{"as_of":"2026-08-10T09:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:62c1f195fe180ad79c1b2815a402f667a2244b81ecdc5b7d4d76008bdb18b3ac","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T20:53:59.299915Z","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":"2026-05-16T20:18:23.716293Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":"2012.07463","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Parameter- efficient transfer learning with diff pruning","venue":null,"work_id":"59bfd7a5-3706-4e8d-aeea-c5eddf4b494c","year":2012},"citing_paper":{"arxiv_id":"2403.14608","last_updated":"2024-09-16T02:54:50Z","snapshot_observed_at":"2026-08-04T09:07:42.158421Z","submitted_at":"2024-03-21T17:55:50Z","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","version":7},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-13T11:32:36.738536Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2403.14608"},"observation_digest":"sha256:1e854bb9cc048deed3ced3a8e887ef5c155c70bc7840d9f2a03eebcdb5072b5f","observation_id":"fa39fc87-5f80-40da-bd8a-e72350bff624","resolution":{"observed_at":"2026-05-13T11:32:36.861771Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-09T20:53:59.299915Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.299915Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:d9126d221783405a343a9a2c56b10ec683a5aae9c7e2ffb8c62aff7885ca12d1","observation_id":"855f788d-7c5d-451f-ba0d-25023161bf37","resolution":{"observed_at":"2026-08-09T20:53:59.299915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-08T16:11:46.006589Z","title":"Rush, and Yoon Kim","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.06300","last_updated":"2025-02-10T09:43:43Z","snapshot_observed_at":"2026-08-10T00:28:52.614340Z","submitted_at":"2025-02-10T09:43:43Z","title":"The impact of allocation strategies in subset learning on the expressive power of neural networks","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-08T16:11:46.006589Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2502.06300"},"observation_digest":"sha256:94e0c8a1172a2272c9a66d34ea88d4c09f52d24821786b383062d6f5ce51789f","observation_id":"7838acaa-e838-4641-b511-077621ac80ec","resolution":{"observed_at":"2026-08-08T16:11:46.006589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-07T14:28:14.757107Z","title":"Parameter-efficient transfer learning with diff pruning","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.18877","last_updated":"2026-05-29T23:09:57Z","snapshot_observed_at":"2026-08-09T17:15:55.413490Z","submitted_at":"2025-05-24T21:33:16Z","title":"RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:28:14.757107Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2505.18877"},"observation_digest":"sha256:7c48407d08df398ca59dc224e9e200f2d5f57bdb4fddbe4c37d8b0dbbeeb3959","observation_id":"c425fb2f-8e5b-4e30-94cc-9adf9af76ceb","resolution":{"observed_at":"2026-08-07T14:28:14.757107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-07T11:00:37.575291Z","title":"Parameter-efficient transfer learning with diff pruning","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.04288","last_updated":"2025-06-04T10:09:33Z","snapshot_observed_at":"2026-08-09T04:47:16.858870Z","submitted_at":"2025-06-04T10:09:33Z","title":"Backbone Augmented Training for Adaptations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:00:37.575291Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2506.04288"},"observation_digest":"sha256:93ff350fec202e7286495db9cc896fbc6a26a16058d0e696f653af65a7da9f06","observation_id":"46f6bfb8-6ffa-4506-819c-2d0eeb4b8831","resolution":{"observed_at":"2026-08-07T11:00:37.575291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-06T22:43:55.559780Z","title":"Parameter-efficient transfer learning with diff pruning,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.21119","last_updated":"2025-06-26T09:37:15Z","snapshot_observed_at":"2026-08-06T22:30:28.321862Z","submitted_at":"2025-06-26T09:37:15Z","title":"Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:43:55.559780Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2506.21119"},"observation_digest":"sha256:3853666cc90fe1acb0a82a5d6ec8b9fbbea762fb48b64d553bf33516902c968f","observation_id":"540795af-bf38-4a4d-ad66-f2bb2bb438d0","resolution":{"observed_at":"2026-08-06T22:43:55.559780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-06T01:01:48.841807Z","title":"M.; and Kim, Y","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.03999","last_updated":"2025-08-06T01:26:43Z","snapshot_observed_at":"2026-08-06T01:01:43.978821Z","submitted_at":"2025-08-06T01:26:43Z","title":"Tensorized Clustered LoRA Merging for Multi-Task Interference","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T01:01:48.841807Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2508.03999"},"observation_digest":"sha256:b9975e14a04c89cbeaa16170121b28c0fe91db65294d98dc5c4d00a1bc5e9bdd","observation_id":"291d7bb2-cbc2-4dc2-af14-dcc8a088e744","resolution":{"observed_at":"2026-08-06T01:01:48.841807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-05T17:33:14.305960Z","title":"Rush, and Yoon Kim","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.16191","last_updated":"2025-08-22T08:12:06Z","snapshot_observed_at":"2026-08-09T16:09:26.472798Z","submitted_at":"2025-08-22T08:12:06Z","title":"GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T17:33:14.305960Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2508.16191"},"observation_digest":"sha256:7bfc76cb07fcc43e85fe690dbd0b3f6bcd159319f9849a6f45d07ce037c94f99","observation_id":"2020c9fd-ada6-409f-8cb8-28bc2d8010cc","resolution":{"observed_at":"2026-08-05T17:33:14.305960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-03T20:54:26.321645Z","title":"Parameter- efficient transfer learning with diff pruning.arXiv preprint arXiv:2012.07463, 2020","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2511.17979","last_updated":"2026-06-30T16:15:01Z","snapshot_observed_at":"2026-08-09T14:51:22.460458Z","submitted_at":"2025-11-22T08:46:18Z","title":"FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T20:54:26.321645Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2511.17979"},"observation_digest":"sha256:1d73d981626b93dcd9028614a58edb5ddf2f260894a00045cf6e744b19eca655","observation_id":"469e528f-3b71-4d03-9932-9d48cddbace1","resolution":{"observed_at":"2026-08-03T20:54:26.321645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":"2012.07463","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Parameter- efficient transfer learning with diff pruning","venue":null,"work_id":"59bfd7a5-3706-4e8d-aeea-c5eddf4b494c","year":2012},"citing_paper":{"arxiv_id":"2512.19219","last_updated":"2026-05-11T05:06:06Z","snapshot_observed_at":"2026-07-06T22:39:48.048525Z","submitted_at":"2025-12-22T10:02:10Z","title":"Selective LoRA for Visual Tokens and Attention Heads","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-16T20:17:07.884892Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2512.19219"},"observation_digest":"sha256:2a888e5c8cc2e14937b5d4efede09cca758b1d22df031dd522a924d5cb41b9cf","observation_id":"c51754aa-d554-4cf4-99d3-b543d2d7f678","resolution":{"observed_at":"2026-05-16T20:18:23.718553Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":"2012.07463","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Parameter- efficient transfer learning with diff pruning","venue":null,"work_id":"59bfd7a5-3706-4e8d-aeea-c5eddf4b494c","year":2012},"citing_paper":{"arxiv_id":"2604.09088","last_updated":"2026-04-10T08:16:59Z","snapshot_observed_at":"2026-08-02T06:22:24.141766Z","submitted_at":"2026-04-10T08:16:59Z","title":"Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual Path Distillation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T16:45:36.306400Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2604.09088"},"observation_digest":"sha256:f7a511f56335be0ac966a403a00103047903a58160de1679a59631d9b03b9703","observation_id":"e13be24a-c1d9-4e3b-b485-522bcde12638","resolution":{"observed_at":"2026-05-11T08:15:58.935881Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":"2012.07463","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Parameter- efficient transfer learning with diff pruning","venue":null,"work_id":"59bfd7a5-3706-4e8d-aeea-c5eddf4b494c","year":2012},"citing_paper":{"arxiv_id":"2605.04058","last_updated":"2026-04-10T08:00:28Z","snapshot_observed_at":"2026-07-06T23:16:54.673178Z","submitted_at":"2026-04-10T08:00:28Z","title":"MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-05-10T17:19:59.247074Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2605.04058"},"observation_digest":"sha256:ad4d3b0c73365cec2380f935efb17cb71b3b32a0a90ea9d4007fce6353e0954a","observation_id":"05bbd1ac-e647-4862-9f86-2046b9c3879d","resolution":{"observed_at":"2026-05-11T07:01:12.743171Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-02T09:51:03.411612Z","title":"arXiv preprint arXiv:2012.07463 , year=","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.16252","last_updated":"2026-06-27T03:25:36Z","snapshot_observed_at":"2026-08-08T02:31:05.095460Z","submitted_at":"2026-06-27T03:25:36Z","title":"SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-02T09:51:03.411612Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2607.16252"},"observation_digest":"sha256:441362fad8ecd3030c49634e0138cef29da5b3b6cf298cc8804f35123dc72596","observation_id":"67e534fd-5bfc-4317-b939-9a68970cc497","resolution":{"observed_at":"2026-08-02T09:51:03.411612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-02T09:01:52.143520Z","title":"arXiv preprint arXiv:2012.07463 , year=","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.19391","last_updated":"2026-07-02T19:01:59Z","snapshot_observed_at":"2026-08-06T10:12:22.643827Z","submitted_at":"2026-07-02T19:01:59Z","title":"LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-02T09:01:52.143520Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2607.19391"},"observation_digest":"sha256:1432397c335cce5ad9f3c3bc59b5ec43151c5067447df84f39cac662d16c76cf","observation_id":"1d560f45-f10b-44ef-82ca-b7b806c8d432","resolution":{"observed_at":"2026-08-02T09:01:52.143520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2012.07463/citation-record","integrity":"/paper/2012.07463/integrity","json":"/paper/2012.07463/citation-record.json","paper":"/paper/2012.07463"},"outbound":[],"paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2012.07463."}