{"as_of":"2026-08-19T05:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e142a4f476ec7d8438594ce19f81742efbc91311631dc81de12a0c0bd67bd114","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":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T21:33:29.660302Z","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":"2026-07-03T17:08:43.670348Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-08-09T21:33:29.660302Z","title":"Enhanc- ing zeroth-order fine-tuning for language models with low-rank structures","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.19057","last_updated":"2025-01-31T11:34:03Z","snapshot_observed_at":"2026-08-14T13:37:00.502094Z","submitted_at":"2025-01-31T11:34:03Z","title":"TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-09T21:33:29.660302Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2501.19057"},"observation_digest":"sha256:1a63333c501bb8852bbf2f5d8f77f064d46be148a121f7a70b284fd8b3e94b99","observation_id":"5dba745c-cd70-4cb3-9093-0be6233c4e50","resolution":{"observed_at":"2026-08-09T21:33:29.660302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-08-09T21:23:48.487339Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19099","last_updated":"2025-05-23T12:41:11Z","snapshot_observed_at":"2026-08-18T09:27:52.410768Z","submitted_at":"2025-01-31T12:46:04Z","title":"Elucidating Subspace Perturbation in Zeroth-Order Optimization: Theory and Practice at Scale","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-09T21:23:48.487339Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2501.19099"},"observation_digest":"sha256:983b9a31c2bca50c30aa79e5fd8c0f7434cb82a2dbe50519cafea23f4fbc1a5a","observation_id":"df6583af-2229-478b-af51-b34e54458b07","resolution":{"observed_at":"2026-08-09T21:23:48.487339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-08-08T13:31:42.057316Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.07222","last_updated":"2025-02-11T03:32:10Z","snapshot_observed_at":"2026-08-18T08:53:17.467648Z","submitted_at":"2025-02-11T03:32:10Z","title":"A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T13:31:42.057316Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2502.07222"},"observation_digest":"sha256:aa63d9fc5316b12a001e93b506c15a45deb8fe642b782e849bf76df63d8f1b09","observation_id":"3416b57f-a747-44e1-aa4f-53cd5a854338","resolution":{"observed_at":"2026-08-08T13:31:42.057316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-08-07T05:06:15.802479Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09034","last_updated":"2025-06-30T03:33:12Z","snapshot_observed_at":"2026-08-14T18:59:05.324748Z","submitted_at":"2025-06-10T17:56:53Z","title":"FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:06:15.802479Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2506.09034"},"observation_digest":"sha256:b330996d57002fbf3fa1ba25c1fc84fb91c64d2d838c4ded2181c2d560dcac9b","observation_id":"35bdf3e2-071b-4dd9-a96c-d43b08afd38a","resolution":{"observed_at":"2026-08-07T05:06:15.802479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-08-04T17:01:42.042592Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures.arXiv preprint arXiv:2410.07698, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.11254","last_updated":"2025-09-14T12:54:28Z","snapshot_observed_at":"2026-08-09T11:55:48.689651Z","submitted_at":"2025-09-14T12:54:28Z","title":"From PowerSGD to PowerSGD+: Low-Rank Gradient Compression for Distributed Optimization with Convergence Guarantees","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T17:01:42.042592Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2509.11254"},"observation_digest":"sha256:9da709110b8f5e6fbcef6284de40e2de1d9a1e4d747eed426cc4c333b1e507e8","observation_id":"95b7e784-4094-479f-b626-8868187e7af5","resolution":{"observed_at":"2026-08-04T17:01:42.042592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":"2410.07698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-07-03T17:08:43.670348Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures.arXiv preprint arXiv:2410.07698","venue":null,"work_id":"93562c56-6202-4ca4-a4de-cadf1aa59ee5","year":2024},"citing_paper":{"arxiv_id":"2509.15113","last_updated":"2026-05-04T12:39:49Z","snapshot_observed_at":"2026-08-13T03:12:23.317745Z","submitted_at":"2025-09-18T16:17:44Z","title":"Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-18T15:25:21.814232Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2509.15113"},"observation_digest":"sha256:4ea1350170b615afdd153a9548ba376bc313dfb1dce307b62ff6b3574cd9844e","observation_id":"fd77e3b3-7c1f-4d02-a5d1-2d5d641a31f8","resolution":{"observed_at":"2026-05-18T15:26:33.700127Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":"2410.07698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-07-03T17:08:43.670348Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures.arXiv preprint arXiv:2410.07698","venue":null,"work_id":"93562c56-6202-4ca4-a4de-cadf1aa59ee5","year":2024},"citing_paper":{"arxiv_id":"2509.18993","last_updated":"2026-05-13T13:30:21Z","snapshot_observed_at":"2026-08-13T00:23:08.953189Z","submitted_at":"2025-09-23T13:43:02Z","title":"CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T14:51:30.312509Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2509.18993"},"observation_digest":"sha256:5d0bda528c366785a01b00bced55185f36995eb0380eee5b417ad11b4436c7c6","observation_id":"091a9375-e394-4e1a-8b28-fb92414d4c84","resolution":{"observed_at":"2026-05-18T14:52:41.113524Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-08-04T13:28:45.687627Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.00419","last_updated":"2026-05-29T06:48:10Z","snapshot_observed_at":"2026-08-13T09:39:46.389073Z","submitted_at":"2025-10-01T02:01:07Z","title":"Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-04T13:28:45.687627Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2510.00419"},"observation_digest":"sha256:695e75354531f6338368e00143278891f07af4b282cb34adbc95d4000dac819f","observation_id":"cde177c8-cc59-4591-b6f0-d41ce197c7cd","resolution":{"observed_at":"2026-08-04T13:28:45.687627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":"2410.07698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-07-03T17:08:43.670348Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures.arXiv preprint arXiv:2410.07698","venue":null,"work_id":"93562c56-6202-4ca4-a4de-cadf1aa59ee5","year":2024},"citing_paper":{"arxiv_id":"2605.00650","last_updated":"2026-05-01T13:31:35Z","snapshot_observed_at":"2026-08-12T12:26:48.658869Z","submitted_at":"2026-05-01T13:31:35Z","title":"AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-05-09T19:50:50.653184Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2605.00650"},"observation_digest":"sha256:d9084257b6ccdb8d74314456534fea17b1bf4da484025be9e30ea77abbc862e0","observation_id":"dbe0a637-8f02-4d93-bdf1-99e2c82a508e","resolution":{"observed_at":"2026-05-11T15:31:07.429916Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":"2410.07698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-07-03T17:08:43.670348Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures.arXiv preprint arXiv:2410.07698","venue":null,"work_id":"93562c56-6202-4ca4-a4de-cadf1aa59ee5","year":2024},"citing_paper":{"arxiv_id":"2605.09034","last_updated":"2026-05-15T13:21:07Z","snapshot_observed_at":"2026-08-12T12:25:59.287871Z","submitted_at":"2026-05-09T16:16:45Z","title":"Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T02:18:17.478817Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2605.09034"},"observation_digest":"sha256:1b18bc1350d6bdddb231ee1afaae1478edcb8e3143310a930637a0708275a2f2","observation_id":"9060aa58-b199-401e-9c37-a7d50ffcbff6","resolution":{"observed_at":"2026-05-12T02:21:16.991591Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":"2410.07698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-07-03T17:08:43.670348Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures.arXiv preprint arXiv:2410.07698","venue":null,"work_id":"93562c56-6202-4ca4-a4de-cadf1aa59ee5","year":2024},"citing_paper":{"arxiv_id":"2605.09034","last_updated":"2026-05-15T13:21:07Z","snapshot_observed_at":"2026-08-12T12:25:59.287871Z","submitted_at":"2026-05-09T16:16:45Z","title":"Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-19T17:33:00.747846Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2605.09034"},"observation_digest":"sha256:c0e7582f343c123a374845c694a4c350f2f6b7b2dc5d32c0e64e893a39c1eefa","observation_id":"b29acf24-b66c-4753-b40e-a692ded2ce3e","resolution":{"observed_at":"2026-05-19T17:33:09.404759Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":"2410.07698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-07-03T17:08:43.670348Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures.arXiv preprint arXiv:2410.07698","venue":null,"work_id":"93562c56-6202-4ca4-a4de-cadf1aa59ee5","year":2024},"citing_paper":{"arxiv_id":"2606.05516","last_updated":"2026-06-03T23:42:09Z","snapshot_observed_at":"2026-08-13T18:32:37.465305Z","submitted_at":"2026-06-03T23:42:09Z","title":"Dominant-Layer ZO: A Single Layer Dominates Zeroth-Order Fine-Tuning of LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-28T06:35:46.175065Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2606.05516"},"observation_digest":"sha256:f249b319340801909595e0999be92af0d0ea997a47d09f28b9dbf297afd92ba3","observation_id":"398d9924-14e5-4c58-8b17-4af6b8479684","resolution":{"observed_at":"2026-07-02T07:56:46.996581Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":"2410.07698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-07-03T17:08:43.670348Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures.arXiv preprint arXiv:2410.07698","venue":null,"work_id":"93562c56-6202-4ca4-a4de-cadf1aa59ee5","year":2024},"citing_paper":{"arxiv_id":"2606.14970","last_updated":"2026-06-22T08:40:27Z","snapshot_observed_at":"2026-08-15T05:15:12.732458Z","submitted_at":"2026-06-12T21:46:54Z","title":"Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-06-27T04:33:10.554853Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2606.14970"},"observation_digest":"sha256:b8a0470f0239a49ee5e6d8bac52ceb75cfba0fc210170927f3d919ae0892f125","observation_id":"3ee2334a-af43-4896-b5eb-dedfc0ab874d","resolution":{"observed_at":"2026-07-03T17:08:43.671804Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07698","snapshot_observed_at":"2026-07-14T09:14:06.532791Z","title":"Enhancing zeroth-order fine-tuning for language models with low-rank structures,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10791","last_updated":"2026-07-12T14:45:56Z","snapshot_observed_at":"2026-08-16T01:22:04.308908Z","submitted_at":"2026-07-12T14:45:56Z","title":"RED-SEGA:Resilient Decentralized Stochastic Proximal Optimization with Gradient Sketching over Time-Varying Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-14T09:14:06.532791Z"},"links":{"cited_paper":"/paper/2410.07698","citing_paper":"/paper/2607.10791"},"observation_digest":"sha256:f13540c17929fd815757de25772e2645bedffdbe97520a43b2b1b2180c41655a","observation_id":"c699db8b-2eaa-461d-bc9f-e56a38af15e1","resolution":{"observed_at":"2026-07-14T09:14:06.532791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.07698/citation-record","integrity":"/paper/2410.07698/integrity","json":"/paper/2410.07698/citation-record.json","paper":"/paper/2410.07698"},"outbound":[],"paper":{"arxiv_id":"2410.07698","last_updated":"2024-10-10T08:10:53Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T19:26:45.408992Z","submitted_at":"2024-10-10T08:10:53Z","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.07698."}