{"as_of":"2026-08-09T17:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:358864183df687fdc1538d829cf15553c411418dca12b3cda545f5301831ffb2","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":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:15:56.573405Z","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":"2026-07-01T10:35:41.673411Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-08-07T14:15:56.573405Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19588","last_updated":"2025-05-26T07:00:32Z","snapshot_observed_at":"2026-08-09T03:04:38.450078Z","submitted_at":"2025-05-26T07:00:32Z","title":"LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T14:15:56.573405Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2505.19588"},"observation_digest":"sha256:f5103c77e8dd733be1ff398509c055c9b116350c459719977433ef74b0faac04","observation_id":"04b860c6-af5d-45f7-9e6e-c98dc8c4c0b4","resolution":{"observed_at":"2026-08-07T14:15:56.573405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-08-07T05:18:29.539714Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08354","last_updated":"2026-05-28T08:13:47Z","snapshot_observed_at":"2026-08-07T05:10:51.150588Z","submitted_at":"2025-06-10T02:11:42Z","title":"Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.539714Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2506.08354"},"observation_digest":"sha256:895b3b882483ff75a0ddca2302466c7f51ad9cce7e724e9796ef85c4e2a99603","observation_id":"bf4c8758-6cf8-4cb4-8401-8c513fee1f1f","resolution":{"observed_at":"2026-08-07T05:18:29.539714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-08-06T23:02:57.417547Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20081","last_updated":"2025-06-26T04:06:50Z","snapshot_observed_at":"2026-08-06T22:54:51.992531Z","submitted_at":"2025-06-25T01:44:28Z","title":"SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T23:02:57.417547Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2506.20081"},"observation_digest":"sha256:cd45754710d1fcb7fbf2f753486f3ffee6dfd5f3fc0dd63ce2924deba69520a4","observation_id":"3ddb2f09-3420-47ba-a6d6-0f1b20d33583","resolution":{"observed_at":"2026-08-06T23:02:57.417547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":"2402.16829","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-07-01T10:35:41.673411Z","title":"arXiv preprint arXiv:2402.16829 (2024)","venue":null,"work_id":"e93a9eee-10f8-445f-aba0-98b04c0d3b0f","year":2024},"citing_paper":{"arxiv_id":"2507.08480","last_updated":"2026-05-19T10:50:22Z","snapshot_observed_at":"2026-08-01T08:10:11.292153Z","submitted_at":"2025-07-11T10:44:09Z","title":"Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-22T00:39:24.748381Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2507.08480"},"observation_digest":"sha256:6e7db0628e8055f8a2495f1866e09e8491b88d1034082dcc4f590de241634dfc","observation_id":"d9a3ef79-bc24-4464-8296-52a7130b1469","resolution":{"observed_at":"2026-05-22T00:40:50.963449Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-08-06T18:16:14.646819Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08983","last_updated":"2025-07-11T19:35:29Z","snapshot_observed_at":"2026-08-06T18:05:14.367192Z","submitted_at":"2025-07-11T19:35:29Z","title":"Exploiting Leaderboards for Large-Scale Distribution of Malicious Models","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T18:16:14.646819Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2507.08983"},"observation_digest":"sha256:d85888bbc6df810297e4192abebb1f672b42d5e5e334e5c0a7b119b060f297dd","observation_id":"b6b5f89c-e739-40e1-bc55-2a8168b33e9b","resolution":{"observed_at":"2026-08-06T18:16:14.646819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-08-06T17:47:12.268371Z","title":"Solatorio","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.10039","last_updated":"2025-07-14T08:16:58Z","snapshot_observed_at":"2026-08-08T16:03:19.285709Z","submitted_at":"2025-07-14T08:16:58Z","title":"Towards Applying Large Language Models to Complement Single-Cell Foundation Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T17:47:12.268371Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2507.10039"},"observation_digest":"sha256:98db0ebad45d30299f1c749849022d88dfaab100761e5e230cdf3958cc7eab13","observation_id":"bbecffe1-14ba-4667-8522-57cb0fbc3067","resolution":{"observed_at":"2026-08-06T17:47:12.268371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-08-06T16:29:26.643249Z","title":"CoRR abs/2402.16829 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13275","last_updated":"2025-07-17T16:33:57Z","snapshot_observed_at":"2026-08-09T08:17:54.228298Z","submitted_at":"2025-07-17T16:33:57Z","title":"Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:29:26.643249Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2507.13275"},"observation_digest":"sha256:f6b81816e63b60329d1aba016a217f7410203f8b38eb2a0276863b6ac782782a","observation_id":"d0b1f038-5db3-4818-aa59-42338081fc49","resolution":{"observed_at":"2026-08-06T16:29:26.643249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-08-05T23:01:45.773887Z","title":"Solatorio","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06014","last_updated":"2025-08-08T05:01:17Z","snapshot_observed_at":"2026-08-09T03:19:24.825871Z","submitted_at":"2025-08-08T05:01:17Z","title":"ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T23:01:45.773887Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2508.06014"},"observation_digest":"sha256:5c0bebcbe11d16b873c4604d5360f184a224bc563d85f7f69cd93a8d06131104","observation_id":"9369135e-7bb2-4a31-b044-932717c744b9","resolution":{"observed_at":"2026-08-05T23:01:45.773887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-08-04T07:22:07.934203Z","title":"Solatorio","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.27313","last_updated":"2026-08-02T16:40:30Z","snapshot_observed_at":"2026-08-08T04:38:26.888452Z","submitted_at":"2025-10-31T09:39:12Z","title":"LLM generation novelty through the lens of semantic similarity","version":3},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-04T07:22:07.934203Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2510.27313"},"observation_digest":"sha256:a97359647c92e73df8861a00137794f03780d4e9766808d4885a1c00f1cc26eb","observation_id":"eea290b2-8ed0-4287-9509-6ce53d81ee13","resolution":{"observed_at":"2026-08-04T07:22:07.934203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-07-13T23:39:49.137616Z","title":"63 Per Erik Solberg and Pablo Ortiz","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.16606","last_updated":"2026-06-18T13:24:02Z","snapshot_observed_at":"2026-08-08T10:09:47.933243Z","submitted_at":"2026-03-17T14:47:35Z","title":"Omnilingual SONAR: Cross-Lingual and Cross-Modal Sentence Embeddings Bridging Massively Multilingual Text and Speech","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-13T23:39:49.137616Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2603.16606"},"observation_digest":"sha256:b6d2ba6a16881062e5bb91f17aa8a1738326bb6edac04e2985763a12e69d3147","observation_id":"4bd41728-b146-41a2-8663-857533bec4f8","resolution":{"observed_at":"2026-07-13T23:39:49.137616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":"2402.16829","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-07-01T10:35:41.673411Z","title":"arXiv preprint arXiv:2402.16829 (2024)","venue":null,"work_id":"e93a9eee-10f8-445f-aba0-98b04c0d3b0f","year":2024},"citing_paper":{"arxiv_id":"2606.00084","last_updated":"2026-05-22T17:21:27Z","snapshot_observed_at":"2026-07-30T15:11:39.144660Z","submitted_at":"2026-05-22T17:21:27Z","title":"SentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T14:48:21.657642Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2606.00084"},"observation_digest":"sha256:a3216919c03048ed0bea558c5c7512b9c0ad5adc16dfbf150710bb69745a5b75","observation_id":"20af15d9-2b41-4113-9b09-039156e9c0da","resolution":{"observed_at":"2026-06-30T14:54:45.570475Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":"2402.16829","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-07-01T10:35:41.673411Z","title":"arXiv preprint arXiv:2402.16829 (2024)","venue":null,"work_id":"e93a9eee-10f8-445f-aba0-98b04c0d3b0f","year":2024},"citing_paper":{"arxiv_id":"2606.01400","last_updated":"2026-05-31T18:45:12Z","snapshot_observed_at":"2026-08-07T12:54:16.880688Z","submitted_at":"2026-05-31T18:45:12Z","title":"Consistent and Distinctive: LLM Benchmark Efficiency via Maximum Independent Set Prompt Selection on Similarity Graphs","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-28T16:56:29.536912Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2606.01400"},"observation_digest":"sha256:ab1ed9dcbe8856fb7694835f02901847fcb4ad839ac4ddc8052e984605a0f375","observation_id":"0ed22edc-52e0-4272-97f8-dc1afbe2d8be","resolution":{"observed_at":"2026-06-28T17:02:24.478591Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":"2402.16829","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-07-01T10:35:41.673411Z","title":"arXiv preprint arXiv:2402.16829 (2024)","venue":null,"work_id":"e93a9eee-10f8-445f-aba0-98b04c0d3b0f","year":2024},"citing_paper":{"arxiv_id":"2606.30473","last_updated":"2026-06-29T15:33:04Z","snapshot_observed_at":"2026-08-01T16:32:32.398897Z","submitted_at":"2026-06-29T15:33:04Z","title":"Field Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata Retrieval","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T06:11:34.975281Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2606.30473"},"observation_digest":"sha256:ee695053341c6c713a2114adfbb07a2b17103ea23a330bc4e959e9fdf487dacb","observation_id":"f88fa6b7-db51-47de-a10e-e9636d1e6570","resolution":{"observed_at":"2026-06-30T06:14:18.987105Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":"2402.16829","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-07-01T10:35:41.673411Z","title":"arXiv preprint arXiv:2402.16829 (2024)","venue":null,"work_id":"e93a9eee-10f8-445f-aba0-98b04c0d3b0f","year":2024},"citing_paper":{"arxiv_id":"2606.31692","last_updated":"2026-06-30T14:04:59Z","snapshot_observed_at":"2026-08-08T09:18:22.104586Z","submitted_at":"2026-06-30T14:04:59Z","title":"Overview of the TalentCLEF 2026: Skill and Job Title Intelligence for Human Capital Management","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-01T05:23:57.873942Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2606.31692"},"observation_digest":"sha256:f01fc96ddf1046db0c4aec12056f4f6ea658dafa22f07fc5f50397dda9f5b102","observation_id":"ec3442f8-c364-4554-87f3-ee776817f38a","resolution":{"observed_at":"2026-07-01T10:35:41.675122Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-07-14T03:38:31.477924Z","title":"Solatorio","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11722","last_updated":"2026-07-15T11:11:09Z","snapshot_observed_at":"2026-08-09T03:15:53.378762Z","submitted_at":"2026-07-13T15:48:01Z","title":"STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-14T03:38:31.477924Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2607.11722"},"observation_digest":"sha256:245c8f91cd5aa9fbf7423dc07a81dabca447b2e189859e832c839c2e60476837","observation_id":"8d273706-25c5-4adf-b911-61a9c116f74d","resolution":{"observed_at":"2026-07-14T03:38:31.477924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16829","snapshot_observed_at":"2026-08-02T06:51:53.132597Z","title":"Solatorio","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11722","last_updated":"2026-07-15T11:11:09Z","snapshot_observed_at":"2026-08-09T03:15:53.378762Z","submitted_at":"2026-07-13T15:48:01Z","title":"STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-02T06:51:53.132597Z"},"links":{"cited_paper":"/paper/2402.16829","citing_paper":"/paper/2607.11722"},"observation_digest":"sha256:a7694676c01919eaed7ef162d7ea52b1cadfe51dd54daaa87c672f8e8a5c1afb","observation_id":"a7d8ee93-6ed9-4308-b079-4d8c582a44fc","resolution":{"observed_at":"2026-08-02T06:51:53.132597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.16829/citation-record","integrity":"/paper/2402.16829/integrity","json":"/paper/2402.16829/citation-record.json","paper":"/paper/2402.16829"},"outbound":[],"paper":{"arxiv_id":"2402.16829","last_updated":"2024-02-26T18:55:15Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T19:37:22.377743Z","submitted_at":"2024-02-26T18:55:15Z","title":"GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning"},"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":"2026-08-09T06:31:02.800959+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 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.16829."}