{"as_of":"2026-08-08T08:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:06542b7d0e4b5a01189b3df5de1f9d425187c9c0592b2dbb9cdeebda933aa394","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:13:42.855480Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2506.22165/citation-record","integrity":"/paper/2506.22165/integrity","json":"/paper/2506.22165/citation-record.json","paper":"/paper/2506.22165"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.09084","last_updated":"2023-07-18T09:06:35Z","snapshot_observed_at":"2026-08-08T06:43:09.478602Z","submitted_at":"2023-07-18T09:06:35Z","title":"Attention over pre-trained Sentence Embeddings for Long Document Classification","version":1},"cited_work":{"arxiv_id":"2307.09084","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.09084","snapshot_observed_at":"2026-08-06T22:13:43.854680Z","title":"Attention over pre-trained Sentence Embeddings for Long Document Classification","venue":"cs.CL","work_id":"c88d8872-cb8d-4f56-9a30-6ba60e2b4a78","year":2023},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:39.188806Z"},"links":{"cited_paper":"/paper/2307.09084","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:8b6c5050957911497e0f6e8a8b6f988b614e30b08f19d04b5a37dae541fd8078","observation_id":"b8a725b1-83d6-4f51-9024-40def07a6341","resolution":{"observed_at":"2026-08-06T22:13:43.966397Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:13:46.020594Z","title":"The journal of supercomputing80(3), 3902–3942 (2024)","venue":null,"work_id":"c49c143c-08ff-4cf2-9279-b303707a74a4","year":2024},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:39.340531Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:79fef2206341878cfc609c0743992a8950ab4f6607819d90385b4e7bb839424d","observation_id":"76bd1f5e-3d6e-4e36-9fe7-558d87ea37bb","resolution":{"observed_at":"2026-08-06T22:13:46.098314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02559","last_updated":"2020-10-06T09:06:07Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T09:06:07Z","title":"LEGAL-BERT: The Muppets straight out of Law School","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02559","snapshot_observed_at":"2026-08-06T22:13:39.478063Z","title":"arXiv preprint arXiv:2010.02559 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:39.478063Z"},"links":{"cited_paper":"/paper/2010.02559","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:2881313addbe79b7d6d9d2a2797de78e52401554bb9c4879178681f9348102e8","observation_id":"16fc84b8-d639-4365-9b5d-632e04eae1a8","resolution":{"observed_at":"2026-08-06T22:13:39.478063Z","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":"2026-08-06T22:13:45.863602Z","title":"In: Burstein, J., Doran, C., Solorio, T","venue":null,"work_id":"44009866-0f48-4a9f-9432-e9cc479c032d","year":2019},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:39.649540Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:c09a2174435518d730708d4ce8488d53419a77d56daa471af8a8d7314ba7b6fd","observation_id":"bf3951e4-01e3-4a8a-b713-8b812f1e85e8","resolution":{"observed_at":"2026-08-06T22:13:45.930670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.04771","last_updated":"2024-03-02T08:46:51Z","snapshot_observed_at":"2026-08-08T07:24:41.630324Z","submitted_at":"2021-07-10T06:37:36Z","title":"Similar Cases Recommendation using Legal Knowledge Graphs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.04771","snapshot_observed_at":"2026-08-06T22:13:39.742585Z","title":"arXiv preprint arXiv:2107.04771 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:39.742585Z"},"links":{"cited_paper":"/paper/2107.04771","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:b37f725720dd4119c01022f3306a7123a77bc0e32cfe6a46cd7799c4be099115","observation_id":"162c70eb-4952-4246-8af2-3a2f3cacebc7","resolution":{"observed_at":"2026-08-06T22:13:39.742585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.19923","last_updated":"2024-02-04T11:11:53Z","snapshot_observed_at":"2026-07-06T16:40:43.536565Z","submitted_at":"2023-10-30T18:35:30Z","title":"Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.19923","snapshot_observed_at":"2026-08-06T22:13:39.948511Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:39.948511Z"},"links":{"cited_paper":"/paper/2310.19923","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:0f124e0fb9ddda693a7c423609cbe805852ee04e022d3cc4bce7a30aaffb15b0","observation_id":"68718a86-d5da-4d78-a2ba-0615e6a4913d","resolution":{"observed_at":"2026-08-06T22:13:39.948511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1207.0580","last_updated":"2012-07-03T06:35:15Z","snapshot_observed_at":"2026-07-06T02:51:07.275676Z","submitted_at":"2012-07-03T06:35:15Z","title":"Improving neural networks by preventing co-adaptation of feature detectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1207.0580","snapshot_observed_at":"2026-08-06T22:13:40.133997Z","title":"arXiv preprint arXiv:1207.0580 (2012) The Missing Link 15","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:40.133997Z"},"links":{"cited_paper":"/paper/1207.0580","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:723d7da0d4841f6a53ee62d3937e9e250d6d1457ceb3f0b8cdf4445e0366943e","observation_id":"c5fa015f-75eb-4604-add8-8fd8c4bd1e8d","resolution":{"observed_at":"2026-08-06T22:13:40.133997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-06T22:13:40.340457Z","title":"arXiv preprint arXiv:1412.6980 (2014)","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:40.340457Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:068fe40a87c6e6827e567ff519d65db622e6efc40f4be98d7ccde191635ead20","observation_id":"49a55745-fb82-4189-865f-f4ab04371598","resolution":{"observed_at":"2026-08-06T22:13:40.340457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-06T22:13:40.503796Z","title":"arXiv preprint arXiv:1609.02907 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:40.503796Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:1165e34ee19e7a66e39a4e6e3b6fe0c1f3f0fb8f8ee1a713c9b87fa63d658a0f","observation_id":"50cba3fc-93d5-464f-bb74-8d5ca554783f","resolution":{"observed_at":"2026-08-06T22:13:40.503796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.07308","last_updated":"2016-11-21T11:37:17Z","snapshot_observed_at":"2026-08-06T06:17:37.090691Z","submitted_at":"2016-11-21T11:37:17Z","title":"Variational Graph Auto-Encoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.07308","snapshot_observed_at":"2026-08-06T22:13:40.623513Z","title":"org/abs/1611.07308","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:40.623513Z"},"links":{"cited_paper":"/paper/1611.07308","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:f34ee61c38ceaef51e96aecc8f53f357a7c5b87baaeaed5265550c12629445d6","observation_id":"a0c4cbaf-a351-4c6a-8499-f69e473cba9e","resolution":{"observed_at":"2026-08-06T22:13:40.623513Z","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":"2026-08-06T22:13:45.680766Z","title":"In:Proceedingsofthe13thInternationalJointConferenceonKnowledgeDiscovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR","venue":null,"work_id":"dbdb6953-4b7b-4a42-95a3-9ef360cbef40","year":2021},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:40.850993Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:24449ab4506f881b4965b2d2ba015c1479d20a3b991760b2ca41b6a1bde80068","observation_id":"584dda50-8200-4db5-9b71-1e37b6aeb66b","resolution":{"observed_at":"2026-08-06T22:13:45.756852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3583.33986","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:13:43.417824Z","title":"In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020","venue":null,"work_id":"f7ce1f15-e761-401e-91a7-02dc96ce4716","year":2020},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:41.024242Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:7a42a1d7f3a3f22e83d75186d44d47c49c2b815a773ffcdcf9582d2acf7e2917","observation_id":"80f7c701-487a-4130-bffc-4c8a37c5727b","resolution":{"observed_at":"2026-08-06T22:13:43.603653Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:13:45.531799Z","title":"In: Legal Knowledge and Information Systems, pp","venue":null,"work_id":"71f7e1c5-5919-442e-88b8-f55170c44e1c","year":2023},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:41.214935Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:fa4f9a6ef111bd55ac263ca41c03f3068edf2e67ae178286f90b34fa6d9f7d47","observation_id":"25545b7a-5c2b-444f-9e9e-1d16d454ad45","resolution":{"observed_at":"2026-08-06T22:13:45.599428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:13:45.298639Z","title":"In: Proceedings of the 9th international conference on Artificial intelligence and law","venue":null,"work_id":"ed7f67eb-d5b4-42dd-92ed-0dfbe2937f72","year":2003},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:41.359443Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:7ddb329d9691983881d24cbb862805ee1aff80ce9986898c72496be912a4b1b2","observation_id":"919bf61a-4ccf-4553-a17d-4fb4fd584673","resolution":{"observed_at":"2026-08-06T22:13:45.439205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:13:41.498326Z","title":"In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:41.498326Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:4498d1f94fd0d6479dafc9db6ddfddbaf9c9ea591045c551abad227fff3a78ad","observation_id":"6ef2426d-b9f3-4179-884d-50c180d2620a","resolution":{"observed_at":"2026-08-06T22:13:41.498326Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.09813","last_updated":"2020-10-05T06:30:56Z","snapshot_observed_at":"2026-08-06T22:52:30.854160Z","submitted_at":"2020-04-21T08:20:25Z","title":"Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.09813","snapshot_observed_at":"2026-08-06T22:13:41.688939Z","title":"In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:41.688939Z"},"links":{"cited_paper":"/paper/2004.09813","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:755bbe3378831c646b2affb6a9d1f5854dccd7997cb1fc6cf6b639a908e93691","observation_id":"682ff0a4-a2ae-4929-833b-426e6a01d8f6","resolution":{"observed_at":"2026-08-06T22:13:41.688939Z","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":"2026-08-06T22:13:45.106494Z","title":"In: The semantic web: 15th international conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, proceedings 15","venue":null,"work_id":"7ee13de8-7864-43fd-a624-a5c0f66d4af2","year":2018},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:41.855616Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:9fd16eb19ce16959c913abb8aa75bc9f2c43b9f768426790a1a6813564d29070","observation_id":"d1720cf2-75c6-4010-9c2c-11f9ba728320","resolution":{"observed_at":"2026-08-06T22:13:45.179058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:13:44.898178Z","title":"Artificial Intelligence and Law25(1), 107–126 (2017)","venue":null,"work_id":"27d7ca74-be45-4274-a3c4-13e2c01973c0","year":2017},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:42.012562Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:ee2fd4d886e4eb845b8235eae167921ba40a7bf20f2130c24832d9987a4f464c","observation_id":"03a15e17-69cd-4e50-a09a-b81d1a5ac1e8","resolution":{"observed_at":"2026-08-06T22:13:45.004903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-06T22:13:42.180932Z","title":"arXiv preprint arXiv:1710.10903 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:42.180932Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:66062ffeca5e88b298cce2e8a1765261892f88b316cc6b8ab9ee84803a5ef59e","observation_id":"0572cdd1-b939-44ce-9239-e14acd96a13c","resolution":{"observed_at":"2026-08-06T22:13:42.180932Z","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":"2026-08-06T22:13:44.581290Z","title":"In: The world wide web conference","venue":null,"work_id":"bc3577d3-ed8b-429a-8987-270b5ca2bf1a","year":2019},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:42.290057Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:5e8561fae827099846d7801d8f5977f61acb7d21f470dc4cc2cdda9a27233a86","observation_id":"dcfeeaf0-2665-421f-ae2d-a53b089a8baa","resolution":{"observed_at":"2026-08-06T22:13:44.725772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.12557","last_updated":"2021-02-24T20:57:16Z","snapshot_observed_at":"2026-07-06T10:44:25.570336Z","submitted_at":"2021-02-24T20:57:16Z","title":"Benchmarking Graph Neural Networks on Link Prediction","version":1},"cited_work":{"arxiv_id":"2102.12557","doi":null,"metadata_source":"pith","pith_arxiv_id":"2102.12557","snapshot_observed_at":"2026-08-06T22:13:43.013484Z","title":"Benchmarking Graph Neural Networks on Link Prediction","venue":"cs.LG","work_id":"8bece156-effa-42cc-aa7b-480a8f32f2e8","year":2021},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:42.442213Z"},"links":{"cited_paper":"/paper/2102.12557","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:a06360af84da92194e52df9cb3d8ff3e83b7800e6c2977d458a9c8edb99e80dd","observation_id":"16a4844e-a717-4aec-bb39-37dad8eb5c37","resolution":{"observed_at":"2026-08-06T22:13:43.127580Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:13:44.278222Z","title":"Knowledge and Information Systems45, 751–782 (2015)","venue":null,"work_id":"5d673f23-b8a4-4d22-b06c-f82e4cb705f8","year":2015},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:42.606012Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:daf36aef8ad4306dd3c5c23dbfe867242afa3768091367fe604fe0212164563e","observation_id":"053f8686-c404-4ef2-98d5-a653edaeef0d","resolution":{"observed_at":"2026-08-06T22:13:44.394462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:13:44.045769Z","title":"Mathematical Problems in Engineering2014(1), 509282 (2014)","venue":null,"work_id":"2dfd68e1-744d-4093-8361-fccd1c7b5084","year":2014},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:42.760083Z"},"links":{"citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:b5534beccc4c7c7e340245b58aca49c7f2c4e49f422c8074a0056d2b428be026","observation_id":"e60678b6-c0e3-4371-9507-97c054361f96","resolution":{"observed_at":"2026-08-06T22:13:44.166920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14556","last_updated":"2025-02-22T03:58:03Z","snapshot_observed_at":"2026-07-06T20:09:47.427018Z","submitted_at":"2024-12-19T06:14:20Z","title":"CitaLaw: Enhancing LLM with Citations in Legal Domain","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14556","snapshot_observed_at":"2026-08-06T22:13:42.855480Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T22:13:42.855480Z"},"links":{"cited_paper":"/paper/2412.14556","citing_paper":"/paper/2506.22165"},"observation_digest":"sha256:11dbf8852e4625c64f296e679330157c88620cfbb76ffec29c795a28d77365d0","observation_id":"10824172-776e-44b2-baf1-16fbc9a7b8e4","resolution":{"observed_at":"2026-08-06T22:13:42.855480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.22165","last_updated":"2025-06-27T12:21:41Z","latest_version":1,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-07T03:05:27.485232Z","submitted_at":"2025-06-27T12:21:41Z","title":"The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":10},"total_outbound_references":24},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.22165."}