{"as_of":"2026-08-07T14:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6f4a2ea2e5f30bafe83e386ae1aa7b70ab20964bc6b30cb4ade13a9fc817470c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:15:21.454509Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T20:57:23.314837Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.14781","last_updated":"2025-05-21T03:41:29Z","snapshot_observed_at":"2026-08-04T05:37:22.827625Z","submitted_at":"2024-09-23T07:55:35Z","title":"Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14781","snapshot_observed_at":"2026-08-06T15:15:21.454509Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16414","last_updated":"2025-07-22T10:05:30Z","snapshot_observed_at":"2026-08-06T15:07:39.822622Z","submitted_at":"2025-07-22T10:05:30Z","title":"Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T15:15:21.454509Z"},"links":{"cited_paper":"/paper/2409.14781","citing_paper":"/paper/2507.16414"},"observation_digest":"sha256:b3100fe7ad60fad2ad18dae6fe774f8513635bfde4b46488f1c27395cdaca40a","observation_id":"637cefb0-2249-407d-885f-c228f6cf9551","resolution":{"observed_at":"2026-08-06T15:15:21.454509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14781","last_updated":"2025-05-21T03:41:29Z","snapshot_observed_at":"2026-08-04T05:37:22.827625Z","submitted_at":"2024-09-23T07:55:35Z","title":"Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14781","snapshot_observed_at":"2026-08-06T14:51:53.845119Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.17389","last_updated":"2025-07-23T10:34:22Z","snapshot_observed_at":"2026-08-07T11:21:36.520513Z","submitted_at":"2025-07-23T10:34:22Z","title":"Investigating Training Data Detection in AI Coders","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T14:51:53.845119Z"},"links":{"cited_paper":"/paper/2409.14781","citing_paper":"/paper/2507.17389"},"observation_digest":"sha256:00a36e969c76beec37f0f911783c70bf1ae21034dfa92aab05615a590a6eab50","observation_id":"7fc4b8d2-cf88-4f0a-b520-a16a19c6c187","resolution":{"observed_at":"2026-08-06T14:51:53.845119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14781","last_updated":"2025-05-21T03:41:29Z","snapshot_observed_at":"2026-08-04T05:37:22.827625Z","submitted_at":"2024-09-23T07:55:35Z","title":"Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method","version":6},"cited_work":{"arxiv_id":"2409.14781","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.14781","snapshot_observed_at":"2026-07-02T20:57:23.314837Z","title":"Pretraining data detection for large language models: A divergence- based calibration method,","venue":null,"work_id":"e35b6bbe-2493-4123-8b16-723db0f0823e","year":2025},"citing_paper":{"arxiv_id":"2604.07825","last_updated":"2026-04-19T15:48:27Z","snapshot_observed_at":"2026-08-02T06:31:22.036762Z","submitted_at":"2026-04-09T05:27:04Z","title":"Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-10T17:36:36.680191Z"},"links":{"cited_paper":"/paper/2409.14781","citing_paper":"/paper/2604.07825"},"observation_digest":"sha256:28700757bc3fd64fc07fc5d10393d6c256a06a894e418c4bb9a80b1c8b146731","observation_id":"fe8683d4-a5ee-4a1b-8324-728973be40e7","resolution":{"observed_at":"2026-05-11T06:31:01.654876Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14781","last_updated":"2025-05-21T03:41:29Z","snapshot_observed_at":"2026-08-04T05:37:22.827625Z","submitted_at":"2024-09-23T07:55:35Z","title":"Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method","version":6},"cited_work":{"arxiv_id":"2409.14781","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.14781","snapshot_observed_at":"2026-07-02T20:57:23.314837Z","title":"Pretraining data detection for large language models: A divergence- based calibration method,","venue":null,"work_id":"e35b6bbe-2493-4123-8b16-723db0f0823e","year":2025},"citing_paper":{"arxiv_id":"2606.07996","last_updated":"2026-06-06T06:27:54Z","snapshot_observed_at":"2026-07-31T22:22:12.944552Z","submitted_at":"2026-06-06T06:27:54Z","title":"MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T20:02:50.169589Z"},"links":{"cited_paper":"/paper/2409.14781","citing_paper":"/paper/2606.07996"},"observation_digest":"sha256:14206e35938307751d35894187b25fd87b12ac3cc86cb418493bcdd340969b57","observation_id":"c8181a8a-0d7b-4f30-96d3-61fca2a7470a","resolution":{"observed_at":"2026-07-02T20:57:23.317104Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.14781/citation-record","integrity":"/paper/2409.14781/integrity","json":"/paper/2409.14781/citation-record.json","paper":"/paper/2409.14781"},"outbound":[],"paper":{"arxiv_id":"2409.14781","last_updated":"2025-05-21T03:41:29Z","latest_version":6,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T05:37:22.827625Z","submitted_at":"2024-09-23T07:55:35Z","title":"Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.14781."}