{"as_of":"2026-08-17T01:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:617960688811bc249f59bbcfbfe0d759c9e974f5b83d8802016d89d6880332ea","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:27:53.795045Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.09152/citation-record","integrity":"/paper/1908.09152/integrity","json":"/paper/1908.09152/citation-record.json","paper":"/paper/1908.09152"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:27:54.365697Z","title":null,"venue":null,"work_id":"c34d7ee0-52ae-445a-8095-88b57f832ce9","year":2006},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.615645Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:59c2df0af95730a77bc9e5f9fe4e0fa51517ec2e4c3d2109e70dee4209598660","observation_id":"df41d09c-17d3-426b-9026-1f1e29f0c202","resolution":{"observed_at":"2026-08-14T11:27:54.370459Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.350138Z","title":null,"venue":null,"work_id":"46b6f27f-50ef-477d-bc62-016a44b61377","year":2018},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.621522Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:9f125462704fb5e1e020a639f6bdd4a1fb8f5d932e2d0806740ac0747da4bfde","observation_id":"ce4487be-80c0-4f1f-beb0-1b2946cd4d29","resolution":{"observed_at":"2026-08-14T11:27:54.354966Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.334440Z","title":null,"venue":null,"work_id":"15918b30-ce7a-4fd3-a45b-ecddccc76fba","year":2002},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.626560Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:e4e3c403c7ec50cec69d7986dc08b02fa9cd6c99975f8a077580a51d748679ed","observation_id":"9c74bcee-3a92-4678-ae2b-8f1411e01fa3","resolution":{"observed_at":"2026-08-14T11:27:54.339353Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.318425Z","title":null,"venue":null,"work_id":"f9b69098-379c-4f11-84c3-c1eae98a311a","year":2013},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.631663Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:bfe2336018ca60dd7b74abaec6420b5832b28c83d0abf3aa5ccfe5d0729ef67b","observation_id":"6071aeaf-8229-4bf9-ac1c-8857cb1efd2a","resolution":{"observed_at":"2026-08-14T11:27:54.323366Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.636854Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.636854Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:8094658d2f43c544d756d584d62f5fe8a705d899e53704f868efbc40e854de17","observation_id":"638e9a99-84c3-4295-96b1-60952f17d832","resolution":{"observed_at":"2026-08-14T11:27:53.636854Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:27:53.642041Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.642041Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:b68b6d2990150fa249b15105b6e001b0e4e5134af73cc786d06c7d36b6615a42","observation_id":"074fe0b5-a36f-48ff-bb32-6aad052fcc81","resolution":{"observed_at":"2026-08-14T11:27:53.642041Z","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":"2026-08-14T11:27:54.282761Z","title":null,"venue":null,"work_id":"9a4fb2b7-f961-4727-9088-f453d31080f3","year":2015},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.647199Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:5863a6e5104baf23c60802448e0981d83bef1c4f9794ff406def6a004f775da4","observation_id":"9b858ff2-3c5e-41b6-9665-7e95835d9963","resolution":{"observed_at":"2026-08-14T11:27:54.287690Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.267898Z","title":null,"venue":null,"work_id":"0ba0d623-8d7b-4a66-8a1a-f48edb71369e","year":2018},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.652147Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:05d7be834664d77a00f7853d2c2d0ad405220e1b8be441a2e24f54226de69407","observation_id":"d594b40c-14b4-408e-a65a-6644599655d2","resolution":{"observed_at":"2026-08-14T11:27:54.272910Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.252966Z","title":null,"venue":null,"work_id":"057a0273-333b-427f-bcad-9de353de59aa","year":2017},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.656781Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:0c1a24acd68a80f0245030d4f78363b68743a1db1d260d6555c430ca10414af3","observation_id":"d3ac8683-b210-419b-8fc7-50b905212102","resolution":{"observed_at":"2026-08-14T11:27:54.257678Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.238287Z","title":null,"venue":null,"work_id":"18d35722-5733-4ddf-81b3-8e2c073c4f2c","year":2018},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.661408Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:3ef977bd7199f4c112e27fdf39a0e0fbdb98e6c9135a932fd13c4193348589dd","observation_id":"1edf9a8a-f6f3-42f0-930c-d2ff3fc10710","resolution":{"observed_at":"2026-08-14T11:27:54.242860Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.666141Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.666141Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:617debdb2871d4beea9e40799e075491ba729c0d652b42d3d49290babbe9f651","observation_id":"3c71c659-cba4-46c8-a4f5-6480eb6d9d0a","resolution":{"observed_at":"2026-08-14T11:27:53.666141Z","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":"2026-08-14T11:27:54.212945Z","title":null,"venue":null,"work_id":"5d5f5321-47ef-446f-9f5e-7cb860a092b5","year":2016},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.670537Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:1b1a4afc1c930c62937e5ea12882bede2c54628a350b26f58739e2de16c545b9","observation_id":"2de6fbeb-6d12-4eb2-9dbc-73cd9e67e8c9","resolution":{"observed_at":"2026-08-14T11:27:54.217769Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.198128Z","title":null,"venue":null,"work_id":"b874b741-4551-495e-bacd-a746891b4144","year":2019},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.675135Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:301916cb6fcbe36efc513610d042d632c0b0b2732997de7067c5158a5a924d7f","observation_id":"9dc04a5d-f395-4ec0-a2e6-31867d341194","resolution":{"observed_at":"2026-08-14T11:27:54.202844Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.182716Z","title":null,"venue":null,"work_id":"75dcd93c-f8bd-4176-a3c0-4deed4e03062","year":2003},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.679858Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:d644afe619e882473d4d5a4ee405efae565a22acf03b84524afbe205f43c647f","observation_id":"f248fc75-5e02-4a3e-b8ed-a7fcc679d6e8","resolution":{"observed_at":"2026-08-14T11:27:54.187317Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.167619Z","title":null,"venue":null,"work_id":"c2db0e78-250e-45f7-9d71-8e514bf1d740","year":2007},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.684482Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:45f0b91c7fd4702013ddffe9f3508caadb361fe48f586742ff0dcafde499b442","observation_id":"4d9c77ec-292c-4556-a3f1-15988aa30753","resolution":{"observed_at":"2026-08-14T11:27:54.172433Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.152180Z","title":null,"venue":null,"work_id":"cd106a56-d528-48e6-8652-92e8429d1547","year":2013},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.689047Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:8adbb16fe727c3199db8ffe0bb40d8a51b551c0ccb1aa0675376e956f29947c3","observation_id":"75df4125-8649-4673-8e05-10bb65a15b12","resolution":{"observed_at":"2026-08-14T11:27:54.157247Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.693897Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.693897Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:f54b3fb6b1359a643b40385d0dee3eeedca3479bf355671dfd591f5d7cd79726","observation_id":"98ed356a-0d3a-454f-9e93-790404fb922e","resolution":{"observed_at":"2026-08-14T11:27:53.693897Z","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":"2026-08-14T11:27:54.127209Z","title":null,"venue":null,"work_id":"b5094d03-e84c-4b61-8c11-76ee83f75979","year":2002},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.698709Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:cff2f20252f35d496db2e1b9d31b19551588296488a793576f4cc898779b16b2","observation_id":"25f05dfd-c40f-463c-8528-580b701fbcbe","resolution":{"observed_at":"2026-08-14T11:27:54.131624Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.111774Z","title":null,"venue":null,"work_id":"a311808d-0715-4bcd-b5e1-47e7059ce02e","year":2014},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.703220Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:b23c09486c95958b191cdaf2d886608efff96c2ebe5eb87da4063b2a30694ac6","observation_id":"caa6e346-22ff-4bea-a716-a1ca7b07226c","resolution":{"observed_at":"2026-08-14T11:27:54.116658Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.707901Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.707901Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:284573fa584de311d1017fa0ba79f2442e7532a79f47cbb7861af4f59aea5775","observation_id":"c98476b3-aedc-4ac2-b3a0-d2133674888a","resolution":{"observed_at":"2026-08-14T11:27:53.707901Z","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":"2026-08-14T11:27:54.086309Z","title":null,"venue":null,"work_id":"b5ef4050-a144-48d4-9f4c-40f69293e9e5","year":2008},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.712519Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:d7be284ed87361a0d163f69ad6b99191026c042385422e222b5c45750f93f499","observation_id":"59c530e0-854e-469c-a130-787c0663a200","resolution":{"observed_at":"2026-08-14T11:27:54.091549Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.717380Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.717380Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:2dd06066c4310534b6cc4be0c94730a2b5c72ee6344ae0c1ca8df9ec6526209b","observation_id":"53af910d-e0d3-47ea-a44f-33068e0daa35","resolution":{"observed_at":"2026-08-14T11:27:53.717380Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:27:53.721837Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.721837Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:6ec5e3f9d1a0556d5bd89f361f1dd48d29063a62a53af25ab56c9c668156b528","observation_id":"a4b9a5c6-204a-4ff0-8b24-1960c5b12dab","resolution":{"observed_at":"2026-08-14T11:27:53.721837Z","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":"2026-08-14T11:27:54.035910Z","title":null,"venue":null,"work_id":"b8a471de-f169-4a31-b953-2044417aa521","year":2011},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.731328Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:45b8898e48e4068f805c2bb50ab6afb3e0e0a3b5587b70a5f4ee811824294f28","observation_id":"4a50c643-4a1b-4b78-b15b-971ea75c7f15","resolution":{"observed_at":"2026-08-14T11:27:54.040528Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.735950Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.735950Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:1f6db5e3816be54a8b53130e915f931d4a64cf92395c0efd49d450f64ad2c3e2","observation_id":"045bf559-f778-4ee9-8a19-c2a0b53a6d48","resolution":{"observed_at":"2026-08-14T11:27:53.735950Z","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":"2026-08-14T11:27:54.010718Z","title":null,"venue":null,"work_id":"e00e1b5c-cd5d-4297-a02f-9607e04786d7","year":2018},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.740502Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:18172f932538ec47b92e9e98e6f763459175b1c40326d2a217596ec62a064c94","observation_id":"9781a8ff-eacf-4a28-956a-6bd557b30645","resolution":{"observed_at":"2026-08-14T11:27:54.015466Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.996461Z","title":null,"venue":null,"work_id":"1619e8c8-7246-43e4-ac27-70bbf90c33b6","year":2016},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.744843Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:69e1758c2dc813425b7518a42786a489733b600651c1c75ec9dcb051cd797554","observation_id":"20abfd82-1926-411a-add8-6bff783109fb","resolution":{"observed_at":"2026-08-14T11:27:54.001030Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.980054Z","title":null,"venue":null,"work_id":"d9c940a3-8aef-4475-8ca4-d698d528d882","year":2017},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.749048Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:0d5c612051f3ae51a122eb80426ca7a19ab3ddd03a711e25168fab93d02dc291","observation_id":"d4de2103-1993-48d3-bc18-e6e469179539","resolution":{"observed_at":"2026-08-14T11:27:53.985644Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.963699Z","title":null,"venue":null,"work_id":"12cd6827-2a18-4ffb-b226-d7fba05d7fe1","year":2016},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.753701Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:2a4932d206b28b9a991cf3dda66acf825311d668c8f546970fd71cd33b4503dd","observation_id":"05710a7f-680d-4e1e-851b-634cc919b246","resolution":{"observed_at":"2026-08-14T11:27:53.968284Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.948345Z","title":null,"venue":null,"work_id":"ca351f8c-955f-4ef7-8ca3-304667e66a2c","year":2017},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.757797Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:beca01a068d838656ee95f484150a6402559cd685089716ce24ed6991c4d1dca","observation_id":"c3f802ca-b9fe-4981-9b64-e7105b8e3198","resolution":{"observed_at":"2026-08-14T11:27:53.953518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.931825Z","title":null,"venue":null,"work_id":"5005c349-5d90-486f-a1cb-1f0e93d93b5e","year":2010},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.762328Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:93c58bd2a98eda3d85f68adee25154554c74f0f4f1802a4a2e350044f8764888","observation_id":"a1c7ebc6-46a9-4688-80ad-b8bdab75d2bb","resolution":{"observed_at":"2026-08-14T11:27:53.936852Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.915943Z","title":null,"venue":null,"work_id":"a29b8a96-8232-477b-92ed-54e84101fd55","year":2017},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.766882Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:1a87dd6bc1ebea597198cdcd82310387e0ff330a98b6fd0924b1f3c5b8aa68f7","observation_id":"241d01bc-a727-4ba1-94a6-3e5fdbc65532","resolution":{"observed_at":"2026-08-14T11:27:53.920664Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.899993Z","title":null,"venue":null,"work_id":"74834da9-68ec-4101-a579-1c3de7430de6","year":2018},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.771545Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:673534e551ec77afb56d414d17e3ad929ff90035714e2832f9420a0f753a7b8b","observation_id":"ecd808ef-0c5a-4650-a053-1821d851613b","resolution":{"observed_at":"2026-08-14T11:27:53.905259Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.776187Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.776187Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:ce96372d5ce1fcdff51275b12774a935515de0624185a4a5e66a4b963edeb255","observation_id":"077f9035-fdfa-43bd-8252-387345c5f8de","resolution":{"observed_at":"2026-08-14T11:27:53.776187Z","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":"2026-08-14T11:27:53.859048Z","title":null,"venue":null,"work_id":"b365d463-c577-4b73-93c3-2b98c37560c7","year":2010},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.785626Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:35eb801c3358a30789caa3aea08ad0c0a8026f540ab536a741da55e514f43fe1","observation_id":"2487f6ab-1f98-48f4-8996-e076eff76e40","resolution":{"observed_at":"2026-08-14T11:27:53.863623Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.843741Z","title":null,"venue":null,"work_id":"830cc4e5-7265-457b-9fcf-bc03d7285b46","year":2007},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.790498Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:958914b7b6f503bffa0b17b19aea8b9c1a5eca076790efb645767dcf12aabd9b","observation_id":"7b4f2b26-9b36-4c2d-bdac-2ea23c006629","resolution":{"observed_at":"2026-08-14T11:27:53.848532Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.826829Z","title":null,"venue":null,"work_id":"bf935c12-de7d-402c-89f0-436ac4d4d689","year":2016},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.795045Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:a5e26cf8708650c829a03be5e3adae3eafb2f32f3d08bdf5f45a9d203f80682f","observation_id":"b7f0e284-f7bd-4f67-949a-9df8e6e38dd7","resolution":{"observed_at":"2026-08-14T11:27:53.832604Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:54.050517Z","title":null,"venue":null,"work_id":"05bfdeb7-cc34-4724-b3f7-36f5b4185b2f","year":null},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.726541Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:3635859294b1d0590751bbcf894ff9dc288d050f02318336fae9d86c03b4d43f","observation_id":"df13ed3a-91db-4654-aaa8-f3d413f9a5c9","resolution":{"observed_at":"2026-08-14T11:27:54.055458Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:27:53.873643Z","title":"In SIGKDD","venue":null,"work_id":"6e2d0bb4-c77c-4c27-bc16-08d16f1ed96d","year":null},"citing_paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-14T11:27:53.781016Z"},"links":{"citing_paper":"/paper/1908.09152"},"observation_digest":"sha256:05cc477ea5267054295fe7f595e1a221db198e1d0982266e5a4c1a181249dbba","observation_id":"cc9f375b-1a4e-42a4-b7f6-460a7b90d184","resolution":{"observed_at":"2026-08-14T11:27:53.878504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.09152","last_updated":"2019-10-21T19:08:21Z","latest_version":2,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-16T07:37:06.027320Z","submitted_at":"2019-08-24T15:19:29Z","title":"Hyper-Path-Based Representation Learning for Hyper-Networks"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":38,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":39},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:1908.09152."}