{"as_of":"2026-08-13T14:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4777573e7c17b1c75e5b9c8a0cb6b0e0e3c9833b270e8f45c3f58f7197d37f77","coverage":[{"denominator":3,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T08:48:09.665964Z","state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T02:47:55.649231Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-05-12T02:51:17.946662Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.15706","last_updated":"2026-04-17T05:27:03Z","snapshot_observed_at":"2026-08-10T22:11:12.601130Z","submitted_at":"2026-04-17T05:27:03Z","title":"Target-Oriented Pretraining Data Selection via Neuron-Activated Graph","version":1},"cited_work":{"arxiv_id":"2604.15706","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.15706","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Target-Oriented Pretraining Data Selection via Neuron-Activated Graph","venue":"cs.CL","work_id":"2048a2e0-7ed8-4db3-96b8-ee3d7ef92d93","year":2026},"citing_paper":{"arxiv_id":"2605.09404","last_updated":"2026-05-10T08:07:09Z","snapshot_observed_at":"2026-08-12T14:56:54.130771Z","submitted_at":"2026-05-10T08:07:09Z","title":"Let the Target Select for Itself: Data Selection via Target-Aligned Paths","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-12T02:47:55.649231Z"},"links":{"cited_paper":"/paper/2604.15706","citing_paper":"/paper/2605.09404"},"observation_digest":"sha256:1b66efbc2576d79fd270f7391dbbe659eb6997eda6bf46b2224f94e5b05daf2e","observation_id":"f6dec4c3-cddf-40d1-b8b5-e67e8a9dd5d9","resolution":{"observed_at":"2026-05-12T02:51:17.948436Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2604.15706/citation-record","integrity":"/paper/2604.15706/integrity","json":"/paper/2604.15706/citation-record.json","paper":"/paper/2604.15706"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d81dc922-e968-413c-8b86-5a50b8c82bbf","year":null},"citing_paper":{"arxiv_id":"2604.15706","last_updated":"2026-04-17T05:27:03Z","snapshot_observed_at":"2026-08-10T22:11:12.601130Z","submitted_at":"2026-04-17T05:27:03Z","title":"Target-Oriented Pretraining Data Selection via Neuron-Activated Graph","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T08:48:09.665964Z"},"links":{"citing_paper":"/paper/2604.15706"},"observation_digest":"sha256:5b28b151bc8cbbd7c754485b038246144b64366a41514d12cc8cf0e9ae2404a1","observation_id":"9712e5f8-2721-4d44-ab7f-0fbb3eb3dcb7","resolution":{"observed_at":"2026-05-20T20:14:00.644973Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4cf0d58a-936c-444a-a551-d37f6f44ab39","year":null},"citing_paper":{"arxiv_id":"2604.15706","last_updated":"2026-04-17T05:27:03Z","snapshot_observed_at":"2026-08-10T22:11:12.601130Z","submitted_at":"2026-04-17T05:27:03Z","title":"Target-Oriented Pretraining Data Selection via Neuron-Activated Graph","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T08:48:09.665964Z"},"links":{"citing_paper":"/paper/2604.15706"},"observation_digest":"sha256:fb7f0adf30a44b0a15131ece5bd7a0e834558050495753903c872fc3ecf35098","observation_id":"bad764bb-1330-444c-b2b1-14d44df282d3","resolution":{"observed_at":"2026-05-20T20:14:00.642448Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":"expensive","venue":null,"work_id":"3c66752b-13e5-4c5f-ad3d-186f8b03ce93","year":2018},"citing_paper":{"arxiv_id":"2604.15706","last_updated":"2026-04-17T05:27:03Z","snapshot_observed_at":"2026-08-10T22:11:12.601130Z","submitted_at":"2026-04-17T05:27:03Z","title":"Target-Oriented Pretraining Data Selection via Neuron-Activated Graph","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T08:48:09.665964Z"},"links":{"citing_paper":"/paper/2604.15706"},"observation_digest":"sha256:a1770f247cfc5df01a4c0ae0802196ba9deb148f09cbfa815cc976c8df6c67e7","observation_id":"427eed47-f29d-403b-a312-c7106c727a94","resolution":{"observed_at":"2026-05-20T20:14:00.647013Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.15706","last_updated":"2026-04-17T05:27:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T22:11:12.601130Z","submitted_at":"2026-04-17T05:27:03Z","title":"Target-Oriented Pretraining Data Selection via Neuron-Activated Graph"},"reference_resolution":{"displayed":3,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":3},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 1 inbound Pith citation observation for arXiv:2604.15706."}