05:54:15Z","snapshot_observed_at":"2026-08-17T03:23:40.870682Z","submitted_at":"2022-09-30T21:33:51Z","title":"MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization","version":3},"cited_work":{"arxiv_id":"2210.00102","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.00102","snapshot_observed_at":"2026-08-10T22:37:08.670463Z","title":"MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization","venue":"cs.LG","work_id":"759295ab-f9a6-49f3-b44a-780aa1d78bcf","year":2022},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.581473Z"},"links":{"cited_paper":"/paper/2210.00102","citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:4860520fc8e381df8966583297e3b3a30e335fb9b1de0760f496ecf696b54b5e","observation_id":"7f9d82bc-85e1-47c7-9659-0c2afffc8b46","resolution":{"observed_at":"2026-08-10T22:37:08.676949Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:37:08.586223Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.586223Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:1a81a76a97b86ecbb0592cf6f36c00e42789191dc7195900e859bc0d0a6a7402","observation_id":"d60cf5d6-82c2-4c64-9b49-972c86c9581c","resolution":{"observed_at":"2026-08-10T22:37:08.586223Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-10T22:37:08.816980Z","title":"In: Proceedings of the 57th Annual Meeting of the Association for Com- putational Linguistics","venue":null,"work_id":"5530a9c5-e4d1-4a4a-aee0-8591cab89ced","year":2019},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.589961Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:8784ad4b8d06a79244d9f55fa36eaa6db17e6e9b913336b12ebe4dbef12025e1","observation_id":"27707851-f9c8-4efb-8fb4-4e14b892d585","resolution":{"observed_at":"2026-08-10T22:37:08.820293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.808115Z","title":"In: Burstein, J., Doran, C., Solorio, T","venue":null,"work_id":"81a9c470-5d85-4f57-9efc-f1f34c065e23","year":2019},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.593679Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:5f5fd81ca4162e14a88c2e091a1cd92bfe570f252d36814f524e7cbaed4e694e","observation_id":"f30a1a29-5bfe-4aef-96e6-eaf6cb0a886e","resolution":{"observed_at":"2026-08-10T22:37:08.811295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.797515Z","title":"In: Proceedings of the 58th Annual Meeting of the Associa- tion for Computational Linguistics","venue":null,"work_id":"f385c8f3-07c7-46df-b28d-db7f7fef8702","year":2020},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.597025Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:ffb0c994e08e68fd86afb8cdd0f764dbc6dd544e0e35866d24caa6e582916c46","observation_id":"9cb07ceb-b439-44ab-bad5-379aedad902e","resolution":{"observed_at":"2026-08-10T22:37:08.800800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.788768Z","title":"In: Erk, K., Smith, N.A","venue":null,"work_id":"060a39ef-7154-413b-8bd2-b132602bb93b","year":2016},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.600700Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:0b8f154e3a5e1e60e23ac45e892b20dcf9dc5f39c70a72936374b217d1d0e170","observation_id":"c819fec4-1002-4291-b763-80a98b52aafc","resolution":{"observed_at":"2026-08-10T22:37:08.791846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.778711Z","title":"BMC Bioinformatics","venue":null,"work_id":"1488aea8-c150-45d2-97c1-58cfe2f09d9c","year":2015},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.604541Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:8d9d7d6877a23501affc615220ddc3f8e829cef59bbce2a20f64f5ecebfe3ad4","observation_id":"abd0d318-7dc4-498c-b8b2-a2babe0b7a0d","resolution":{"observed_at":"2026-08-10T22:37:08.782475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.768458Z","title":null,"venue":null,"work_id":"2120a836-8003-4ed4-814f-c17799089296","year":2021},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.608018Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:69e3749e9c3dc9b91046647071c309e0af3d35382cd497d69b4250240c3df674","observation_id":"ac870dae-8f50-4389-9957-150114b333b3","resolution":{"observed_at":"2026-08-10T22:37:08.772090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.758203Z","title":null,"venue":null,"work_id":"62289e09-1e4b-470c-b64a-b307559ecf4c","year":2024},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.611147Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:5c68a3e33eeeae2dd636ab4a4556764f10a801973ae887f618c94a874683b2f4","observation_id":"321e5803-615b-46a8-8009-1dec7bb16556","resolution":{"observed_at":"2026-08-10T22:37:08.761863Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.748621Z","title":"(eds.) The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks","venue":null,"work_id":"f07cd01b-b0e8-4681-8333-1dc6681ec571","year":2023},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.614145Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:1b16792e7bf644b05da0c276bc2b234dc50a7f7f9dad6f3c29ed8103922a478d","observation_id":"f72dcab6-539b-436e-b834-3d0897895ea7","resolution":{"observed_at":"2026-08-10T22:37:08.752137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.736722Z","title":"Neurocomputing422, 118–128 (01 2021)","venue":null,"work_id":"29edd1ac-0a72-4cc6-b454-b226991dcdfc","year":2021},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.616971Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:394cc5a8740e17fe30044e5d0d8055f371cdce3e9490c7cda03946c703b891f6","observation_id":"4d70fc6a-64fd-44ea-b8bb-d88aa7d2517e","resolution":{"observed_at":"2026-08-10T22:37:08.740445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.724402Z","title":"In: Riloff, E., Chiang, D., Hockenmaier, J., Tsujii, J","venue":null,"work_id":"98a9635b-bdf6-48b5-bf59-166f1bfcbe70","year":2018},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.619951Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:6eec8d4c5111342b14ee0adbdbe3554af9b6302b28b97a692c20006468840520","observation_id":"ff5f412b-3302-4da9-8301-6aac908f585a","resolution":{"observed_at":"2026-08-10T22:37:08.728204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.711068Z","title":"In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","venue":null,"work_id":"f69c8822-2a9a-4461-b830-3a008f67fc37","year":2021},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.622741Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:118a3909cae51d56ccdeb6961559fc6b67f47d83bb2d53bf67f71a847c54c7eb","observation_id":"69856326-2fd0-4dd5-8de6-66d2547c1f3b","resolution":{"observed_at":"2026-08-10T22:37:08.715079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.698393Z","title":"Information Sciences 550, 27–40 (2021)","venue":null,"work_id":"88ef7c6d-aa50-4760-aa70-addf306eb59d","year":2021},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.625648Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:6f93e26108dc20f6ed1c775f198c0cfe068c89ecebdc5b41f229d80414832fef","observation_id":"04b1625d-79ad-4b6b-8665-6ebe8a718b5e","resolution":{"observed_at":"2026-08-10T22:37:08.702240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T22:37:08.686473Z","title":null,"venue":null,"work_id":"bd4b1e56-03cf-433f-a4a3-ded6a917d5d1","year":2020},"citing_paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T22:37:08.628674Z"},"links":{"citing_paper":"/paper/2501.01158"},"observation_digest":"sha256:9e74a8540f3b504f157b8485d2816efebcdb8eccb366049d25cb316551e66ca8","observation_id":"146c992b-c432-472d-9eee-6efdca0ac7f2","resolution":{"observed_at":"2026-08-10T22:37:08.690158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.01158","last_updated":"2025-01-21T09:12:40Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T14:52:10.225022Z","submitted_at":"2025-01-02T09:25:24Z","title":"Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":14},"total_outbound_references":20},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.01158."}