{"as_of":"2026-08-09T21:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:17da84fd3721add8cde4b5d94e866d66a225e2c3eeeb7ba921f9a0911ec5872b","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:19:49.719782Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.00740/citation-record","integrity":"/paper/2509.00740/integrity","json":"/paper/2509.00740/citation-record.json","paper":"/paper/2509.00740"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-05T13:19:45.831175Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:45.831175Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:fbf3486aa98a3703b830edcba931889bd678cdeea9c9e5545b1f23c97f1fa172","observation_id":"8a4e91c1-2557-4590-9965-db1190567739","resolution":{"observed_at":"2026-08-05T13:19:45.831175Z","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":"2026-08-05T13:19:55.420408Z","title":"Hamilton","venue":null,"work_id":"2cbf04c8-d888-4f4c-ab6c-4f031378f58a","year":2020},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:45.947190Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:d869c276e3c712439746b45b26a7789732f8624ceb02d4c87958cff792633997","observation_id":"d518162d-edc8-46eb-9865-f5540be36d33","resolution":{"observed_at":"2026-08-05T13:19:55.537820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:55.207498Z","title":null,"venue":null,"work_id":"f4d44c9a-1881-48cd-8c63-205f6bc1bc25","year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:46.106608Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:26e3aa06f3108a4b1d686ceaabe3d7f1989dd23286c2f5c88f5d8414698467ae","observation_id":"61f1bb33-1d19-4418-a487-0331eda0cec0","resolution":{"observed_at":"2026-08-05T13:19:55.305797Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:54.902197Z","title":null,"venue":null,"work_id":"e36e29e2-084b-4f04-a3b8-23c5f2e4e454","year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:46.282297Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:a610fae5b4abdbb712098127ef8400b19dd7ea499be6dbc9772914608b7335d2","observation_id":"3c4b6aab-3ece-4e73-a0c2-7b1c64d9290b","resolution":{"observed_at":"2026-08-05T13:19:55.084887Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:54.607942Z","title":null,"venue":null,"work_id":"f31718dc-ce6d-4949-9a4b-acdbdc765154","year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:46.413129Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:dbf837df28000534506d0d9a14af4cd9aeabe7090c7a2ca94459325782786d87","observation_id":"9dacc011-d2ee-495f-833b-3813757c46af","resolution":{"observed_at":"2026-08-05T13:19:54.740613Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:54.305690Z","title":null,"venue":null,"work_id":"4e3ee675-b0f0-4fbf-a142-a7d4a139ecb7","year":2021},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:46.537808Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:d44b099ddf11dcdbe1f2bbfed9fe34c2db9c182699695b237d9ca9ff7ba7f207","observation_id":"45bbbc8b-d3f1-48bf-842e-29a7b376b027","resolution":{"observed_at":"2026-08-05T13:19:54.455744Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:54.018329Z","title":null,"venue":null,"work_id":"1b5aaa7e-71cb-4578-8d87-5ac0df3df112","year":2023},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:46.730888Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:d5f2bf7bf45b6b1a330f283cf434d0175d9e12001e2e5ab566114fb1213b6eb6","observation_id":"291a7fb7-a330-4672-bda3-4a1a0f61de56","resolution":{"observed_at":"2026-08-05T13:19:54.158124Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:53.738862Z","title":null,"venue":null,"work_id":"3ea67d95-1a3d-4e98-b048-0eb25c620ee3","year":2019},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:46.909948Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:bfcb7d118c564b46a81b5144b47e8201d71623f686781182953111e6750d6006","observation_id":"22d7573c-510f-4835-8a66-c14fb1f02b16","resolution":{"observed_at":"2026-08-05T13:19:53.827088Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:53.357897Z","title":null,"venue":null,"work_id":"eba306ff-1eac-4b49-9143-b7785025f283","year":2021},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:47.105327Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:62e55f82fa431f12653517ef3e047fc47f091450648be7934db8c21727f94770","observation_id":"75b1720d-b3dc-464e-b0bd-78e97a7b518f","resolution":{"observed_at":"2026-08-05T13:19:53.540401Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:53.074241Z","title":null,"venue":null,"work_id":"51982c2c-c7e6-4b54-9e07-cdb1dec8bccd","year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:47.238356Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:03e99b59aa05a730b8ac153be6ff918bb4dc273d748cc3b74849414c9c547b7d","observation_id":"303a84af-9083-456d-95d9-e4be2354b716","resolution":{"observed_at":"2026-08-05T13:19:53.200028Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:52.752607Z","title":"Pierrehumbert","venue":null,"work_id":"3814a337-8e40-4738-9a12-90beedcbd8e7","year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:47.366823Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:4102e1967ef60469ed19b49bcd888d23ac65f93b5dd6ddc9abaa8599aed6335b","observation_id":"4a0435c9-17c4-42c2-8a6c-ab4d4c7b6f4a","resolution":{"observed_at":"2026-08-05T13:19:52.926221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05862","last_updated":"2024-02-08T17:51:44Z","snapshot_observed_at":"2026-08-09T00:17:11.027770Z","submitted_at":"2024-02-08T17:51:44Z","title":"Let Your Graph Do the Talking: Encoding Structured Data for LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05862","snapshot_observed_at":"2026-08-05T13:19:47.547168Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:47.547168Z"},"links":{"cited_paper":"/paper/2402.05862","citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:d8d3aaeb8baf5e03ecd0f6f4c397563993e9e11ae6279150e739aefde33adbc0","observation_id":"cb783ae2-60d1-4d08-846f-1355fbf3f4a5","resolution":{"observed_at":"2026-08-05T13:19:47.547168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05530","last_updated":"2024-12-16T17:39:39Z","snapshot_observed_at":"2026-07-06T17:41:42.995949Z","submitted_at":"2024-03-08T18:54:20Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05530","snapshot_observed_at":"2026-08-05T13:19:47.724131Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:47.724131Z"},"links":{"cited_paper":"/paper/2403.05530","citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:40a71af9525a3ee41471df267b21c3fc96c71ebc023edcec8dc63bf1cd32c28e","observation_id":"a891c57b-cd2b-482d-a64b-d00dfc806c5a","resolution":{"observed_at":"2026-08-05T13:19:47.724131Z","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":"2026-08-05T13:19:52.426861Z","title":null,"venue":null,"work_id":"d29ca27c-2f24-4a57-aba6-0615765fd0f5","year":2021},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:47.880933Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:6ae036d8843eed28cc82a2668fba79203977267dcb1b615c9887819785f82a88","observation_id":"99b61be1-9eda-498e-bf7b-14b0b2e373c4","resolution":{"observed_at":"2026-08-05T13:19:52.591143Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:52.087073Z","title":"What if","venue":null,"work_id":"1de16e0c-e94b-4173-b729-d256f13356f2","year":2019},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:48.005253Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:da2efda4be2173916f252e532e13564d3f042c8476694512bd22df872158061f","observation_id":"79ffad88-deff-4578-8b51-b64a3ef08328","resolution":{"observed_at":"2026-08-05T13:19:52.254162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-05T13:19:48.160919Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:48.160919Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:bf13af52d8d1ca45be980db26d241199655a65be181e18bf945e3ac2120c3f12","observation_id":"557959be-d2d2-4aac-8de2-b1684f6c558e","resolution":{"observed_at":"2026-08-05T13:19:48.160919Z","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":"2026-08-05T13:19:48.266963Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:48.266963Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:70a384180743af5752cecbefe8f0298840ed623d733e81a588a5a22b42e6fa03","observation_id":"8dd21242-76df-47c5-bf45-8d3326c7eb60","resolution":{"observed_at":"2026-08-05T13:19:48.266963Z","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":"2026-08-05T13:19:51.782449Z","title":null,"venue":null,"work_id":"4559768b-a2e2-464d-9b4e-86e578eca991","year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:48.471772Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:b6efc09d5979adec372d13eecff349573e6e05a8b3063a50a7ca5cebcc394a2f","observation_id":"a97e234b-cae8-413a-8085-13a1274377c8","resolution":{"observed_at":"2026-08-05T13:19:51.906817Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:51.527994Z","title":null,"venue":null,"work_id":"b431f059-b78a-45c4-b815-f59d33f0a162","year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:48.643652Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:f309e2d4699b3e6804e91dbc07261e2de6e2bc136c542811cab4fde13a9f3f00","observation_id":"1458e2fb-9969-41ab-ad16-9a150cd407dd","resolution":{"observed_at":"2026-08-05T13:19:51.654138Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:51.238205Z","title":"Griffiths, Yuan Cao, and Karthik R Narasimhan","venue":null,"work_id":"ee1dca6c-c10a-4616-bf3a-7b3ac171da72","year":2023},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:48.846689Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:03ad1a55c412d1683579cf4302b8ba2ec68fbbe68e03678284fc3d21332b0d85","observation_id":"fc8f2270-f60e-4598-9013-7140e1e12e3c","resolution":{"observed_at":"2026-08-05T13:19:51.418491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:50.888851Z","title":null,"venue":null,"work_id":"0c55277f-9cdb-4305-a920-e6582f153b39","year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:49.023581Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:798f93c8318ce4ecd2d4fe569350c9c593cbf3cecc6a05c417d4670a2f9df3da","observation_id":"adb6e178-e241-42de-80d4-dfd95e3edbdc","resolution":{"observed_at":"2026-08-05T13:19:51.070964Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:50.548354Z","title":null,"venue":null,"work_id":"2ae65fa4-8c3e-4d42-bdf6-9b6ef25a3280","year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:49.212712Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:d11196fcae9126a28faf60de3e97b1c57791ddb027083074d8cff51c4c9d6f81","observation_id":"1eb9361d-ff67-4427-a7a3-b22c65c44d4c","resolution":{"observed_at":"2026-08-05T13:19:50.702055Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:19:50.230255Z","title":null,"venue":null,"work_id":"66b785c6-1f2a-4896-b182-472ffa16d8f1","year":null},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:49.409980Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:7fed9bcb9907e1bfb39559fe7e005134a50e758523a308ea0c474270ca3ad3cf","observation_id":"7fcb0e70-2077-42d6-8565-667d780c355c","resolution":{"observed_at":"2026-08-05T13:19:50.355653Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07394","last_updated":"2024-06-13T07:19:06Z","snapshot_observed_at":"2026-07-06T18:29:00.001236Z","submitted_at":"2024-06-11T16:01:07Z","title":"Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07394","snapshot_observed_at":"2026-08-05T13:19:49.719782Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:49.719782Z"},"links":{"cited_paper":"/paper/2406.07394","citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:0a1ce9004b27ebbe7f884606fae26dda0b92617b1b8b97c8bd8235fa3c70a012","observation_id":"d9080972-003c-4cd5-a42a-33991ca544a4","resolution":{"observed_at":"2026-08-05T13:19:49.719782Z","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":"2026-08-05T13:19:49.898546Z","title":"In EMNLP","venue":null,"work_id":"ab83787b-1f69-4914-b1cc-8fabdf05598d","year":null},"citing_paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:49.581029Z"},"links":{"citing_paper":"/paper/2509.00740"},"observation_digest":"sha256:f55b9b0d71f134cc0fc8ac15ef98d9d508ebbe82ffbd9c73eb53ea8994369abe","observation_id":"acd06b9f-7e42-49b7-99ff-e390ca906f1b","resolution":{"observed_at":"2026-08-05T13:19:50.057922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.00740","last_updated":"2025-08-31T08:07:56Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T21:46:17.186083Z","submitted_at":"2025-08-31T08:07:56Z","title":"Efficient Graph Understanding with LLMs via Structured Context Injection"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":0,"verified_fuzzy":5},"total_outbound_references":25},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.00740."}