{"as_of":"2026-08-07T22:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:92758425958717cb9f5baa3e0551eee74fcbb02b7a0355d5ee96e8c89f0b5512","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:56:21.580819Z","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":"2026-07-04T16:59:58.370553Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.06898","last_updated":"2020-12-12T20:01:33Z","snapshot_observed_at":"2026-08-07T18:31:32.563809Z","submitted_at":"2020-12-12T20:01:33Z","title":"Revisiting \"Qualitatively Characterizing Neural Network Optimization Problems\"","version":1},"cited_work":{"arxiv_id":"2012.06898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.06898","snapshot_observed_at":"2026-07-04T16:59:58.370553Z","title":"qualitatively characterizing neural network optimization problems","venue":null,"work_id":"e5bb7820-ce4c-4e3f-9355-fa5c8c197f5d","year":2012},"citing_paper":{"arxiv_id":"2405.07987","last_updated":"2024-07-25T09:33:50Z","snapshot_observed_at":"2026-08-06T11:02:06.607024Z","submitted_at":"2024-05-13T17:58:30Z","title":"The Platonic Representation Hypothesis","version":5},"reference_index":125,"source":"arxiv_source","source_observed_at":"2026-05-15T06:03:56.328012Z"},"links":{"cited_paper":"/paper/2012.06898","citing_paper":"/paper/2405.07987"},"observation_digest":"sha256:5d890cbd4ae184df83b121915362cce9186db795ae3bdd848345614789fe534c","observation_id":"42940048-9f06-48d9-be14-4a7b56d8b04f","resolution":{"observed_at":"2026-05-15T06:03:56.638637Z","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":"2012.06898","last_updated":"2020-12-12T20:01:33Z","snapshot_observed_at":"2026-08-07T18:31:32.563809Z","submitted_at":"2020-12-12T20:01:33Z","title":"Revisiting \"Qualitatively Characterizing Neural Network Optimization Problems\"","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.06898","snapshot_observed_at":"2026-08-06T16:56:21.580819Z","title":"qualitatively characterizing neural network optimization prob- lems","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.12224","last_updated":"2025-07-16T13:33:31Z","snapshot_observed_at":"2026-08-06T16:48:47.710572Z","submitted_at":"2025-07-16T13:33:31Z","title":"Optimizers Qualitatively Alter Solutions And We Should Leverage This","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:21.580819Z"},"links":{"cited_paper":"/paper/2012.06898","citing_paper":"/paper/2507.12224"},"observation_digest":"sha256:38b4b6692579e868af415da2748a0b72460f26718cbad65e6a5fc05b29dc8925","observation_id":"4423f3ef-2552-47a3-8430-f043af68336f","resolution":{"observed_at":"2026-08-06T16:56:21.580819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.06898","last_updated":"2020-12-12T20:01:33Z","snapshot_observed_at":"2026-08-07T18:31:32.563809Z","submitted_at":"2020-12-12T20:01:33Z","title":"Revisiting \"Qualitatively Characterizing Neural Network Optimization Problems\"","version":1},"cited_work":{"arxiv_id":"2012.06898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.06898","snapshot_observed_at":"2026-07-04T16:59:58.370553Z","title":"qualitatively characterizing neural network optimization problems","venue":null,"work_id":"e5bb7820-ce4c-4e3f-9355-fa5c8c197f5d","year":2012},"citing_paper":{"arxiv_id":"2606.17830","last_updated":"2026-06-16T11:59:00Z","snapshot_observed_at":"2026-08-02T16:34:34.912939Z","submitted_at":"2026-06-16T11:59:00Z","title":"Functional Equivalence in Attention: A Comprehensive Study with Applications to Linear Mode Connectivity","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T01:38:09.462452Z"},"links":{"cited_paper":"/paper/2012.06898","citing_paper":"/paper/2606.17830"},"observation_digest":"sha256:e5356cbf88543efd125508e1843ec912963489734aee19b51e06cdfa1a73f1e3","observation_id":"f72ed179-42ef-42db-98f4-e0379886cc1a","resolution":{"observed_at":"2026-07-03T20:08:56.114037Z","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":"2012.06898","last_updated":"2020-12-12T20:01:33Z","snapshot_observed_at":"2026-08-07T18:31:32.563809Z","submitted_at":"2020-12-12T20:01:33Z","title":"Revisiting \"Qualitatively Characterizing Neural Network Optimization Problems\"","version":1},"cited_work":{"arxiv_id":"2012.06898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.06898","snapshot_observed_at":"2026-07-04T16:59:58.370553Z","title":"qualitatively characterizing neural network optimization problems","venue":null,"work_id":"e5bb7820-ce4c-4e3f-9355-fa5c8c197f5d","year":2012},"citing_paper":{"arxiv_id":"2606.25087","last_updated":"2026-06-23T18:48:45Z","snapshot_observed_at":"2026-07-06T23:59:37.533078Z","submitted_at":"2026-06-23T18:48:45Z","title":"Neural Network Quantization by Learning Low-Loss Subspaces","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T00:05:03.762579Z"},"links":{"cited_paper":"/paper/2012.06898","citing_paper":"/paper/2606.25087"},"observation_digest":"sha256:a6d1f2a1ab8af2c16af8907054a86fc41b129a7e40464a2ebd7a6cbb27a4b6e1","observation_id":"69f404b7-f81b-4476-b948-f858998784cd","resolution":{"observed_at":"2026-07-04T16:59:58.372203Z","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":"2012.06898","last_updated":"2020-12-12T20:01:33Z","snapshot_observed_at":"2026-08-07T18:31:32.563809Z","submitted_at":"2020-12-12T20:01:33Z","title":"Revisiting \"Qualitatively Characterizing Neural Network Optimization Problems\"","version":1},"cited_work":{"arxiv_id":"2012.06898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.06898","snapshot_observed_at":"2026-07-04T16:59:58.370553Z","title":"qualitatively characterizing neural network optimization problems","venue":null,"work_id":"e5bb7820-ce4c-4e3f-9355-fa5c8c197f5d","year":2012},"citing_paper":{"arxiv_id":"2606.30384","last_updated":"2026-06-29T14:40:03Z","snapshot_observed_at":"2026-07-07T00:04:15.048683Z","submitted_at":"2026-06-29T14:40:03Z","title":"Scalar Representations of Neural Network Training Dynamics","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T07:06:49.458668Z"},"links":{"cited_paper":"/paper/2012.06898","citing_paper":"/paper/2606.30384"},"observation_digest":"sha256:5ad47fcca6122203a49f03315c60d31e35e04d17097762fe58b126557d706d70","observation_id":"12cc37c8-599f-45be-b461-a372ed0e7b06","resolution":{"observed_at":"2026-06-30T07:14:21.567104Z","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/2012.06898/citation-record","integrity":"/paper/2012.06898/integrity","json":"/paper/2012.06898/citation-record.json","paper":"/paper/2012.06898"},"outbound":[],"paper":{"arxiv_id":"2012.06898","last_updated":"2020-12-12T20:01:33Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T18:31:32.563809Z","submitted_at":"2020-12-12T20:01:33Z","title":"Revisiting \"Qualitatively Characterizing Neural Network Optimization Problems\""},"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 5 inbound Pith citation observations for arXiv:2012.06898."}